Dr. Amir Abolfazl Suratgar

Associate Professor
Amirkabir University of Technology, Iran

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

My URL
https://livedna.org/98.25989

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Area of Interest:

Engineering
Optimization
Optimal design
Artificial Intelligence
Machine Learning

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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Member since December, 2018