Seungmin Jin
- Associate Professor: HSE Graduate School of Business / Department of Business Informatics
- Senior Research Fellow: Faculty of Computer Science / International Laboratory for Intelligent Systems and Structural Analysis
- Seungmin Jin has been at HSE University since 2024.
Education and Degrees
2023
Doctoral programmeHSE University
2018
Master'sHSE University
* Candidate of Sciences
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.
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.
Awards and Accomplishments
- Best Teacher — 2026
Courses (2026/2027)
- Machine Learning and Recommender Systems (Master’s programme; HSE Graduate School of Business field of study Business Informatics; 2 year, 1, 2 module)Eng
- Machine Learning and Recommender Systems (Mago-Lego; HSE Graduate School of Business; 1, 2 module)Eng
- Recommender Systems (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Eng
- Recommender Systems (Master’s programme; HSE Graduate School of Business field of study Business Informatics; 2 year, 1, 2 module)Eng
- Recommender Systems (Mago-Lego; Faculty of Computer Science)Rus
- Recommender Systems (Mago-Lego; HSE Graduate School of Business)Rus
- Research Seminar "Latest Trends in Data Governance, Big Data Analytics & Data Architecture" (Master’s programme; HSE Graduate School of Business field of study Business Informatics; 2 year, 2, 3 module)Eng
- Past Courses
Courses (2025/2026)
- AI in business: technologies and solutions (Mago-Lego; HSE Graduate School of Business; 1, 2 module)Eng
- AI in business: technologies and solutions (Master’s programme; HSE Graduate School of Business field of study Business Informatics; 2 year, 1, 2 module)Eng
- Neural Networks and Deep Learning (Master’s programme; HSE Graduate School of Business field of study Business Informatics; 2 year, 1, 2 module)Eng
- Neural Networks and Deep Learning (Mago-Lego; HSE Graduate School of Business; 1, 2 module)Eng
- Neural Networks and Deep Learning (Mago-Lego; HSE Graduate School of Business; 3, 4 module)Eng
- Neural Networks and Deep Learning (Master’s programme; HSE Graduate School of Business field of study Business Informatics; 1 year, 3, 4 module)Eng
- Recommender Systems (Master’s programme; HSE Graduate School of Business field of study Business Informatics; 2 year, 1, 2 module)Eng
- Recommender Systems (Mago-Lego; HSE Graduate School of Business; 1, 2 module)Eng
- Research Seminar "Big Data: Principles and Paradigms" (Master’s programme; HSE Graduate School of Business field of study Business Informatics; 1 year, 2, 3 module)Eng
- Research Seminar "Latest Trends in Data Governance, Big Data Analytics & Data Architecture" (Master’s programme; HSE Graduate School of Business field of study Business Informatics; 2 year, 2, 3 module)Eng
Courses (2024/2025)
- AI in business: technologies and solutions (Mago-Lego; 1, 2 module)Eng
- AI in business: technologies and solutions (Master’s programme; HSE Graduate School of Business field of study Business Informatics; 2 year, 1, 2 module)Eng
- Neural Networks and Deep Learning (Master’s programme; HSE Graduate School of Business field of study Business Informatics; 2 year, 1, 2 module)Eng
- Neural Networks and Deep Learning (Mago-Lego; 1, 2 module)Eng
- Recommender Systems (Mago-Lego; 1, 2 module)Eng
- Recommender Systems (Master’s programme; HSE Graduate School of Business field of study Business Informatics; 2 year, 1, 2 module)Eng
- Research Seminar "Big Data: Principles and Paradigms" (Master’s programme; HSE Graduate School of Business field of study Business Informatics; 1 year, 2, 3 module)Eng
- Research Seminar "Latest Trends in Data Governance, Big Data Analytics & Data Architecture" (Master’s programme; HSE Graduate School of Business field of study Business Informatics; 2 year, 2, 3 module)Eng
Courses (2023/2024)
- Mentor's Seminar (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1-4 module)Eng
Grants
- Winner of the Sino-Russian Mathematical Challenge Fund 2025 (Research Project Competition of the Sino-Russian Mathematical Problems Fund).
Employment history
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2024 – Present: HSE University (National Research University Higher School of Economics)
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2016 – 2024: Researcher, UNIST (Ulsan National Institute of Science and Technology), South Korea
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2015 – 2016: Researcher, Daumsoft (Social Mining & Big Data Company), South Korea
2
Jul
2025
‘The Cost of Making Mistakes Is Small, While the Experience Is Invaluable’
For the second year in a row, the Moscow Chamber of Commerce and Industry has held the Start a Business with Moscow international business school for students of Moscow Universities. Last year, Wang Yue, an HSE University student from China, became the winner of the project. On June 16, 2025, the finalists defended their projects and business ideas in front of business representatives and potential investors. This year, six students from HSE University made it to the finals. Ekaterina Leibel, second-year student of the master’s programme ‘Science of Learning and Assessment,’ whose project took third place, and Md Yeashin Arafat, first-year student of the master’s programme ‘Business Analytics and Big Data Systems,’ talk about their studies, project presentations, and future plans.