Dr. Amir  Abolfazl Suratgar
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Dr. Amir Abolfazl Suratgar

Associate Professor
Amirkabir University of Technology, Iran


Highest Degree
Ph.D. in Electrical Engineering from Amirkabir University of Technology, Iran

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Area of Interest:

Engineering
100%
Optimization
62%
Optimal design
90%
Artificial Intelligence
75%
Machine Learning
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Shakarami, M., A.A. Suratgar and H.A. Talebi, 2018. Intraoperative brain shift estimation using atlas of brain deformations and constrained kalman filter. IEEE Trans. Control Syst. Technol., 99: 1-10.
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  2. Ranjbar, E. and A.A. Suratgar, 2018. Design of a composite adaptive controller for the single-axis 2-DOF MEMS vibratory gyroscope with the competency of rotation rate measurement. J. Control Eng. Applied Inform., 20: 36-49.
  3. Adibzadeh, A., A.A. Suratgar, M.B. Menhaj and M. Zamani, 2018. Constrained optimal consensus in multi-agent systems with single-and double-integrator dynamics. Int. J. Control. 10.1080/00207179.2018.1481299.
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  4. Tavoosi, J., A.A. Suratgar and M.B. Menhaj, 2017. Stability analysis of recurrent type-2 TSK fuzzy systems with nonlinear consequent part. Neural Comput. Applic., 28: 47-56.
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  5. Tavoosi, J., A.A. Suratgar and M.B. Menhaj, 2017. Stability analysis of recurrent type-2 TSK fuzzy systems with nonlinear consequent part. Neural Comput. Applic., 28: 47-56.
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  6. Tavoosi, J., A.A. Suratgar and M.B. Menhaj, 2017. Stability analysis of a class of MIMO recurrent type-2 fuzzy systems. Int. J. Fuzzy Syst., 19: 895-908.
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  7. Ranjbar, E., A. Mehrnezhad and A.A. Suratgar, 2017. Adaptive sliding mode control of MEMS AC voltage reference source. J. Control Sci. Eng., Vol. 2017. 10.1155/2017/9425190.
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  8. Tavoosi, J., A.A. Suratgar and M.B. Menhaj, 2016. Stable ANFIS2 for nonlinear system identification. Neurocomputing, 182: 235-246.
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  9. Tavoosi, J., A.A. Suratgar and M.B. Menhaj, 2016. Nonlinear system identification based on a self-organizing type-2 fuzzy RBFN. Eng. Applic. Artificial Intell., 54: 26-38.
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  10. Shakarami, M., A.A. Suratgar and H.A. Talebi, 2015. Estimation of intra-operative brain shift based on constrained Kalman filter. ISA Trans., 55: 260-266.
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  11. Safaei, F., A.A. Suratgar, A. Afshar and M. Mirsalim, 2015. Characteristics optimization of the maglev train hybrid suspension system using genetic algorithm. IEEE Trans. Energy Conversion, 30: 1163-1170.
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  12. Hajimahdi, Z., A. Ranjbar, A.A. Suratgar and A. Zarghi, 2015. QSAR study on anti-HIV-1 activity of 4-oxo-1, 4-dihydroquinoline and 4-oxo-4H-pyrido [1, 2-a] pyrimidine derivatives using SW-MLR, artificial neural network and filtering methods. Iran. J. Pharm. Res., 14: 69-75.
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  13. Mohammadi, A., K. Moghadam, M. Rahimi and A.A. Suratgar, 2014. Presenting a novel path planning algorithm based on A-star Path planning. Indian J. Sci. Res., 1: 310-313.
  14. Araghi, L.F., A.A. Suratgar and E. Feizi, 2014. Global uniform asymptotic stability of a class of switched linear systems with an infinite number of subsystems. Abstract Applied Anal., Vol. 2014. 10.1155/2014/302542.
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  15. Tohidipour, M., A.A. Suratgar, M.R. Arab and A.R. Ashtiani, 2013. Designing a local seizure detection system using brain mapping, image processing techniques and artificial neural networks. Med. Sci. Univ. Arak J., 16: 24-33.
  16. Farahani, A.A., A.A. Suratgar and H.A. Talebi, 2013. Optimal controller design of legless piezo capsubot movement. Int. J. Adv. Robotic Syst. 10.5772/51428.
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  17. Dini, N., M.B. Menhaj and A.A. Suratgar, 2013. On the observability of a class of takagi-sugeno fuzzy systems. J. Basic Applied Sci. Res., 3: 41-55.
  18. Babaei, A., A.A. Suratgar and A.H. Salemi, 2013. Dimension estimation of rectangular cracks using impedance changes of the eddy current probe with a neural network. J. Applied Res. Technol., 11: 397-401.
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  19. Araghi, L.F., A.A. Suratgar and E. Feizi, 2013. Stability of a class of switched linear systems with infinite number of subsystems. J. Control Eng. Applied Inform., 15: 38-44.
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  20. Abdolmaleki, M., A.A. Suratgar and R.S. Sarabi, 2013. QSAR analysis for antimicrobial activity of veratric acid derivatives using artificial neural network. Der. Pharm. Chemica, 5: 104-111.
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  21. Suartgar, A.A., M. Soleimani and H. Davoudzadeh, 2011. Fuzzy modeling of diabetic rat blood sugar treated by cinnamon. Ann. Biol. Res., 2: 1-7.
  22. Rezaii, H., A.A. Suratgar and F. Abdollahi, 2011. Mathematical modeling of HIVs' proliferation mechanism in a body and their role in the body immune system destruction. Ann. Biol. Res., 2: 95-103.
  23. Hashemipoor, S.S. and A.A. Suratgar, 2011. Noise effect reduction on a MEMS based AC voltage reference source using artificial neural network. J. Applied Res. Technol., 9: 49-56.
  24. Suratgar, F., A.A. Suratgar and S.H. Hashemi, 2010. Fuzzy modeling of performance of composite soil reinforced with rice straw. Aust. J. Basic Applied Sci., 4: 1264-1272.
  25. Hashemipoor, S.S., A.A. Suratgar and S.H. Hoseini, 2010. Designing a robust MEMS AC voltage reference source using artificial neural network. Aust. J. Basic Applied Sci., 4: 1183-1188.
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  26. Arab, M.R., A.A. Suratgar, V.M. Martinez-Hernandez and A.R. Ashtiani, 2010. Electroencephalogram signals processing for the diagnosis of petit mal and grand mal epilepsies using an artificial neural network. J. Applied Res. Technol., 8: 120-128.
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  27. Arab, M.R., A.A. Suratgar and A.R. Ashtiani, 2010. Electroencephalogram signals processing for topographic brain mapping and epilepsies classification. Comput. Biol. Med., 40: 733-739.
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  28. Suratgar, A.A. and S.Y. Nikravesh, 2009. A new method for linguistic modeling with stability analysis and applications. Intell. Automation Soft Comput., 15: 329-342.
  29. Raoof, M. and A.A. Suratgar, 2009. Adaptive control of PLL using neural network. J. Franklin Instit., 346: 81-93.
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  30. Baharodimehr, A., A.A. Suratgar and H. Sadeghi, 2009. Capacitive MEMS accelerometer wide range modeling using artificial neural network. J. Applied Res. Technol., 7: 185-192.
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  31. Arab, M.R., A.A.A.F. Souratgar and A.R.R. Ashtiani, 2008. EEG signals processing for diagnosis petitmal (absence) and Grandmal epilepsies using artificial neural network. Med. Sci. Univ. Arak J., 11: 89-97.
  32. Suratgar, A.A. and S.K. Nikravesh, 2005. Potential energy based stability analysis of fuzzy linguistic systems. Iran. J. Fuzzy Syst., 2: 65-74.
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  33. Suratgar, A.A. and S.K.Y. Nikravesh, 2003. Two new methods for linguistic modeling with necessary and sufficient condition for their stability analysis. Daneshvar, 10: 55-66.
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  34. Khajavi, M.N., M.B. Menhaj and A.A. Suratgar, 2002. A neural network controller for load following operation of nuclear reactors. Ann. Nuclear Energy, 29: 751-760.
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