Majid Sohrabi

Lecturer, Research Assistant, HSE University (click here )

Bio: Majid Sohrabi received his B.Sc. in Computer Science at the Department of Computer Science at the University of Science and Technology of Mazandaran in 2017, and his M.Sc. in Data Science at the Department of Data Analysis and Artificial Intelligence at the National Research University Higher School of Economics, Moscow in 2022. He is an instructor and research assistant at the Faculty of Computer Science in the Department of Data Analysis and Artificial Intelligence and Laboratory for Models and Methods of Computational Pragmatics at HSE University, respectively. His research interests include Medical Data Analysis, Data Analysis in Healthcare, Data Mining, Machine Learning, and Deep Learning.

Education.

2022 - Present

PhD in Computer Science, National Research University Higher School of Economics

- Thesis: "Speciation in Genetic Algorithm with Interplay Among Species", Supervisor: Prof. Vasiili Gromov

2020 - 2022

MSc in Data Science, National Research University Higher School of Economics

- Term Paper: "Globally Optimal Decision Algorithms for Machine Learning", Supervisor: Prof. Oleg Pianykh

- Thesis: "Physics-Informed Neural Networks for Medical Diagnostics", Supervisor: Prof. Vasiili Gromov

2013 - 2017

BSc in Computer Science, University of Science and Technology of Mazandaran

Research.

Liquid Neural Networks: Medical Applications

Multi-Model Methods for Drug-Drug Interaction Extraction using Textual and Structural Data

Genetic Engineering Algorithm (GEA), a Modified Version of Genetic Algorithm

Selected Publication.

[1] Gromov, V.A., Zvorykina, E.I., Beschastnov, Y.N., Sohrabi, M. (2024). Date-Driven Approach for Identifying State of Hemodialysis Fistulas: Entropy-Complexity and Formal Concept Analysis. In: Ignatov, D.I., et al. Recent Trends in Analysis of Images, Social Networks and Texts. AIST 2023. Communications in Computer and Information Science, vol 1905. Springer, Cham. https://doi.org/10.1007/978-3-031-67008-4_19

[2] Sohrabi, M., Fathollahi-Fard, A.M. & Gromov, V.A. Genetic Engineering Algorithm (GEA): An Efficient Metaheuristic Algorithm for Solving Combinatorial Optimization Problems. Autom Remote Control 85, 252–262 (2024). https://doi.org/10.1134/S000511792403007X

[3] Majid Sohrabi, Ilia Abolhasani, Mostafa Hajiaghaei-Keshteli (2017) "Solving the Allocation of Customers to Potential Distribution Centers in Supply Chain Networks by GA, KA, SA", The 10th International Conference of Iranian Operations Research Society, University of Babolsar, Babolsar, Iran.

[4] Malihe Danesh, Ilia Abolhasani, Majid Sohrabi (2018) "Using Improved ANFIS Based Whale Optimization Algorithm for SmartPhone Malware Detection", The 5th International Conference Electrical Engineering and Computer with Emphasis on Native Knowledge, Allameh Tabatabai University, Tehran, Iran. (In Persian)

Teaching.

Fall 2024

Machine Learning and Data Mining
Machine Learning
Data Analysis and Mining
Statistics for Social Science

Winter 2024

Introduction to Programming in Python
Deep Learning
Applied Quantitative Logistics
Combinatorics, Graph, Boolean Logics

Fall 2023

Machine Learning and Data Mining
Time Series Analysis and Forecasting
Modern Digital Technologies of Text Analysis
Programming in Python
Mentor's Seminar "Population and Development"

Fall 2022

Time Series Analysis and Forecasting
Modern Digital Technologies of Text Analysis
Introduction to Programming in R and Python

Winter 2023

Analysis and Visualization of Networks
Applied Quantitative Logistics
Combinatorics, Graph, Boolean Logics

Previously Taught

Fundamentals of Computer Programming
Advance Computer Programming

Contact.

Mail:

msohrabi [at] hse [dot] ru

Phone:

+7 (929) ***-**-**

Address:

Room S940, 11 Pokrovsky Bulvar, Pokrovka Complex, Moscow, Russia.