Welcome to my homepage, where I explore the fascinating blend of Computer Vision and Machine Learning. With a background in Artificial Intelligence, I've been involved in research endeavors focused on promoting trust and ethical standards in these areas. Currently, I am part of the MLDS unit at the Okinawa Institute of Science and Technology (OIST), under the mentorship of Prof. Makoto Yamada. Before joining OIST, I had the privilege of teaching and spearheading AI initiatives at the Institute for Research in Fundamental Sciences (IPM) in Tehran, Iran. Additionally, I've served as a Senior Researcher at esteemed institutions like the Center for Machine Vision and Signal Analysis (CMVS) in Finland and France.

Join Us

I am actively seeking new collaborators. If you are interested, please feel free to reach out to me via email at mohammad.sabokrou@oist.jp Additionally, we currently have open Postdoctoral positions and several internship opportunities available at MLDS. For the postdoctoral positions, a strong publication record in top journals and conferences such as ICML, ICLR, CVPR, ECCV, ICCV, IJCAI, T-PAMI, IJCV, JMLR, and TMLR is required.

Latest News

  • Our "Stealthy Backdoor Attack via Confidence-driven Sampling" paper has been accepted for publication in Transactions on Machine Learning Research (TMLR).
  • Our paper, titled "Scanning Trojaned Models Using Out-of-Distribution Samples," has been accepted for presentation at NeurIPS2024
  • I will serve as an Area Chair for ICLR 2025
  • We archived our new paper about "Knowledge Exposure method for Anomaly Detection"
  • My Kakenhi grant proposal (Early-career) has been accepted.
  • Two papers accepted for presentation at CVPR2024.
  • Our paper titled “Killing it with Zero-Shot: Adversarially Robust Novelty Detection” was accepted to ICASSP2024.
  • Our paper on mitigating background bias risk was accepted to ACML2024.

Research Interests

  • Machine Learning Trustworthines
  • Anomaly Detection/OOD detection
  • Continual Learning/lifelong learning

Students and Research Assistants

Postdoctoral Researchers

  • Dr. Fatemeh Aghaeipoor (2020-2023): Investigating XAI by focusing on Transformers
  • Dr. Zahra Rezvani (2020-2023): Local/Global Feature Analysis in CNNs

Interns

  • Solale Mohammadi - Sharif University: Semantic Backdoor Attack for Videos
  • Pengfei He - PhD student, University of Michigan: Sampling for Backdoor Attacks
  • Naghmeh Jamali - Master’s student, IPM: Backdoor Attack for NLP
  • Parsa Hosseini - Bachelor’s student, Sharif University: Brainwash Continual Learning
  • Laura Medinilla - PhD student at KAUST: AI for Genome Analysis
  • Jose Renato Restom Viera - PhD student at MBZUAI: Novelty Category Discovery
  • Alireza Salehi - Master’s student at University of Tehran: Investigating the Robustness of Anomaly Detection using VLM
  • Raha Ahmadi - Bachelor’s student, University of Amirkabir: Mitigating Bias for Image Classification
  • Laila Barakati - Bachelor’s student, University of Amirkabir: Explaining Transformers
  • Mohammad Javad Rajabi - Bachelor’s student, University of Amirkabir: Mitigating Bias for Image Classification
  • Rojina Kashefi - Bachelor’s student, University of Amirkabir: Anomaly detection

PhD Students

  • Mohammad Hajizade (Iran University of Science and Technology, 2018–2024): Lightweight Object Detection using DNN
  • AhmadReza Moradzade (IPM, 2023-Present): Noisy Label Image Classification
  • Marzieh Esmaeil (Tehran University of Medical Sciences, 2020-2024): Anomaly Detection for Medical Imaging

Master Students

  • Hossein Rezaie (Iran University of Science and Technology, 2023–Present): OOD Generalization in Continual Learning
  • Reyhane Tavakolian (Tehran Azad University, 2022–2024): Video Anomaly Detection by Semi-Supervised Learning
  • Mohse Fayyaz (MUT, 2016-2017)~~Now: Senior research scientists at Microsoft.
  • Mohammad Khalooie (MUT, 2017-2018)~~Now:PhD student at Amirkabir University.
  • Masoud Pourreza (MUT, 2017-2018)~~Now:Research EngineerResearch Engineer at mtl.ai
  • Mohammad Hajizadeh Saffar (MUT, 2015-2017)~~ Now: CTO of Part AI research center

Research Assistants

  • Mohammadreza Salehi (Sharif University, 2021-2022) — Now: PhD student at Amsterdam University (Google Scholar)
  • Hossein Mirzaei (Sharif University, 2022-2024) — Now: PhD student at EPFL University (Google Scholar)
  • Fatemeh Jabbari (IPM, 2021–2023) — Now: PhD student at Bonn University
  • Bahram Mohammadi (Sharif University, 2020-2022) — Now: PhD student at Adelaide University (Google Scholar)
  • Mozhgan Pourkeshavarz (IPM, 2020-2021) — Now: Research Scientist at Huawei Noah's Ark Lab (Google Scholar)