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 .

💼 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

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IEEE Transactions on Industrial Informatics: (Under Review! - Contents not allowed to open)


IEEE Transactions on Industrial Informatics

TII 2021


This paper is a final work of the scheduling research I've been working on over the past two years.
In order to simultaneously schedule periodic real-time tasks and sporadic interactive scripts, we used the P-fairness algorithm and the round-robin algorithm. 
In addition, to reduce power consumption, genetic algorithms, DVFS, and HM were used. 
Finally, a virtual real-time task to shorten the response time of the interactive task is defined and pre-scheduled according to the load.

라벨:

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