Greetings

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

My research centers human-AI interaction, with an emphasis on accessibility and creativity support, particularly in enhancing "music accessibility" for d/Deaf and hard-of-hearing individuals. One of my main projects involves song signing to support culturally responsive content creation and encourage collaboration between d/Deaf and non-d/Deaf artists. Another aspect of my work focuses on enhancing people's well-being. I am engaged in projects that support individuals with dementia in their out-of-home experiences and encourage mindful eating behaviours among children.

I completed my B.Sci 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 System Lab). Additionally, I worked as a research intern at the Samsung AI Centre Toronto under the guidance of Dr. Iqbal Mohomed, and at NAVER AI (HCI group) with Dr. Young-Ho Kim.

Check out my second IEEE paper :-)

I have recently published a journal at TII with Yewon and Prof. Hyokyong Bahn about Real-time Scheduling!

Take a look through the link below:

https://ieeexplore.ieee.org/abstract/document/9382834?casa_token=0-w7BHB1GPgAAAAA:4okwalp0vlnU-GgEMeLuej8PDu5ee_WCvA6mpARThwo2EOYR5aY98pqACGU_vHL_9A6hzIHJolY


Thank you :)










Abstract:
With the recent advances in Internet of things and cyber-physical systems technologies, smart industrial systems support configurable processes consisting of human interactions as well as hard real-time functions. This implies that irregularly arriving interactive tasks and traditional hard real-time tasks coexist. As the characteristics of the tasks are heterogeneous, it is not an easy matter to schedule them all at once. To cope with this situation, this paper presents a new task scheduling policy that uses the notion of "virtual real-time task" and two-phase scheduling. As hard real-time tasks must keep their deadlines, we perform offline scheduling based on genetic algorithms beforehand. This determines the processor's voltage level and memory location of each task and also reserves the virtual real-time tasks for interactive tasks. When interactive tasks arrive during the execution, online scheduling is performed on the time slot of the virtual real-time tasks. As interactive workloads evolve over time, we monitor them and periodically update the offline scheduling. Experimental results show that the proposed policy reduces the energy consumption by 66.8% on average without deadline misses and also supports the waiting time of less than 3 seconds for interactive tasks.
Published in: IEEE Transactions on Industrial Informatics ( Early Access )
Page(s): - 1
Date of Publication: 22 March 2021 
ISSN Information:
Publisher: IEEE
 Funding Agency:

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