Konstantin Bauman

Dr. Konstantin Bauman is an Associate Professor in the Department of Management Information Systems at Temple University's Fox School of Business. He holds a PhD in Mathematics (Geometry and Topology) from Moscow State University and dual Master’s degrees in Mathematics and Machine Learning from prestigious Russian institutions. His research focuses on machine learning, data science, and context-aware recommender systems, emphasizing novel methods for predicting customer preferences and designing personalized recommendation frameworks.

Education:

• PhD in Mathematics (Geometry and Topology), Moscow State University
• MS in Mathematics, Moscow State University
• MS in Machine Learning, Moscow Institute of Physics and Technology/Yandex School of Data Analysis

Research Interests:

• Data Science and Analytics
• Machine Learning and Recommender Systems
• Context-Aware Systems and Text Mining
• Technology-Enhanced Learning

Recent Work Trends: His publications emphasize context-aware recommendation algorithms, privacy concerns in personalized systems, and applications of hyperbolic embeddings. He also explores device impact on employee feedback and cryptocurrency investor behavior using multimodal data analysis.

Awards: None explicitly listed in the provided materials.

Advising/Grants: No formal advisees listed; his work at Yandex and NYU involved leading machine learning teams and tackling large-scale data science challenges.

Labs/Teams: Active in the MIS department at Temple, contributing to research on adaptive learning systems and enterprise machine learning applications.