I received my Ph.D. degree from the Australian National University, Australia in 2020. My thesis was “Novel Concepts and Designs for Adversarial Attacks and Defenses.” I am an assistant professor in the computer science department of the College of Computing and Mathematical Sciences at Khalifa University.

I am interested in building Robust Intelligent Systems. My research focuses on robust visual-spatial and temporal perception, understanding and explaining AI behavior through adversarial machine learning, representation learning through self-learning ( self-supervision, self-distillation, self-critique, self-reflection), and configuring the role of large language models (LLMs) in building robust AI systems across applications of security and life sciences.

⚡ Top-Venue

• Four CVPR 2024 papers accepted.
• One ICLR 2024 paper accepted.
• One AAAI 2024 paper accepted (Oral, Top 9.0%).
• One NeurIPS 2023 paper accepted.
• Three ICCV 2023 papers accepted.
• Three CVPR 2023 papers accepted.
• One ICLR 2023 paper accepted.
• One TPAMI 2022 paper accepted.
• One CVPR 2022 paper accepted (Oral, Top 5.0%).
• One ICLR 2022 paper accepted (Spotlight, Top 5.0%).
• One NeurIPS 2021 paper accepted (Spotlight, Top 3.0%).
• Two ICCV 2021 papers accepted.
• One CVPR 2020 paper accepted (Oral, Top 5.7%).
• One NeurIPS 2019 paper accepted.

🔥 Notable

• One ACCV 2024 paper accepted (Oral, Top 5.6%).
• Four MICCAI 2024 papers accepted.
• One MICCAI 2023 paper accepted (Early Accept, Top 14.0%).
• One BMVC 2022 paper accepted (Oral, Top 9.5%).
• One ACCV 2022 paper accepted (Oral, Top 14.6%).