Curriculum vitae
Mohammad Sabokrou · Associate Professor, New Uzbekistan University · Visiting Researcher, OIST, Japan.
Current appointments
- Associate Professor, Department of Artificial Intelligence, School of Computing, New Uzbekistan University, Tashkent, Uzbekistan. Faculty profile
- Visiting Researcher, Okinawa Institute of Science and Technology (OIST), Japan.
Research
Machine learning and computer vision for trustworthy AI, including anomaly and novelty detection, out-of-distribution detection, adversarial robustness, AI safety and security, continual learning, and vision-language models. Research and projects
Education
PhD in Artificial Intelligence, Malek-Ashtar University of Technology, Tehran, Iran, 2017. Academic biography
Earlier research experience
- Staff Scientist at OIST, Machine Learning and Data Science Unit.
- AI research leadership and postdoctoral research at the Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.
- Visiting research at the University of Oulu, Finland, and the University of Technology of Troyes, France.
Selected research funding
- Breaking Boundaries: Robust, Domain-General Anomaly Detection with VLMs. Principal Investigator, JSPS KAKENHI Scientific Research (B), April 2026 - March 2030. Total award: JPY 18,330,000. Grant 26K02988
- Investigating the Trustworthiness of Deep Pre-trained and Self-supervised Learned Model. Principal Investigator, JSPS KAKENHI Early-Career Scientists, April 2024 - March 2026. Total award: JPY 4,680,000. Grant 24K20806
Selected publications
- CRANE: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection - BMVC 2026.
- FrameShield: Adversarially Robust Video Anomaly Detection - NeurIPS 2025.
- A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection - TMLR 2022.
Selected publications · Complete list on Google Scholar
Teaching
- Data Science Fundamentals and Computer Vision, New Uzbekistan University, Fall 2026.
- Deep Learning, Istanbul Technical University, Fall 2025.
- Deep Learning and Advanced Topics in AI, IPM, 2019-2021.
- AI Safety and Security, Iran University of Science and Technology, 2019.
Academic service
Area Chair for ICLR (2025, 2026, 2027), NeurIPS (2026), and BMVC (2026). Reviewer and program committee member for major machine-learning and computer-vision conferences and journals. Academic service · Invited talks
Industry collaboration
Research-informed technical advice on AI reliability, safety, computer vision, anomaly detection, technical due diligence, and focused proofs of concept. Consulting