Chaelin Kim

Hello! My name is Chaelin.

I am a Ph.D. student in Computer Science at Tulane University advised by Prof. Saad Hassan. Currently, I am doing research on developing and evaluating AI-based American Sign Language (ASL) learning system for Deaf and Hard of Hearing community. I am focusing on exploring the impact on automatically segmenting signs from long ASL signing videos and evaluating both the performance and user experience of this assistive technology.

My ultimate goal as a researcher is to create sustainable assistive technologies and systems that can make a positive impact across communities.

Publications

	Design and Evaluation of an AI-Based American Sign Language Video Comprehension Tool: Exploring the Benefits and Use of Automatic Segmentation and Sign Lookup Chaelin Kim, Denise Crochet, Maty Bohacek, Saad Hassan Proceedings of the 28th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2026)
	Towards an AI-Driven Video-Based American Sign Language Dictionary: Exploring Design and Usage Experience with Learners Saad Hassan, Matyas Bohacek, Chaelin Kim, Denise Crochet The 22nd International Web for All Conference (W4A 2025)
	Channel Selective Relation Network for Efficient Few-shot Facial Expression Recognition Chae-Lin Kim, Ga-Eun Lee, Jiwoo Kang, Byung-Gyu Kim IEEE International Conference on Consumer Electronics (ICCE) 2024
	Few-shot Learning on Facial Expression Recognition: A Comprehensive Survey Chae-Lin Kim, Byung-Gyu Kim Journal of Real-Time Image Processing (Springer Nature), vol. 20:52 (Article number: 52), pp. 1-18, May 06, 2023

Poster/Demo

	Supporting Sign Language Video Comprehension through In-Situ Automatic Segmentation and Sign Lookup Tool Chaelin Kim, Saad Hassan Proceedings of the 28th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2026)
	Signing for Care: A Demo and Initial Evaluation of an American Sign Language Learning Tool for Emergency Medical Service Providers Chaelin Kim, Cameron McLaren, Madhangi Krishnan, Nikhil Modayur, Saad Hassan Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2025)

Projects

Development of deep Learning based vision inspection system for bamboo toothbrush Funding: Ministry of SMEs and Startups, Rep. of Korea

Developments on Context Information Analysis Based Matching Technologies for Expanding the Market of Online Publications Funding: Ministry of Culture, Sports and Tourism (MCST) and from Korea Copyright Commission, Rep. of Korea

Development of real-time intelligent object detection technology for drone-captured image Funding: Ministry of Science and ICT, Rep. of Korea (NRF)

Evaluation of Speech Recognition on Foreign Language Education Services in Online Video Platform Environment Funding: Ministry of SMEs and Startups, Rep. of Korea