MOHAMMAD MEHDI EBADZADEH - Amirkabir University of Technology

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Amirkabir University of Technology

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MOHAMMAD MEHDI EBADZADEH

Professor
Department of Computer Engineering
Artificial Intelligent and Robotics

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Email:

ebadzadeh

aut.ac.ir

Phone:

h-index (Scopus):

23.00

Citations (Scopus):

2345

Research Interests

Title

Start date

Deep Reinforcement learning

Computational Intelligence

Computational Neuroscience

Machine Learning

Supervised PhD Theses

Thesis title

Date

Hierarchical Estimation of Distribution Genetic Programming

MOHADDESEH KOOSHA

2024 Jan

A Novel Neuro-Fuzzy Network for Time Series Prediction

HAMID NASIRI

2023 Oct

Kernel Compositional Embedding and its application in linguistic Structured Data Classification

HAMED GANJI ARJENAKI
Other Supervisor: Shahram Khadivi

2021 Mar

Decomposition-based Genetic Programming

SAMANEH SADAT MOUSAVI ASTARABADI

2018 Jul

A Computational Model of Basal Ganglia for Motor Control

ARMIN SALIMI BADR

2018 Feb

Semantic Schema-based Genetic Programming

ZAHRA ZOJAJI

2017 Sep

Variable Signature Modeling for Spectral Unmixing

ALI JAFARI
Other Supervisor: REZA SAFABAKHSH

2016 Nov

Mathematical and Computational Modeling of the Interaction between the Immune and Nervous Systems

HAMED MALEK & REZA SAFABAKHSH
Other Supervisor:

2015 Nov

Statistical Genetic Programming for Solving Symbolic Regression Problems

MARYAM AMIR HAERI

2014 Aug

Improved Particle Swarm Optimizers for Non-Stationary Environments

AHMAD NIKABABDI & REZA SAFABAKHSH
Other Supervisor:

2012 Apr

Providing a solution for inverse reinforcement learning using generative adversarial networks

FATEME SHAHABI NEJAD

2026 Jan

Supervised MSc Theses

Thesis title

Date

Desing and implementation of hybrid controller for humanoid robots using model based deep reinforcement learning and imitation learning methods

KOOROSH KHAVARI MOGHADDAM

2024 Oct

Genetic Programming-Based Feature Learning for Image Classification

ZAHRASADAT RAZAVINEZHAD

2023 Sep

A Classification Method to Increase Accuracy Using Fuzzy Neural Networks

HADISE VARDAN

2022 Oct

a computational model of the cerebellum applied to the movement of eyes and head

HAMIDREZA DARGAHI

2022 Mar

A computational model of basal ganglia for planning and selection

EMAD AREZOOMAND

2021 Oct

Distributed deep learning for big data

HOSSEIN KHALILIAN GOURTANI & Maryam AmirHaeri
Other Supervisor:

2021 Sep

Kernel Clustering for Massive Data Sets

AMIR ARADNIA & Maryam AmirHaeri
Other Supervisor:

2020 Jul

Fuzzy Clustering for Big Data

LEILA AZADKHAH & Maryam AmirHaeri
Other Supervisor:

2019 Sep

Mobile robot navigation, using cognitve maps

SINA RAEESI

2018 Jul

Human Behaviour simulationan In Autonomous Agents:Emotions And Personality_ Inorder To Communicate with Autism's Childeren

MAHDIYEH SADAT MOOSAVI

2018 Jul

Improving Multi-Objective particle swarm optimization

MASOOMEH MAHTABI

2017 Jul

Correlated dimensions particle swarm optimization

ALIREZA BADAKHSHAN

2017 Jul

Fuzzy-Based Recommender Systems in E-Commerce

ALI EMAMHADI

2017 Jul

Topic Adaptation for Statistical Machine Translation

MINA TARAGHI & Shahram Khadivi
Other Supervisor:

2017 Feb

An Improved Particle Swarm Optimization Algorithm for High-dimensional Problems

HAMID NASIRI

2016 Oct

Forecasting financial market using correlated fuzzy neural networks

MOHAMMAD KARIM SHOEIBI NOBARIAN

2016 May

Improving genetic programming by nature inspiration

RAANA POURIA

2016 Apr

Classification using sparse representation and kernel trick

MOHAMMAD MAZRAEH

2016 Feb

A new optimization algorithm based on artificial immune system

BAHAREH ETAATI

2015 Sep

Diploid Evolutionary Algorithm

FATEME BEIGOM HOSEINI

2015 Sep

AChaoticMemetic Algorithm-Based Approach to Spectrum Allocation and Power Control with Constraints in Cognitive Radio Networks

MOHAMMADALI HOJATPANAHFEYZABADI

2014 Oct

A new learning method for correlated fuzzy interval type 2 neural network

FARSHAD AFSHARI

2014 Sep

Diploid genetic programming for function estimation

FATEMEH SHADJOU

2014 Jun

Improving computational models of basal ganglia for planning

MAHSA KHOSHNOODI

2014 Jun

an improvement to the learning algorithm of the recurrent bottleneck neural network

NAEMEH SADAT ADL

2013 Feb

presenting a fuzzy neuronal motor control model inspired from cerebellar pathways

ARMIN SALIMI BADR

2012 Oct

A novel approach in evolutionary strategy

ARASH KHOSHNOOD

2012 Oct

mobile ad-hoc networks misbehavior detection using artificial immune system

NAVID SHEKOUFA

2012 Jul

proposed model for vestibulo-ocular reflex

ZAHRA ZAMANZADEH DARBAN

2012 Jun

web page classification with an ant colony algorithm

FAKHTEH MOLANAZARI

2012 May

image retrieval using fuzzy measures

ELHAM AKBARKHAH

2012 May

a diploid evolutionary algorithm for optimization problem

LEILA NAGHSHBANDI

2012 Feb

modification of cerebellum network for controlling two segmented arm

MITRA ASADI EYDIVAND

2011 Jul

obtaining nash equilibrium via artificial immune system

MOSTAFA AGHAJANI

2011 Jun

improving genetic kerel support vector machines and its application in text classification

MEHRDAD ALIZADEH

2011 Jun

a model of basal ganglia in movement control

ATOUSA ASSADI

2011 Jun

a model of cerebellum in control of limb movement

ROZBEH NOROZI

2011 Jun

authentication based on keystroke as a complementary behavioral biometric

MANDANA GOUDARZIAN

2010 Oct

Modular immune programming using learning automata for data classification

HAMID IZADINIA

2010 Jul

Piecewise linear classifier using fuzzy immune network

FERESHTEH SADEGHI

2010 Jul

Using danger model of the immune systems for intrusion detection in distributed systems

MAHDI ZAMANI

2010 Jun

Improving particle swarm optimization in function optimization

SEYYED MOSTAFA AREFIYAN KHALILABAD

2010 Feb

presenting deferred rendering speed estimation model in scenes with different properties

EHSAN KHADANGI

2009 Jan

Time series forecasting using genetic programming

ABBAS SARRAF SHIRAZI

2008 Dec

Assessing Successful Implementation of Knowledge Management in Organization by Fuzzy Expert System

ROSA BONYADI

2008 Apr

Designing IT Management Solutions Expert Systems for Business Improvement and Extension

SASAN ZARIF SAFFARI

2008 Mar

Books

Title

Author(s)

Publisher country

publication date

version

Swarm Intelligence Volume 1: Principles, current algorithms and methods

A. Nikabadi, R. Safabakhsh, M.M. Ebadzadeh

Britain

Journal Papers

N. Mohammadpourzeroumi, M. Fozi, M.M. Ebadzadeh, A. Azimi, A. Kamalie Iglie, "Proximal policy optimization with adaptive generalized advantage estimate: critic-aware refinements", Journal of Mathematical Modeling, 2025 Oct vol. , no. , pp.1-14, 2025.

F. Shahabi Nejad, M.M. Ebadzadeh, "A fast and stable framework for generative adversarial imitation learning", Engineering Applications of Artificial Intelligence, 2025 Sep vol. 162, no. 112460, pp.1-15, 2025.

M. Adibiyan, M.M. Ebadzadeh, "Double Deep Q Network with Adaptive Prioritized Experience Replay", Aut Journal of Modeling and Simulation, 2025 Jun vol. , no. , pp.-, 2025.

F. Shahabi Nejad, M.M. Ebadzadeh, "Stock market forecasting using DRAGAN and feature matching", Expert Systems With Applications, 2023 Dec vol. 244, no. 122952, , 2023.

Mohammed Abdallah, Babak Mohammadi, H. Nasiri, Okan Mert Katipo?lu, Modawy Adam Ali Abdalla, M.M. Ebadzadeh, "Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and quantile regression forests algorithm", Energy Reports, 2023 Nov vol. 10, no. 0, pp.4198-4217, 2023.

H. Nasiri, M.M. Ebadzadeh, "Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition", Applied Soft Computing, 2023 Sep vol. 148, no. 0, pp.1-16, 2023.

Ali Yousefi, Kambiz Badie, M.M. Ebadzadeh, Arash Sharifi, "Improving the efficiency of the XCS learning classifier system using evolutionary memory", Wireless Networks, 2023 Jan vol. 2023, no. 1, pp.1-10, 2023.

M. Koosha, Ghazaleh Khodabandelou, M.M. Ebadzadeh, "A hierarchical estimation of multi-modal distribution programming for regression problems", Knowledge-Based Systems, 2023 Jan vol. 260, no. 0, pp.110129-110129, 2023.

M. Modiri, M.M. Ebadzadeh, M.M. Homayounpour, "Reservoir consisting of diverse dynamical behaviors and its application in time series classification", International Journal of Data Science and Analytics, 2022 Sep vol. -, no. 0, pp.1-18, 2022.

H. Nasiri, M.M. Ebadzadeh, "MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction", Neurocomputing, 2022 Aug vol. 507, no. 0, pp.292-310, 2022.

Zahra Zojaji, M.M. Ebadzadeh, H. Nasiri, "Semantic schema based genetic programming for symbolic regression", Applied Soft Computing, 2022 Apr vol. 122, no. 108825, pp.1-25, 2022.

B. Etaati, Zahra Ghorrati, M.M. Ebadzadeh, "A full-featured cooperative coevolutionary memory-based artificial immune system for dynamic optimization", Applied Soft Computing, 2022 Jan vol. 117, no. 108388, , 2022.

M. Modiri, M.M. Homayounpour, M.M. Ebadzadeh, "Reservoir weights learning based on adaptive dynamic programming and its application in time series classification", Neural Computing and Applications, 2022 Jan vol. -, no. 0, pp.1-17, 2022.

Armin Salimi Badr, M.M. Ebadzadeh, "A novel learning algorithm based on computing the rules' desired outputs of a TSK fuzzy neural network with non-separable fuzzy rules", Neurocomputing, 2021 Nov vol. 470, no. 1, pp.139-153, 2021.

A. Aradnia, Maryam Amir Haeri, M.M. Ebadzadeh, "Adaptive Explicit Kernel Minkowski Weighted K-means", Information Sciences, 2021 Oct vol. 584, no. 1, pp.503-518, 2021.

H. Malek, M.M. Ebadzadeh, R. Safabakhsh, Alireza Razavi, "Mathematical analysis of the role of pituitary-adrenal interactions in ultradian rhythms of the HPA axis", Computers In Biology and Medicine, 2021 Aug vol. 135, no. 104580, pp.1-7, 2021.

A. Abdi Hejrandoost, M. Rahmati, M.M. Ebadzadeh, "Entropy based dictionary learning for image classification", Pattern Recognition, 2020 Sep vol. 110, no. 10, pp.1-20, 2020.

Christian Darlot, A. Salimi Badr, M. Asadi Eydivand, Zahra Ghorrati, M.M. Ebadzadeh, "A Computational System-Level Model of Oculomotor Pathways Accounting for the Representation of Eye Biomechanics in the Cerebellar Vermis", Ieee Access, 2020 Jun vol. 8, no. 1, pp.110859-110879, 2020.

Seyedeh Yasaman Rashida, M. Sabaei, M.M. Ebadzadeh, Amir Masoud Rahmani, "An intelligent approach for predicting resource usage by combining decomposition techniques with NFTS network", Cluster Computing-The Journal of Networks Software Tools and Applications, 2020 May vol. 23, no. 4, pp.3435-3460, 2020.

A. Salimi Badr, M.M. Ebadzadeh, "A Novel Self-Organizing Fuzzy Neural Network to Learn and Mimic Habitual Sequential Tasks", Ieee Transactions On Cybernetics, 2020 Apr vol. 1, no. 1, pp.1-10, 2020.

Seyedeh Yasaman Rashida, M. Sabaei, M.M. Ebadzadeh, Amir Masoud Rahmani, "A memetic grouping genetic algorithm for cost efficient VM placement in multi-cloud environment", Cluster Computing-The Journal of Networks Software Tools and Applications, 2019 Jul vol. 2019, no. 1, pp.1-40, 2019.

S.S. Mousavi Astarabadi, M.M. Ebadzadeh, "Genetic Programming Performance Prediction and its Application for Symbolic Regression Problems", Information Sciences, 2019 Jun vol. 502, no. 0, pp.418-433, 2019.

Ghazaleh Khodabandehlou, M.M. Ebadzadeh, "Fuzzy neural network with support vector-based learning for classification and regression", Soft Computing, 2019 Jun vol. 0, no. 0, pp.1-16, 2019.

A. Abdi Hejrandoost, M. Rahmati, M.M. Ebadzadeh, "Dictionary Learning Enhancement Framework: Learning a Non-Linear Mapping Model to Enhance discriminative Dictionary Learning Methods", Neurocomputing, 2019 May vol. 357, no. 6, pp.135-150, 2019.

S.S. Mousavi Astarabadi, M.M. Ebadzadeh, "A Decomposition Method for Symbolic Regression Problems", Applied Soft Computing, 2017 Nov vol. 62, no. 0, pp.1-18, 2017.

A. Salimi Badr, M.M. Ebadzadeh, Christian Darlot, "A system-level mathematical model of basal ganglia motor-circuit for kinematic planning of arm movements", Computers In Biology and Medicine, 2017 Nov vol. 0, no. 0, pp.1-18, 2017.

A. Salimi Badr, M.M. Ebadzadeh, Christian Darlot, "A possible correlation between the basal ganglia motor function and the inverse kinematics calculation", Journal of Computational Neuroscience, 2017 Oct vol. 0, no. 0, pp.1-24, 2017.

A. Salimi Badr, M.M. Ebadzadeh, Christian Darlot, "Fuzzy neuronal model of motor control inspired by cerebellar pathways to online and gradually learn inverse biomechanical functions in the presence of delay", Biological Cybernetics, 2017 Oct vol. 0, no. 0, pp.1-18, 2017.

H. Ganji Arjenaki, Shahram Khadivi, M.M. Ebadzadeh, "Support vector-based fuzzy classi?er with adaptive kernel", Neural Computing and Applications, 2017 Sep vol. 0, no. 0, , 2017.

Solmaz Gheisari, M.R. Meybodi, M. Dehghan Takht Fooladi, M.M. Ebadzadeh, "Bayesian Network Structure Training based on a Game of Learning Automata", International Journal of Machine Learning and Cybernetics, 2017 Aug vol. 8, no. 4, pp.1093-1105, 2017.

Z. Zojaji, M.M. Ebadzadeh, "An Improved Semantic Schema Modeling for Genetic Programming", Soft Computing, 2017 Aug vol. 0, no. 0, , 2017.

Z. Zojaji, M.M. Ebadzadeh, "Semantic Schema Modeling for Genetic Programming using Clustering of Building Blocks", Applied Intelligence, 2017 Aug vol. 0, no. 0, , 2017.

M. Amirhaeri, M.M. Ebadzadeh, Gianluigi Folino, "Statistical Genetic Programming for Symbolic Regression", Applied Soft Computing, 2017 Jul vol. 0, no. 0, , 2017.

M.M. Ebadzadeh, A. Salimi Badr, "IC-FNN: A Novel Fuzzy Neural Network with Interpretable Intuitive and Correlated-Contours Fuzzy Rules for Function Approximation", Ieee Transactions On Fuzzy Systems, 2017 Jul vol. 0, no. 0, , 2017.

Samareh, S. Khoshrou, K. Shahriar, M.M. Ebadzadeh, Eslami, "Optimization of a nonlinear model for predicting the ground vibration using the combinational particle swarm optimization-genetic algorithm", Journal of African Earth Sciences, 2017 May vol. 0, no. 0, pp.36-45, 2017.

L. Pourmohammad Bagher Esfahani, M.M. Ebadzadeh, R. Safabakhsh, "Graphical model based continuous estimation of distribution algorithm", Applied Soft Computing, 2017 May vol. 58, no. 0, pp.388-400, 2017.

A. Jafari, M.M. Ebadzadeh, R. Safabakhsh, "Independent Base Vector Representation to Address Endmember Variability in Hyperspectral Unmixing", Photonirvachak-Journal of The Indian Society of Remote Sensing, 2016 Jul vol. 0, no. 0, pp.1-13, 2016.

Akhlaghi, M. Dehghan Takht Fooladi, M.M. Ebadzadeh, "Imprecise-Query Processing in Wireless Sensor Networks: A Fuzzy-based Approach", International Journal of Ad Hoc and Ubiquitous Computing, 2016 May vol. 22, no. 1, pp.14-34, 2016.

B. Moradabadi, M.M. Ebadzadeh, M.R. Meybodi, "A new real-coded stochastic Bayesian optimization algorithm for continuous global optimization", Genetic Programming and Evolvable Machines, 2016 Apr vol. 0, no. 0, pp.1-23, 2016.

A. Jafari, R. Safabakhsh, M.M. Ebadzadeh, "Endmember orthonormal mapping in hyperspectral mixture analysis to address endmember variability", Earth Science Informatics, 2016 Mar vol. 0, no. 0, pp.1-17, 2016.

Solmaz Gheisari, M.R. Meybodi, M. Dehghan Takht Fooladi, M.M. Ebadzadeh, "BNC-VLA: Bayesian Network Structure Learning Using a Team of Variable-Action Set Learning Automata", Applied Intelligence, 2016 Feb vol. 45, no. 1, pp.135-151, 2016.

Gheisari, M.R. Meybodi, M. Dehghan Takht Fooladi, M.M. Ebadzadeh, "Bayesian network structure training based on a game of learning automata", International Journal of Machine Learning and Cybernetics, 2016 Jan vol. 0, no. 0, pp.1-13, 2016.

Babak Nasiri, M.R. Meybodi, M.M. Ebadzadeh, "History-Driven Particle Swarm Optimization in Dynamic and Uncertain Environments", Neurocomputing, 2016 Jan vol. 172, no. 0, pp.356-370, 2016.

M. Asadi Eydivand, M.M. Ebadzadeh, M. Solati, Christian Darlot, Noor Azuan Abu Osman, "Cerebellum-inspired neural network solution of the inverse kinematics problem", Biological Cybernetics, 2015 Oct vol. 0, no. 0, pp.1-14, 2015.

H. Malek, M.M. Ebadzadeh, R. Safabakhsh, "Dynamics of the HPA axis and inflammatory cytokines: Insights from mathematical modeling", Computers In Biology and Medicine, 2015 Oct vol. 1, no. 1, pp.1-1, 2015.

Z. Zojaji, M.M. Ebadzadeh, "Semantic schema theory for genetic programming", Applied Intelligence, 2015 Jul vol. 0, no. 0, pp.1-21, 2015.

M.M. Ebadzadeh, A. Salimi Badr, "CFNN: Correlated fuzzy neural network", Neurocomputing, 2015 Jan vol. 148, no. 1, pp.430-444, 2015.

M. Amir Haeri, M.M. Ebadzadeh, Folino, "Improving GP generalization: a variance-based layered learning approach", Genetic Programming and Evolvable Machines, 2014 May vol. 0, no. 0, , 2014.

M. Haddan Zadeh Mofrad, M.R. Meybodi, M.M. Ebadzadeh, "A Learning Automata Approach to Cooperative Particle Swarm Optimizer", Journal of Information Systems and Telecommunication, 2014 Mar vol. 2, no. 1, pp.1-14, 2014.

M. Amir Haeri, M.M. Ebadzadeh, "Estimation of mutual information by the fuzzy histogram", Fuzzy Optimization and Decision Making, 2014 Feb vol. 0, no. 0, pp.1-12, 2014.

M. Haddan Zadeh Mofrad, M.R. Meybodi, M.M. Ebadzadeh, "Adaptive cooperative particle swarm optimizer", Applied Intelligence, 2013 Sep vol. 39, no. 2, pp.397-420, 2013.

A. Nikababdi, M.M. Ebadzadeh, R. Safabakhsh, "A competitive clustering particle swarm optimizer for dynamic optimization problems", Swarm Intelligence, 2012 Sep vol. 6, no. 3, pp.177-206, 2012.

Z. Zamanzadeh Darban, M.M. Ebadzadeh, "Anatomical Model of VOR Using Fuzzy Neural Network", Procedia Engineering, 2012 Sep vol. 41, no. 1, pp.561-566, 2012.

Cheheltani, M.M. Ebadzadeh, "Immune based fuzzy agent plays checkers game", Applied Soft Computing, 2012 Mar vol. 0, no. 0, , 2012.

H. Omranpour Bandpey, M.M. Ebadzadeh, S. Shiry Ghidary, "Dynamic Particle Swarm Optimization for Multimodal Function", International Journal of Artificial Intelligence, 2012 Mar vol. 1, no. 1, pp.1-10, 2012.

H. Malek, M.M. Ebadzadeh, M. Rahmati, "Three new fuzzy neural networks learning algorithms based on clustering, training error and genetic algorithm", Applied Intelligence, 2011 Dec vol. 35, no. 3, pp.1-12, 2011.

Javanmard, M.M. Ebadzadeh, "Data Clustering Using A New CGA(Chaotic-Generic Algorithm) Approach", Journal of Advances In Computer Research, 2011 Mar vol. 3, no. 3, pp.59-70, 2011.

A. Nikababdi, M.M. Ebadzadeh, R. Safabakhsh, "A Novel Particle Swarm Optimization Algorithm with Adaptive Inertia Weight", Applied Soft Computing, 2011 Feb vol. 11, no. 4, pp.3658-3670, 2011.

M.M. Ebadzadeh, "Immune Based Approach to Find Mixed Nash Equilibrium in Normal Games", Journal of Applied Sciences, 2010 Feb vol. 10, no. 6, , 2010.

O. Khayat, M.M. Ebadzadeh, "A novel hybrid algorithm for creating self-organizing fuzzy neural networks", Neurocomputing, 2009 Dec vol. 0, no. 73, , 2009.

H. Izadinia, F. Sadeghi, M.M. Ebadzadeh, "A novel multi-epitopic immune network model hybridized with neural theory and fuzzy concept", Neural Networks, 2009 Aug vol. 0, no. 22, , 2009.

E. Khadangi, M.M. Ebadzadeh, "An expert system for predicting longitudinal dispersion coefficient in natural streams by using ANFIS", Expert Systems With Applications, 2009 May vol. 0, no. 36, , 2009.

Rodolphe J.gentili, M.M. Ebadzadeh, "Integration of Gravitational Torques in Cerebellar Pathways Allows for the Dynamic Inverse Computation of Vertical Pointing Movements of a Robot Arm", Plos One, 2009 Apr vol. 0, no. 4, , 2009.

S. Nourashrafeddin, A.R. Vahdat, M.M. Ebadzadeh, "Automatic Design of Modular Neural Networks Using Genetic Programming", Lecture Notes In Computer Science, 2007 Sep vol. 4668, no. 1, pp.788-798, 2007.

M. Khosraviani, S. Pourmozafari, M.M. Ebadzadeh, "Convergence Analysis of Quantum Genetic Algorithm", International Journal of Computer Science and Applications, 2007 Aug vol. 1, no. 2, pp.78-80, 2007.

M.M. Ebadzadeh, "Computation of inverse functions in a model of cerebellar and reflex pathways allows to control a mobile mechanical segment", Neuroscience, 2005 Apr vol. 0, no. 133, , 2005.

M.M. Ebadzadeh, "Cerebellar Learning of Bio-Mechanical Functions of Extra-Ocular Muscles:Modeling by Artificial Neural Networks", Neuroscience, 2003 Dec vol. 0, no. 122, , 2003.

Conference Papers

M.M. Ebadzadeh, "Scalable Fuzzy Neural Networks (SFNN) for Multi-Output Human Activity Recognition,", 2025 IEEE International Conference on Fuzzy Systems, Jul 2025.

N. Mohammadpourzeroumi, M. Fozi, M.M. Ebadzadeh, A. Azimi, A. Kamalie Iglie, "Proximal Policy Optimization with Adaptive Generalized Advantage Estimate,", The First International Conference on Machine Learning and Knowledge Discovery (MLKD 2024), Dec 2024.

S. Halat, M.M. Ebadzadeh, "Modified Double-DQN: addressing stability,", 2024 11th International Symposium on Telecommunications (IST), Oct 2024.

Y. Madadi, M.M. Ebadzadeh, "Unsupervised Transfer Learning For Face Recognition,", اولین کنفرانس بین المللی چشم ندازهای نو در مهندسی برق و کامپیوتر, Sep 2016.

S.S. Mousavi Astarabadi, M.M. Ebadzadeh, "Avoiding Overfitting in Symbolic Regression Using the First Order Derivative of GP Trees,", Genetic and Evolutionary Computation Conference, Jul 2015.

Mohammad Hasanzadeh, M.R. Meybodi, M.M. Ebadzadeh, "Adaptive Parameter Selection in Comprehensive Learning Particle Swarm Optimizer,", 2013 CSI International Symposium on Artificial Intelligence and Signal Processing (AISP), Dec 2013.

M. Amir Haeri, M.M. Ebadzadeh, Gianluigi Folino, "Statistical Genetic Programming: The Role of Diversity,", 17th World Conference on Soft Computing in Industrial Applications, Dec 2012.

H. Izadinia, M.M. Ebadzadeh, "Adaptive Quantum-inspired Evolution Strategy,", IEEE Congress on Evolutionary Computation, Jun 2012.

F. Einabadi, M.M. Ebadzadeh, "Multiscale Gradient Based Swarm Optimizer,", 16th CSI International Symposium on Artificial Intelligence and Signal Processing, May 2012.

Mohammad Hassanzadeh, M.R. Meybodi, M.M. Ebadzadeh, "A Robust Heuristic Algorithm for Cooperative Particle Swarm Optimizer: A Learning Automata Approach,", 20th Iranian Conference on Electrical Engineering (ICEE 2012), May 2012.

Moradi, M.M. Ebadzadeh, Farahi, "Clustering,", Data mining conference, Dec 2011.

Ahmadi, Javadi, Khansefid, A. Assadi, M.M. Ebadzadeh, Timmerman, "Fuzzy decision tree learning for preoperative classification of adnexal masses,", International Conference on Health Informatics HEALTHINF 2011, Dec 2011.

Sharifi, Moghadam, Bobillo, M.M. Ebadzadeh, "A fuzzy framework for Semantic Web Service description, matchmaking, ranking and selection,", Eighth International Conference on Fuzzy Systems and Knowledge Discovery FSKD 2011, Jul 2011.

M. Alizadeh, M.M. Ebadzadeh, "Kernel evolution for support vector classification,", IEEE Workshop on Evolving and Adaptive Intelligent Systems EAIS 2011, Apr 2011.

Shahamatnia Ehsan, M.M. Ebadzadeh, "Application of particle swarm optimization and snake model hybrid on medical imaging,", IEEE Third International Workshop On Computational Intelligence In Medical Imaging (CIMI), 2011, Apr 2011.

Sude Tavasoli, Mahbubeh Yaqubi, Alireza Rezvanian, M.M. Ebadzadeh, "Enhancement of Ear Verification System Performance Using a New Hybrid Denoising Approach,", First International Conference on Integrated Intelligent Computing ICIIC 2010, Aug 2010.

Ali Etemadi, M.M. Ebadzadeh, Mehdi Etemadi, "Identifying the best attributes for Decision Tree Learning Algorithms, inspired by DNA concepts, in computer science,", 3rd International Conference on Advanced Computer Theory and Engineering ICACTE 2010, Aug 2010.

Etemadi, M.M. Ebadzadeh, Mohamad Etemadi, "Finding the isomorphic graph with the use of algorithms based on DNA,", 3rd International Conference on Advanced Computer Theory and Engineering ICACTE 2010, Aug 2010.

Fernando Bobillo, Ehsan Sharifi, M.M. Ebadzadeh, Reza Moghadam, "On Fuzzy Semantic Web Services,", IEEE International Conference on Fuzzy Systems WCCI 2010, Jul 2010.

Rahman Arshizadeh, M.M. Ebadzadeh, "Fuzzy External Force for Snake,", 7th International Conference on Information Technology ITNG 2010, Apr 2010.

Sude Tavasoli, Alireza Rezvanian, M.M. Ebadzadeh, "A New Method for Impulse Noise Reduction from Digital Images Based on Adaptive Neuro-Fuzzy System and Fuzzy Wavelet Shrinkage,", 2nd International Conference on Computer Engineering and Technology ICCET 2010, Apr 2010.

M. Movahedi Meimandi, M. Zamani, H. Pedram, M.M. Ebadzadeh, "A DDoS aware IDS model based on danger theory and mobile agents,", International Conference on Computational Intelligence and Security CIS, Dec 2009.

M.M. Ebadzadeh, "Quantum-Inspired Evolution Strategy,", International Conference of Soft Computing and Pattern Recognition SOCPAR., Dec 2009.

M.M. Ebadzadeh, "Introduce a New Inertia Weight for Particle Swarm Optimization,", Fourth International Conference on Computer Sciences and Convergence Information Technology ICCIT., Nov 2009.

M.M. Ebadzadeh, "Fast and parsimonious self-organizing fuzzy neural network,", 14th International CSI Computer Conference CSICC, Oct 2009.

H. Izadinia, F. Sadeghi, M.M. Ebadzadeh, "Fuzzy generalized hough transform invariant to rotation and scale in noisy environment,", IEEE International Conference on Fuzzy Systems, Aug 2009.

H. Izadinia, F. Sadeghi, M.M. Ebadzadeh, "A hybrid fuzzy neuro immune network based on multi epitope aooroach,", International Joint Conference on Neural Network, Jun 2009.

E. Khadangi, G.H. Riahy Dehkordi, M.M. Ebadzadeh, "Comparison of ANFIS and RBF models in daily stream flow forecasting,", The Second IEEE International Conference on Computer Control and Communication, Feb 2009.

A. Nikabadi, M.M. Ebadzadeh, R. Safabakhsh, "Evaluation the performance of DNPSO in dynamic environments,", IEEE International Conference on Systems, Man and Cybernetics SMC, Oct 2008.

H. Omranpour Bandpey, M.M. Ebadzadeh, "Distributed coloring of the graph edges,", 7th IEEE International Conference on Cybernetic Intelligent Systems CIS, Sep 2008.

F. Abtahi, M.R. Meybodi, M.M. Ebadzadeh, "Learning Automata-based Co-evolutionary Genetic Algorithms for Function Optimization,", 6th International Symposium on Intelligent Systems and Informatics SISY, Sep 2008.

A. Nikabadi, M.M. Ebadzadeh, R. Safabakhsh, "DNPSO: a dynamic niching particle swarm optimization for multi model optimization,", IEEE Congress on Evolutionary Computation CEC, Jun 2008.

M. Khosraviani, S. Pourmozafari, M.M. Ebadzadeh, "Convergence Analysis of Quantum Genetic Algorithm,", IEEE International Conference on Autonomic Computing, Jun 2008.

P. Moradi Dowlatabadi, M.E. Shiri Ahmad Abady, M.M. Ebadzadeh, "Personalizing results of information retrieval systems using extended fuzzy concept networks,", 3rd International Conference on Information and Communication Technology, Apr 2008.

M.M. Ebadzadeh, "Convergence analysis of quantum genetic algorithms,", International Conference on Advances in Computing ICAC, Feb 2008.

M. Khosraviani, S. Pourmozafari, M.M. Ebadzadeh, "Convergence Analysis of Quantum-inspired Genetic Algorithm with the Population of a Single Individual,", Proceedings of the 10th annual conference on Genetic and evolutionary computation, Feb 2008.

S. Kasiri Bidhendi, A. Sarraf Shirazi, N. Fotouhi Baraghoush, M.M. Ebadzadeh, "Material classification of hyperspectral images using unsupervised fuzzy clustering methods,", Third International IEEE Conference on Signal-Image Technologies and Internet-Based Systems SITIS, Dec 2007.

S.M. Hosseini Sedehi, M.M. Ebadzadeh, M.R. Meybodi, "A new hybrid algorithm for noisy optimization (Learning automata + genetic algorithm),", Nov 2007.

P. Moradi Dowlatabadi, M.E. Shiri Ahmad Abady, M.M. Ebadzadeh, "Personalized results of search engines using fuzzy concept networks,", IDMC 2007, Nov 2007.

S. Nourashrafeddin, A. Vahdat, M.M. Ebadzadeh, "Automatic design of modular neural networks using genetic programming,", International Conference on Artificial Neural Network ICANN, Sep 2007.

E. Pazouki, M.M. Ebadzadeh, "Designing classifier for multiclass problem by genetic programming,", Aug 2007.

A.H. Haj Ahmadi, M.M. Ebadzadeh, "Noise robust image segmentation,", Feb 2007.

Taught Courses

Course title

Description

Headlines

Date

Meta-Heuristic Optimization

4051

Principles of Computational Intelligence

تعریف هوش محاسباتی و معرفی ابزارهای ان و کاربرد انها در مسائل کاربردی

4042

Deep Reinforcement Learning

استفاده از یادگیری عمیق در یادگیری تقویتی

4042

Principles of Computational Intelligence

4041

Meta-Heuristic Optimization

4041

(Deep Reinforcement Learning)

4032

Principles of Computational Intelligence

4032