IPM Positions

Member, Scientific Council, School of Cognitive Sciences (1998 - Present (Professor at University of Tehran))

Non IPM Affiliations

Professor of School of Electrical and Computer Engineering, College of Eng., University of Tehran

Research Interests

Cognitive robotics, Modeling cognitive systems, Learning systems, Distributed robotics, Object manipulation, and Mobile robots

Present Research Project at IPM

Learning in Multi-agent systems

More Information

Professor of School of Electrical and Computer Engineering, College of Eng., University of Tehran

Related Papers

1.	M. Rostami Kangroodi, JL. Cook, JC. Swart, MI. Frobose, DE. Geurts, A-H. Vahabie, M. Nili Ahmadabadi, R. Cools and H. den Ouden Effects of methylphenidate on reinforcement learning depend on working memory capacity Psychopharmacology (2021),   [abstract]

2.	S. Zendehrouh and M. Nili Ahmadabadi Individually irrational pruning is essential for ecological rationality in a social context Cognitive Psychology 118 (2020),   [abstract]

3.	S. Rashid Shomali, M. Nili Ahmadabadi, S. N. Rasuli and H. Shimazaki Judging between Excitation and Inhibition: Identifying Local Network Architecture by an Analytic Pre-Post Relation ( In: Bernstein Conference 2019) [abstract]

4.	S. Rashid Shomali, M. Nili Ahmadabadi, S. N. Rasuli and H. Shimazaki Uncovering Network Architecture Using an Exact Statistical Input-Output Relation of a Neuron Model bioRxiv (2019), 1-28  [abstract]

5.	S. Masoudnia, O. Mersa, BN. Araabi, A-H. Vahabie, MA. Sadeghi and MN. Ahmadabadi Multi-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs Expert Systems with Applications (2019),   [abstract]

6.	S. Rashid Shomali, M. Nili Ahmadabadi, H. Shimazaki and S.N. Rasuli How does transient signaling input affect the spike timing of postsynaptic neuron near the threshold regime: an analytical study Journal of Computational Neuroscience 44:147 (2018), 1-25  [abstract]

7.	A-H. Vahabie, MR. A.Dehaqani, M. Nili, B. Araabi and H. Esteky Rapid face adaptation distributes representation in inferior-temporal cortex across time and neuronal dimensions Scientific Reports 7 (2017), 1-13  [abstract]

8.	S. Rashid Shomali, M. Nili Ahmadabadi, H. Shimazaki and S.N. Rasuli Exact spike-timing distribution and its usage in neural structure identification ( In: Statistical physics methods in biology and computer science (Satellite meeting of StatPhys 2016), Ecole Normale Superieure, Paris , July 13 2016, POSTER) [abstract]

9.	S. Rashid Shomali, M. Nili Ahmadabadi, S.N. Rasuli and H. Shimazaki Exact analysis of spike-timing and higher-order interactions of neurons at the threshold regime suggests network architecture underlying sparse population activity ( In: Society for Neuroscience 2016, San Diego, Nov 14, 2016 POSTER) [abstract]

10.	S. Rashid Shomali, M. Nili Ahmadabadi, H. Shimazaki and S.N. Rasuli Analytical study of correlation and Fisher information caused by common inputs ( In: the 39th Annual Meeting of the Japan Neuroscience Society (Neuro2016),Yokohama, Japan, Jul 22, 2016 POSTER) [abstract]

11.	S. Rashid Shomali, M. Nili Ahmadabadi, H. Shimazaki and S.N. Rasuli Exact spike-timing distribution reveals higher-order interactions of neurons ( In: BMC Neuroscience 2016, 17(Suppl 1):P73, DOI: 10.1186/s12868-016-0283-6) [abstract]

12.	MR. A.Dehaqani, A-H. Vahabie, R. Kiani, M. Ahmadabadi, B. Araabi and H. Esteky Temporal dynamics of visual category representation in the macaque inferior temporal cortex Journal of Neurophysiology 116 (2016), 587-601  [abstract]

13.	Z. Sadeghi, B. Nadjar Araabi and M. Nili Ahmadabadi A Computational Approach towards Visual Object Recognition at Taxonomic Levels of Concepts Computational Intelligence and Neuroscience 2015 (2015), 1-10  [abstract]

14.	A. Mousavi, B. Araabi and M. Niliahmadabadi Context Transfer and Q-Transferable Tasks ( In: Knowledge, Skill, and Behavior Transfer in Autonomous Robots: Papers from the 2015 AAAI Workshop) [abstract]

15.	A. Mahmoudi, D. Bang, K. Olsen, Y. Aimee Zhao, Z. Shi, K. Broberg, S. Safavi, S. Han, M. Niliahmadabadi, C. Frith, A. Roepstorff, G. Rees and B. Bahrami Equality bias impairs collective decision-making across cultures Proceedings of the National Academy of Sciences 112 (2015), 3835-3840  [abstract]

16.	S. Rashid Shomali, M. Nili Ahmadabadi, H. Shimazaki and S.N. Rasuli Theoretical study on spike-timing probability in a pair of pre-post synaptic neurons ( In: Neuro2014, Yokohama, Japan. Sep 11, 2014 POSTER) [abstract]

17.	S. Yaghini Bonabi, H. Asgharian, S. Safari and M. Nili Ahmadabadi FPGA implementation of a biological neural network based on the Hodgkin-Huxley neuron model Frontiers in Neuroscience doi: 10.3389/fnins.2014.00379 (2014),   [abstract]

18.	H. Kebriaei, A. Rahimi-Kian and M. Niliahmadabadi Model-Based and Learning-Based decision making in incomplete information cournot games: A state estimation approach IEEE Transactions on Systems, Man and Cybernetics 45 (2014), 713-718  [abstract]

19.	A. Mousavi, B. Araabi and M. Niliahmadabadi Context transfer in reinforcement learning using Action-Value functions Computational Intelligence and Neuroscience 428567 (2014), 1-10  [abstract]

20.	Z. Gharaee, A.R. Fatehi, M.S. Mirian and M. Niliahmadabadi Attention control learning in the decision space using state estimation International Journal of Systems Science 47 (2014), 1659-1674  [abstract]

21.	P. Daee, M.S. Mirian and M. Niliahmadabadi Reward maximization justifies the transition from sensory selection at childhood to sensory integration at adulthood Plos One 9 (2014), 1-13  [abstract]

22.	M.H. Zokaei Ashtiani, M. Nili Ahmad Abadi and B. Nadjar Araabi Bandit-based local feature subset selection Neurocomputing 138 (2014), 371-382  [abstract]

23.	S. Rashid Shomali, M. Nili Ahmadabadi and S.N. Rasuli Study the spike-timing distribution between presynaptic and postsynaptic neurons ( In: 2nd IPM Conference on Soft matter, Biological and statistical physics, 25 Oct 2013) [abstract]

24.	Z. Sadeghi, M. Nili Ahmadabadi and B. Nadjar Araabi Unsupervised Categorization of Objects into Artificial and Natural Superordinate Classes Using Features from Low-Level Vision International Journal of Image processing (IJIP) 7 (2013), 339-352  [abstract]

25.	H. Hajimirsadeghi, M. Nili Ahmad Abadi and B. Araabi Conceptual Imitation Learning Based on Perceptual and Functional Characteristics of Action IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT 5 (2013), 311-325  [abstract]

26.	R. Bakhtiari, N. Zürcher, O. Rogier, B. Russo, L. Hippolyte, C. Granziera, B. Nadjar Araabi, M. Nili Ahmadabadi and N. Hadjikhani Differences in white matter reflect atypical developmental trajectory in autism: A Tract-based Spatial Statistics study NeuroImage 1 (2012), 48-56  [abstract]

27.	R. Bakhtiari, N. Mohammadi Sephavand, M. Nili Ahmadabadi, B. Nadjar Araabi and H. Esteky Computational model of excitatory/inhibitory ratio imbalance role in attention deficit disorders Journal of Computational Neuroscience 33 (2012), 389-404  [abstract]

28.	M. Mirian, B. Nadjar Aarabi, M. Nili Ahmadabadi and R. Siegwart Metal: A framework for mixture of experts task and attention learning Intelligent and Fuzzy System 23 (2012), 111-128  [abstract]

29.	M. Mirian, M. Niliahmadabadi, B. Nadjar Arabi and R. Siegwart Learning active fusion of multiple experts’ decisions: An attention-based approach Neural Computation 23 (2011), 558-591  [abstract]

30.	E. Norouzi, M. Nili Ahmadabadi and B. Nadjar Arabi Attention control with reinforcement learning for face recognition under partial occlusion Machine Vision & Applications 22 (2011), 337-348  [abstract]

31.	A. Borji, M. Nili Ahmadabadi and B. Araabi Cost-sensitive learning of top-down modulation for attentional control Machine Vision & Applications 22 (2011), 61-76  [abstract]

32.	A.M. Farahmand, M. Nili Ahmadabadi, C. Lucas and B. Arabi Interaction of culture-based learning and cooperative co-evolution and its application to automatic behavior-based system design IEEE Transactions on Evolutionary Computation 14 (2010), 23-57  [abstract]

33.	A. Borji, M. Nili Ahmadabadi, B. Nadjar Arabi and M. Hamidi Online learning of task-driven object-based visual attention control Image and Vision Computing 28 (2010), 1130-1145  [abstract]

34.	. Derhami, . Johari Majid and . Nili Ahmadabadi Exploration and exploitation balance management in fuzzy reinforcement learning Fuzzy Sets and Systems 161 (2010), 578-595  [abstract]

35.	A. Arami, C. Lucas and M. Nili Ahmadabadi Attention to multiple local critics in decision making and control Expert Systems with Applications 37 (2010), 6931-6941  [abstract]

36.	M. Harandi, M. Nili Ahmadabadi and B. Arabi Optimal Local Basis: A Reinforcement Learning Approach for Face Recognition Computer Vision 81 (2009), 191-204  [abstract]

37.	A. Borji, M. Nilli Ahmadabadi and B. Nadjar Araabi Learning Sequential Visual Attetion Control Through Dynamic State Space Descritization ( In: ICRA 09, Kobe, Japan,) [abstract]

38.	V. Derhami, V. Johari Majid and M. Nili Ahmadabadi Fuzzy sarsa learning and the proof of existence of its stationary points Asian Journal of Control 10 (2008), 535-549  [abstract]

39.	T. Shahbazi, C. Lucas, M. Nili Ahmadabadi and B. Arabi Learning decision fusion in concept learning using population based incremental learning (PBIL) ( In: 2nd Joint Congress on Fuzzy and Intelligent Systems, Tehran, Iran, 2008) [abstract]

40.	T. Shahbazi, B. Arabi and M. Nili Reinforcement-based Belief Revision: A General Mechanism for Incremental Learning of Belief Mass from Negative and Positive Feedback ( In: 2nd Joint Congress on Fuzzy and Intelligent Systems, Tehran, Iran, 2008) [abstract]

41.	A. Borji, M. Nilli Ahmadabadi and B. Nadjar Araabi Learning Object-based Attention Control ( In: NIPS workshop on ) [abstract]

42.	A. Borji, M. Nilli and B. Araabi Interactive Learning of Top-down Attention Control and Motor Actions ( In: IROS workshop on ?From motor to interaction learning in robots) [abstract]

43.	A. Borji, M. Nilli Ahmadabadi and B. Nadjar Araabi Learning top-down Feature Based Attention Control ( In: ECCV Workshop on Vision in Action: Efficient Strategies for Cognitive Agents in Complex Environments) [abstract]

44.	A. Arami, B. Nadjar Arabi, C. Lucas and M. Nili Ahmadabadi Learning cluster type and dissimilarity metric for each cluster using a set of possible cluster types Computer Science & Engineering 5 (2007), 33-45  [abstract]

45.	B. Nadjar Arabi, S. Mastoureshgh and M. Nili Ahmadabadi A study on expertise of agents and its effects on cooperative Q-learning IEEE Transactions on Systems, Man and Cybernetics 37 (2007), 398-409  [abstract]

46.	R. Bakhtiari, B. Nadjar Arabi and B. Nili Ahmadabadi A cooperative learning approach to mixed performance controller design: a behavioural viewpoint Intelligent Systems Technologies and Applications 2 (2007), 137-160  [abstract]

47.	T. Shahbazi, B. Nadjar Arabi, M. Nili Ahmadabadi and C. Lucas Modeling Sensor Reliabilities in the Belief Functions Framework for Learning by Evolutionary Algorithms ( In: 1st Joint Congress on Fuzzy and Intelligent Systems, Mashhad, Iran, 2007 ) [abstract]

48.	T. Shahbazi, M. Nili Ahmadabadi and B. Nadjar Arabi Concept Learning using Reinforcement Learning Based on Evidence theory ( In: 1st Joint Congress on Fuzzy and Intelligent Systems, Mashhad, Iran, 2007 ) [abstract]

49.	S. Haidarian Shahri and M. Ahmadabadi A bayesian approach to attention control and concept abstraction Lecture Notes in Artificial Intelligent 4840 (2007), 155?170  [abstract]

50.	H. Mobahi, M. Ahmadabadi and B. Araabi A biologically inspired method for conceptual imitation using reinforcement learning Applied Artificial Intelligence 21 (2007), 155 - 183  [abstract]

51.	H. Shariatpanahi and M. Ahmadabadi biologically inspired framework for learning and abstract representation of attention control Lecture Notes in Artificial Intelligent 4840 (2007), 307-324  [abstract]

52.	H. Mobahi, M. Nili Ahmadabadi and B. Nadjar Arabi Swarm contours: A fast self-organization approach for snake initialization Applied Artificial Intelligence 12 (2006), 41-52  [abstract]

53.	M. Nili Ahmadabadi, A. Imanipour, B. Nadjar Araabi, M. Asadpour and R. Siegwart Knowledge-based extraction of area of expertise for cooperation in learning ( In: The 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems) [abstract]

54.	A. Harati, M. Nili Ahmadabadi and B. Nadjar Araabi Knowledge Based Multiagent Credit Assignment: A Study on task Type and Critic Information Intelligent Automation and Soft Computi 12 (2006), 1-21  [abstract]

55.	A. Zaerpoor, M. Nili Ahmadabadi, M.R. Baruni and Z. D. Wang Distributed Object Transportation on a desired Path Based on Constrain-and-move Strategy Journal of Autonomous Robots and Systems 50 (2005), 115-128  [abstract]

56.	A. Farahmand, M. Nili Ahmadabadi and B. Nadjar Araabi Behavior Hierarchy Learning in a Behavior-based System using Reinforcement Learning ( In: IROS 2004) [abstract]

57.	A. Abbaspour, C. Lucas and M. Nili Ahmadabadi Multi Objective Emotional Learning for Portfolio Selection ( In: WAC 2004) [abstract]

58.	A. Abbaspour, C. Lucas and M. Nili Ahmadabadi Emotional Reinforcement Learning for Portfolio Selection ( In: WSEAS TRANSACTIONS on SYSTEM) [abstract]

59.	S.M.R. Mirfattah, M. Nili Ahmadabadi and B. Nadjar Araabi Episode and Q-cell sharing Among Heterogeneous Q-Learning Agents: A Cooperative Learning Strategy ( In: IROS-03 Workshop on Learning and Evolution in Multi agent Systems) [abstract]

60.	S. Mastour Eshgh, B. Nadjar Araabi and M. Nili Ahmadabadi Cooperative Q-Learning in a Team of Specialized Agents ( In: IROS-03 Workshop on Learning and Evolution in Multi agent Systems) [abstract]

61.	S.M.R. Mirfattah, M. Nili Ahmadabadi and B. Nadjar Araabi Finding Action Equivalences among Heterogeneous for Cooperative Q-Learning ( In: IROS-03 Workshop on Learning and Evolution in Multi agent Systems) [abstract]

62.	A. Harati and M. Nili Ahmadabadi A New approach to credit assignment in a team of cooperative Q-learning agents ( In: SMC'02) [abstract]

63.	S.M.R. Mirfattah and M. Nili Ahmadabadi Cooperative Q-learning with heterogeneity in actions ( In: SMC'02) [abstract]

64.	A. Harati and M. Nili Ahmadabadi Certainty and expertness based credit assignment for cooperative Q-learning agents with an and-type task ( In: ICONIP'02seal'02-FSKD'02) [abstract]

65.	M. Nili Ahmadabadi and M. Asadpour Expertness based cooperative Q-learning IEEE Transactions on Systems, Man and Cybernetics 32 (2002), 66-76  [abstract]

66.	M. Nili Ahmadabadi Cooperative Q-learning: The knowledge sharing issue J. of Advanced Robotics, 15 (2001), 815-832  [abstract]

67.	M. Nili Ahmadabadi, M. Asadpour, S.H. khodabakhsh and E. Nakano Expertness Measuring in Cooperative Learning ( In: IEEE/RS 2000 Int. Conf. on Intelligent Robots and Systems) [abstract]