RESUME
Name & Last name: Mehmet Fatih AKAY
Date of birth: 08.05.1977
Education:
Degree
Program
Electrical and Electronics
Engineering
Electrical and Electronics
Engineering
BSc
MSc
University
Cukurova University
Year
1999
Cukurova University
2001
Electrical and Computer Drexel University
Engineering
PhD
2005
Research Interests:
-
Applications of Machine Learning Methods


Predicting Maximal Oxygen Uptake Using Different Regression 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


-
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

Title of the MSc thesis:
Resonance Characteristics of Whispering Gallery Modes in Dielectric Resonators for
Microwave Measurement Applications (Advisor: Prof.Dr. Sergey Kharkovsky)
Title of the PhD thesis::
Contention resolution and memory load balancing algorithms on distributed shared
memory multiprocessors (Advisor: Assoc.Prof.Dr. Constantine Katsinis)
Academic titles:
Title
Research
Assistant
Dr.
Asst.Prof.Dr.
Assoc.Prof.Dr.
University / Department
Years
Cukurova University / Electrical and Electronics Engineering Dept.
1999-2005
Cukurova University / Electrical and Electronics Engineering Dept.
Cukurova University / Computer Engineering Dept.
Cukurova University / Computer Engineering Dept.
2005-2007
2007-2013
2013-
Administrative Duties
Vice-chair of Department of Computer Engineering, Cukurova University (2007 - 2013)
Supervised MSc Theses:
1. Çiğdem Acı, “A new congestion control algorithm for improving the performance of a
broadcast-based multiprocessor architecture”, August 2009
2. İpek Abasıkeleş, “Performance evaluation of directory-based cache coherence
protocols on an optical interconnection network supporting distributed shared
memory”, August 2009
3. Noushin Shokrollahi Ghahremanlou, “Prediction of maximum oxygen uptake from
maximal and non-exercise variables using machine learning methods”, March 2012
4. Gülsade Kale, “Investigation of the Effect of Message Combining Mechanism on the 2D
SOME-Bus Architecture”, November 2012
5. Shahaboddin Daneshvar, “Prediction of Upper Body Power of Cross-country Skiers
Using Different Regression Methods”, August 2014
6. Erman Aktürk, “Prediction of Maximal Oxygen Uptake Using Machine Learning Methods
Combined with Feature Selection”, August 2014
7. Eser Yücel, “Prediction of Maximum Oxygen Uptake (VO2max) with Submaximal and
Questionnaire Variables using Different Regression Methods”, November 2014
Supervised PhD Theses:
1. Elrasheed Ismail M. Zayid, “Predicting Performance Measures of a Multiprocessor
Architecture by Using Machine Learning Methods”, December 2012
2. İpek Abasıkeleş, “Performance Improvement of the Two Dimensional Broadcastbased Distributed Shared Memory Multiprocessor Systems by Message
Operations”, June 2013
3. Çiğdem İnan Acı, “Development of New Congestion Control Algorithms for
Broadcast-based Multiprocessor Architectures with Multiple Input Queues”, July
2013
Projects :
1. Principal Investigator – “MMF2007BAP15 Performance improvement of paralel
programs on distributed shared memory multiprocessor systems”, Cukurova
University Scientific Projects Center (09.08.2007-09.08.2008)
2. Principal Investigator – “MMF2008BAP3 Investigation of the performance of
three directory protocols on distributed shared memory SOME-Bus architecture”,
Cukurova University Scientific Projects Center (17.04.2008-17.10.2009)
3. Principal Investigator – “MMF2009BAP10 Predicting the performance measures
of distributed shared memory multiprocessor systems”, Cukurova University
Scientific Projects Center (10.12.2009-10.02.2011)
4. Principal Investigator - "MMF2010BAP16 Development of new congestion
control algorithms for improving the performance of optical broadcast-based
multiprocessor architectures ", Cukurova University Scientific Projects Center
(27.12.2010 - 27.05.2012)
5. Supervisor - "Mobile cold sell and distribution system ", KOSGEB Research,
Innovation and Industrial Application Grant Program (22.03.2011 - 22.03.2012)
6. Supervisor - "Web-based content management system", KOSGEB Research,
Innovation and Industrial Application Grant Program (01.05.2011 - 01.05.2012)
7. Supervisor - "Medical imaging and archiving system ", KOSGEB Research,
Innovation and Industrial Application Grant Program (01.12.2011 - 01.12.2012)
8. Supervisor – "A web-based automation software for investigating agricultural
products ", KOSGEB Research, Innovation and Industrial Application Grant
Program (01.09.2012 - 01.12.2014).
9. Principal Investigator - "MMF2013BAP20 Development of a web-based software
for prediction of maximal oxygen uptake using artificial neural networks",
Cukurova University Scientific Projects Center (06.11.2013 - 06.11.2014)
Awards :







"TOP100 Educators", International Biographical Centre, Cambridge, UK ( February
2011)
"2000 Outstanding Intellectuals of the 21st Century", International Biographical
Centre, Cambridge, UK (February 2011)
"Who is Who in the World 2011" (28th Edition), Marquis Who's Who, New Jersey,
USA (2011)
"Leadership Award", International House of Philadelphia (May 2005)
"Certificate of Appreciation", International House of Philadelphia (May 2004)
PhD scholarship from Turkish Counsil of Higher Education (2001-2005).
BSc degree with honors.
PUBLICATIONS
A. Journal :
A1. M. Fatih Akay, C.I. Acı and F. Abut, “Predicting the performance measures of a 2dimensional message passing multiprocessor architecture by using machine learning
methods”, Neural Network World, 2015 (accepted for publication).
A2. C.I. Aci and M. Fatih Akay, “A hybrid congestion control algorithm for broadcastbased architectures with multiple input queues”, Journal of Supercomputing, 2015, DOI:
10.1007/s11227-015-1384-1
A3. M. Fatih 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.
A4. E. Ismail Mohommoud Zayid and M. Fatih 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.
A5. M. Fatih Akay, E. Ismail Mohommoud Zayid, E. Aktürk and James D. George,
"Artificial neural network-based model for predicting VO2max from a submaximal exercise
test", Expert Systems with Applications, vol. 38, no. 3, pp. 2007 - 2010, March 2011.
A6. C. Inan Aci and M. Fatih 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
A7. M. Fatih Akay and İ. Abasıkeleş, "Predicting the performance measures of an optical
distributed shared memory multiprocessor by using support vector regression", Expert
Systems with Applications, Expert Systems with Applications, vol. 37, no. 9, pp. 6293 6301, September 2010.
A8. M. Fatih Akay, İ. Abasıkeleş 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.
A9. İ. Abasıkeleş and M. Fatih 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.
A10. M. Fatih Akay, Ç. İnan, 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.
A11. M. Acikkar and M. Fatih 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.
A12. M. Acikkar, M. Fatih Akay, K. Tuncay 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.
A13. M. Fatih 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.
A14. M. Fatih Akay and C. 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.
A15. M. Fatih Akay and C. Katsinis, “Contention resolution on a broadcast-based
distributed shared memory multiprocessor.” IET Computers & Digital Techniques, vol.2,
no.1, pp. 45-55, January 2008
A16. M. Fatih Akay, Y. Prokopenko and S. Kharkovsky, “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
A17. U. Hasar, M. Fatih Akay and S. Kharkovsky, “Determination of complex dielectric
permittivity of loss materials at microwave frequencies,” Mathematical and
Computational Applications, vol. 8, no.3, pp. 319-326, 2003.
A18. S. Kharkovsky, M. Fatih Akay, U. Hasar et al., “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
B1. Genc, F. Abut, 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.
B2. 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.
B3. 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.
B4. M. Fatih Akay, D. Akgöl 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 November 2014.
B5. M. Fatih Akay, F. Abut, T.E. Şanlı 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 November 2014.
B6. M. Fatih 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 November 2014.
B7. M. Fatih 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 November 2014.
B8. M. Fatih Akay, F. Taş, G. Özsert 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 November 2014.
B9. M. Fatih Akay, G. Özsert, E. Genç 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 November 2014.
B10. M. Fatih Akay, G. Özsert 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 November 2014.
B11. M. Fatih Akay, İ. Turhan, D. Akgöl 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 November 2014.
B12. M. Fatih Akay, M. Güler and M. Açıkkar, “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 November 2014.
B13. M. Açıkkar, M. Fatih Akay, F. Abut and Ö. İşoğlu, “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 November 2014.
B14. E. Aktürk and M. Fatih 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.
B16. M. Açıkkar and M. Fatih 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.
B17. E. Yücel, M. Fatih Akay and E. Aktürk, “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.
B18. S. Daneshvar and M. Fatih 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.
B19. E.I.M. Zayid and M. Fatih 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.
B20. Cigdem Inan Aci and Mehmet Fatih Akay, “A Congestion Control Algorithm with
Intermediate Node Selection Procedure For Performance Improvement of a 2Dımensıonal Broadcast-Based Multiprocessor Architecture”, Proceedings of the Fourth
International Conference on Mathematical and Computational Applications, June 1113, 2013. Manisa, Turkey, pp.186-196
B21. İ. Abasıkeleş and Mehmet Fatih 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
B22. Ç.İ. Acı and M. Fatih 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, Ankara,
TURKEY
B23. İ. Abasıkeleş, M. Fatih 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
B24. M. Fatih 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.
B25. E.I.M. Zayid and M. Fatih 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. 2227.
B26. M. Fatih 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.
B27. G. Kale and M. Fatih 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.
B28. M. Acikkar, M. Fatih Akay, J.D. George, M. Delil and E. Akturk, “Artificial neural
network models for predicting maximum oxygen uptake from submaximal exercise
involving walking, jogging or running”, EEECS’12, 7th International Symposium on
Electrical & Electronics Engineering and Computer Systems”, Gemikonagi, Cyprus, 2930 Nov 2012, pp. 17-21.
B29. N.S. Ghahremanlou, M.
“Artificial neural networks
models”, EEECS’12, 7th
Engineering and Computer
16.
Fatih Akay, E. Akturk, J.D. George and S. Daneshvar,
for developing new maximal oxygen uptake prediction
International Symposium on Electrical & Electronics
Systems”, Gemikonagi, Cyprus, 29-30 Nov 2012, pp. 12-
B30. M. Fatih Akay, N. Shokrollahi, E. Aktürk and J.D. George, “Development of new
VO2max prediction models by using artificial neural networks”, 2 nd International
Symposium on Computing in Science and Engineering, Kuşadası, Turkey, 1-4 June
2011, pp. 39-44.
B31. M. Fatih Akay and E.I.M. Zayid, “Predicting the performance measures of a message
passing multiprocessor architecture by using artificial neural networks”, 2 nd
International Symposium on Computing in Science and Engineering, Kuşadası,
Turkey, 1-4 June 2011, pp. 53-58.
B32. M. Fatih 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.
B33. M. Açıkkar and M.F. Akay, "Predicting the admission decision of a candidate to the
School of Physical Education and Sports at Cukurova University by using artificial
neural networks", EECS'08, 5th International Symposium on Electrical and Computer
Systems, Gemikonagi, Cyprus, 27-28 Nov 2008, pp. 215-220.
B34. İ. 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.
B35. C. Inan, 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.
B36. İ. 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 2008, (online proceedings at
http://www.opnet.com/opnetwork2008/).
B37. 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,
(online
proceedings
at
http://www.opnet.com/opnetwork2007/).
B38. 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.
B39. 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, pp. 699-701.
B40. 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.
B41. S. N. Kharkovsky, M. F. Akay, U. C. Hasar and C. D. Atış, “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. 513518.
B42. 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.
B43. S. N. Kharkovsky, C. D. Atış, 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
C. Books :
C1. Ipek Abasikeles, M. Fatih Akay: Performance Improvement Of The 2D Broadcastbased DSM Systems. LAP LAMBERT Academic Publishing, ISBN-13: 978-3-659-46249-8,
ISBN-10: 3659462497, EAN: 9783659462498, 2013.
C2. İ. Abasıkeleş ve M. Fatih Akay, PERFORMANCE EVALUATION OF DIRECTORY-BASED
CACHE COHERENCE PROTOCOLS ON AN OPTICAL INTERCONNECTION NETWORK
SUPPORTING DISTRIBUTED SHARED MEMORY, 72 pp., Almanya, LAP LAMBERT
Academic Publishing, 2011
D. National Conference Proceedings:
E1. M.F. Akay, D. Akgöl, E. Aktürk and J. George, “Destek Vektör Makineleri ve Nitelik
Seçici Algoritma Kullanılarak Maksimum Oksijen Tüketimi Tahmin Modellerinin
Geliştirilmesi”, Akıllı Sistemlerde Yenilikler ve Uygulamaları (ASYU 2014), 9-10 Ekim
2014, İzmir, Türkiye, pp.
E2. M.F. Akay, G. Özsert, M. Açıkkar and J. George, “Destek Vektör Makineleri
Kullanılarak Submaksimal Verilerden Maksimum Oksijen Tüketiminin Tahmin Edilmesi”,
Akıllı Sistemlerde Yenilikler ve Uygulamaları (ASYU 2014), 9-10 Ekim 2014, İzmir,
Türkiye, pp.
E3. E. Aktürk ve M.F. Akay, “Prediction of Maximal Oxygen Uptake Using Multilayer
Perceptron Combined with Feature Selection”, 7. Mühendislik ve Teknoloji Sempozyumu,
15-16 Mayıs 2014, Ankara, Türkiye, pp. 3-6.
E4. M.F. Akay, S. Daneshvar, Ö. İşoğlu ve D. Heil, “Predicting the Upper Body of CrossCountry Skiers Using Support Vector Machines”, 7. Mühendislik ve Teknoloji
Sempozyumu, 15-16 Mayıs 2014, Ankara, Türkiye, pp. 21-24.
E5. 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 Uygulamaları Kurultayı, SİU2013, 24-26 Nisan 2013, KKTC. (doçentlik
başvurusundan sonra)
E6. M.F. Akay, E. Aktürk ve H. Kilitçioğlu, "VO2max Tahmini İçin Farklı Regresyon
Yöntemlerinin Performans Karşılaştırması", 21. Sinyal İşleme ve İletişim Uygulamaları
Kurultayı, SİU2013, 24-26 Nisan 2013, KKTC. (doçentlik başvurusundan sonra)
E7. M.F. Akay, E. Aktürk ve A. Balıkçı, "Yapay Sinir Ağı Kullanarak Submaksimal Egzersiz
Testinden VO2max Tahmini", 21. Sinyal İşleme ve İletişim Uygulamaları Kurultayı,
SİU2013, 24-26 Nisan 2013, KKTC. (doçentlik başvurusundan sonra)
E8. E. Aktarla, M.F. Akay, E. Aktürk ve M. Açıkkar, "Egzersiz ve Anket Verileri Kullanarak
Yapay Sinir Ağı Tabanlı VO2max Tahmin Modelleri", 21. Sinyal İşleme ve İletişim
Uygulamaları Kurultayı, SİU2013, 24-26 Nisan 2013, KKTC. (doçentlik başvurusundan
sonra)
E9. M. Açıkkar, M.F. Akay, E. Aktürk ve M. Güleç, "Akıllı Regresyon Teknikleri Kullanarak
Egzersize Dayalı Olmayan VO2max Tahmini", 21. Sinyal İşleme ve İletişim Uygulamaları
Kurultayı, SİU2013, 24-26 Nisan 2013, KKTC. (doçentlik başvurusundan sonra)
E10. İpek Abasıkeleş, Mehmet Fatih Akay, "Dağıtık Ortak Hafızalı Çoklu Mikroişlemcilere
Sahip Optik Tabanlı Mimari Üzerinde Dizin Protokollerinin Başarım Çözümlemesi", I.
Ulusal Yüksek Başarım ve Grid Konferansı, 15-18 Nisan 2009, ODTÜ KKM,Ankara,
ISBN:978-975-403-500-1, pp. 31-42
E11. Ç.İnan, M.F.Akay,"SOME-Bus Mimarisi Üzerinde Mesaj Geçişi 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.147154
E12. Ç. İnan ve M.F. Akay, "GENELLEŞTİRİLMİŞ REGRESYON AĞLARI KULLANARAK
EGZERSİZE DAYALI OLMAYAN VO2max TAHMİNİ", Ç.Ü. Müh-Mim. Fak. 30. Yıl
Sempozyumu, 16-17 Ekim 2008, Adana, pp. 17-20
E13. İ. Abasıkeleş ve M.F. Akay, "SOME-BUS MİMARİSİ ÜZERİNDE İKİ FARKLI DİZİN
PROTOKOLÜNÜN PERFORMANS ANALİZİ", Ç.Ü. Müh-Mim. Fak. 30. Yıl Sempozyumu, 1617 Ekim 2008, Adana, pp. 45-48.
E14. M. F. Akay, “Internet üzerinden ses transferi için ileri hata düzeltme tekniğinin
performans analizi”, ITUSEM 2007, Adana, Türkiye, pp. 7-9.
F. Other publications :
F1. M. Fatih 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