akbarzadeSupervisor: Prof. Mohammad-R. Akbarzadeh-T
Education: PhD in  Electrical Engineering
Contact: Faculty of Engineering, Ferdowsi University of Mashhad, Iran
Email: akbarzadeh {AT} ieee.org
akbazar {AT} ferdowsi.um.ac.ir
Phone: +98 (51) 3880-5010
Personal Website

 

Research Interest: Bio-inspired computing/optimization/control, soft computing, multi-agent systems and distributed AI, uncertain and complex systems, robotics, cognitive sciences, medical informatics, and biomedical engineering systems.

 

Selected Research Papers:  Decision Making and Control by Extended and Probabilistic Fuzzy Logic, Modeling Human Behavior, Cognitive Control Systems and Optimization.

 


Selected Journals Papers:

1- Aghdas Meghdadi, M. -R. Akbarzadeh-T. and K. Javidan, "A Quantum-Like Model for Predicting Human Decisions in the Entangled Social Systems," in IEEE Transactions on Cybernetics, vol. 52, no. 7, pp. 5778-5788, July 2022.
2- Navid Bagherian-Marandi, Mehdi Ravanshadnia & Mohammad-R. Akbarzadeh-T, "Two-layered fuzzy logic-based model for predicting court decisions in construction contract disputes,"Artificial Intelligence and Law,  vol. 29, pp. 453–484,  2021.
3- Pooya Parsa, M.-R. Akbarzadeh-T, F. Baghbani,"Command-filtered backstepping robust adaptive emotional control of strict-feedback nonlinear systems with mismatched uncertainties, Information Sciences," Vol. 579, pp. 434-453,2021.
4- Mahdi Souzanchi-K, M.-R. Akbarzadeh-T, "Brain emotional learning impedance control of uncertain nonlinear systems with time delay: Experiments on a hybrid elastic joint robot in telesurgery," Computers in Biology and Medicine, Vol. 138, 2021.
5- Fahimeh Baghbani, M.-R. Akbarzadeh-T, M.-B. Naghibi Sistani, "Cooperative adaptive emotional neuro-control for a class of higher-ordered heterogeneous uncertain nonlinear multi-agent systems," Neurocomputing, Vol. 447, pp. 196-212,2021.
6- Aghdas Meghdadi, M.R. Akbarzadeh-T, "A stigmergic approach to teaching-learning-based optimization for continuous domains," Swarm and Evolutionary Computation, Vol. 62, 2021.
7- Somayeh Norouzi Ghazbi, Alireza Akbarzadeh, Mohammad-R Akbarzadeh-T, "Application of Taguchi design in system identification: A simple, generally applicable and powerful method," Measurement, Vol. 151, 2020.

8- F. Baghbani, M.-R. Akbarzadeh-T, M.-B. Naghibi-Sistani, Alireza Akbarzadeh, "Emotional neural networks with universal approximation property for stable direct adaptive nonlinear control systems," Engineering Applications of Artificial Intelligence, Vol. 89, 2020.
9- Masoud Bashari, Mohammad-R. Akbarzadeh-T, "Controlling opinions in Deffuant model by reconfiguring the network topology," Physica A: Statistical Mechanics and its Applications, Vol. 544, 2020.
10-  Masoud Bashari and Mohammad-Reza Akbarzadeh-Totonchi, "Distributed prediction of solar farm status by probabilistic fuzzy opinion formation model,"Journal of Renewable and Sustainable Energy ,Vol.10, 2018.
11- Masoud Bashari and M.-R. Akbarzadeh-T., "Modeling Opinion Formation in Social Networks: A Probabilistic Fuzzy Approach, International Journal of Uncertainty, "Fuzziness and Knowledge-Based Systems, Vol. 28, No. 01, pp. 99-116, 2020.
12- M. Souzanchi-K., A. Arab, M. Akbarzadeh-T. and M. M. Fateh, "Robust Impedance Control of Uncertain Mobile Manipulators Using Time-Delay Compensation," in IEEE Transactions on Control Systems Technology, vol. 26, no. 6, pp. 1942-1953, Nov. 2018.
13- F. Sabahi and M. R. Akbarzadeh-T, "Extended Fuzzy Logic: Sets and Systems," in IEEE Transactions on Fuzzy Systems, vol. 24, no. 3, pp. 530-543, June 2016.
14- E. Lotfi, M.-R. Akbarzadeh-T., "A winner-take-all approach to emotional neural networks with universal approximation property," Information Sciences, Vol. 346–347,pp. 369-388, 2016.
15- M.-H. Tayarani-N., M.-R. Akbarzadeh-T., "Magnetic-inspired optimization algorithms: Operators and structures," Swarm and Evolutionary Computation, Vol. 19, pp. 82-101, 2014.

16- Ehsan Lotfi, M.-R. Akbarzadeh-T., "Adaptive brain emotional decayed learning for online prediction of geomagnetic activity indices," Neurocomputing, Vol. 126, pp. 188-196, 2014.
17- Farnaz Sabahi, Mohammad-R. Akbarzadeh-T, Introducing validity in fuzzy probability for judicial decision-making," International Journal of Approximate Reasoning, Vol. 55, No. 6, pp. 1383-1403, 2014.

18- Farnaz Sabahi & M. -R. Akbarzadeh-T , "A framework for analysis of extended fuzzy logic," Journal of Zhejiang University SCIENCE C, vol. 15, pp. 584–591, 2014.
19- Farnaz Sabahi, M.-R. Akbarzadeh-T, "A qualified description of extended fuzzy logic," Information Sciences, Vol. 244, pp. 60-74, 2013.

20- M. V. Jahan and M. Akbarzadeh-Totonchi, "From Local Search to Global Conclusions: Migrating Spin Glass-Based Distributed Portfolio Selection," in IEEE Transactions on Evolutionary Computation, vol. 14, no. 4, pp. 591-601, Aug. 2010.

21- R. Shahnazi and M. Akbarzadeh-T., "PI Adaptive Fuzzy Control With Large and Fast Disturbance Rejection for a Class of Uncertain Nonlinear Systems," in IEEE Transactions on Fuzzy Systems, vol. 16, no. 1, pp. 187-197, Feb. 2008.