Profile
I am Gwanjong Park, a Ph.D. student in the Department of Software at SungKyunKwan University (SKKU) and a member of the Computer Systems Laboratory (CSL) research group, under the advisement of Professor Euiseong Seo.
My research interests span the design of AI-driven computing systems and system-optimized AI frameworks. My recent work has focused on optimizing system resources and reducing the energy and carbon footprint of AI computing infrastructures, with the broader goal of enabling resource-efficient and sustainable AI systems.
Education
Publications
REcoCache
Under Review
StreamWeaver
Under Review
StellarDB
Under Review
ESS
Under Review
CARMA: Carbon Attribution for Request Mixes and Applications in Kubernetes
The International Conference on Cloud Computing Technology and Science (CloudCom 2026)
When Misprediction Is Cheap: Rethinking Host-Side Power Management for NVMe SSDs
The Non-Volatile Memory Systems and Applications Symposium (NVMSA 2026)
Carbon-Aware Continuous Learning for Sustainable Real-Time Machine Learning Analytics
The European Conference on Computer Systems (EuroSys 2026)
Cloud Reamer: Enabling Inference Services in Training Clusters
The International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2024)
DaCapo: An On-Device Learning Scheme for Memory-Constrained Embedded Systems
The International Conference on Embedded Software (EMSOFT 2023)
Energy-Harvesting-Aware Adaptive Inference of Deep Neural Networks in Embedded Systems
The International Symposium on Low Power Electronics and Design (ISLPED 2023)