Mohammad Sabokrou
Trustworthy Machine Learning

Trustworthy AI, Machine Learning, and Computer Vision

I am an Associate Professor at New Uzbekistan University and a Visiting Researcher at the Okinawa Institute of Science and Technology (OIST), Japan. My research focuses on trustworthy machine learning, anomaly detection, out-of-distribution detection, continual learning, and AI robustness. Previously, I led AI research initiatives at the Institute for Research in Fundamental Sciences (IPM) in Tehran, Iran, and worked as a Senior Researcher in Finland and France, including at the Center for Machine Vision and Signal Analysis (CMVS). My work bridges machine learning foundations and practical robustness for reliable, secure, and effective AI systems.

View Publications Collaborate With Me
New Uzbekistan University campus in Tashkent
New Uzbekistan University Associate Professor · Tashkent, Uzbekistan
OIST campus in Okinawa, Japan
Okinawa Institute of Science and Technology (OIST) Visiting Researcher · Okinawa, Japan
Campus photos: New Uzbekistan University · OIST / CC BY 2.0

Research Interests

  • Trustworthy machine learning
  • Anomaly detection & out-of-distribution detection
  • Continual and lifelong learning
  • Robustness, safety, and reliability in AI

Open Positions

I welcome applications from highly motivated researchers interested in trustworthy machine learning, anomaly detection, AI safety, and robust computer vision, including students, interns, postdoctoral researchers, and visiting researchers interested in collaborating across my academic affiliations.

Applications for technician positions, postdoctoral positions, internships, and visiting researcher positions are welcome at the relevant host institution. Applicants with publications in top-tier conferences or journals are especially encouraged to apply. Applicants with publications in top-tier conferences or journals are especially encouraged to apply.

To apply, please send your CV, research interests, and selected publications to mohammad.sabokrou@oist.jp.

Selected Research Projects

  • Investigating the Trustworthiness of Deep Pre-trained and Self-Supervised Models
    2024–2028 · ¥4,680,000 · Grant-in-Aid for Early-Career Scientists
  • Breaking Boundaries: Robust, Domain-General Anomaly Detection with Vision-Language Models
    2026–2030 · ¥18,330,000 Grant-in-Aid for Scientific Research (B) (KAKENHI B)
  • AI Safety and Security for Classical AI Models
    Institute for Research in Fundamental Sciences (IPM)

Selected News

  • 9 August 2026: Paper accepted at BMVC 2026, the British Machine Vision Conference, on robust and trustworthy computer vision / anomaly detection.
  • 8 August 2026: Joined New Uzbekistan University as an Associate Professor.
  • Area Chair, NeurIPS 2026.
  • Awarded JSPS KAKENHI (Scientific Research B), 2026–2030.
  • Area Chair, BMVC 2026.
  • Two papers accepted at NeurIPS 2025.
  • Area Chair, ICLR 2026.
  • Paper accepted at ICLR 2025 on adversarially robust anomaly detection.
  • Paper accepted to TMLR on stealthy backdoor attacks via confidence-driven sampling.
  • Paper accepted at NeurIPS 2024 on scanning trojaned models using out-of-distribution samples.

Academic Service to the Community

Area Chair

Reviewer / Program Committee

Organization

Do You Need a Recommendation Letter?

If you would like to request a recommendation letter from me, please review the required information and submission guidelines before contacting me.

Recommendation Letter Guidelines