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

Capstone Design Project A (Fall, 2019)

Capstone Design Project A&B (Graduation Project)

Prof. Hyunsu Kim

In this project, DRAM and nonvolatile next-generation memory (NVRAM, LPM) to reduce the power consumption of memory (hereinafter HM: Hybrid Memory) and processor

Dynamically adjust the voltage to lower the power consumption of the processor (hereinafter DVFS: Dynamic VoltageFrequency Scaling) to maximize the power saving effect of the system.

We improved the proposed method compared to the control group according to utilization in single-core and multi-core environments

Also, we compared and analyzed its performance. In addition, each suboptimal algorithm such as the genetic algorithm and low power technology is used to further reduce power consumption by pre-determining the frequency/voltage and memory of the processor to be allocated to the task.





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