I am a Ph.D. Candidate in Computer Science at Hanyang University, working in the Data Intelligence Lab with Prof. Dong-Kyu Chae. I am also co-advised by Prof. Junegak Joung from the Department of Industrial Data Engineering (IDE), Hanyang University. My Ph.D. is supported by Brain Korea 21 and National Research Foundation of Korea (NRF). Previously, my Ph.D. was partially supported by Samsung Electronics. I was a research collaborator with Oracle, USA. Before joining Hanyang, I obtained a bachelor's degree in Electrical Engineering from AUST in 2021.

My research broadly solves challenges in trustworthy ML. Particularly, test-time adaptation, where the model adapts to an unseen distribution. Specifically, my research answers the following questions: (1) How does the model understand a dynamic test stream? (2) How robust are the model dynamics under open-world settings? (3) How do models handle corrupted and noisy data during testing under diverse settings? (4) How can the production industry effectively utilize reliable ML frameworks?

Contact: takihr@hanyang.ac.kr (Official) | takihasanrafi@gmail.com (Permanent)
Office: 709, R&D Building-I, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763

Selected Papers

Full List is here!

	Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Sarthak Kumar Maharana, Shambhavi Mishra, Yunbei Zhang, Shuaicheng Niu, Taki Hasan Rafi, Jihun Hamm, Marco Pedersoli, Jose Dolz, Yunhui Guo Transactions on Machine Learning Research (TMLR) Test-Time [paper]
	Family Matters: A Systematic Study of Spatial vs. Frequency Masking for Continual Test-Time Adaptation Chandler Timm C. Doloriel, Yunbei Zhang, Yeonguk Yu, Taki Hasan Rafi, Muhammad Salman Siddiqui, Tor Kristian Stevik, Habib Ullah, Fadi Al Machot, Kristian Hovde Liland Transactions on Machine Learning Research (TMLR) Test-Time [paper]
	Learning from Unknown for Open-Set Test-Time Adaptation Taki Hasan Rafi, Amit Agarwal, Hitesh L. Patel, Dong-Kyu Chae 🏆 WACV 2026 (Oral, 85/2550 ~ A/R: 3.3%) Test-Time [paper]
	Towards Robust Continual Test-Time Adaptation via Neighbor Filtration Taki Hasan Rafi, Amit Agarwal, Hitesh L. Patel, Dong-Kyu Chae CIKM 2025 (185/604 ~ A/R: 30.6%) Test-Time [paper]