Young Geun Kim
(김영근)

 Research Group Intelligent Computer Architecture & Systems Laboratory (CASL)
Research Interest

• System Design and Optimization for Machine Learning

• Energy Efficiency Optimization of Mobile/Edge Systems

• Thermal Management of Multi-scale Heterogeneous Systems

Research Experience and Education

• Mar. 2025 ~ Present: Associate Professor, Department of Computer Science and Engineering, Korea University

• Mar. 2022 ~ Feb. 2025: Assistant Professor, Department of Computer Science and Engineering, Korea University

• Sep. 2020 ~ Feb. 2022: Assistant Professor, School of Software, Soongsil University

• Sep. 2019 ~ Aug. 2020: Postdoctoral Research Associate, School of Computing, Informatics, & Decision Systems Engineering, Arizona State University 
  (Advisor: Prof. Carole-Jean Wu)

• Sep. 2018 ~ Aug. 2019: Research Professor, Department of Computer Science & Engineering, Korea University

• Aug. 2018: Ph.D. in Computer Science & Engineering, Korea University
  (Advisor: Prof. Sung Woo Chung)

• Feb. 2014: B.S. in Computer Science & Engineering, Korea University

Teaching

• Logic Design (Undergraduate), Spring 2025
  Advanced Computer Architecture (Graduate), Spring 2025

• Computer Architecture (Undergraduate), Fall 2024

• Low-Power Computing (Undergraduate), Spring 2024

• Computer Architecture (Undergraduate), Fall 2023

• Computer Architecture (Undergraduate), Spring 2023
  Advanced Computer Architecture (Graduate), Spring 2023

• Computer Architecture (Undergraduate), Fall 2022
  Advanced Embedded Systems (Graduate), Fall 2022

• Computer Architecture (Undergraduate), Spring 2022
  Mobile Computing (Graduate), Spring 2022

• Operating Systems (Undergraduate), Fall 2021

• Computer Architecture (Undergraduate), Spring 2021

• Operating Systems (Undergraduate), Fall 2020

• Computer Architecture (Undergraduate), Fall 2018

• Logic Design (Undergraduate), Spring 2017

 Publication [Google Scholar] (†: equally contributed, *: corresponding author)

• [IEEE IoTJ '25] GreenScale: Carbon Optimization for Edge Computing
  Yonglak Son, Udit Gupta, Andrew McCrabb, Young Geun Kim*, Valeria Bertacco, David Brooks, and Carole-Jean Wu
  IEEE Internet of Things Journal (IF 8.2, JCR Top 3.4%), accepted.

• [NAACL '25] Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models
  Hyegang Son†, Yonglak Son†, Changhoon Kim, Young Geun Kim*
  In Proceedings of Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL),  2025, Main Track - Oral

• [TC '25] Energy-Efficient, Delay-Constrained Edge Computing  of a Network of DNNs
  Mehdi Ghasemi, Soroush Heidari, Young Geun Kim, Carole-Jean Wu, and Sarma Vrudhula
  IEEE Transactions on Computers, vol. 74, no. 2, pp. 569-581. 2025.

• [SEC'24] Elastic Execution of Multi-Tenant DNNs on Heterogeneous Edge MPSoCs
  Soroush Heidari, Mehdi Ghasemi, Young Geun Kim, Carole-Jean Wu, and Sarma Vrudhula
  In Proceedings of ACM/IEEE Symposium on Edge Computing (SEC), 2024

• [IISWC '24] Mediator: Characterizing and Optimizing Multi-DNN Inference for Energy Efficient Edge Intelligence
  Seung Hun Choi, Myung Jae Chung, Young Geun Kim*, and Sung Woo Chung
  In Proceedings of IEEE International Symposium on Workload Characterization (IISWC), 2024, Best Paper Nominee

• [ISLPED '24] CLOVER: Carbon Optimization of Federated Learning over Heterogeneous Clients
  Chanwoo Cho†, Yonglak Son†, Seongbin Park, and Young Geun Kim*
  In Proceedings of IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2024, Best Paper Candidate

• [TETC '24] Near-Memory Computing with Compressed Embedding Table for Personalized Recommendation
  Jeongmin Lim, Young Geun Kim, Sung Woo Chung, Farinaz Koushanfar, and Joonho Kong
  IEEE Transactions on Emerging Topics in Computing, vol. 12, no. 3, pp. 938-951, 2024.

• [MLSys '24] HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning
  Gyudong Kim, M. Ghasemi, S. Heidari, Seungryong Kim, Young Geun Kim*, Sarma Vrudhula, and Carole-Jean Wu
  In Proceedings of Annual Conference on Machine Learning and Systems (MLSys), 2024

• [ACCESS '23] AMBITION: Ambient Temperature Aware VM Allocation for Edge Data Centers
  Seung Hun Choi, Seon Young Kim, Young Geun Kim*, Joonho Kong, and Sung Woo Chung
  IEEE Access, vol. 11, pp. 68501-68511, 2023.

• [TC '22] CAMDNN: Content-Aware Mapping of a Network of Deep Neural Networks on Edge MPSoCs
  Soroush Heidari, Mehdi Ghasemi, Young Geun Kim, Carole-Jean Wu, and Sarma Vrudhula
  IEEE Transactions on Computers, vol. 71, no. 12, pp. 3191-3202, 2022.

• [IISWC '22]  FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning
  Young Geun Kim* and Carole-Jean Wu
  In Proceedings of the IEEE International Symposium on Workload Characterization (IISWC), 2022

• [WCMC '22] LiDAR: A Light-Weight Deep Learning-based Malware Classifier for Edge Devices
  Jinsung Kim, Younghoon Ban, Geochang Jeon, Young Geun Kim, and Haehyun Cho
  Wireless Communications and Mobile Computing, vol. 2022, article 2117883, pp. 1-9, 2022.

• [MICRO '21] AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning
  Young Geun Kim* and Carole-Jean Wu
  In Proceedings of IEEE/ACM International Symposium on Microarchitecture (MICRO), 2021

• [SMARTCOMP '21] Energy-Efficient Mapping of a Network of DNN Models at the Edge
  Mehdi Ghasemi, Soroush Heidari, Young Geun Kim, Aaron Lamb, Carole-Jean Wu, and Sarma Vrudhula
  In Proceedings of the IEEE International Conference on Smart Computing (SMARTCOMP), 2021

• [JSA '21] Thermal-aware Adaptive VM Allocation Considering Server Locations in Heterogeneous Data Centers
  Young Geun Kim, Seon Young Kim, Seung Hun Choi, and Sung Woo Chung
  Journal of Systems Architecture (JSA), vol. 117, 2021

• [HPCA '21] Chasing Carbon: The Elusive Environmental Footprint of Computing
  Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, and Carole-Jean Wu
  In Proceedings of the IEEE International Symposium on High Performance Computer Architecture (HPCA), 2021
  Selected for IEEE MICRO Top Picks

• [MICRO '20] AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning
  Young Geun Kim* and Carole-Jean Wu
  In Proceedings of the IEEE/ACM International Symposium on Microarchitecture (MICRO), 2020

• [TC '20] An Adaptive Thermal Management Framework for Heterogeneous Multi-core Processors
  Young Geun Kim, Minyong Kim, Joonho Kong, and Sung Woo Chung
  IEEE Transactions on Computers (TC), vol. 69, no. 6, pp. 894-906, 2020

• [TC '20] Signal Strength-aware Adaptive Offloading with Local Image Preprocessing for Energy Efficient Mobile Devices
  Young Geun Kim, Young Seo Lee, and Sung Woo Chung
  IEEE Transactions on Computers (TC), vol. 69, no. 1, pp. 99-111, 2020

• [ICPADS '19] A Framework for Distributed Deep Neural Network Training with Heterogeneous Computing Platforms
  Bontak Gu, Joonho Kong, Aslan Munir, and Young Geun Kim
  In Proceedings of the IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2019

• [MICPRO '19] Memory Streaming Acceleration for Embedded Systems with CPU-Accelerator Cooperative Data Processing
  Kwangho Lee, Joonho Kong, Young Geun Kim and Sung Woo Chung
  Microprocessors and Microsystems (MICPRO), vol. 71, 2019

• [ISLPED '19] Temperature-aware Adaptive VM Allocation in Heterogeneous Data Centers
  Young Geun Kim, Jeong In Kim, Seung Hun Choi, Seon Young Kim, and Sung Woo Chung
  In Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2019

• [COOLChips '19] A Machine Learning-based CPU Temperature Prediction Model considering Environmental Features
  Seung Hun Choi, Seon Young Kim, Young Geun Kim, and Sung Woo Chung
  IEEE Symposium on Low-Power and High-Speed Chips and Systems (COOLChips), 2019 (poster)

• [TPDS '18] A Survey on Recent OS-level Energy Management Techniques for Mobile Processing Units
  Young Geun Kim, Joonho Kong, and Sung Woo Chung
  IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 29, no. 10, pp. 2388-2401, 2018

• [TC '17] Enhancing Energy Efficiency of Multimedia Applications in Heterogeneous Mobile Multi-core Processors
  Young Geun Kim, Minyong Kim, and Sung Woo Chung
  IEEE Transactions on Computers (TC), vol. 66, no. 11, pp. 1878-1889, 2017

• [ISLPED '17] Signal Strength-aware Adaptive Offloading for Energy Efficient Mobile Devices
  Young Geun Kim and Sung Woo Chung
  In Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2017

• [ICCE '17] An Energy-efficient Task Scheduler for Mobile Web Browsing
  Sang Jun Nam, Young Geun Kim, and Sung Woo Chung
  IEEE International Conference on Consumer Electronics (ICCE), 2017

• [DATE '15] M-DTM: Migration-based Dynamic Thermal Management for Heterogeneous Mobile Multi-core Processors
  Young Geun Kim, Minyong Kim, Jae Min Kim, and Sung Woo Chung
  In Proceedings of Design, Automation, and Test in Europe Conference (DATE), 2015

• [ETRIJ '15] A Novel GPU Power Model for Accurate Smartphone Power Breakdown
  Young Geun Kim, Minyong Kim, Jae Min Kim, Minyoung Sung, and Sung Woo Chung
  ETRI Journal, vol. 37, no. 1, pp. 157-164, 2015

• [TC '15] Stabilizing CPU Frequency and Voltage for Temperature-aware DVFS in Mobile Devices
  Jae Min Kim, Young Geun Kim, and Sung Woo Chung
  IEEE Transactions on Computers, vol. 64, no. 1, pp. 286-292, 2015

• [COMPUTER '14] Measuring Variance between Smartphone Energy Consumption and Battery Life
  Minyong KIm, Young Geun Kim, Sung Woo Chung, and Cheol Hong Kim
  IEEE Computer Magazine, vol. 47, no. 7, pp. 59-65, 2014

• [ICCSEE '13] Loop Restructuring for Performance Enhancement in ARM-based Microprocessors
  Jae Min Kim, Young Geun Kim, and Sung Woo Chung
  International Conference on Computer Science and Electronics Engineering (ICCSEE), 2013

Technical Service

• Program Committee (ERC) of IEEE/ACM International Symposium on Microarchitecture (MICRO) 2025

• Program Committee of Design Automation Conference (DAC) 2024-2025

• Program Committee of IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) 2023-2025

• Program Committee of IEEE International Symposium on High Performance Computer Architecture (HPCA) 2022 

• Reviewer of IEEE/ACM International Symposium on Microarchitecture (MICRO) 2020

• Reviewer of Workshop on Benchmarking Machine Learning Workloads (MLBench) 2020

• Reviewer of ACM/EDAC/IEEE Design Automation Conference (DAC) 2015-2018

• Reviewer of IEEE Int’l Symposium on Low Power Electronics and Design (ISLPED) 2016-2018 

• Reviewer of IEEE Computer Architecture Letters (CAL)

• Reviewer of ACM Transactions on Architecture and Code Optimization (TACO)

• Reviewer of IEEE Transactions on Computers (TC)

• Reviewer of IEEE Transactions on Very Large Scale Integration Systems (TVLSI)

• Reviewer of Journal of Parallel and Distributed Computing (JPDC)

Contact Information

• E-mail: younggeun_kim@korea.ac.kr

• Office: JungWoonOh IT & Education Center #506

• Address: Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, South Korea 02841

• Tel: +82-2-3290-4609