Affiliation

  • Dept. of Computer Engineering
  • Cukurova University, Adana, TURKEY
  • E-Mail: mfakay@cu.edu.tr
  • Phone: +90-322-3387101 - x16

Education

  • PhD - Dept. of Electrical and Computer Engineering, Drexel University, 2005
  • MSc - Dept. of Electrical and Electronics Engineering, Cukurova University, 2001
  • BSc - Dept. of Electrical and Electronics Engineering, Cukurova University, 1999

Research Areas

  • Simulation and modeling of multiprocessors
  • Applications of machine learning methods

Conferences and Thesis Defenses

Social Events

Applications of Machine Learning Methods

  • Predicting Maximal Oxygen Uptake Using Machine Learning Methods
  • Predicting Upper Body Power of Cross-Country Skiers Using Different Regression Methods
  • Predicting Admission Decision of a Candidate to the School of Physical Education and Sports Using Different Classification Methods
  • Predicting Performance Measures of Multiprocessor Architectures Using Different Regression Methods
  • Predicting Hamstring and Quadriceps Muscle Strength of Athletes Using Machine Learning Methods
  • Predicting Maximum Endurance Times Using Machine Learning Methods
  • Predicting Traffic Density of New Generation Mobile Networks Using Machine Learning Methods
  • Predicting Resonant Frequency and Q-factor of Dielectric Resonators Using Machine Learning Methods

Simulation and Modeling of Multiprocessors

  • Development of New Congestion Control Algorithms for Broadcast-Based Multiprocessor Architectures
  • Performance Evaluation of Broadcast-Based Multiprocessor Architectures Using Simulation

  1. 21. M.F. Akay, F. Abut, E. Çetin, İ. Yarım and B. Sow, “Support vector machines for predicting the hamstring and quadriceps muscle strength of college-aged athletes”, Turkish Journal of Electrical Engineering and Computer Science, September 2016, DOI: 10.3906/elk-1603-304

  2. 20. F. Abut, M.F. Akay and J. George, “Developing new VO2max prediction models from maximal, submaximal and questionnaire variables using support vector machines combined with feature selection”, Computers in Biology and Medicine, vol. 79, pp. 182-192, December 2016

  3. 19. M.F. Akay, F. Abut, M. Ozciloglu and D. Heil, “Identifying the Discriminative Predictors of Upper Body Power of Cross-Country Skiers Using Support Vector Machines Combined with Feature Selection”, Neural Computing and Applications, vol. 27, no. 6, pp. 1785-1796, August 2016

  4. 18. C.I. Aci and M.F. Akay, “A hybrid congestion control algorithm for broadcast-based architectures with multiple input queues”, Journal of Supercomputing, vol. 71, no. 5, pp. 1907-1931, May 2015.

  5. 17. M.F. Akay, F. Abut, S. Daneshvar and D. Heil, “Prediction of upper body power of cross-country skiers using support vector machines”, The Arabian Journal for Science and Engineering, vol. 40, no. 4, pp. 1045 – 1055, April 2015.

  6. 16. M.F. Akay, C.I. Acı and F. Abut, “Predicting the performance measures of a 2-dimensional message passing multiprocessor architecture by using machine learning methods”, Neural Network World, vol. 25, no. 3, pp. 241-265, March 2015.

  7. 15. E. I. M. Zayid and M.F. Akay, "Predicting the performance measures of a message passing multiprocessor architecture by using artificial neural networks", Neural Computing and Applications, Volume 23, Issue 7, Page 2481-2491, December 2013.

  8. 14. M.F. Akay, E. I. M. Zayid, E. Akturk and James D. George, "Artificial neural network-based model for predicting VO2max from a submaximal exercise test", Expert Systems with Applications, vol. 37, no. 9, pp. 6293 - 6301, March 2011.

  9. 13 C.I. Aci and M.F. Akay, "A New Congestion Control Algorithm for Improving the Performance of a Broadcast-based Multiprocessor Architecture", Journal of Parallel and Distributed Computing, vol. 70, no. 9, pp. 930 - 940, September 2010.

  10. 12. M.F. Akay and I. Abasikeles, "Predicting the performance measures of an optical distributed shared memory multiprocessor by using support vector regression", Expert Systems with Applications, vol. 37, no. 9, pp. 6293 - 6301, September 2010.

  11. 11. M.F. Akay, I. Abasikeles and M. Oral, "Application of self organizing maps for investigating network latency on a broadcast-based distributed shared memory multiprocessor", Expert Systems with Applications, vol. 37, no. 4, pp. 2937 - 2942, April 2010.

  12. 10. I. Abasikeles and M.F. Akay, "Performance evaluation of directory protocols on an optical broadcast-based distributed shared memory multiprocessor", Computers & Electrical Engineering, vol. 36, no. 1, pp. 114 - 131, January 2010.

  13. 9. M.F. Akay, C.I. Aci, D.I. Bradshaw and J.D. George, "Support vector regression and multilayer feed forward neural networks for non-exercise prediction of VO2max", Expert Systems with Applications, vol. 36, no. 6, pp. 10112 - 10119, August 2009.

  14. 8. M. Acikkar and M.F. Akay, "Support vector machines for predicting the admission decision of a candidate to the School of Physical Education and Sports at Cukurova University", Expert Systems with Applications, vol. 36, no. 3, part 2, pp. 7228 - 7233, April 2009.

  15. 7. M. Acikkar, M.F. Akay, K. T. Ozgunen, K. Aydin and S. Sanli Kurdak, "Support vector machines for aerobic fitness prediction of athletes", Expert Systems with Applications, vol. 36, no. 2, part 2, pp. 3596 - 3602, March 2009.

  16. 6. M.F. Akay, "Support vector machines combined with feature selection for breast cancer diagnosis", Expert Systems with Applications, vol. 36, no. 2, part 2, pp. 3240 - 3247, March 2009.

  17. 5. M.F. Akay and Constantine Katsinis, "Performance improvement of parallel of programs on a broadcast-based distributed shared memory multiprocessor by simulation" Simulation Modelling Practice and Theory, vol. 16, no. 3, pp. 338-352, March 2008.

  18. 4. M.F. Akay and Constantine Katsinis, “Contention resolution on a broadcast-based distributed shared memory multiprocessor.” IET Computers & Digital Techniques, vol.2, no.1, pp. 45-55, January 2008.

  19. 3. Akay MF, Prokopenko Y, Kharkovsky S, “Resonance characteristic of whispering gallery modes in parallel-plates-type cylindrical dielectric resonators.” Microwave and Optical Technology Letters, 40 (2): 96-101 Jan 20 2004.

  20. 2. Hasar UC, Akay MF, Kharkovsky SN, “Determination of complex dielectric permittivity of loss materials at microwave frequencies,” Journal of Mathematical and Computational Applications, vol. 8, no.3, pp. 319-326, 2003.

  21. 1. Kharkovsky SN, Akay MF, Hasar UC, “Measurement and monitoring of microwave reflection and transmission properties of cement-based specimens.” IEEE Transactions on Instrumentation and Measurement 51 (6): 1210-1218 Dec 2002.

  22. 9. M. F. Akay, F. Abut, K. Kaya, E. Çetin and İ. Yarım, "New Regression Equations for Estimating the Maximal Oxygen Uptake of College of Physical Education and Sports Students in Turkey", New Trends and Issues Proceedings on Humanities and Social Sciences. [Online], vol. 3, pp. 11-17, March 2017.

  23. 8. M. M. Özçiloğlu, M. F. Akay and D. Heil, "On the Application of Artificial Intelligence and Feature Selection in Sports Science Education and Research: A Case Study", New Trends and Issues Proceedings on Humanities and Social Sciences. [Online], vol. 3, pp. 256-262, March 2017.

  24. 7. G. Özsert, M. F. Akay and H. Alak, "Development of New Hybrid Admission Decision Prediction Models Using Support Vector Machines Combined with Feature Selection", New Trends and Issues Proceedings on Humanities and Social Sciences. [Online], vol. 3, pp. 1-10, March 2017.

  25. 6. B. Sow, M. F. Akay, F. Abut, E. Çetin, İ. Yarım and H. Alak, "New Regression Models for Predicting the Hamstring Muscle Strength using Support Vector Machines", Çukurova University Journal of the Faculty of Engineering and Architecture, vol. 31, pp. 153-159, October 2016.

  26. 5. F. Abut, M. F. Akay and J. George, "Support Vector Machines with Individual Combinations of Relief-F and mRMR for Predicting VO2max from Maximal and Questionaire Data", International Journal of Advances in Electronics and Computer Science, vol. 3, pp. 63-67, October 2016.

  27. 4. D. Akgöl and M. F. Akay, "Network Traffic Forecasting Using Machine Learning and Statistical Regression Methods Combined with Different Time Lags", International Journal of Advances in Electronics and Computer Science, vol. 3, pp. 68-72, October 2016.

  28. 3. Y. Yur, M. F. Akay and F. Abut, "Short Term Voice Traffic Forecast in 3G/UMTS Networks Using Machine Learning and Statistical Methods", International Journal of Advances in Electronics and Computer Science, vol. 3, pp. 108-111, October 2016.

  29. 2. F. Abut and M. F. Akay, "Machine Learning and Statistical Methods for Prediction of Maximal Oxygen Uptake: Recent Advances", Medical Devices: Evidence and Research, vol. 8, pp. 369-379, August 2015.

  30. 1. M. F. Akay, G. Özsert ve J. D. George, “Destek vektör makineleri kullanılarak submaksimal verilerden maksimum oksijen tüketiminin tahmin edilmesi”, DEÜ Mühendislik Bilimleri Dergisi, cilt: 16, sayı: 483, Eylül 2014, sh. 42-48.

  31. 86. M. F. Akay, F. M. Taş and J. George, "A Case Study for the Application of Artificial Neural Networks in Sports Science Education and Research", 6th Cyprus International Conference on Educational Research (CYICER-2017), North Cyprus, 3-5 May 2017, pp. 47.

  32. 85. M. F. Akay, B. Sow, E. Çetin and İ. Yarım, "Investigating the Effect of Sport Branch on Predicting the Quadriceps Strength of Athletes Using Support Vector Machines", 6th Cyprus International Conference on Educational Research (CYICER-2017), North Cyprus, 3-5 May 2017, pp. 50.

  33. 84. M. F. Akay, S. Daneshvar and B. Turhan, "Exploring The Motivation of College Students Toward English Medium Instruction Using GMDH Polynomial Network", 6th Cyprus International Conference on Educational Research (CYICER-2017), North Cyprus, 3-5 May 2017, pp. 49.

  34. 83. M. F. Akay, E. Çetin, İ. Yarım and M. Özçiloğlu, "New Prediction Models for the Maximal Oxygen Uptake of College-aged Students Using Non-Exercise Data", 6th Cyprus International Conference on Educational Research (CYICER-2017), North Cyprus, 3-5 May 2017, pp. 46.

  35. 82. F. Abut, M. F. Akay and J. George, "Maximum-Likelihood Feature Selection for Prediction of Maximal Oxygen Uptake Using Support Vector Machines", 6th Cyprus International Conference on Educational Research (CYICER-2017), North Cyprus, 3-5 May 2017, pp. 48.

  36. 81. M. F. Akay, S. Daneshvar and B. Turhan, "Support Vector Machines for Predicting the Motivation Level of College Students on English Medium Instruction", Fourth International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2016), North Cyprus, 2-4 Nov 2016, pp. 15-16.

  37. 80. F. Abut, M. F. Akay and J. George, "Minimum-Redundancy Maximum-Relevance Feature Selection for Creating New Hybrid Models for Predicting Maximal Oxygen Uptake Using Support Vector Machines", Fourth International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2016), North Cyprus, 2-4 Nov 2016, pp. 21-22.

  38. 79. E. I. M. Zayid and M. F. Akay, "Clustering Algorithms on the Performance Measures for a Message Passing Multiprocessor Architecture", Fourth International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2016), North Cyprus, 2-4 Nov 2016, pp. 17-18.

  39. 78. M. F. Akay, E. Çetin, İ. Yarım and M. Özçiloğlu "Development of New Maximum Oxygen Uptake Prediction Models For Turkish College Students Using Support Vector Machines and Submaximal Data", Fourth International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2016), North Cyprus, 2-4 Nov 2016, pp. 19-20.

  40. 77. M. Özçiloğlu and M. F. Akay, "Predicting the Upper Body Power of Cross Country Skiers Using Support Vector Machines Combined with Correlation-based Feature Subset Selection", Fourth International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2016), North Cyprus, 2-4 Nov 2016, pp. 13-14.

  41. 76. D. Akgöl and M. F. Akay, "Network Traffic Forecasting Using Machine Learning and Statistical Regression Methods Combined with Different Time Lags", 71st International Conference on Artificial Intelligence and Soft Computing (ICAISC-2016), Barcelona, Spain, 18-19 August 2016, pp. 14-18.

  42. 75. Y. Yur, M. F. Akay and F. Abut, "Short Term Voice Traffic Forecast in 3G/UMTS Networks Using Machine Learning and Statistical Methods", 71st International Conference on Artificial Intelligence and Soft Computing (ICAISC-2016), Barcelona, Spain, 18-19 August 2016, pp. 19-22.

  43. 74. F. Abut, M. F. Akay and J. D. George, "Support Vector Machines with Individual Combinations of Relief-F and mRMR for Predicting VO2max from Maximal and Questionnaire Data", 71st International Conference on Artificial Intelligence and Soft Computing (ICAISC-2016), Barcelona, Spain, 18-19 August 2016, pp. 9-13.

  44. 73. E. Gürler and M. F. Akay, "Development of an Intelligent Internet Traffic Prediction and Forecasting Software", 1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Turkey, 26-28 October 2016.

  45. 72. Ö. F. Dinçer, M. F. Akay, E. Çetin, İ. Yarım and S. Daneshvar, "New Prediction Equations for Estimating the Maximal Oxygen Consumption of College-aged Students Using Hybrid Data", 1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Turkey, 26-28 October 2016.

  46. 71. B. Sow, M. F. Akay, F. Abut, E. Çetin, İ. Yarım and H. Alak, "New Regression Models for Predicting the Hamstring Muscle Strength Using Support Vector Machines", 1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Turkey, 26-28 October 2016.

  47. 70. H. Alak, M. F. Akay and J. D. George, "Predicting the Muscular Endurance Time Using Gene Expression Programming", 1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Turkey, 26-28 October 2016.

  48. 69. M. Özçiloğlu, M. F. Akay and D. Heil, "On the Application Artificial Intelligence and Feature Selection in Sports Science Education and Research: A Case Study", 5th Cyprus International Conference on Educational Research (CYICER-2016), North Cyprus, 1-2 April 2016, pp. 157.

  49. 68. G. Özsert, M. F. Akay and H. Alak, "Development of New Hybrid Admission Decision Prediction Models Using Different Machine Learning Methods Combined with Feature Selection", 5th Cyprus International Conference on Educational Research (CYICER-2016), North Cyprus, 1-2 April 2016, pp. 166.

  50. 67. M. F. Akay, E. Çetin, İ. Yarım, F. Abut and K. Kaya, "New Regression Equations for Estimating the Maximal Oxygen Uptake of College of Physical Education and Sports Students in Turkey", 5th Cyprus International Conference on Educational Research (CYICER-2016), North Cyprus, 1-2 April 2016, pp. 162.

  51. 66. E. I. M. Zayid and M. F. Akay, "Multilayer Feed-Forward Neural Networks for Predicting the Average Network Latency of a 2-Dimensional Distributed Shared Memory Multiprocessor", International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Turkey, 19-20 March 2016, pp. 50.

  52. 65. G. Özsert and M. F. Akay, "Investigating the Effect of Predictor Variables on Admission Decision Using Machine Learning Methods Combined with Feature Selection", International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Turkey, 19-20 March 2016, pp. 191-197.

  53. 64. M. Özçiloğlu and M. F. Akay, "Tree-Based Methods Combined with Feature Selection for Predicting Upper Body Power of Cross Country Skiers", International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Turkey, 19-20 March 2016, pp. 184-190.

  54. 63. K. Kaya, M. F. Akay, E. Çetin and İ. Yarım, "Development of New Prediction Models for Maximal Oxygen Uptake Using Artificial Intelligence Methods", International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Turkey, 19-20 March 2016, pp. 988-986.

  55. 62. D. Akgöl and M. F. Akay, "Performance Comparison of Machine Learning Methods and Different Time Lags for Network Traffic Forecasting", International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Turkey, 19-20 March 2016, pp. 177-183.

  56. 61. F. Abut and M. F. Akay, "Predicting the Resonant Frequency and Q-Factor of Cylindrical Dielectric Resonators with Whispering Gallery Modes Using Tree-Structured Regression Methods", International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Turkey, 19-20 March 2016, pp. 170-176.

  57. 60. F. Abut, M. F. Akay and J. George, "Data-driven Prediction of VO2max based on Maximal and Submaximal Variables Using Support Vector Machines Combined with Feature Selection", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 10-11.

  58. 59. M. Özçiloğlu, M. F. Akay and D. Heil, "New Prediction Models for Upper Body Power of Cross-Country Skiers Using Machine Learning Methods with Minimum-Redundancy Maximum-Relevance Feature Selection Algorithm", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 16-17.

  59. 58. D. Akgöl, M. F. Akay and Y. Yur, "Performance Comparison of Different Machine Learning Methods for Network Traffic Forecasting", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 12-13.

  60. 57. M. F. Akay, F. Abut and S. Daneshvar, "Artificial Neural Networks for Predicting the Resonant Frequency and Q-Factor of Whispering Gallery Mode Cylindrical Dielectric Resonators", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 5-6.

  61. 56. M. F. Akay, F. Abut, E. Çetin, İ. Yarım and B. Sow, "Data-Driven Modeling of Quadriceps and Hamstring Muscle Strength Using Support Vector Machines", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 2-4.

  62. 55. M. Açıkkar, M. F. Akay and J. George, "A New Data Reduction Algorithm for Improving the Performance of Support Vector Machines on Maximal Oxygen Uptake Prediction", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 14-15.

  63. 54. F. Abut, M. F. Akay, B. Sow and J. George, "Support Vector Machines for Prediction of Endurance Times Involving Isometric Side Bridge Exercise Test", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 7-9.

  64. 53. J. R. Tolley, J. D. George, P. R. Vehrs, J. D. Reece, M. F. Akay, B. Sow and E. D. J. Cambridge, "Prediction of maximum endurance times involving five core stabilization exercise assessments", Southwest Chapter - American College of Sports Medicine Annual Conference, Abstract #135, Newport Beach, CA, October, 2015.

  65. 52. F. Abut, M.F. Akay, I. Turhan and G. Ozsert, "Performance Evaluation of Different Classifiers for Predicting the Admission Decision of a Candidate to the School of Physical Education and Sports at Cukurova University", 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 178-184, ISBN:978-975-561-463-2.

  66. 51. M. Ozciloglu, F. Abut and M. F. Akay, “Feature selection for prediction of upper body power of cross-country skiers using different machine learning methods”, 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 82-89, ISBN:978-975-561-463-2.

  67. 50. F. Abut, M. F. Akay, I. Yildiz and J. D. George, “Performance comparison of different machine learning methods for prediction of maximal oxygen uptake from submaximal data”, 8th Engineering and Technology Symposium, Ankara, 14-15 May 2015, pp. 367-370.

  68. 49. M. F. Akay, F. Abut, C.I. Aci and I. Yildiz, “Predicting the processor and channel utilization of a 2-dimensional multiprocessor architecture by using support vector regression combined with feature selection”, 8th Engineering and Technology Symposium, Ankara, 14-15 May 2015, pp. 395-399.

  69. 48. E.I.M. Zayid and M.F. Akay, “High performance message passing over a parallel multiprocessor architecture”, 8th Engineering and Technology Symposium, Ankara, 14-15 May 2015, pp. 383-388.

  70. 47. F. Abut, M.F. Akay and J.D. George, “ Development of New Hybrid Models for Prediction of Maximum Oxygen Uptake Using Machine Learning Methods Combined with Feature Selection”, 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 163-170, ISBN:978-975-561-463-2.

  71. 46. D. Akgol, M.F. Akay and D. Heil, “Development of New Models for Predicting Upper Body Power of Cross-Country Skiers Using Machine Learning Methods”, 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 34-40.

  72. 45. F. Abut, E. Genc, M.F. Akay and J.D. George, “Investigating the Effects of Body Mass Index and Location Variables on the Prediction of Maximal Oxygen Uptake Using Support Vector Machines”, 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 54-61, ISBN:978-975-561-463-2.

  73. 44. M.F. Akay, E.I.M. Zayid, “ Performance Comparison of Different Regression Methods for Predicting the Performance Measures of a Multiprocessor Architecture”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 19-20.

  74. 43. M.F. Akay, D. Akgol and J. George, “Support Vector Machines Combined with Feature Selection for Prediction of Maximal Oxygen Uptake”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 3-4.

  75. 42. M.F. Akay, F. Abut, T.E. Sanli and D. Heil, “Investigating the Effects of Maximum Oxygen Uptake and Maximum Heart Rate Variables on the Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 8-9.

  76. 41. M.F. Akay, F. Abut and J. George, “Using Support Vector Machines to Predict Maximal Oxygen Uptake with the Help of Questionnaire Variables”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 5-6.

  77. 40. M.F. Akay, F. Abut, S. Daneshvar and D. Heil, “Prediction of Maximal Oxygen Uptake of Cross-Country Skiers Using Different Regression Methods”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 18-19.

  78. 39. M.F. Akay, F. Tas, G. Ozsert and J. George, “Performance Comparison of Different Regression Methods for Maximal Oxygen Uptake Prediction”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 13-14.

  79. 38. M.F. Akay, G. Ozsert, E. Genc and J. George, “Development of New Non-Exercise Maximal Oxygen Uptake Models by Using Support Vector Machines”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 11-12.

  80. 37. M.F. Akay, G. Ozsert and J. George, “Artificial Neural Network-based Models for Predicting Maximum Oxygen Uptake from Submaximal Data”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 1-2.

  81. 36. M.F. Akay, I. Turhan, D. Akgol and D. Heil, “Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines Combined with Feature Selection”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 7-9.

  82. 35. M.F. Akay, M. Guler and M. Acikkar, “Multilayer Perceptron Models for Predicting the Admission Decision of a Candidate to the School of Physical Educatio and Sports at Cukurova University”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 10.

  83. 34. M. Acikkar, M.F. Akay, F. Abut and O. Isoglu, “Predicting the Admission Decision of a Candidate to the School of Physical Education and Sports at Cukurova University by Using Multilayer Perceptron Combined with Feature Selection”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 15-16.

  84. 33. E. Akturk ve M.F. Akay, “Prediction of Maximal Oxygen Uptake Using Multilayer Perceptron Combined with Feature Selection”, 7th Engineering and Technology Symposium, 15-16 May, 2014, Ankara, Turkey, pp. 3-6.

  85. 32. M.F. Akay, S. Daneshvar, O. Isoglu ve D. Heil, “Predicting the Upper Body of Cross-Country Skiers Using Support Vector Machines”, 7th Engineering and Technology Symposium, 15-16 May, 2014, Ankara, Turkey, pp. 21-24.

  86. 31. E. Akturk and M.F. Akay, “Prediction of Maximal Oxygen Uptake Using Multilayer Perceptron and Multiple Linear Regression Combined with Feature Selection”, First International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2013), North Cyprus, 6-8 November 2013, pp. 29.

  87. 30. M. Acikkar and M.F. Akay, “A New Approach for Improving the Performance of Support Vector Machines for Maximal Oxygen Uptake Prediction”, First International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2013), North Cyprus, 6-8 November 2013, pp. 28.

  88. 29. E. Yucel, M.F. Akay and E. Akturk, “Investigating the Effect of Questionnaire Variables on the Prediction of Maximal Oxygen Uptake Using Multilayer Perceptron and Multiple Linear Regression”, First International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2013), North Cyprus, 6-8 November 2013, pp. 35.

  89. 28. S. Daneshvar and M.F. Akay, “Prediction of Upper Body Power of Cross-Country Skiers Using Artificial Neural Networks”, First International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2013), North Cyprus, 6-8 November 2013, pp. 30.

  90. 27. E.I.M. Zayid and M.F. Akay, “Reliable Attributes Selection Technique for Predicting the Performance Measures of a DSM Multiprocessor Architecture”, International Conference in Computing, Electronics and Electrical Engineering 2013 (ICCEEE2013), Khartoum, Sudan, 26-28 August 2013, pp. 209-215.

  91. 26. Cigdem Inan Aci and Mehmet F. Akay, “A Congestion Control Algorithm with Intermediate Node Selection Procedure For Performance Improvement of a 2-Dimensional Broadcast-Based Multiprocessor Architecture”, Proceedings of the Fourth International Conference on Mathematical and Computational Applications, June 11-13, 2013. Manisa, Turkey, pp.186-196.

  92. 25. I. Abasikeles and Mehmet F. Akay, “Using message combining and priority for mproving the performance of distributed shared memory multiprocessor systems”, Proceedings of the Fourth International Conference on Mathematical and Computational Applications, June 11-13, 2013. Manisa, Turkey, pp. 212-220.

  93. 24. M.F. Akay, N.S. Ghahremanlou, E. Akturk, J.D. George and E. Aktarla, “Performance comparison of different regression methods for VO2max prediction”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 7-11.

  94. 23. E.I.M. Zayid and M.F. Akay, “Multilayer feed forward neural network models for predicting the performance measures of a message passing multiprocessor architecture”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 22-27.

  95. 22. M.F. Akay, E. Akturk and J.D. George, “Artificial neural network models for predicting VO2max from exercise and non-exercise data”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 2-6.

  96. 21. G. Kale and M.F. Akay, “Improving the performance of a 2D multiprocessor architecture using message combining under client-server traffic model”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 66-71.

  97. 20. M. Acikkar, M.F. Akay, J.D. George, M. Delil and E. Akturk, “Artificial neural network models for predicting maximum oxygen uptake from submaxiaml exercise involving walking, jogging or running”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 17-21.

  98. 19. N.S. Ghahremanlou, M.F. Akay, E. Akturk, J.D. George and S. Daneshvar, “Artificial neural networks for developing new maximal oxygen uptake prediction models”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 12-16.

  99. 18. C.I. Aci and M.F. Akay, “Improving the performance of a 2-Dimensional broadcast-based multiprocessor architecture using congestion control algorithm", 9th International Conference on Electronics, Computer and Computation (ICECCO 2012), pp. 163-165, November 1-3, ISBN:978-605-87394-6-8.

  100. 17. I. Abasikeles, M.F. Akay, “Performance improvement of the two dimensional broadcast-based distributed shared memory multiprocessor systems”, 9th International Conference on Electronics,Computer and Computation (ICECCO 2012), pp. 149-152, November 1-3, ISBN:978-605-87394-6-8, Ankara, TURKEY.

  101. 16. J. D. George, R. L. Hager, P. R. Vehrs and M. F. Akay, "Predicting maximum oxygen uptake from submaximal endurance exercise involving walking, jogging, or running", Annual National Meeting of the American College of Sports Medicine, Denver, CO, June, 2011.

  102. 15. M.F. Akay, N. Shokrollahi, E. Akturk and J.D. George, “Development of new VO2max prediction models by using artificial neural networks”, 2nd International Symposium on Computing in Science and Engineering, Kusadasi, Turkey, 1-4 June 2011, pp. 39-44.

  103. 14. M.F. Akay and E.I.M. Zayid, “Predicting the performance measures of a message passing multiprocessor architecture by using artificial neural networks”, 2nd International Symposium on Computing in Science and Engineering, Kusadasi, Turkey, 1-4 June 2011, pp. 53-58.

  104. 13. M.F. Akay, E.I.M. Zayid, E. Akturk, G. Kale and J.D. George, “Artificial neural network-based model for predicting VO2max from a hybrid exercise test”, EECS'10, 6th International Symposium on Electrical and Computer Systems, Gemikonagi, Cyprus, 25-26 Nov 2010, pp. 16-20.

  105. 12. M. Acikkar and M.F. Akay, "Predicting the admission decision of a candidate to the School of Physical Education and Sports at Cukurova University bu using artificial neural networks", EECS'08, 5th International Symposium on Electrical and Computer Systems, Gemikonagi, Cyprus, 27-28 Nov 2008, pp. 215-220.

  106. 11. I. Abasikeles and M.F. Akay, "Performance Evaluation of Directory Protocols on an Optical Interconnection Network Supporting Distributed Shared Memory", EECS'08, 5th International Symposium on Electrical and Computer Systems, Gemikonagi, Cyprus, 27-28 Nov 2008, pp. 107-113.

  107. 10. C.I. Aci, M.F. Akay, D. Bradshaw and J.D. George, "Multilayer Feed Forward Neural Network Models for Non-Exercise Prediction of VO2max", ECS'08, 5th International Symposium on Electrical and Computer Systems, Gemikonagi, Cyprus, 27-28 Nov 2008, pp. 127-132.

  108. 9. I. Abasikeles and M.F. Akay, "Performance Evaluation of Different Directory Protocols on the Simultaneous Optical Multiprocessor Exchange Bus", OPNETWORK 2008, Washington DC, USA, 25-29 August 2007.

  109. 8. M.F. Akay and Constantine Katsinis, “Performance evaluation of a broadcast-based distributed shared memory multiprocessor by OPNET Modeler”, OPNETWORK 2007, Washington DC, USA, 26-30 August 2007.

  110. 7. S. N. Kharkovsky, M.F. Akay, U. C. Hasar, C.D. Atis, "A Measurement System for the Determination of the Concrete Quality by Using Microwave Techniques" NIMIA-SC2001 - 2001 NATO Advanced Study Institute on Neural Networks for Instrumentation, Measurement, and Related Industrial Applications: Study Cases, Crema, Italy, 9-20 October 2001.

  111. 6. M.F. Akay, Yu Prokopenko, S. N. Kharkovsky, “Numerical modelling of whispering gallery modes in parallel-plates type cylindrical anisotropic dielectric resonators,” IEEE Antennas and Propogation Society International Symposium, vol. 2, 8-13 July 2001, pp. 600-603.

  112. 5. Yu. Prokopenko, M.F. Akay and S. N. Kharkovsky. “Whispering gallery mode dielectric resonators for the millimeter wave near field sensing applications”, Physics and Engineering of Millimeter and Submillimeter Waves, 2001. MSMW'2001. Fourth International Kharkov Symposium, V.2, 4-9 June 2001, pp. 699-701.

  113. 4. M.F. Akay, S. N. Kharkovsky and U. C. Hasar, “An Automated Amplitudes-Only Measurement System for Permittivity Determination Using Free-Space Method”, Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference (IMTC/2001), 21-23 May 2001, Budapest, Hungary, pp. 503-506.

  114. 3. S. N. Kharkovsky, M.F. Akay, U. C. Hasar and C. D. Atis, “Measurement and Monitoring of Microwave Reflection and Transmission Properties of Cement-Based Specimens”, Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference (IMTC/2001), 21-23 May 2001, Budapest, Hungary, pp. 513-518.

  115. 2. S. N. Kharkovsky, U. C. Hasar, M.F. Akay and C. D. Atis, "Measurement and Monitoring of Microwave Reflection and Transmission Properties of Cement-Based Materials for Propagation Modeling", The IEEE Semiannual Vehicular Technology Conference, pp 1202 - 1206, vol. 2, 6-9 May 2001, Rhodes, Greece.

  116. 1. S. N. Kharkovsky, C. D. Atis, M.F. Akay and U. C. Hasar, “Measurement and Monitoring of Microwave Reflection Properties of Cement-Based Materials for Propagation Modeling”, 4th European Personal Mobile Communications Conference (EPMCC 2001), 20-22 February 2001, Vienna, Austria.

  117. 22. M.F. Akay, F. Abut, E. Çetin, İ. Yarım and B. Sow, “Support vector machines for predicting the hamstring and quadriceps muscle strength of college-aged athletes”, Turkish Journal of Electrical Engineering and Computer Science, September 2016, (accepted for publication)

  118. 21. F. Abut, M.F. Akay, "Kros Kayakçılarda Maksimum Oksijen Tüketimine Etki Eden Değişkenlerin Makine Öğrenme ve Nitelik Seçme Algoritmalarıyla Belirlenmesi", IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, 16-19 Mayıs 2015, Malatya, Türkiye, pp. 60-63.

  119. 20. G. Özsert, M.F. Akay, "Kros Kayakçıların Maksimum Oksijen Alımı Tahmini İçin Farklı Regresyon Yöntemlerinin Performans Karşılaştırması", IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, 16-19 Mayıs 2015, Malatya, Türkiye, pp. 72-75.

  120. 19. E. Genç, M.F. Akay, "Farklı Makine Öğrenme Yöntemleri Kullanarak Egzersize Dayalı Olmayan Yeni Maksimum Oksijen Tüketim Tahmin Modellerinin Geliştirilmesi", IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, 16-19 Mayıs 2015, Malatya, Türkiye, pp. 100-103.

  121. 18. D. Akgöl, M.F. Akay, "Nitelik Seçme ile Birleştirilmiş Makine Öğrenme Yöntemleri ile Kros Kayakçıların Üst Vücut Gücünün Tahmin Edilmesi", IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, 16-19 Mayıs 2015, Malatya, Türkiye, pp. 52-55.

  122. 17. S. Daneshvar, F. Abut, İ. Yıldız, M.F. Akay, "Farklı Makine Öğrenme Yöntemleri ile Kros Kayakçılar için Yeni Üst Vücut Gücü Tahmin Modellerinin Geliştirilmesi", IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, 16-19 Mayıs 2015, Malatya, Türkiye, pp. 164-167.

  123. 16. İ. Yıldız, M.F. Akay, "Submaksimal Veriler Kullanılarak Farkı Makine Ögrenme Yöntemleri İle Maksimum Oksijen Tüketiminin Tahmin Edilmesi", IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, 16-19 Mayıs 2015, Malatya, Türkiye, pp. 88-91

  124. 15. M.F. Akay, G. Özsert, M. Açıkkar ve J. George, “Destek Vektör Makineleri Kullanilarak Submaksimal Verilerden Maksimum Oksijen Tüketiminin Tahmin Edilmesi”, ASYU2014: Akıllı Sistemlerde Yenilikler ve Uygulamaları, 8-10 Ekim 2014, Izmir, Türkiye, pp. 20

  125. 14. M.F. Akay, D. Akgöl, E. Aktürk ve J. George, “Destek Vektör Makineleri ve Nitelik Seçici Algoritma Kullanılarak Maksimum Oksijen Tüketimi Tahmin Modellerinin Geliştirilmesi”, ASYU2014: Akıllı Sistemlerde Yenilikler ve Uygulamaları, 8-10 Ekim 2014, Izmir, Türkiye, pp. 21

  126. 13. G. Kale, M.F. Akay, E. Aktürk ve A.E. Tunçdemir, "Yapay Sinir Ağları Kullanılarak Egzersiz ve Egzersize Dayalı Olmayan Verilerden VO2max Tahmini", 21. Sinyal İşleme ve İletişim Uygulamalaıi Kurultayı, SIU2013, 24-26 Nisan 2013, KKTC.

  127. 12. M.F. Akay, E. Aktürk ve H. Kilitçioglu, "VO2max Tahmini İçin Farklı Regresyon Yöntemlerinin Performans Karşılaştırması", 21. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2013, 24-26 Nisan 2013, KKTC.

  128. 11. M.F. Akay, E. Aktürk ve A. Balikçi, "Yapay Sinir Ağı Kullanarak Submaksimal Egzersiz Testinden VO2max Tahmini", 21. Sinyal İşleme ve İletisim Uygulamaları Kurultayı, SIU2013, 24-26 Nisan 2013, KKTC.

  129. 10. E. Aktarla, M.F. Akay, E. Aktürk ve M. Açıkkar, "Egzersiz ve Anket Verileri Kullanarak Yapay Sinir Ağı Tabanli VO2max Tahmin Modelleri", 21. Sinyal İşleme ve İletisim Uygulamaları Kurultayı, SIU2013, 24-26 Nisan 2013, KKTC.

  130. 9. M. Acikkar, M.F. Akay, E. Aktürk ve M. Güleç, "Akıllı Regresyon Teknikleri Kullanarak Egzersize Dayalı Olmayan VO2max Tahmini", 21. Sinyal İşleme ve İletisim Uygulamaları Kurultayı, SIU2013, 24-26 Nisan 2013, KKTC.

  131. 8. I. Abasıkeleş, M.F. Akay, "Dagıtık Ortak Hafızalı Çoklu Mikroişlemcilere Sahip Optik Tabanlı Mimari Üzerinde Dizin Protokollerinin Basarim Çözümlemesi", I. Ulusal Yüksek Başarım ve Grid Konferansı, 15-18 Nisan 2009, ODTÜ KKM,Ankara, ISBN:978-975-403-500-1, pp:31-42.

  132. 7. Ç.İ. Acı, M.F.Akay,"SOME-Bus Mimarisi Üzerinde Mesaj Geçisi Protokolünün Başarımını Arttırmaya Yönelik Bir Algoritma", I. Ulusal Yüksek Başarım ve Grid Konferansı, 15-18 Nisan 2009, ODTÜ KKM,Ankara, ISBN:978-975-403-500-1, pp:147-154.

  133. 6. S. Mendi, M.F. Akay ve M. Açıkkar, "Destek Vektör Makineleri ile Beden Eğitimi ve Spor Yüksekokuluna Giriş İçin Başvuran Adayların Başarı Durumlarının Tahmini", Ç.Ü. Müh-Mim. Fak. 30. Yil Sempozyumu, 16-17 Ekim 2008, Adana.

  134. 5. Ç. I. Acı ve M.F. Akay, "Genelleştirilmiş Regresyon Ağları Kullanarak Egzersize Dayalı Olmayan VO2max Tahmini", Ç.Ü. Müh-Mim. Fak. 30. Yil Sempozyumu, 16-17 Ekim 2008, Adana.

  135. 4. I. Abasikeles ve M.F. Akay, "Some-Bus Mimamiris Üzerinde İki Farklı Dizin Protokolünün Performans Analizi", Ç.Ü. Müh-Mim. Fak. 30. Yil Sempozyumu, 16-17 Ekim 2008, Adana.

  136. 3. M.F. Akay, “Internet üzerinden ses transferi için ileri hata düzeltme tekniğinin performans analizi”, ITUSEM 2007, Adana, Türkiye.

  137. 2. S. N. Kharkovsky, M.F. Akay, U. C. Hasar and C. D. Atış, "Çimento Tabanlı Yapıların Mikrodalga Yansıma ve Kırılma Özelliklerinin Ölçülmesi ve İncelenmesi", Elektrik-Elektronik-Bilgisayar Mühendisliği 9.Ulusal Kongresi ve Fuarı, pp. 277-281, Kocaeli, Türkiye.

  138. 1. M.F. Akay ve S. N. Kharkovsky, “Boşluk Uzay Yöntemini Kullanarak Malzemelerin Dielektrik Sabitlerini Belirlemek için Önerilen Otomatik Ölçme Sistemi”, Elektrik-Elektronik-Bilgisayar Mühendisliği Sempozyumu (ELECO’2000), 8-12 Kasım 2000, Bursa, Türkiye, pp. 82-84.

  139. 2. İ. Abasıkeleş and M.F. Akay, "Performance Improvement Of The 2D Broadcast-based DSM Systems". LAP LAMBERT Academic Publishing, ISBN-13: 978-3-659-46249-8, ISBN-10: 3659462497, EAN: 9783659462498, 2013.

  140. 1. İ. Abasıkeleş ve M.F. Akay, "Performance Evaluation of Directory-based Cache Coherence Protocols on an Optical Interconnection Network Supporting Distributed Shared ", LAP LAMBERT Academic Publishing, 2011.

  • Assoc. Prof. Dr. Ebru Çetin

    School of Physical Education and Sport, Gazi University

    Publications:

    9. M. F. Akay, E. Çetin, İ. Yarım and M. Özçiloğlu, "New Prediction Models for the Maximal Oxygen Uptake of College-aged Students Using Non-Exercise Data", 6th Cyprus International Conference on Educational Research (CYICER-2017), North Cyprus, 3-5 May 2017, pp. 46.

    8. M. F. Akay, B. Sow, E. Çetin and İ. Yarım, "Investigating the Effect of Sport Branch on Predicting the Quadriceps Strength of Athletes Using Support Vector Machines", 6th Cyprus International Conference on Educational Research (CYICER-2017), North Cyprus, 3-5 May 2017, pp. 50.

    7. M. F. Akay, E. Çetin, İ. Yarım and M. Özçiloğlu "Development of New Maximum Oxygen Uptake Prediction Models For Turkish College Students Using Support Vector Machines and Submaximal Data", Fourth International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2016), North Cyprus, 2-4 Nov 2016, pp. 19-20.

    6. M.F. Akay, F. Abut, E. Çetin, İ. Yarım and B. Sow, “Support vector machines for predicting the hamstring and quadriceps muscle strength of college-aged athletes”, Turkish Journal of Electrical Engineering and Computer Science, September 2016, (accepted for publication)

    5. Ö. F. Dinçer, M. F. Akay, E. Çetin, İ. Yarım and S. Daneshvar, "New Prediction Equations for Estimating the Maximal Oxygen Consumption of College-aged Students Using Hybrid Data", 1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Turkey, 26-28 October, 2016.

    4. B. Sow, M. F. Akay, F. Abut, E. Çetin, İ. Yarım and H. Alak, "New Regression Models for Predicting the Hamstring Muscle Strength Using Support Vector Machines", 1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Turkey, 26-28 October, 2016.

    3. M. F. Akay, E. Çetin, İ. Yarım, F. Abut and K. Kaya, "New Regression Equations for Estimating the Maximal Oxygen Uptake of College of Physical Education and Sports Students in Turkey", 5th Cyprus International Conference on Educational Research (CYICER-2016), North Cyprus, 1-2 April, 2016.

    2. K. Kaya, M. F. Akay, E. Çetin and İ. Yarım, "Development of New Prediction Models for Maximal Oxygen Uptake Using Artificial Intelligence Methods", International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Turkey, 19-20 March 2016, pp. 988-986.

    1. M. F. Akay, F. Abut, E. Çetin, İ. Yarım and B. Sow, "Data-Driven Modeling of Quadriceps and Hamstring Muscle Strength Using Support Vector Machines", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 2-4.

  • Prof. Dr. Dan Heil

    Department of Health and Human Performance, Montana State University

    Publications:

    9. M. Özçiloğlu, M. F. Akay and D. Heil, "On the Application of Artificial Intelligence and Feature Selection in Sports Science Education and Research: A Case Study", 5th Cyprus International Conference on Educational Research (CYICER-2016), North Cyprus, 1-2 April, 2016.

    8. M. Özçiloğlu, M. F. Akay and D. Heil, "New Prediction Models for Upper Body Power of Cross-Country Skiers Using Machine Learning Methods with Minimum-Redundancy Maximum-Relevance Feature Selection Algorithm", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 16-17.

    7. M.F. Akay, F. Abut, M. Ozciloglu and D. Heil, “Identifying the Discriminative Predictors of Upper Body Power of Cross-Country Skiers Using Support Vector Machines Combined with Feature Selection”, Neural Computing and Applications, vol. 27, no. 6, pp. 1785-1796, August 2016.

    6. D. Akgol, M.F. Akay and D. Heil, “Development of New Models for Predicting Upper Body Power of Cross-Country Skiers Using Machine Learning Methods”, 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 33-40, ISBN:978-975-561-463-2.

    5. M.F. Akay, F. Abut, S. Daneshvar and D. Heil, “Prediction of upper body power of cross-country skiers using support vector machines”, The Arabian Journal for Science and Engineering, vol. 40, no. 4, pp. 1045 – 1055, April 2015.

    4. M.F. Akay, F. Abut, T.E. Sanli and D. Heil, “Investigating the Effects of Maximum Oxygen Uptake and Maximum Heart Rate Variables on the Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp.8-9.

    3. M.F. Akay, F. Abut, S. Daneshvar and D. Heil, “Prediction of Maximal Oxygen Uptake of Cross-Country Skiers Using Different Regression Methods”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 17-18.

    2. M.F. Akay, I. Turhan, D. Akgol and D. Heil, “Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines Combined with Feature Selection”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 7.

    1. M.F. Akay, S. Daneshvar, Ö. Isoglu ve D. Heil, “Predicting the Upper Body of Cross-Country Skiers Using Support Vector Machines”, 7. Mühendislik ve Teknoloji Sempozyumu, 15-16 Mayis 2014, Ankara, Türkiye, pp. 21-24.

  • Assoc. Prof. Dr. James George

    Department of Exercise Sciences, Brigham Young University

    Publications:

    28. M. F. Akay, F. M. Taş and J. George, "A Case Study for the Application of Artificial Neural Networks in Sports Science Education and Research", 6th Cyprus International Conference on Educational Research (CYICER-2017), North Cyprus, 3-5 May 2017, pp. 47.

    27. F. Abut, M. F. Akay and J. George, "Maximum-Likelihood Feature Selection for Prediction of Maximal Oxygen Uptake Using Support Vector Machines", 6th Cyprus International Conference on Educational Research (CYICER-2017), North Cyprus, 3-5 May 2017, pp. 48.

    26. F. Abut, M.F. Akay and J. George, “Developing new VO2max prediction models from maximal, submaximal and questionnaire variables using support vector machines combined with feature selection”, Computers in Biology and Medicine, vol. 79, pp. 182-192, December 2016

    25. F. Abut, M. F. Akay and J. George, "Minimum-Redundancy Maximum-Relevance Feature Selection for Creating New Hybrid Models for Predicting Maximal Oxygen Uptake Using Support Vector Machines", Fourth International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2016), North Cyprus, 2-4 Nov 2016, pp. 21-22.

    24. F. Abut, M. F. Akay and J. D. George, "Support Vector Machines with Individual Combinations of Relief-F and mRMR for Predicting VO2max from Maximal and Questionnaire Data", 71st International Conference on Artificial Intelligence and Soft Computing (ICAISC-2016), Barcelona, Spain, 18-19 August, 2016, pp. 9-13.

    23. H. Alak, M. F. Akay and J. D. George, "Predicting the Muscular Endurance Time Using Gene Expression Programming", 1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Turkey, 26-28 October, 2016.

    22. J. R. Tolley, J. D. George, P. R. Vehrs, J. D. Reece, M. F. Akay, B. Sow and E. D. J. Cambridge, "Prediction of maximum endurance times involving five core stabilization exercise assessments", Southwest Chapter - American College of Sports Medicine Annual Conference, Abstract #135, Newport Beach, CA, October, 2015.

    21. M. Açıkkar, M. F. Akay and J. George, "A New Data Reduction Algorithm for Improving the Performance of Support Vector Machines on Maximal Oxygen Uptake Prediction", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 14-15.

    20. F. Abut, M. F. Akay, B. Sow and J. George, "Support Vector Machines for Prediction of Endurance Times Involving Isometric Side Bridge Exercise Test", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 7-9.

    19. F. Abut, M. F. Akay and J. George, "Data-driven Prediction of VO2max based on Maximal and Submaximal Variables Using Support Vector Machines Combined with Feature Selection", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 10-11.

    18. F. Abut, M. F. Akay, I. Yildiz and J. D. George, “Performance comparison of different machine learning methods for prediction of maximal oxygen uptake from submaximal data”, 8th Engineering and Technology Symposium, Ankara, 14-15 May 2015.

    17. F. Abut, E. Genc, M.F. Akay and J.D. George, “Investigating the Effects of Body Mass Index and Location Variables on the Prediction of Maximal Oxygen Uptake Using Support Vector Machines”, 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 54-61, ISBN:978-975-561-463-2.

    16. F. Abut, M.F. Akay and J.D. George, “ Development of New Hybrid Models for Prediction of Maximum Oxygen Uptake Using Machine Learning Methods Combined with Feature Selection”, 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 163-170, ISBN:978-975-561-463-2.

    15. M.F. Akay, D. Akgol and J. George, “Support Vector Machines Combined with Feature Selection for Prediction of Maximal Oxygen Uptake”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 3-4.

    14. M.F. Akay, F. Abut and J. George, “Using Support Vector Machines to Predict Maximal Oxygen Uptake with the Help of Questionnaire Variables”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 5-6.

    13. M.F. Akay, F. Tas, G. Ozsert and J. George, “Performance Comparison of Different Regression Methods for Maximal Oxygen Uptake Prediction”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 13-14.

    12. M.F. Akay, G. Ozsert, E. Genc and J. George, “Development of New Non-Exercise Maximal Oxygen Uptake Models by Using Support Vector Machines”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 11-12.

    11. M.F. Akay, G. Ozsert and J. George, “Artificial Neural Network-based Models for Predicting Maximum Oxygen Uptake from Submaximal Data”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 1-2.

    10. M.F. Akay, N.S. Ghahremanlou, E. Akturk, J.D. George and E. Aktarla, “Performance comparison of different regression methods for VO2max prediction”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 7-11.

    9. M.F. Akay, E. Akturk and J.D. George, “Artificial neural network models for predicting VO2max from exercise and non-exercise data”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 2-6.

    8. M. Acikkar, M.F. Akay, J.D. George, M. Delil and E. Akturk, “Artificial neural network models for predicting maximum oxygen uptake from submaxiaml exercise involving walking, jogging or running”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 17-21.

    7. N.S. Ghahremanlou, M.F. Akay, E. Akturk, J.D. George and S. Daneshvar, “Artificial neural networks for developing new maximal oxygen uptake prediction models”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 12-16.

    6. J. D. George, R. L. Hager, P. R. Vehrs and M. F. Akay, "Predicting maximum oxygen uptake from submaximal endurance exercise involving walking, jogging, or running", Annual National Meeting of the American College of Sports Medicine, Denver, CO, June, 2011.

    5. M.F. Akay, N. Shokrollahi, E. Akturk and J.D. George, “Development of new VO2max prediction models by using artificial neural networks”, 2nd International Symposium on Computing in Science and Engineering, Kusadasi, Turkey, 1-4 June 2011, pp. 39-44.

    4. M.F. Akay, E. Ismail Mohommoud Zayid, E. Akturk and James D. George, "Artificial neural network-based model for predicting VO2max from a submaximal exercise test", Expert Systems with Applications, vol. 37, no. 9, pp. 6293 - 6301, March 2011.

    3. M.F. Akay, E.I.M. Zayid, E. Akturk, G. Kale and J.D. George, “Artificial neural network-based model for predicting VO2max from a hybrid exercise test”, EECS'10, 6th International Symposium on Electrical and Computer Systems, Gemikonagi, Cyprus, 25-26 Nov 2010, pp. 16-20.

    2. M.F. Akay, Ç. Inan, D.I. Bradshaw and J.D. George, "Support vector regression and multilayer feed forward neural networks for non-exercise prediction of VO2max", Expert Systems with Applications, vol. 36, no. 6, pp. 10112 - 10119, August 2009.

    1. C.I. Aci, M.F. Akay, D. Bradshaw and J.D. George, "Multilayer Feed Forward Neural Network Models for Non-Exercise Prediction of VO2max", ECS'08, 5th International Symposium on Electrical and Computer Systems, Gemikonagi, Cyprus, 27-28 Nov 2008, pp. 127-132.

  •  

    		  

    A.Mones NAWAF (MSc student)

     

    		  

    Mustafa Al-Asadi (MSc student)

     

    		  

    Merve KARAKOCA (MSc student)

     

    		  

    Murat Can Yuksel (MSc student)

     

    		  

    Hala Abdulkader (MSc student)

     

    		  

    Ezgi Akça (MSc student)

    Current position:

    Software Developer at the Department of Information Technologies of Adana Municipality

     

    		  

    Özge Bozkurt (MSc student)

    Current position:

    IT Developer at American International Development Company

     

    		  

    Shahaboddin Daneshvar ( MSc, August 2014; PhD candidate)

    Thesis title:

    Predicting the Performance of Cross Country Skiers Using Machine Learning Methods

    Msc thesis title:

    Prediction of Upper Body Power and Maximal Oxygen Uptake of Cross-Country Skiers Using Different Regression Methods

    Publications:

    9. M. F. Akay, S. Daneshvar and B. Turhan, "Support Vector Machines for Predicting the Motivation Level of College Students on English Medium Instruction", Fourth International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2016), North Cyprus, 2-4 Nov 2016.

    8. Ö. F. Dinçer, M. F. Akay, E. Çetin, İ. Yarım and S. Daneshvar, "New Prediction Equations for Estimating the Maximal Oxygen Consumption of College-aged Students Using Hybrid Data", 1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Turkey, 26-28 October 2016.

    7. M. F. Akay, F. Abut and S. Daneshvar, "Artificial Neural Networks for Predicting the Resonant Frequency and Q-Factor of Whispering Gallery Mode Cylindrical Dielectric Resonators", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 5-6.

    6. S. Daneshvar, F. Abut, İ. Yıldız, M.F. Akay, "Farklı Makine Öğrenme Yöntemleri ile Kros Kayakçılar için Yeni Üst Vücut Gücü Tahmin Modellerinin Geliştirilmesi", IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, 16-19 Mayıs 2015, Malatya, Türkiye, pp. 164-167.

    5. M.F. Akay, F. Abut, S. Daneshvar and D. Heil, “Prediction of upper body power of cross-country skiers using support vector machines”, The Arabian Journal for Science and Engineering, vol. 40, no. 4, pp. 1045 – 1055, April 2015.

    4. M.F. Akay, F. Abut, S. Daneshvar and D. Heil, “Prediction of Maximal Oxygen Uptake of Cross-Country Skiers Using Different Regression Methods”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 17-18.

    3. M.F. Akay, S. Daneshvar, O. Isoglu ve D. Heil, “Predicting the Upper Body of Cross-Country Skiers Using Support Vector Machines”, 7. Mühendislik ve Teknoloji Sempozyumu, 15-16 Mayis 2014, Ankara, Türkiye, pp. 21-24.

    2. S. Daneshvar and M.F. Akay, “Prediction of Upper Body Power of Cross-Country Skiers Using Artificial Neural Networks”, First International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2013), North Cyprus, 6-8 November 2013, pp. 30.

    1. N.S. Ghahremanlou, M.F. Akay, E. Akturk, J.D. George and S. Daneshvar, “Artificial neural networks for developing new maximal oxygen uptake prediction models”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 12-16.

     

    		  

     

    		  

    Fatih Mehmet Taş (MSc student)

    Current position:

    NPI Senior Engineer at Nokia

    Publications:

    1. M.F. Akay, F. M. Tas, G. Ozsert and J. George, “Performance Comparison of Different Regression Methods for Maximal Oxygen Uptake Prediction”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 13-14.

     

    		  

  • Yasin Yur (MSc June 2017 )

    Current position:

    RAN Planning & Optimization Supervisor at AVEA Communication Services Inc.

    Thesis title:

    Voice and Data Traffic Modeling and Prediction for a 3G Mobile Network Using Machine Learning Methods

    Publications:

    2. Y. Yur, M. F. Akay and F. Abut, "Short Term Voice Traffic Forecast in 3G/UMTS Networks Using Machine Learning and Statistical Methods", 71st International Conference on Artificial Intelligence and Soft Computing (ICAISC-2016), Barcelona, Spain, 18-19 August 2016, pp. 19-22.

    1. D. Akgöl, M. F. Akay and Y. Yur, "Performance Comparison of Different Machine Learning Methods for Network Traffic Forecasting", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 12-13.

     

    		  

     

    		  

    Boubacar Sow (MSc August 2017)

    thesis title:

    Prediction of Hamstring and Quadriceps Muscle Strength of Athletes Using Machine Learning Methods

    Publications:

    7. M. F. Akay, B. Sow, E. Çetin and İ. Yarım, "Investigating the Effect of Sport Branch on Predicting the Quadriceps Strength of Athletes Using Support Vector Machines", 6th Cyprus International Conference on Educational Research (CYICER-2017), North Cyprus, 3-5 May 2017, pp. 50.

    6. B. Sow, M. F. Akay, F. Abut, E. Çetin, İ. Yarım and H. Alak, "New Regression Models for Predicting the Hamstring Muscle Strength using Support Vector Machines", Çukurova University Journal of the Faculty of Engineering and Architecture, vol. 31, pp. 153-159, October 2016.

    5. M.F. Akay, F. Abut, E. Çetin, İ. Yarım and B. Sow, “Support vector machines for predicting the hamstring and quadriceps muscle strength of college-aged athletes”, Turkish Journal of Electrical Engineering and Computer Science, September 2016, DOI: 10.3906/elk-1603-304

    4. B. Sow, M. F. Akay, F. Abut, E. Çetin, İ. Yarım and H. Alak, "New Regression Models for Predicting the Hamstring Muscle Strength Using Support Vector Machines", 1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Turkey, 26-28 October 2016.

    3. J. R. Tolley, J. D. George, P. R. Vehrs, J. D. Reece, M. F. Akay, B. Sow and E. D. J. Cambridge, "Prediction of maximum endurance times involving five core stabilization exercise assessments", Southwest Chapter - American College of Sports Medicine Annual Conference, Abstract #135, Newport Beach, CA, October, 2015.

    2. M. F. Akay, F. Abut, E. Çetin, İ. Yarım and B. Sow, "Data-Driven Modeling of Quadriceps and Hamstring Muscle Strength Using Support Vector Machines", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 2-4.

    1. F. Abut, M. F. Akay, B. Sow and J. George, "Support Vector Machines for Prediction of Endurance Times Involving Isometric Side Bridge Exercise Test", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 7-9.

     

    		  

     

    		  

    Fatih Abut (PhD, April 2017)

    Current position:

    Researcher at TUBİTAK SAGE

    Thesis title:

    Development of New Hybrid Models for Prediction of Maximal Oxygen Uptake Using Machine Learning Methods Combined with Feature Selection

    Publications:

    29. F. Abut, M. F. Akay and J. George, "Maximum-Likelihood Feature Selection for Prediction of Maximal Oxygen Uptake Using Support Vector Machines", 6th Cyprus International Conference on Educational Research (CYICER-2017), North Cyprus, 3-5 May 2017, pp. 48.

    28. F. Abut, M.F. Akay and J. George, “Developing new VO2max prediction models from maximal, submaximal and questionnaire variables using support vector machines combined with feature selection”, Computers in Biology and Medicine, vol. 79, pp. 182-192, December 2016

    27. F. Abut, M. F. Akay and J. George, "Minimum-Redundancy Maximum-Relevance Feature Selection for Creating New Hybrid Models for Predicting Maximal Oxygen Uptake Using Support Vector Machines", Fourth International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2016), North Cyprus, 2-4 Nov 2016, pp. 21-22.

    26. M.F. Akay, F. Abut, E. Çetin, İ. Yarım and B. Sow, “Support vector machines for predicting the hamstring and quadriceps muscle strength of college-aged athletes”, Turkish Journal of Electrical Engineering and Computer Science, September 2016, DOI: 10.3906/elk-1603-304

    25. Y. Yur, M. F. Akay and F. Abut, "Short Term Voice Traffic Forecast in 3G/UMTS Networks Using Machine Learning and Statistical Methods", 71st International Conference on Artificial Intelligence and Soft Computing (ICAISC-2016), Barcelona, Spain, 18-19 August 2016, pp. 19-22.

    24. F. Abut, M. F. Akay and J. D. George, "Support Vector Machines with Individual Combinations of Relief-F and mRMR for Predicting VO2max from Maximal and Questionnaire Data", 71st International Conference on Artificial Intelligence and Soft Computing (ICAISC-2016), Barcelona, Spain, 18-19 August 2016, pp. 9-13.

    23. B. Sow, M. F. Akay, F. Abut, E. Çetin, İ. Yarım and H. Alak, "New Regression Models for Predicting the Hamstring Muscle Strength Using Support Vector Machines", 1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Turkey, 26-28 October 2016.

    22. M. F. Akay, E. Çetin, İ. Yarım, F. Abut and K. Kaya, "New Regression Equations for Estimating the Maximal Oxygen Uptake of College of Physical Education and Sports Students in Turkey", 5th Cyprus International Conference on Educational Research (CYICER-2016), North Cyprus, 1-2 April 2016, pp. 162.

    21. F. Abut and M. F. Akay, "Predicting the Resonant Frequency and Q-Factor of Cylindrical Dielectric Resonators with Whispering Gallery Modes Using Tree-Structured Regression Methods", International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Turkey, 19-20 March 2016, pp. 170-176.

    20. M. F. Akay, F. Abut and S. Daneshvar, "Artificial Neural Networks for Predicting the Resonant Frequency and Q-Factor of Whispering Gallery Mode Cylindrical Dielectric Resonators", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 5-6.

    19. M. F. Akay, F. Abut, E. Çetin, İ. Yarım and B. Sow, "Data-Driven Modeling of Quadriceps and Hamstring Muscle Strength Using Support Vector Machines", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 2-4.

    18. F. Abut, M. F. Akay, B. Sow and J. George, "Support Vector Machines for Prediction of Endurance Times Involving Isometric Side Bridge Exercise Test", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 7-9.

    17. F. Abut, M. F. Akay and J. George, "Data-driven Prediction of VO2max based on Maximal and Submaximal Variables Using Support Vector Machines Combined with Feature Selection", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 10-11.

    16. F. Abut and M.F. Akay, "Machine Learning and Statistical Methods for Prediction of Maximal Oxygen Uptake: Recent Advances", Medical Devices: Evidence and Research, 2015 (accepted for publication)

    15. M.F. Akay, F. Abut, M. Ozciloglu and D. Heil, “Identifying the Discriminative Predictors of Upper Body Power of Cross-Country Skiers Using Support Vector Machines Combined with Feature Selection”, Neural Computing and Applications, 2015, DOI: 10.1007/s00521-015-1986-9.

    14. F. Abut ve M.F. Akay, "Kros Kayakçılarda Maksimum Oksijen Tüketimine Etki Eden Değişkenlerin Makine Öğrenme ve Nitelik Seçme Algoritmalarıyla Belirlenmesi", IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, 16-19 Mayıs 2015, Malatya, Türkiye, pp. 60-63.

    13. F. Abut, M.F. Akay, I. Turhan and G. Ozsert, "Performance Evaluation of Different Classifiers for Predicting the Admission Decision of a Candidate to the School of Physical Education and Sports at Cukurova University", 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 178-184, ISBN:978-975-561-463-2.

    12. M. Ozciloglu, F. Abut and M. F. Akay, “ Feature selection for prediction of upper body power of cross-country skiers using different machine learning methods”, 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 82-89, ISBN:978-975-561-463-2.

    11. F. Abut, M. F. Akay, I. Yildiz and J. D. George, “Performance comparison of different machine learning methods for prediction of maximal oxygen uptake from submaximal data”, 8th Engineering and Technology Symposium, Ankara, 14-15 May 2015, pp. 367-370.

    10. M. F. Akay, F. Abut, C.I. Aci and I. Yildiz, “Predicting the processor and channel utilization of a 2-dimensional multiprocessor architecture by using support vector regression combined with feature selection”, 8th Engineering and Technology Symposium, Ankara, 14-15 May 2015, pp. 395-399.

    9. S. Daneshvar, F. Abut, İ. Yıldız ve M.F. Akay, "Farklı Makine Öğrenme Yöntemleri ile Kros Kayakçılar için Yeni Üst Vücut Gücü Tahmin Modellerinin Geliştirilmesi", IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, 16-19 Mayıs 2015, Malatya, Türkiye, pp. 164-167.

    8. F. Abut, E. Genc, M.F. Akay and J.D. George, “Investigating the Effects of Body Mass Index and Location Variables on the Prediction of Maximal Oxygen Uptake Using Support Vector Machines”, 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 56-61, ISBN:978-975-561-463-2.

    7. F. Abut, M.F. Akay and J.D. George, “ Development of New Hybrid Models for Prediction of Maximum Oxygen Uptake Using Machine Learning Methods Combined with Feature Selection”, 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 163-170, ISBN:978-975-561-463-2.

    6. M.F. Akay, F. Abut, S. Daneshvar and D. Heil, “Prediction of upper body power of cross-country skiers using support vector machines”, The Arabian Journal for Science and Engineering, vol. 40, no. 4, pp. 1045 – 1055, April 2015.

    5. M.F. Akay, C.I. Acı and F. Abut, “Predicting the performance measures of a 2-dimensional message passing multiprocessor architecture by using machine learning methods”, Neural Network World, vol. 25, no. 3, pp. 241-265, March 2015.

    4. M.F. Akay, F. Abut, T.E. Sanli and D. Heil, “Investigating the Effects of Maximum Oxygen Uptake and Maximum Heart Rate Variables on the Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 8-9.

    3. M.F. Akay, F. Abut and J. George, “Using Support Vector Machines to Predict Maximal Oxygen Uptake with the Help of Questionnaire Variables”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 5-6.

    2. M.F. Akay, F. Abut, S. Daneshvar and D. Heil, “Prediction of Maximal Oxygen Uptake of Cross-Country Skiers Using Different Regression Methods”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 17-18

    1. M. Acikkar, M.F. Akay, F. Abut and Ö. Isoglu, “Predicting the Admission Decision of a Candidate to the School of Physical Education and Sports at Cukurova University by Using Multilayer Perceptron Combined with Feature Selection”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 15-16.

     

    		  

    Derman Akgöl (MSc, June 2016)

    Current position:

    Research Assistant at Computer Engineering Department, Osmaniye Korkut Ata University

    Thesis title:

    Development of New Models Using Machine Learning Methods Combined with Different Time Lags for Network Traffic Forecasting

    Publications:

    8. D. Akgöl and M. F. Akay, "Network Traffic Forecasting Using Machine Learning and Statistical Regression Methods Combined with Different Time Lags", 71st International Conference on Artificial Intelligence and Soft Computing (ICAISC-2016), Barcelona, Spain, 18-19 August 2016, pp. 14-18.

    7. D. Akgöl and M. F. Akay, "Performance Comparison of Machine LearningMethods and Different Time Lags for Network Traffic Forecasting", International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Turkey, 19-20 March 2016, pp. 177-183

    6. D. Akgöl, M. F. Akay and Y. Yur, "Performance Comparison of Different Machine Learning Methods for Network Traffic Forecasting", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 12-13.

    5. D. Akgöl, M.F. Akay, "Nitelik Seçme ile Birleştirilmiş Makine Öğrenme Yöntemleri ile Kros Kayakçıların Üst Vücut Gücünün Tahmin Edilmesi", IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, 16-19 Mayıs 2015, Malatya, Türkiye, pp. 52-55.

    4. D. Akgol, M.F. Akay and D. Heil, “Development of New Models for Predicting Upper Body Power of Cross-Country Skiers Using Machine Learning Methods”, 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 33-40, ISBN:978-975-561-463-2.

    3. M.F. Akay, D. Akgöl, E. Aktürk ve J. George, “Destek Vektör Makineleri ve Nitelik Seçici Algoritma Kullanilarak Maksimum Oksijen Tüketimi Tahmin Modellerinin Gelistirilmesi”, ASYU2014: Akilli Sistemlerde Yenilikler ve Uygulamalari, October 2014, Izmir, Türkiye, pp. 21.

    2. M.F. Akay, D. Akgol and J. George, “Support Vector Machines Combined with Feature Selection for Prediction of Maximal Oxygen Uptake”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 3-4.

    1. M.F. Akay, I. Turhan, D. Akgol and D. Heil, “Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines Combined with Feature Selection”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 7.

     

    		  

    Mustafa Mikail Özçiloğlu (PhD, June 2016)

    Current position:

    Engineer at the Office of Information Technologies, Kilis 7 Aralik University

    Thesis title:

    Prediction of Upper Body Power of Cross Country Skiers Using Machine Learning Methods Combined With Feature Selection

    Publications:

    7. M. Özçiloğlu and M. F. Akay, "Predicting the Upper Body Power of Cross Country Skiers Using Support Vector Machines Combined with Correlation-based Feature Subset Selection", Fourth International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2016), North Cyprus, 2-4 Nov 2016, pp. 13-14.

    6. M. F. Akay, E. Çetin, İ. Yarım and M. Özçiloğlu "Development of New Maximum Oxygen Uptake Prediction Models For Turkish College Students Using Support Vector Machines and Submaximal Data", Fourth International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2016), North Cyprus, 2-4 Nov 2016, pp. 19-20.

    5. M. Özçiloğlu, M. F. Akay and D. Heil, "On the Application of Artificial Intelligence and Feature Selection in Sports Science Education and Research: A Case Study", 5th Cyprus International Conference on Educational Research (CYICER-2016), North Cyprus, 1-2 April, 2016.

    4. M. Özçiloğlu and M. F. Akay, "Tree-Based Methods Combined with Feature Selection for Predicting Upper Body Power of Cross Country Skiers", International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Turkey, 19-20 March 2016, pp. 184-190.

    3. M. Özçiloğlu, M. F. Akay and D. Heil, "New Prediction Models for Upper Body Power of Cross-Country Skiers Using Machine Learning Methods with Minimum-Redundancy Maximum-Relevance Feature Selection Algorithm", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 16-17.

    2. M.F. Akay, F. Abut, M. Ozciloglu and D. Heil, “Identifying the Discriminative Predictors of Upper Body Power of Cross-Country Skiers Using Support Vector Machines Combined with Feature Selection”, Neural Computing and Applications, 2015, DOI: 10.1007/s00521-015-1986-9.

    1. M. Ozciloglu, F. Abut and M. F. Akay, “ Feature selection for prediction of upper body power of cross-country skiers using different machine learning methods”, 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 82-89, ISBN:978-975-561-463-2

     

    		  

    Gözde Özsert (MSc, February 2016)

    Current position:

    Research Assistant at Computer Engineering Department, Gaziantep University

    Thesis title:

    Predicting the Admission Decision of a Participant to the School of Physical Education and Sports at Çukurova University by Using Different Machine Learning Methods Combined with Feature Selection

    Publications:

    8. G. Özsert and M. F. Akay, "Investigating the Effect of Predictor Variables on Admission Decision Using Machine Learning Methods Combined with Feature Selection", International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Turkey, 19-20 March 2016, pp. 191-197.

    7. G. Özsert, M. F. Akay and H. Alak, "Development of New Hybrid Admission Decision Prediction Models Using Different Machine Learning Methods Combined with Feature Selection", 5th Cyprus International Conference on Educational Research (CYICER-2016), North Cyprus, 1-2 April, 2016.

    6. F. Abut, M.F. Akay, I. Turhan and G. Ozsert, "Performance Evaluation of Different Classifiers for Predicting the Admission Decision of a Candidate to the School of Physical Education and Sports at Cukurova University", 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 178-184, ISBN:978-975-561-463-2.

    5. G. Özsert, M.F. Akay, "Kros Kayakçıların Maksimum Oksijen Alımı Tahmini İçin Farklı Regresyon Yöntemlerinin Performans Karşılaştırması", IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, 16-19 Mayıs 2015, Malatya, Türkiye, pp. 72-75.

    4. M.F. Akay, G. Özsert, M. Açıkkar ve J. George, “Destek Vektör Makineleri Kullanilarak Submaksimal Verilerden Maksimum Oksijen Tüketiminin Tahmin Edilmesi”, ASYU2014: Akilli Sistemlerde Yenilikler ve Uygulamalari, October 2014, Izmir, Türkiye, pp. 20.

    3. M.F. Akay, F. Tas, G. Ozsert and J. George, “Performance Comparison of Different Regression Methods for Maximal Oxygen Uptake Prediction”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 13-14.

    2. M.F. Akay, G. Ozsert, E. Genc and J. George, “Development of New Non-Exercise Maximal Oxygen Uptake Models by Using Support Vector Machines”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 11-12.

    1. M.F. Akay, G. Ozsert and J. George, “Artificial Neural Network-based Models for Predicting Maximum Oxygen Uptake from Submaximal Data”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 1-2.

     

    		  

    İsmail Turhan (MSc, October 2015)

    Current position:

    System Engineer at Uşak University

    Thesis title:

    Predicting the Admission Decision of a Candidate to the School of Physical Education and Sport at Cukurova University by Using Different Machine Learning Algorithms

    Publications:

    2. F. Abut, M.F. Akay, I. Turhan and G. Ozsert, "Performance Evaluation of Different Classifiers for Predicting the Admission Decision of a Candidate to the School of Physical Education and Sports at Cukurova University", 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 178-184, ISBN:978-975-561-463-2.

    1. M.F. Akay, I. Turhan, D. Akgol and D. Heil, “Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines Combined with Feature Selection”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 7.

     

    		  

    Mustafa Açıkkar (PhD, June 2015)

    Current position:

    Asst. Prof. Dr. at Faculty of Aerospace Engineering, Adana Science and Technology University

    Thesis title:

    Developing VO2max Prediction Models from Non-Exercise, Submaximal and Hybrid Variables Using Machine Learning Methods

    Publications:

    12. M. Açıkkar, M. F. Akay and J. George, "A New Data Reduction Algorithm for Improving the Performance of Support Vector Machines on Maximal Oxygen Uptake Prediction", Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), North Cyprus, 4-6 Nov 2015, pp. 14-15.

    11. M.F. Akay, G. Özsert, M. Açıkkar ve J. George, “Destek Vektör Makineleri Kullanilarak Submaksimal Verilerden Maksimum Oksijen Tüketiminin Tahmin Edilmesi”, ASYU2014: Akilli Sistemlerde Yenilikler ve Uygulamalari, 8-10 Ekim 2014, İzmir, Türkiye, pp. 20

    10. M. Acikkar, M.F. Akay, F. Abut and O. Isoglu, “Predicting the Admission Decision of a Candidate to the School of Physical Education and Sports at Cukurova University by Using Multilayer Perceptron Combined with Feature Selection”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 15-16.

    9. M.F. Akay, M. Guler and M. Acikkar, “Multilayer Perceptron Models for Predicting the Admission Decision of a Candidate to the School of Physical Education and Sports at Cukurova University”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 10

    8. M. Acikkar and M.F. Akay, “A New Approach for Improving the Performance of Support Vector Machines for Maximal Oxygen Uptake Prediction”, First International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2013), North Cyprus, 6-8 November 2013, pp. 28.

    7. E. Aktarla, M.F. Akay, E. Aktürk ve M. Açıkkar, "Egzersiz ve Anket Verileri Kullanarak Yapay Sinir Agi Tabanli VO2max Tahmin Modelleri", 21. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2013, 24-26 Nisan 2013, KKTC.

    6. M. Açıkkar, M.F. Akay, E. Aktürk ve M. Güleç, "Akıllı Regresyon Teknikleri Kullanarak Egzersize Dayalı Olmayan VO2max Tahmini", 21. Sinyal İşleme ve İletişim Uygulamalari Kurultayı, SIU2013, 24-26 Nisan 2013, KKTC.

    5. M. Acikkar, M.F. Akay, J.D. George, M. Delil and E. Akturk, “Artificial neural network models for predicting maximum oxygen uptake from submaxiaml exercise involving walking, jogging or running”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 17-21.

    4. M. Acikkar and M.F. Akay, "Support vector machines for predicting the admission decision of a candidate to the School of Physical Education and Sports at Cukurova University", Expert Systems with Applications, vol. 36, no. 3, part 2, pp. 7228 - 7233, April 2009.

    3. M. Acikkar, M.F. Akay, K. Tuncay Ozgunen, Kadir Aydin and S. Sanli Kurdak, "Support vector machines for aerobic fitness prediction of athletes", Expert Systems with Applications, vol. 36, no. 2, part 2, pp. 3596 - 3602, March 2009.

    2. S. Mendi, M.F. Akay ve M. Açıkkar, "Destek Vektör Makineleri ile Beden Egitimi Ve Spor Yüksekokuluna Giris İçin Basvuran Adayların Başarı Durumlarının Tahmini", Ç.Ü. Müh-Mim. Fak. 30. Yil Sempozyumu, 16-17 Ekim 2008, Adana.

    1. M. Acikkar and M.F. Akay, "Predicting the admission decision of a candidate to the School of Physical Education and Sports at Cukurova University bu using artificial neural networks", EECS'08, 5th International Symposium on Electrical and Computer Systems, Gemikonagi, Cyprus, 27-28 Nov 2008, pp. 215-220.

     

    		  

    Eser Yücel (MSc, November 2014)

    Current position:

    IT System Support Specialist at TEMSA Global

    Thesis title:

    Prediction of Maximum Oxygen Uptake (VO2max) with Submaximal and Questionnaire Variables using Different Regression Methods

    Publications:

    1. E. Yucel, M.F. Akay and E. Akturk, “Investigating the Effect of Questionnaire Variables on the Prediction of Maximal Oxygen Uptake Using Multilayer Perceptron and Multiple Linear Regression”, First International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2013), North Cyprus, 6-8 November 2013, pp. 35.

     

    		  

    Erman Aktürk (MSc, August 2014)

    Current position:

    Software Engineer Specialist at Aktek Bilgi Iletisim Teknolojisi San. Ve Tic. A.S.

    Thesis title:

    Prediction of Maximal Oxygen Uptake Using Machine Learning Methods Combined with Feature Selection

    Publications:

    15. E. Akturk ve M.F. Akay, “Prediction of Maximal Oxygen Uptake Using Multilayer Perceptron Combined with Feature Selection”, 7. Mühendislik ve Teknoloji Sempozyumu, 15-16 Mayis 2014, Ankara, Türkiye, pp. 3-6.

    14. G. Kale, M.F. Akay, E. Aktürk ve A.E. Tunçdemir, "Yapay Sinir Aglari Kullanilarak Egzersiz ve Egzersize Dayali Olmayan Verilerden VO2max Tahmini", 21. Sinyal Isleme ve Iletisim Uygulamalari Kurultayi, SIU2013, 24-26 Nisan 2013, KKTC.

    13. M.F. Akay, E. Aktürk ve H. Kilitçioğlu, "VO2max Tahmini Için Farkli Regresyon Yöntemlerinin Performans Karsilastirmasi", 21. Sinyal Isleme ve Iletisim Uygulamalari Kurultayi, SIU2013, 24-26 Nisan 2013, KKTC.

    12. M.F. Akay, E. Aktürk ve A. Balokçı, "Yapay Sinir Agi Kullanarak Submaksimal Egzersiz Testinden VO2max Tahmini", 21. Sinyal Isleme ve Iletisim Uygulamalari Kurultayi, SIU2013, 24-26 Nisan 2013, KKTC.

    11. E. Aktarla, M.F. Akay, E. Aktürk ve M. Açıkkar, "Egzersiz ve Anket Verileri Kullanarak Yapay Sinir Agi Tabanli VO2max Tahmin Modelleri", 21. Sinyal Isleme ve Iletisim Uygulamalari Kurultayi, SIU2013, 24-26 Nisan 2013, KKTC.

    10. M. Acikkar, M.F. Akay, E. Aktürk ve M. Güleç, "Akilli Regresyon Teknikleri Kullanarak Egzersize Dayali Olmayan VO2max Tahmini", 21. Sinyal Isleme ve Iletisim Uygulamalari Kurultayi, SIU2013, 24-26 Nisan 2013, KKTC.

    9. E. Akturk and M.F. Akay, “Prediction of Maximal Oxygen Uptake Using Multilayer Perceptron and Multiple Linear Regression Combined with Feature Selection”, First International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2013), North Cyprus, 6-8 November 2013, pp. 29.

    8. E. Yücel, M.F. Akay and E. Akturk, “Prediction of Maximal Oxygen Uptake Using Multilayer Perceptron and Multiple Linear Regression Combined with Feature Selection”, First International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2013), North Cyprus, 6-8 November 2013.

    7. M.F. Akay, N.S. Ghahremanlou, E. Akturk, J.D. George and E. Aktarla, “Performance comparison of different regression methods for VO2max prediction”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 7-11.

    6. M.F. Akay, E. Akturk and J.D. George, “Artificial neural network models for predicting VO2max from exercise and non-exercise data”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 2-6.

    5. M. Acikkar, M.F. Akay, J.D. George, M. Delil and E. Akturk, “Artificial neural network models for predicting maximum oxygen uptake from submaxiaml exercise involving walking, jogging or running”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 17-21.

    4. N.S. Ghahremanlou, M.F. Akay, E. Akturk, J.D. George and S. Daneshvar, “Artificial neural networks for developing new maximal oxygen uptake prediction models”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 12-16.

    3. M.F. Akay, E. Ismail Mohommoud Zayid, E. Akturk and James D. George, "Artificial neural network-based model for predicting VO2max from a submaximal exercise test", Expert Systems with Applications, vol. 37, no. 9, pp. 6293 - 6301, March 2011.

    2. M.F. Akay, N. Shokrollahi, E. Akturk and J.D. George, “Development of new VO2max prediction models by using artificial neural networks”, 2nd International Symposium on Computing in Science and Engineering, Kusadasi, Turkey, 1-4 June 2011, pp. 39-44.

    1. M.F. Akay, E.I.M. Zayid, E. Akturk, G. Kale and J.D. George, “Artificial neural network-based model for predicting VO2max from a hybrid exercise test”, EECS'10, 6th International Symposium on Electrical and Computer Systems, Gemikonagi, Cyprus, 25-26 Nov 2010, pp. 16-20.

     

    		  

    Çigdem İnan Acı (MSc, August 2009; PhD, August 2013)

    Current position:

    Asst. Prof. Dr. at Computer Engineering Department, Mersin University

    MSc Thesis title:

    A new congestion control algorithm for improving the performance of a broadcast-based multiprocessor architecture

    PhD Thesis title:

    Development of New Congestion Control Algorithms for Broadcast-based Multiprocessor Architectures with Multiple Input Queues

    Publications:

    10. M. F. Akay, F. Abut, C.I. Aci and I. Yildiz, “Predicting the processor and channel utilization of a 2-dimensional multiprocessor architecture by using support vector regression combined with feature selection”, 8th Engineering and Technology Symposium, Ankara, 14-15 May 2015, pp. 395-399.

    9. C.I. Aci and M.F. Akay, “A hybrid congestion control algorithm for broadcast-based architectures with multiple input queues”, Journal of Supercomputing, vol. 71, no. 5, pp. 1907-1931, May 2015.

    8. M.F. Akay, C.I. Acı and F. Abut, “Predicting the performance measures of a 2-dimensional message passing multiprocessor architecture by using machine learning methods”, Neural Network World, vol. 25, no. 3, pp. 241-265, March 2015.

    7. C.I. Aci and M.F. Akay, “A Congestion Control Algorithm with Intermediate Node Selection Procedure For Performance Improvement of a 2-Dimensional Broadcast-Based Multiprocessor Architecture”, Proceedings of the Fourth International Conference on Mathematical and Computational Applications, June 11-13, 2013. Manisa, Turkey, pp.186-196.

    6. C.I. Aci and M.F. Akay, “Improving the performance of a 2-Dimensional broadcast-based multiprocessor architecture using congestion control algorithm", 9th International Conference on Electronics, Computer and Computation (ICECCO 2012), pp. 163-165, November 1-3 2012, ISBN:978-605-87394-6-8.

    5. C.I. Aci and M.F. Akay, "A New Congestion Control Algorithm for Improving the Performance of a Broadcast-based Multiprocessor Architecture", Journal of Parallel and Distributed Computing, vol. 70, no. 9, pp. 930 - 940, September 2010.

    4. M.F. Akay, C.I. Aci, D.I. Bradshaw and J.D. George, "Support vector regression and multilayer feed forward neural networks for non-exercise prediction of VO2max", Expert Systems with Applications, vol. 36, no. 6, pp. 10112 - 10119, August 2009.

    3. Ç.İ. Acı, M.F.Akay,"SOME-Bus Mimarisi Üzerinde Mesaj Geçisi Protokolünün Basarimini Arttirmaya Yönelik Bir Algoritma", I. Ulusal Yüksek Basarim ve Grid Konferansi, 15-18 Nisan 2009, ODTÜ KKM,Ankara, ISBN:978-975-403-500-1, pp:147-154.

    2. Ç.İ. Acı ve M.F. Akay, "Genellestirilmis Regresyon Aglari Kullanarak Egzersize Dayali Olmayan VO2max Tahmini", Ç.Ü. Müh-Mim. Fak. 30. Yil Sempozyumu, 16-17 Ekim 2008, Adana.

    1. C.I. Aci, M.F. Akay, D. Bradshaw and J.D. George, "Multilayer Feed Forward Neural Network Models for Non-Exercise Prediction of VO2max", ECS'08, 5th International Symposium on Electrical and Computer Systems, Gemikonagi, Cyprus, 27-28 Nov 2008, pp. 127-132.

     

    		  

    İpek Abasıkeleş-Turgut (MSc, August 2009; PhD, June 2013)

    Current position:

    Asst. Prof. Dr. at Computer Engineering Department, Iskenderun Technical University

    MSc Thesis title:

    Performance evaluation of directory-based cache coherence protocols on an optical interconnection network supporting distributed shared memory

    PhD Thesis title:

    Performance Improvement of the Two Dimensional Broadcast-based Distributed Shared Memory Multiprocessor Systems by Message Operations

    Publications:

    9. I. Abasikeles and M.F. Akay, “Using message combining and priority for mproving the performance of distributed shared memory multiprocessor systems”, Proceedings of the Fourth International Conference on Mathematical and Computational Applications, June 11-13, 2013. Manisa, Turkey, pp.212-220.

    8. I. Abasikeles, M.F. Akay, “Performance improvement of the two dimensional broadcast-based distributed shared memory multiprocessor systems”, 9th International Conference on Electronics,Computer and Computation (ICECCO 2012), pp. 149-152, November 1-3 2012, ISBN:978-605-87394-6-8, Ankara, TURKEY.

    7. M.F. Akay and I. Abasikeles, "Predicting the performance measures of an optical distributed shared memory multiprocessor by using support vector regression", Expert Systems with Applications, vol. 37, no. 9, pp. 6293 - 6301, September 2010.

    6. M.F. Akay, I. Abasikeles and M. Oral, "Application of self organizing maps for investigating network latency on a broadcast-based distributed shared memory multiprocessor", Expert Systems with Applications, vol. 37, no. 4, pp. 2937 - 2942, April 2010.

    5. I. Abasikeles and M.F. Akay, "Performance evaluation of directory protocols on an optical broadcast-based distributed shared memory multiprocessor", Computers & Electrical Engineering, vol. 36, no. 1, pp. 114 - 131, January 2010.

    4. I. Abasıkeleş, M.F. Akay, "Dagitik Ortak Hafizali Çoklu Mikroislemcilere Sahip Optik Tabanli Mimari Üzerinde Dizin Protokollerinin Basarim Çözümlemesi", I. Ulusal Yüksek Basarim ve Grid Konferansi, 15-18 Nisan 2009, ODTÜ KKM,Ankara, ISBN:978-975-403-500-1, pp:31-42

    3. I. Abasikeles and M.F. Akay, "Performance Evaluation of Directory Protocols on an Optical Interconnection Network Supporting Distributed Shared Memory", EECS'08, 5th International Symposium on Electrical and Computer Systems, Gemikonagi, Cyprus, 27-28 Nov 2008, pp. 107-113.

    2. I. Abasıkeleş ve M.F. Akay, "Some-Bus Mimarisi Üzerinde Iki Farkli Dizin Protokolünün Performans Analizi", Ç.Ü. Müh-Mim. Fak. 30. Yil Sempozyumu, 16-17 Ekim 2008, Adana.

    1. I. Abasikeles and M.F. Akay, "Performance Evaluation of Different Directory Protocols on the Simultaneous Optical Multiprocessor Exchange Bus", OPNETWORK 2008, Washington DC, USA, 25-29 August 2007.

     

    		  

    Noushin Shokrollahi Ghahremanlou (MSc, February 2012)

    Current position:

    Software Engineer at Unix Computer

    Thesis title:

    Prediction of Maximum Oxygen Uptake from Maximal and Non-Exercise Variables Using Machine Learning Methods

    Publications:

    3. M.F. Akay, N.S. Ghahremanlou, E. Akturk, J.D. George and E. Aktarla, “Performance comparison of different regression methods for VO2max prediction”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 7-11.

    2. N.S. Ghahremanlou, M.F. Akay, E. Akturk, J.D. George and S. Daneshvar, “Artificial neural networks for developing new maximal oxygen uptake prediction models”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012.

    1. M.F. Akay, N. Shokrollahi, E. Akturk and J.D. George, “Development of new VO2max prediction models by using artificial neural networks”, 2nd International Symposium on Computing in Science and Engineering, Kusadasi, Turkey, 1-4 June 2011, pp. 39-44.

     

    		  

    Gülsade Kale (MSc, November 2012)

    Current position:

    Instructor at Informatics Department, Kilis 7 Aralik University

    Thesis title:

    Investigation of the Effect of Message Combining Mechanism on the 2D SOME-Bus Architecture

    Publications:

    3. G. Kale, M.F. Akay, E. Aktürk ve A.E. Tunçdemir, "Yapay Sinir Agları Kullanılarak Egzersiz ve Egzersize Dayalı Olmayan Verilerden VO2max Tahmini", 21. Sinyal Isleme ve Iletisim Uygulamalari Kurultayi, SIU2013, 24-26 Nisan 2013, KKTC.

    2. G. Kale and M.F. Akay, “Improving the performance of a 2D multiprocessor architecture using message combining under client-server traffic model”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 66-71.

    1. M.F. Akay, E.I.M. Zayid, E. Aktürk, G. Kale and J.D. George, “Artificial neural network-based model for predicting VO2max from a hybrid exercise test”, EECS'10, 6th International Symposium on Electrical and Computer Systems, Gemikonagi, Cyprus, 25-26 Nov 2010, pp. 16-20.

     

    		  

    Elrasheed Ismail M. Zayid (PhD, December 2012)

    Current position:

    Asst. Prof. Dr. at Computer Engineering Department, University of Elimam Elmahdi

    Thesis title:

    Predicting Performance Measures of a Multiprocessor Architecture by Using Machine Learning Methods

    Publications:

    10. E. I. M. Zayid and M. F. Akay, "Clustering Algorithms on the Performance Measures for a Message Passing Multiprocessor Architecture", Fourth International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2016), North Cyprus, 2-4 Nov 2016.

    9. E. I. M. Zayid and M. F. Akay, "Multilayer Feed-Forward Neural Networks for Predicting the Average Network Latency of a 2-Dimensional Distributed Shared Memory Multiprocessor", International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Turkey, 19-20 March 2016, pp. 50.

    8. E.I.M. Zayid and M.F. Akay, “High performance message passing over a parallel multiprocessor architecture”, 8th Engineering and Technology Symposium, Ankara, 14-15 May 2015, pp. 383-388.

    7. M.F. Akay, E.I.M. Zayid, “ Performance Comparison of Different Regression Methods for Predicting the Performance Measures of a Multiprocessor Architecture”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 19-20.

    6. E. I.M. Zayid and M.F. Akay, "Predicting the performance measures of a message passing multiprocessor architecture by using artificial neural networks", Neural Computing and Applications, Volume 23, Issue 7, Page 2481-2491, December 2013.

    5. E.I.M. Zayid and M.F. Akay, “Reliable Attributes Selection Technique for Predicting the Performance Measures of a DSM Multiprocessor Architecture”, International Conference in Computing, Electronics and Electrical Engineering 2013 (ICCEEE2013), Khartoum, Sudan, 26-28 August 2013, pp. 209-215.

    4. E.I.M. Zayid and M.F. Akay, “Multilayer feed forward neural network models for predicting the performance measures of a message passing multiprocessor architecture”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 22-27.

    3. M.F. Akay and E.I.M. Zayid, “Predicting the performance measures of a message passing multiprocessor architecture by using artificial neural networks”, 2nd International Symposium on Computing in Science and Engineering, Kusadasi, Turkey, 1-4 June 2011, pp. 53-58.

    2. M.F. Akay, E. Ismail Mohommoud Zayid, E. Akturk and James D. George, "Artificial neural network-based model for predicting VO2max from a submaximal exercise test", Expert Systems with Applications, vol. 37, no. 9, pp. 6293 - 6301, March 2011.

    1. M.F. Akay, E.I.M. Zayid, E. Akturk, G. Kale and J.D. George, “Artificial neural network-based model for predicting VO2max from a hybrid exercise test”, EECS'10, 6th International Symposium on Electrical and Computer Systems, Gemikonagi, Cyprus, 25-26 Nov 2010, pp. 16-20.

  • Mesut DALKILIÇ (MSc student)

     

    		  

    Ömer Faruk Dinçer (MSc student)

    Publications:

    1. Ö. F. Dinçer, M. F. Akay, E. Çetin, İ. Yarım and S. Daneshvar, "New Prediction Equations for Estimating the Maximal Oxygen Consumption of College-aged Students Using Hybrid Data", 1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Turkey, 26-28 October 2016.

     

    		  

    Hacer Alak

    BSc Graduate from the Mathematics and Computer Science Department, Çag University

    Publications:

    3. B. Sow, M. F. Akay, F. Abut, E. Çetin, İ. Yarım and H. Alak, "New Regression Models for Predicting the Hamstring Muscle Strength Using Support Vector Machines", 1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Turkey, 26-28 October 2016.

    2. H. Alak, M. F. Akay and J. D. George, "Predicting the Muscular Endurance Time Using Gene Expression Programming", 1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Turkey, 26-28 October 2016.

    1. G. Özsert, M. F. Akay and H. Alak, "Development of New Hybrid Admission Decision Prediction Models Using Different Machine Learning Methods Combined with Feature Selection", 5th Cyprus International Conference on Educational Research (CYICER-2016), North Cyprus, 1-2 April, 2016.

     

    		  

    Kıymet Kaya

    Current position:

    Research Assistant at Information Systems Engineering Department of Recep Tayyip Erdoğan University

    Publications:

    2. M. F. Akay, E. Çetin, İ. Yarım, F. Abut and K. Kaya, "New Regression Equations for Estimating the Maximal Oxygen Uptake of College of Physical Education and Sports Students in Turkey", 5th Cyprus International Conference on Educational Research (CYICER-2016), North Cyprus, 1-2 April, 2016.

    1. K. Kaya, M. F. Akay, E. Çetin and İ. Yarım, "Development of New Prediction Models for Maximal Oxygen Uptake Using Artificial Intelligence Methods", International Conference on Natural Science andEngineering (ICNASE’16), Kilis, Turkey, 19-20 March 2016, pp. 988-986.

     

    		  

    Esin Genç

    Publications:

    3. E. Genç, M.F. Akay, "Farklı Makine Öğrenme Yöntemleri Kullanarak Egzersize Dayalı Olmayan Yeni Maksimum Oksijen Tüketim Tahmin Modellerinin Geliştirilmesi", IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, 16-19 Mayıs 2015, Malatya, Türkiye, pp. 100-103.

    2. F. Abut, E. Genc, M.F. Akay and J.D. George, “Investigating the Effects of Body Mass Index and Location Variables on the Prediction of Maximal Oxygen Uptake Using Support Vector Machines”, 1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015, pp. 54-61, ISBN:978-975-561-463-2.

    1. M.F. Akay, G. Ozsert, E. Genc and J. George, “Development of New Non-Exercise Maximal Oxygen Uptake Models by Using Support Vector Machines”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 11-12.

     

    		  

    İncilay Yıldız

    BSc Graduate from the Computer Information Systems Department, European University of Lefke

    Publications:

    4. F. Abut, M. F. Akay, I. Yildiz and J. D. George, “Performance comparison of different machine learning methods for prediction of maximal oxygen uptake from submaximal data”, 8th Engineering and Technology Symposium, Ankara, 14-15 May 2015, pp. 367-370.

    3. M. F. Akay, F. Abut, C.I. Aci and I. Yildiz, “Predicting the processor and channel utilization of a 2-dimensional multiprocessor architecture by using support vector regression combined with feature selection”, 8th Engineering and Technology Symposium, Ankara, 14-15 May 2015, pp. 395-399.

    2. İ. Yıldız, M.F. Akay, "Submaksimal Veriler Kullanılarak Farkı Makine Ögrenme Yöntemleri İle Maksimum Oksijen Tüketiminin Tahmin Edilmesi", IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, 16-19 Mayıs 2015, Malatya, Türkiye, pp. 88-91.

    1. S. Daneshvar, F. Abut, İ. Yıldız, M.F. Akay, "Farklı Makine Öğrenme Yöntemleri ile Kros Kayakçılar için Yeni Üst Vücut Gücü Tahmin Modellerinin Geliştirilmesi", IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, 16-19 Mayıs 2015, Malatya, Türkiye, pp. 164-167.

     

    		  

    Metin Güler

    BSc Graduate from the Computer Engineering Department, Cukurova University

    Publications:

    1. M.F. Akay, M. Guler and M. Acikkar, “Multilayer Perceptron Models for Predicting the Admission Decision of a Candidate to the School of Physical Educatio and Sports at Cukurova University”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 10.

     

    		  

    Tahir Ersan Şanlı

    BSc Graduate from the Computer Engineering Department, Cukurova University

    Current position:

    Software Engineer at 2 Adam Software & Technology

    Publications:

    1. M.F. Akay, F. Abut, T.E. Sanli and D. Heil, “Investigating the Effects of Maximum Oxygen Uptake and Maximum Heart Rate Variables on the Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines”, Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5-7 Nov 2014, pp. 8-9.

     

    		  

     

    		  

    Ali Erce Tunçdemir

    BSc Graduate from the Mathematics and Computer Science Department, Çag University

    Current position:

    Corporate Customer Relations Manager at Turkcell

    Publications:

    1. G. Kale, M.F. Akay, E. Aktürk ve A.E. Tunçdemir, "Yapay Sinir Ağları Kullanılarak Egzersiz ve Egzersize Dayalı Olmayan Verilerden VO2max Tahmini", 21. Sinyal Isleme ve Iletisim Uygulamalari Kurultayi, SIU2013, 24-26 Nisan 2013, KKTC.

     

    		  

    Ece Aktarla

    BSc Graduate from the Mathematics and Computer Science Department, Çag University

    Current position:

    Pay Desk Officer at Akbank

    Publications:

    2. M.F. Akay, N.S. Ghahremanlou, E. Akturk, J.D. George and E. Aktarla, “Performance comparison of different regression methods for VO2max prediction”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 7-11.

    1. E. Aktarla, M.F. Akay, E. Aktürk ve M. Açıkkar, "Egzersiz ve Anket Verileri Kullanarak Yapay Sinir Ağı Tabanlı VO2max Tahmin Modelleri", 21. Sinyal Isleme ve Iletisim Uygulamalari Kurultayi, SIU2013, 24-26 Nisan 2013, KKTC.

     

    		  

    Müjde Delil

    BSc Graduate from the Mathematics and Computer Science Department, Çag University

    Current position:

    Logistics Operations Manager at ACT TRANSPORTATION & TRADE INC.

    Publications:

    M. Acikkar, M.F. Akay, J.D. George, M. Delil and E. Akturk, “Artificial neural network models for predicting maximum oxygen uptake from submaxiaml exercise involving walking, jogging or running”, EEECS’12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 17-21.

     

    		  

    Hasan Kilitçioğlu

    BSc Graduate from the Mathematics and Computer Science Department, Çag University

    Publications:

    1. M.F. Akay, E. Aktürk ve H. Kilitçioğlu, "VO2max Tahmini İçin Farkli Regresyon Yöntemlerinin Performans Karşılaştırması", 21. Sinyal Isleme ve Iletisim Uygulamalari Kurultayi, SIU2013, 24-26 Nisan 2013, KKTC.

     

    		  

    Salih Mendi

    BSc Graduate from the Electrical and Electronics Engineering Department, Cukurova University

    Current position:

    Field Service Engineer at Philips Healthcare

    Publications:

    1. S. Mendi, M.F. Akay ve M. Açıkkar, "DESTEK VEKTÖR MAKINELERI ILE BEDEN EGITIMI VE SPOR YÜKSEKOKULUNA GIRIS IÇIN BASVURAN ADAYLARIN BASARI DURUMLARININ TAHMINI", Ç.Ü. Müh-Mim. Fak. 30. Yil Sempozyumu, 16-17 Ekim 2008, Adana

     

    		  

    Aynur Balıkçı

    BSc Student at Computer Engineering Department, Cukurova University

    Publications:

    1. M.F. Akay, E. Aktürk ve A. Balıkçı, "Yapay Sinir Agi Kullanarak Submaksimal Egzersiz Testinden VO2max Tahmini", 21. Sinyal Isleme ve Iletisim Uygulamalari Kurultayi, SIU2013, 24-26 Nisan 2013, KKTC.

     

    		  

    Merve Güleç

    BSc Graduate from the Computer Engineering Department, Cukurova University

    Publications:

    1. M. Açıkkar, M.F. Akay, E. Aktürk ve M. Güleç, "Akıllı Regresyon Teknikleri Kullanarak Egzersize Dayalı Olmayan VO2max Tahmini", 21. Sinyal İsleme ve İletisim Uygulamaları Kurultayı, SIU2013, 24-26 Nisan 2013, KKTC.

Graduate Courses

  • CENG533 Random Variables and Processes for Computer Engineering
  • CENG535 Internet Architecture and Protocols
  • CENG544 Multiprocessor Architectures
  • CENG546 Advanced Computer Networks
  • CENG010 Advanced Topics in Computer Networks
  • CENG011 Wireless Networks and Security

Undergraduate Courses

  • BIL151 Introduction to Computer Engineering
  • BIL282 Probability and Statistics
  • BIL305 Computer Networks I
  • BIL322 Computer Networks II

Honors and Awards

  • Top 100 Educators Award by International Biographical Centre, Cambridge, England (25th Feb. 2011)
  • 2000 Outstanding Intellectuals of the 21st Century Award by International Biographical Centre, Cambridge, England (4th Feb. 2011)
  • Who is Who in the World 2011 (28th Edition) by Marquis Who's Who, New Jersey, USA (2011)
  • Leadership Award at International House of Philadelphia (May 2005)
  • Certificate of Appreciation at International House of Philadelphia (May 2004)
  • 4-year Full Scholarship from the Turkish Council of Higher Education to pursue PhD education in US (June 2001 - Sep. 2005)
  • President’s Award, by CU, ranked 1st among BSc students of Dept. of Electrical and Electronics Engineering (June 1999)
  • President’s Award, by CU, ranked 2nd among BSc students of College of Engineering and Architecture (June 1999)
  • 2nd highest degree, Siemens Creative Thought Project Competition with “Design of a Data Collecting and Processing Unit” (1999)
  • 3rd highest degree, Rotary Club Creative Thought Project Competition with “Parallel Communication Between Two Computers” (1998)

October 26, 2016

  • M. Fatih Akay, Mikail Özçiloğlu and Shahaboddin Daneshvar attended the 4th International Symposium on Engineering Artificial Intelligence and Applications (ISEAIA2016), Cyprus.


October 26, 2016

  • M. Fatih Akay, Hacer Alak and Shahaboddin Daneshvar attended the 1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Turkey.


August 18, 2016

  • Yasin Yur attended the 71st International Conference on Artificial Intelligence and Soft Computing (ICAISC-2016), Barcelona, Spain.


June 27, 2016

  • Derman Akgöl successfully defended her MSc thesis entitled "Development of New Models Using Machine Learning Methods Combined with Different Time Lags for Network Traffic Forecasting".


June 22, 2016

  • Mustafa Mikail Özçiloğlu successfully defended his PhD thesis entitled "Prediction of Upper Body Cross Country Skiers Using Machine Learning Methods Combined With Feature Selection".


March 31, 2016

  • M. Fatih Akay, Mikail Özçiloğlu, Kıymet Kaya and Hacer Alak attended the 5th Cyprus International Conference on Educational Research (CY-ICER 2016), Kyrenia, Cyprus.


March 19-20, 2016

  • Fatih Abut, Mikail Özçiloğlu, Derman Akgöl, Kıymet Kaya and Gözde Özsert attended the International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Turkey.


February 26, 2016

  • Gözde Özsert successfully defended her MSc thesis entitled "Predicting the Amission decision of a participant to the school of physical education and sports at Çukurova University by using different machine learning methods combined with feature selection"..


November 4-6, 2015

  • M.Fatih Akay, Mustafa Açıkkar, Fatih Abut, Mikail Özçiloğlu, Boubacar Sow and Yasin Yur attended the 3rd International Symposium on Engineering Artificial Intelligence and Applications (ISEAIA2015), Cyprus.


October 27, 2015

  • İsmail Turhan successfully defended his MSc thesis entitled "Predicting the Admission Decision of a Candidate to the School of Physical Education and Sport at Cukurova University by Using Different Machine Learning Algorithms".


June 9, 2015

  • Mustafa Açıkkar successfully defended his PhD thesis entitled "Developing VO2max Prediction Models from Non-Exercise, Submaximal and Hybrid Variables Using Machine Learning Methods".


May 14-15, 2015

May 16-19, 2015



May 14-15, 2015

May 10-13, 2015



November 4-8, 2014




October 9-10, 2014

Contact info

  • Assoc. Prof. Dr. M.F. Akay
  • Dept. of Computer Engineering, Cukurova University, Adana TURKEY 0133
  • mfakay@cu.edu.tr
  • +90-322-3387101 - x16