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Aleksandr Petiushko, PhDAdjunct Faculty

Biography:

Dr. Aleksandr Petiushko is an Adjunct Professor teaching courses on ML, AI, and the Theory of Deep Learning. In addition, Aleksandr is leading AI Research team at the Bay Area AI startup. Prior to it, he worked as a Head of ML Research, 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: MS in Computer Science

Education: Doctor of Philosophy in Theoretical Computer Science

More faculty members:

Dorote Weyers-Lucci, Ph.D.Chair, Doctor of Business Administration (DBA) and Leadership Program

Michelle M. Daly, PhD, LPCC, ATR, IMH-ECore Faculty

Jeng-Dau James Wu, DBAAdjunct Faculty

Robert Wood, PhD.Adjunct Faculty

Nancy (Ilana) Rowe, Ph.D.Core Faculty

Ted Esser, PhDCore Faculty

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