Meysam Ahangaran
Meysam Ahangaran

Meysam Ahangaran

Email:  ahangaran[at]gmail.com
Degree: Assistant Professor

 
Qualifications
B.Sc: Computer Engineering (Software), Sharif University of Technology - 2007
M.Sc: Computer Engineering (Artificial Intelligence), Sharif University of Technology - 2009
PhD: Computer Engineering (Artificial Intelligence), Iran University of Science and Technology - 2020
 
Research Interests
Cognitive Science
Machine Learning
Biomedical Engineering
Deep Learning
Soft Computing
Machine Vision
Data Mining
Algorithm Analysis
 
Honors and Awards

Innovative Researcher of the Year 2020 for Causal Analysis of ALS Disease with Machine Learning Approach from

World Research Council & United Medical Council

Editorial Board member of Journal of Autonomous Intelligence (JAI) - EnPress Publisher (2018-2019)

Editorial Board member of Journal of Progress in Human Computer Interaction (PHCI) – Whioce Publishing (2018-Now)

Reviewer of Journal of Biomedical Informatics (JBI) - Elsevier (2019-Now)

 
Previous and Present Positions
Head of Computer Engineering group at the Mazandaran University of Science and Technology (2015-2020)
 
Professional Membership
 
Teaching Experiences
Faculty member of computer science department at Mazandaran University of Science and Technology since 2009
Teacher Assistant: "Neural Networks" and "Evolutionary Algorithms" at Sharif University of Technology
Teaching: Artificial Intelligence, Machine learning, Biomedical informatics, Information theory, Data structures and algorithms, Algorithms analysis, Discrete Mathematics, Operating systems, Specific English for computer science, Automata and language theory
 
Publications
Journal Papers:


M. Ahangaran, M. R. Jahed-Motlagh, and B. Minaei-Bidgoli. "A Novel Method for Predicting the Progression Rate of ALS Disease Based on Automatic Generation of Probabilistic Causal Chains." Artificial Intelligence in Medicine (2020): 101879 (Impact Factor = 4.3)

M. Ahangaran, M. R. Jahed-Motlagh, B. Minaei-Bidgoli., 2018. Causal Discovery from Sequential Data in ALS Disease based on Entropy Criteria. Journal of Biomedical Informatics. (Impact Factor = 3.2)


Meysam Ahangaran, Nasrin Taghizadeh, Hamid Beigy, "Associative Cellular Learning Automata and its Applications", Applied Soft computing (2017), Volume 53, pp.1-18 (Impact Factor = 4)

Conference Papers:
1. Meysam Ahangaran and Hamid Beigy, "Cellular Learning Automata with external Input and Its Applications in Pattern Recognition", Fifth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, ICSCCW 2009

2. M. Ahangaran, H. Pourbozorg, M. Talebi, K. Soleymani, "Automatic Generation of University Course Timetabling Using Genetic Algorithm", 13th International Conference of Industrial Engineering, IIEC 2017

3. M.Seifolahzade, N.Chitgar, R.Abbasnejad, M.Ahangaran, "Applications of Big Data and Deep Learning in HealthCare Industry from Disease Detection to Cost Reduction", 13th International Conference of Industrial Engineering, IIEC 2017


Books:
M. Ahangaran, A. Chio,.Artificial Intelligence in Medicine (AIM), chapter AIM in Amyotrophic Lateral Sclerosis”, Springer Nature Publisher (2021)
 
Supervised Dissertations and Theses
 
Research Projects

Research on Causal Discovery of ALS disease based on machine learning methods (CRESLA dataset) at the department of Neuroscience-University of Turin-Italy-2018,Underway project

Research on new model of learning based on human memory features, in order to predict the behavior of people


ERP system development (offline management for advertisements) for HAMSHAHRI publication (2008) in DOURAN company
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