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

Computer Network: Parking Master - Real-time Parking Manager for Urban Drivers (Fall, 2019)


Computer Network
Prof. Sookyoung Lee

 Real-time parking manager for city drivers

Class: Computer Network
Class Number: 20495-02
Date: Fall 2019
Professor: Sookyoung Lee
Main Idea: Design network protocols that can increase network resource utilization and improve service to users.
Methods: Pseudo Coded
Results: 

Smart navigation (Bluetooth for beacons, Internet for server communication)

Technology-equipped in-vehicle terminal) and smartphone

Provides real-time parking status, recommends parking locations, guides parking locations

Elapsed parking time and estimated fee information provision system


 

<Parking Master: Real-time Parking Manager for Urban Drivers>



스마트 네비게이션: 비콘과의 통신을 위한 


블루투스, Fog server와의 통신을 위한 


인터넷 기술을 탑재




시 별 주차장 관리: Cloud 서버


주차장 별 주차 정보 관리: Fog 서버



주차장 내 실시간 위치 정보 제공: 비콘

 

 

 

 

<Core function>


Provides real-time parking status information (remaining seats) 

 recommends parking available parking around the destination of the cloud server



(Based on distance and remaining seats)


class Fog:

 

manage_car_info() {

if(get msg.flag==0100){

add beacon_passed_table[App.c_ID, passed_beacon]

 

 

if(msg.beacon_ID == 123.111)

add parking_info_table[App.c_ID,get_in_time, park_zone = null, personal_info, car_current_location]

add car_order_list[App.c_ID]

 

else if(msg.beacon_ID == 123.222)

   delete parking_info_table [App.c_ID]

update N_floor_info[park_zone, empty]

 

else if(123.333 <= msg.beacon_ID < 123.444)

   update parking_info_table[App.c_ID,car_current_location]

 

else if(msg.beacon_ID > 123.444){

update parking_info_table [App.c_ID, car_current_location]

}

else if(get msg about 주차 완료){

       update  parking_info_table[App.c_ID, park_zone, if_parking=True]

update N_floor_info[park_zone, full]

}

}

}



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