Scientific interests
- Mathematical and statistical models, artificial intelligence, machine learning, data science and behavioral models
Education
Institution
Yerevan State University
Faculty
Department of Physics
Date
-
Degree name
Qualified specialist
Scientific Rank/degree
Institution
Yerevan State University
Date
2017
Degree name
Professor
Specialty
Economic sciences
Institution
Yerevan State University
Date
2013
Degree name
Doctor
Specialty
Economic sciences
Research Topic
Modeling structural changes in transition countries using stochastic methods
Institution
Yerevan State University
Date
1997
Degree name
Candidate
Specialty
Physico-mathematical sciences
Scientific Supervisor
Hrant Matevosyan
Research Topic
Theory of polarization processes caused by the interaction of charged particles with plasma and plasma-like media
Language skills
諃铡盏榨謤榨斩
English
袪褍褋褋泻懈泄
Work experience
Institution
Yerevan State University, Business Incubator
Period of time
Rank/degree
Head
Institution
Yerevan State University, Economics Council 015
Period of time
Rank/degree
Chairman
Institution
Yerevan State University, faculty of Faculty of Economics and Management and Management, department of Mathematical modeling in Economics
Period of time
Rank/degree
Professor
Participation in international conferences and seminars
-
International conference "CHALLENGES OF SPIRITUTAL AND LEGAL BEHAVIOR CONTEMPORARY INDIVIDUAL AND IMPERATIVES OF THEIR OVERCOMING"
Pontificium Institutum Orientale
Italy
-
Research workshop at University of Cambridge, 鈥淓conometrics of Financial Markets鈥
University of Cambridge
United Kingdom of Great Britain and Northern Ireland (the)
State awards and honorary titles
2019
Golden medal of Yerevan State University
1993
Armenian Society of Physicists Award "Best Young Physicist of the Year"
Other information
Professor, Head of "Data Science for Business" Master Program, Yerevan State University;
Financial Risk Manager, FRM
Publications
Conference
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Conference
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Conference
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Conference
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Conference
REAL-TIME EMOTIONAL ENGAGEMENT DETECTION IN EDUCATION: A COMPUTER VISION APPROACH BASED ON FACIAL EXPRESSIONS