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Aleksandr Petiushko

Aleksandr PetiushkoAdjunct Faculty

Biography:

Dr. Aleksandr Petiushko is an Adjunct Professor at Sofia University (Palo Alto, California) teaching courses on ML and AI, and a lecturer at Lomonosov MSU and MIPT, giving lectures on the Theory of Deep Learning. In addition, Aleksandr is leading ML Research team at Autonomous Driving company. Prior to it, he worked as a Scientific Expert, Chief Scientist, Leading Scientific Researcher, and Managing Director at different Research organizations. His Ph.D. dissertation is at the intersection of Discrete Mathematics and Computer Linguistics. His research interests lie in the applications of empirical and theoretical robustness (publications at ECCV, IJCAI, AAAI, CVPR, NeurIPS).

Dr. Aleksandr Petiushko has a proven record of running and managing industrial research and academic collaboration (35+ publications, 30+ patents), and hiring and transforming AI/ML teams. Aleksandr is inspired by theoretical computer science and how it changes the world.

University Email: alex.petiushko@sofia.edu

Faculty Type: Adjunct Faculty

Program: MSCS

Education: Doctor of Philosophy in Theoretical Computer Science

More faculty members:

Dorote Weyers-Lucci, Ph.D.Faculty: Bachelor's Completion, Global College, Master of Business Administration

Simone M. DiMatteo, Ph.D.MBA Program Chair and Core Faculty

Jennifer M. Crane, LMFTProgram Chair

Michelle M. Daly, PhD, LPCC, ATR, IMH-EProfessor

Jeng-Dau James Wu, DBAProfessor: MA of Business Administration

Robert Wood, PhD.Sofia Core Faculty, Chair-Transpersonal Studies

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Aleksandr Petiushko

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