Paul Gavrikov
Biography
Paul Gavrikov is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in fundamental deep learning research. His research focuses on interpretability, robustness, generalization, and biases in the vision of multi-modal models.
He earned his PhD in Business Informatics from the University of Mannheim, and his MSc and BSc in Computer Science from the University of Freiburg, Germany. Before joining KAUST in 2026, he was a postdoc at the Tübingen AI Center.
Expertise and Interests
Paul is mainly interested in interpretability, robustness, generalization, and biases in the vision of multi-modal models.
About
Paul Gavrikov is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in fundamental deep learning research. His research focuses on interpretability, robustness, generalization, and biases in the vision of multi-modal models.
Professional Profile
Service Contributions
- Service to the Discipline or Profession
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Mentoring students, Organizer CV4Edu Workshop at CVPR, 2026 - present
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Awards and Distinctions
- Top 20 in Robustness Challenge, CVPR 2022, The Art of Robustness Workshop, 2022
- Best Paper Award, IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob), 2019
Education
- Doctor of Philosophy (Ph.D.)
- Business Informatics, University of Mannheim, Germany, 2025
- Master of Science (M.S.)
- Computer Science, University of Freiburg, Germany, 2018
- Bachelor of Science (B.S.)
- Computer Science, University of Freiburg, Germany, 2016