Faculty Members

Hamed Kebriaei

Hamed Kebriaei,

Associate Professor
College of Engineering / School of Electrical and Computer Engineering
Contact Number : 82084353
Room : 2-312
Research Profile Page rokhname-alias

Research interests:

Game Theory

Distributed Optimization and Learning

Multi-Agent Reinforcement Learning

With applications in Smart Networks like:

Smart Grids

IOT/Communication Networks

Social Networks


Intelligent Transportation Systems


Selected Journal Papers:

  1. Montazeri, Mina, Hamed Kebriaei, Babak N. Araabi, and Dusit Niyato. "Optimal Mechanism Design in the Sponsored Content Service Market." IEEE Communications Letters (2021).
  2. Fabiani, Filippo, Mohammad Amin Tajeddini, Hamed Kebriaei, and Sergio Grammatico. "Local Stackelberg equilibrium seeking in generalized aggregative games." IEEE Transactions on Automatic Control (2021).
  3. Shokri, Mohammad, and Hamed Kebriaei. "Network Aggregative Game in Unknown Dynamic Environment with Myopic Agents and Delay." IEEE Transactions on Automatic Control (2021).
  4. Rokhforoz, Pegah, Hamed Kebriaei, and Majid Nili Ahmadabadi. "Large-scale dynamic system optimization using dual decomposition method with approximate dynamic programming." Systems & Control Letters 150 (2021): 104894.
  5. Rokhforoz, Pegah, Hamed Kebriaei, and Majid Nili Ahmadabadi. "A fair task and time allocation of multiple human operators using decentralized Nash bargaining solution." Computers & Industrial Engineering 153 (2021): 107027.
  6. Kebriaei, Hamed, S. Jafar Sadati-Savadkoohi, Mohammad Shokri, and Sergio Grammatico. "Multi-Population Aggregative Games: Equilibrium Seeking via Mean-Field Control and Consensus." IEEE Transactions on Automatic Control (2021).
  7. Montazeri, Mina, Hamed Kebriaei, and Babak N. Araabi. "Learning pareto optimal solution of a multi-attribute bilateral negotiation using deep reinforcement." Electronic Commerce Research and Applications 43 (2020): 100987.
  8. Tajeddini, Mohammad Amin, Hamed Kebriaei, and Luigi Glielmo. "Decentralized Hierarchical Planning of PEVs Based on Mean-Field Reverse Stackelberg Game." IEEE Transactions on Automation Science and Engineering 17.4 (2020): 2014-2024.
  9. Taghizadeh, Amirheckmat, Hamed Kebriaei, and Dusit Niyato. "Mean field game for equilibrium analysis of mining computational power in blockchains." IEEE Internet of Things Journal 7.8 (2020): 7625-7635.
  10. Shokri, Mohammad, and Hamed Kebriaei. "Leader–Follower Network Aggregative Game With Stochastic Agents’ Communication and Activeness." IEEE Transactions on Automatic Control 65.12 (2020): 5496-5502.
  11. Farzaneh, Hesam, et al. "Robust energy management of residential nanogrids via decentralized mean field control." IEEE Transactions on Sustainable Energy 11.3 (2019): 1995-2002.
  12. Hosseinalizadeh, Teimour, Hamed Kebriaei, and Farzad Rajaei Salmasi. "Decentralised robust TS fuzzy controller for a parallel islanded AC microgrid." IET Generation, Transmission & Distribution 13.9 (2019): 1589-1598.
  13. Naghavi, Parnia, Hamed Kebriaei, and Vahid Shah-Mansouri. "Stable multi-player evolutionary game for two-choice resource allocation problems." IET Control Theory & Applications 13.8 (2019): 1211-1218.
  14. M. Shokri and H. Kebriaei. "Mean Field Optimal Energy Management of Plug-in Hybrid Electric Vehicles." IEEE Transactions on Vehicular Technology (2018).
  15. A. Aalipour, H. Kebriaei, and M. Ramezani. "Analytical Optimal Solution of Perimeter Traffic Flow Control Based on MFD Dynamics: A Pontryagin's Maximum Principle Approach." IEEE Transactions on Intelligent Transportation Systems (2018).
  16. M. A. Tajeddini and H. Kebriaei. "A Mean-Field Game Method for Decentralized Charging Coordination of a Large Population of Plug-in Electric Vehicles." IEEE Systems Journal 99 (2018): 1-10.
  17. M. Jamshidi,  H. Kebriaei, and Mohammad-Kazem Sheikh-El-Eslami. "An interval-based stochastic dominance approach for decision making in forward contracts of electricity market." Energy 158 (2018): 383-395.
  18. M. Saffar, H. Kebriaei, and D. Niyato, "Pricing and rate optimization of cloud radio access network using robust hierarchical dynamic game," IEEE Transactions on Wireless Communications, Accepted, 2017.
  19. MA Tajeddini, H Kebriaei, L Glielmo, Robust Decentralized Mean Field Control in Leader Following Multi Agent Systems, IET Control Theory & Applications, Accepted, 2017.
  20. H Kebriaei and L Iannelli, Discrete-time Robust Hierarchical Linear-Quadratic Dynamic Games, IEEE Transactions on Automatic Control, Accepted, 2017.
  21. H Khadem, H Kebriaei, Z Veisi, Inactivation of tumor suppressor genes and cancer therapy: An evolutionary game theory approach, Mathematical Biosciences, 288 pp. 84-93, 2017.
  22. F. Verrilli, H. Kebriaei, L. Glielmo, M. Corless and C. Del Vecchio, Effects of selection and mutation on epidemiology of X-linked genetic diseases, Mathematical Bionsciencs and Engineering, American Institude of Mathematical Sciences, 14 (3), pp. 755-775, 2017.
  23. H. Bayat-Yeganeh, V. Shah-Mansouri, H. Kebriaei, A multi-state Q-learning based CSMA MAC protocol for wireless networks, Wireless Networks, 2016.
  24. H. Kebriaei and Luigi Glielmo, Estimation, Learning and Stability analysis of supply function equilibrium game for generation companies, IEEE Systems Journal, 2016.
  25. 1- N. Rashedi, M.A. Tajeddini, H. Kebriaei, A Markov Game Approach for Multi-Agent Competitive Bidding Strategies in Electricity Market, IET Generation, Transmission & Distribution, 2016.
  26. P. Naghavi, H. Rastegar, V. Shah-Mansouri, H. Kebriaei, Learning RAT Selection Game in 5G Heterogeneous Networks, IEEE Wireless Communications Letters, 5:1 pp: 52-55, 2016..
  27. H. Kebriaei, B. Maham and D. Niyato,Double Sided Bandwidth-Auction Game for Cognitive Device-to-Device Communication in Cellular Networks, IEEE Transactions on Vehicular Technology, 2016.
  28. H. Kebriaei, A. Rahimikian, M. Nili Ahmadabadi, Model-Based and Learning-Based Decision Making in Incomplete Information Cournot Games: A State Estimation Approach, IEEE Transactions on Systems Man and Cybernetics: Systems, 45:2, pp.713:718, 2015.
  29. N. Rashedi, H. Kebriaei, Cooperative and Non-Cooperative Nash Solution for Linear Supply Function Equilibrium Game, Applied Mathematics and Computation, 244, pp.794–808, 2014.
  30. H. Kebriaei, M. Nili Ahmadabadi, A. Rahimikian, Simultaneous State Estimation and Learning in Repeated Cournot Games, Applied Artificial Intelligence, 28:1, pp.66-89, 2014.
  31. H. Kebriaei, A. Rahimikian, On the stability of quadratic dynamics in discrete time N-player Cournot games, Automatica, 48. pp. 1182-1189, 2012.
  32. H. Kebriaei, B.N..Araabi, A. Rahimikian, Short Term Load Forecasting with a New Non-symmetric Penalty Function, IEEE Transactions on Power Systems, Vol. 26, issue.4, pp. 1817-1825, 2011.
  33. H. Kebriaei, A. Rahimikian, V.J. Majd An Agent-based System for Bilateral Contracts of Energy, Expert Systems with Applications, 38, pp.11369–11376, 2011.
  34. H. Kebriaei, A. Rahimikian, “Decision making in dynamic stochastic Cournot games”, Mathematics and Computers in Simulation, 81(6), pp.1202-1217, 2011.
  35. H.Kamalinejad, V. J. Majd, H. Kebriaei, A. Rahimikian, “Cournot Games With Linear Regression Expectations in Oligopolistic Markets", Mathematics and Computers in Simulation, Vol 80, Issue 9, pp. 1874-1885, 2010.
  36. H. Kebriaei, M.J. Yazdanpanah, Robust adaptive synchronization of different uncertain chaotic systems subject to input nonlinearity, Communications in Nonlinear Science and Numerical Simulations, 15, pp.430–441, 2010.
  37. H. Kebriaei, V.J. Majd, A Simultaneous Multi-Attribute Soft-Bargaining Design for Bilateral Contracts, Expert Systems with Applications, 36 ,pp. 4417–22, 2009.
  38. H. Kebriaei, V.J. Majd, A. Rahimikian, A New Agent Matching Scheme Using an Ordered Fuzzy Similarity Measure and Game Theory, Computational Intelligence, Vol.25 Issue 2,  2008.


Selected Conference Papers:

  1. A. Khazraei, H. Kebriaei and F. R. Salmasi, A New Watermarking Approach for Replay Attack Detection in LQG Systems, 56th IEEE Conference on Decision and Control (CDC), 2017, Melbourne, Australia
  2. A Aalipour, H Kebriaei and Mohsen Ramezani, Nonlinear Robust Traffic Flow Control in Urban Networks, In 20th World Congress of the International Federation of Automatic Control (IFAC) , 2017, 9-14 July 2017.
  3. AR Moghadam, H Kebriaei, Development of Stochastic Optimal Controller for Itô Uncertain Model of Active Suspension System, Electrical Engineering (ICEE), 2017 Iranian Conference on, 591-596.
  4. A. Khazraei, H. Kebriaei and F. R. Salmasi, Replay Attack Detection in a Multi Agent System Using Stability Analysis and Loss Effective Watermarking, American Control Conference (ACC), 2017, Seattle, WA, US.
  5. F. Verrilli, H. Kebriaei, L. Glielmo, M. Corless and C. Del Vecchio, Selection and mutation effects on equilibrium and stability of X-linked recessive diseases, 54th IEEE Conference on Decision and Control (CDC), 2015, Osaka, Japan.
  6. M. Saffar, H. Kebriaei and L. Iannelli, On Robust One-Leader Multi-Followers Linear Quadratic Dynamic Games, 54th IEEE Conference on Decision and Control (CDC), 2015, Osaka, Japan.
  7. H. Khadem and H. Kebriaei, A Study of Inactivation of TSG and Cancer Therapy: An Evolutionary Game Theory Approach, 22nd Iranian Conference on Biomedical Engineering (ICBME), 2015.
  8. M. Lashgari, B. Maham, H. Kebriaei, W. Saad, Distributed power allocation and interference mitigation in two-tier femtocell networks: A game-theoretic approach, IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), 2015.
  9. M. Sharifi and H. Kebriaei, A study on pricing strategies for residential load management using fuzzy reinforcement learning, Cognitive Computing and Information Processing (CCIP), 2015 International Conference on. IEEE, 2015.
  10. H. Kebriaei, N. Rashedi, L. Glielmo, Supply Function Equilibrium Game with Myopic Adjustment and Adaptive Expectation, European Control Conference, 2015, Austria, Linz.
  11. D. Mansouri, H. Kebriaei, A. Rahimi-Kian, Sliding Mode Control of Bettry Converter in a Hybride System, 29th International Power System Conference, 2014, Tehran, Iran.
  12. H. Khadem, H. Kebriaei, Bidding Strategy in Repeated Auctions Based on Evolutionary Game Theory, 29th International Power System Conference, 2014, Tehran, Iran.
  13. H. Kebriaei, B. Maham, and D. Niyato, Supply-Demand Function Equilibrium for Double Sided Bandwidth-Auction Games, IEEE Wireless Communications and Networking Conference (WCNC) 2014, Istanbul, Turkey.
  14. H. Kebriaei, B. Maham, and D. Niyato, Bandwidth Price Optimization for D2D Communication  Underlaying Cellular Networks, IEEE WCNC - Workshop on Device-to-Device and Public  Safety Communications, 2014, Istanbul, Turkey.
  15. M. A. Tajeddini, M. Imani, H. Kebriaei, Bidding strategy in pay as bid markets by Multi- Agent Reinforcement Learning,28th International Power System Conference - 2013 Tehran, Iran.
  16. M. Hajjar Barghi, H. Kebriaei, Demand side management by leader-follower cooperative and non-cooperative games for residential loads, 28th International Power System Conference - 2013 Tehran, Iran.
  17. H. Kamalinejad, V. J. Majd, H. Kebriaei, A. R. Kian, “Oligopolistic Cournot Games With Linear Regression Expectations In A Power Market”, International Conference on Power, Control and Optimization, 2009, Bali, Indonesia,.
  18. H. Kebriaei, V.J.Majd, A.R.Kian, “An agent matching for bilateral contracts in multi-agent markets”, IEEE 3rd International Conference Intelligent Computer Communication and Processing, Cluj-Napoca, Romania, September 2007.
  19. H. Kebriaei, A.R.Kian, “Robust control of interval system using a pole placement design”, IEEE International Conference on Control and Automation, Guangzhou, China - May 30 to June 1, 2007.
  20. A.R.Kian, H. Kebriaei, F.Mahan, "An Agent-based Negotiation Method for Bilateral Contracts of Energy", Conference on IEEE Power Engineering Society, Montreal, Quebec, Canada. 2006.
  • 697 Citations
  • 15 h-Index
as of : 2023-03-01
Google Scholar
  • 963 Citations
  • 17 h-Index
as of : 2023-02-27

Fingerprint Fingerprints are created based on keywords that are used in students theses that are supervised by the researcher's.