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 - 2010

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