Armen Beklaryan
- Associate Professor: Faculty of Computer Science / Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
- Expert: Faculty of Computer Science / Continuing Education Centre
- Armen Beklaryan has been at HSE University since 2013.
Education and Degrees
Higher School of Economics
Thesis Title: Agent-based model of crowd behavior in an emergency situation for evaluating intensity of the output flow front
HSE University, Department of Business Analytics
Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Continuing education / Professional retraining / Internships / Study abroad experience
- AIX 6 Jumpstart for UNIX Professionals, IBM program "Academic Initiative", 2013
- Learning Mathematical Programming for IBM ILOG CPLEX Optimization Studio V12.2, IBM program "No-Charge SVPC for Business Partners", 2013
- Model Development with IBM ILOG CPLEX Optimization Studio V12.2, IBM program "No-Charge SVPC for Business Partners", 2013
- Bases of organization and conducting of training courses in system LMS eFront, NRU HSE, 2013
- Simulation modeling and its business applications in the IDE AnyLogic, NRU HSE, 2015
- Essentials for IBM Cognos BI (v10.2.2), QDTS Training Center, 2015
- Risk management, ISMM, 2016
- Modern machine learning and methods of teaching data analysis, NRU HSE, 2018
- Presentation of information and data. Creating presentations, NRU HSE, 2020
- Huawei Certified ICT Associate Artificial Intelligence (HCIA-AI) V3.0, HUAWEI, 2020
- Huawei Certified Academy Instructor (HCAI), HUAWEI, 2020
- Information technology for digital business transformation, NRU HSE, 2021
- Summer digital school. Track "Data Science", Sberbank Corporate University, 2023
Awards and Accomplishments
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Winner of the All-Russian competition "Golden Names of Higher Education" (2021) in the nomination "Young scientific and pedagogical talents"
Best Teacher — 2016–2024, 2014
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "Future Professoriate" (2019–2020)
Category "New Lecturers" (2014–2015)Best Academic Supervisor in the category ‘Student Engagement in Inter-Campus and Inter-Faculty Activities’ — 2023–2024
Best Academic Supervisor in the category ‘Student Digital Skills’ — 2024
Best Academic Supervisor in the category ‘International Admissions’ — 2023
Best Academic Supervisor in the category ‘Student Engagement with External Customers’ — 2023
Best Academic Supervisor in the category ‘Student Recruitment’ — 2023