I am a Ph.D. Candidate in Computer Science at Hanyang University, working in the Data Intelligence Lab with Prof. Dong-Kyu Chae. My Ph.D. is supported by Brain Korea 21 (NRF). Previously, my Ph.D. was partially supported by Samsung Electronics. I was a research collaborator with Oracle, USA. Prior joining at Hanyang, I obtained a bachelor’s degree in Electrical Engineering from AUST in 2021. My research primarily focuses on Trustworthy AI, aiming to build reliable, robust, and safe intelligent systems for variety of applications.

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

I am open for postdoctoral / research scientist positions within the academia in trustworthy multimodal AI. If you are hiring, please reach out!

Selected Papers

Full List is here!

	Learning from Unknown for Open-Set Test-Time Adaptation Taki Hasan Rafi, Amit Agarwal, Hitesh L. Patel, Dong-Kyu Chae WACV 2026 reliability [paper]
	Towards Robust Continual Test-Time Adaptation via Neighbor Filtration Taki Hasan Rafi, Amit Agarwal, Hitesh L. Patel, Dong-Kyu Chae CIKM 2025 reliability [paper]
	Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia Samuel Cahyawijaya, Holy Lovenia, Joel Ruben Antony Moniz, Tack Hwa Wong, Mohammad Rifqi Farhansyah, Thant Thiri Maung, Frederikus Hudi, David Anugraha, Muhammad Ravi Shulthan Habibi, Muhammad Reza Qorib, Amit Agarwal, Joseph Marvin Imperial, Hitesh Laxmichand Patel, Vicky Feliren, Bahrul Ilmi Nasution, Manuel Antonio Rufino, Genta Indra Winata, Rian Adam Rajagede, Carlos Rafael Catalan, Mohamed Fazli Imam, Priyaranjan Pattnayak, Salsabila Zahirah Pranida, Kevin Pratama, Yeshil Bangera, Adisai Na-Thalang, Patricia Nicole Monderin, Yueqi Song, Christian Simon, Lynnette Hui Xian Ng, Richardy Lobo’ Sapan, Taki Hasan Rafi, Bin Wang, Supryadi, Kanyakorn Veerakanjana, Piyalitt Ittichaiwong, Matthew Theodore Roque, Karissa Vincentio, Takdanai Kreangphet, Phakphum Artkaew, Kadek Hendrawan Palgunadi, Yanzhi Yu, Rochana Prih Hastuti, William Nixon, Mithil Bangera, Adrian Xuan Wei Lim, Aye Hninn Khine, Hanif Muhammad Zhafran, Teddy Ferdinan, Audra Aurora Izzani, Ayushman Singh, Evan, Jauza Akbar Krito, Michael Anugraha, Fenal Ashokbhai Ilasariya, Haochen Li, John Amadeo Daniswara, Filbert Aurelian Tjiaranata, Eryawan Presma Yulianrifat, Can Udomcharoenchaikit, Fadil Risdian Ansori, Mahardika Krisna Ihsani, Giang Nguyen, Anab Maulana Barik, Dan John Velasco, Rifo Ahmad Genadi, Saptarshi Saha, Chengwei Wei, Isaiah Flores, Kenneth Ko Han Chen, Anjela Gail Santos, Wan Shen Lim, Kaung Si Phyo, Tim Santos, Meisyarah Dwiastuti, Jiayun Luo, Jan Christian Blaise Cruz, Ming Shan Hee, Ikhlasul Akmal Hanif, M.Alif Al Hakim, Muhammad Rizky Sya’ban, Kun Kerdthaisong, Lester James V. Miranda, Fajri Koto, Tirana Noor Fatyanosa, Alham Fikri Aji, Jostin Jerico Rosal, Jun Kevin, Robert Wijaya, Onno P. Kampman, Ruochen Zhang, Börje F. Karlsson, Peerat Limkonchotiwat 🏆 ACL 2025 (Oral) safety [paper]
	MVTamperBench: Evaluating Robustness of Vision-Language Models Amit Agarwal, Srikant Panda, Angeline Charles, Hitesh Laxmichand Patel, Bhargava Kumar, Priyaranjan Pattnayak, Taki Hasan Rafi, Tejaswini Kumar, Hansa Meghwani, Karan Gupta, Dong-Kyu Chae ACL 2025 (Findings) safety [paper]
	SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use Hitesh Laxmichand Patel, Amit Agarwal, Arion Das, Bhargava Kumar, Srikant Panda, Priyaranjan Pattnayak, Taki Hasan Rafi, Tejaswini Kumar, Dong-Kyu Chae NAACL 2025 (Industry) safety [paper]