☕️I am a Ph.D. student at Collaborative Distributed Systems & Networks (CDSN) Lab, Korea Advanced Institute of Science and Technology (KAIST) under the advisorship of Prof. Dongman Lee. Previously, I was awarded the Korean Government Scholarship (KGSP) to pursue my Master’s degree in Information Engineering at Chungbuk National University, where I was advised by Prof. Taehong Kim.
My research focuses on the design and development of computing systems, particularly at the edge of the network. I am especially interested in areas such as edge AI and on-device AI, where inference and training can be performed on tiny, resource-constrained devices. I believe, in the future, these systems will become the backbone of a wide range of applications, including video analytics, IoT sensing, and smart mobility.
In my free time, I enjoy staying active. Whether it’s running, hiking, playing football, or practicing calisthenics, I can never get enough of it.
PhD Computer Science
Korea Advanced Institute of Science and Technology (KAIST)
MEng Information Engineering
Chungbuk National University
BSc Telecommunications Engineering
Vietnam National University Hanoi (VNUH)
Hoang Van Thu High School for Gifted Students
Our paper titled “How2Compress: Scalable and Efficient Edge Video Analytics via Adaptive Granular Video Compression” has been accepted to ACM Multimedia 2025, the very top conference in the domain.
Our paper titled “OCTOPINF: Workload-Aware Inference Serving for Edge Video Analytics” has been accepted to PerCom 2025. The conference remains competitive with only 15-17% acceptance rate.
