Greetings

I'm a 4th-year Ph.D. candidate in Computer Science at the University of Toronto, working with Prof. Khai Truong in the DGP lab.

My research lies at the intersection of human–AI interaction, accessibility, and creativity support, with a special focus on improving music accessibility for d/Deaf and hard-of-hearing (DHH) individuals. My projects include song signing (CHI ’23) to explore how music is experienced and expressed within Deaf culture, and ELMI (CHI ’25), an LLM-supported English lyrics to ASL gloss translation system.

I completed my B.Sc. in Computer Science and Engineering at Ewha Womans University, where I was advised by Prof. Uran Oh (Human-Computer Interaction Lab) and Prof. Hyokyung Bahn (Distributed Computing and Operating Systems Lab).

Additionally, I worked as a research intern at Samsung AI Center Toronto, where I was mentored by Iqbal Mohomed, and at NAVER AI LAB under the supervision of Young-Ho Kim. Most recently, I interned at Adobe Research in the STORIE Lab, supervised by Anh Truong and Justin Salamon .

πŸ’Ό I am currently exploring academic (Assistant Professor) and industry (Research Scientist) positions starting in Summer/Fall 2026.

Google Scholar | LinkedIn | suhyeon.yoo[at]mail.utoronto.ca

Special Topics in Human-Computer Interaction: Face Recog in MS HoloLens 1 (Fall, 2020)

Class: Special Topics in Human-Computer Interaction

Class NumberG17618-01 (Graduate Course, Auditing)

Date: Fall 2020
Professor: Uran Oh
Main Idea: Face Recognition at HoloLens1 - Calculating the location, Recognizing the person, Emotion recognition
Methods: Azure Face API, MRTK2, DirectX, C++, and C#
Results: 





Individual Project: 

HoloLens + Accessibility

Face Recognition 


Currently, I am working on HoloLens for face recognition.

MS Azure's FACE API and Direct X are used!

The goal of the project is to recognize and distinguish faces and measure the distance to a focused person.

As an additional function, I want to inform the face direction and facial expression to the user. 





I have also worked on "Gesture Recognition" at Hololens!












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