I received my Ph.D. degree from Australian National University, Australia in 2020. My thesis was “Novel Concepts and Designs for Adversarial Attacks and Defenses”. I am a research scientist at MBZUAI, UAE.

My research interests are robust visual perception by understanding and explaining AI behavior through adversarial machine learning, temporal perception, representation learning (self-supervision, self-distillation, self-critique), and configuring the role of large language models (LLMs) in building visual AI systems.

⚡ Top-Venue

• Four CVPR 2024 papers accepted.
• One ICLR 2024 paper accepted.
• One AAAI 2024 paper accepted (Oral).
• 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 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%).