Our Members

KEPCO Professor Dongman Lee

Collaborative and Distributed Systems & Network Lab
Research Areas:

Systems-Networks, Social Computing, Interactive Computing, Edge Computing, Urban Computing, Ubiquitous Computing

dlee(at)kaist.ac.kr

Office: N1-803
IT Convergence Bldg

+82-42-350-3559

+82-42-350-7859

dlee(at) kaist.ac.kr

+82-42-350-3559

+82-42-350-7859

Office: N1-803
IT Convergence Bldg

Dongman Lee is a distinguished KEPCO professor and a pioneering researcher in intelligent edge computing and distributed systems, whose influential work has helped shape the evolution of mobile cloud computing and IoT-driven urban environments. As early as 2010, his seminal paper introduced the concept of a virtual cloud computing provider for mobile devices, laying foundational work for what is now known as mobile edge and fog computing. His lab continues to lead research in autonomous mobility, urban computing, and AI-integrated distributed infrastructures.

Dongman Lee received his BS in Computer Engineering from Seoul National University in 1982, followed by his MS and Ph.D. in Computer Science from KAIST in 1984 and 1987. His career includes a decade as a Senior Researcher at Hewlett-Packard (1988–1997), and subsequent academic leadership roles at KAIST, where he has served as Professor of Computer Science since 2003. He has held multiple deanships, including Dean of the College of Engineering (2021–2023) and Provost and Executive Vice President ofAcademic Affairs (2023–2024). Since 2019, he has also served as the ICT Endowed Chair Professor at KAIST (KEPCO Chair Professor since March 2025).

Through his career, Dongman Lee has continually bridged visionary research with real-world innovation, helping to define the trajectory of future internet architectures, edge intelligence, and urban tech ecosystems in Korea and globally.

Dongman Lee’s research spans a broad spectrum, including intelligent edge computing, software-defined mobility, urban robotics, and distributed learning frameworks. His group developed Korea’s first university-led Deep Mobility Consortium, partnering with major industry players like Hyundai to develop autonomous learning-based mobility OS (mOS). This work was recognized as one of KAIST’s 14 Future Leading Technologies in 2024. His research on ubiquitous computing middleware and service-aware networking (SINA) introduced Korea’s first SDN framework for wireless mobile environments and laid the groundwork for intelligent smart city infrastructure.

Researchers and Students:

Office: N1-823 IT Convergence Building

Thanh-Tung Nguyen

Ph.D. Student

Edge computing, AI Workload Distribution and Scheduling

Lucas Liebe

Ph.D. Student

Edge Computing, Adaptive-Self-Learning Systems, Resource Allocation

Yuheng Wu

Ph.D. Student

Edge Computing, Future Mobility Systems

Joyoung Park

Ph.D. Student

Urban Systems

Nhat Quang Tau

M.S. & Ph.D. Student

Edge-Cloud System, Foundation Model Serving

Chaemin Jang

Master Student

Large Language Models, Economics

Pablo Espinosa Campos

Master Student

Edge Networking, Federated Learning

Jaemo Jeong

Master Student

Multi-Modality Foundation Models, Human Activity Recognition

Tianhao Chen

Master Student

Multi Agent System; Efficient Autonomous Driving

Junho Lee

Master Student

Contextual Marketing Analysis

Yifei Liu

Master Student

Autonomous Systems, Multi-modal Sensing

Sodam Na

Master Student

Machine Learning, Large Language Models

Do Pham Khai Nguyen

Master Student

Machine Learning, Large Language Models

Alumni

List

Graduated Students from CDSN Lab

Sujin Park

Administrative Assistant

psujin(at)kaist.ac.kr

+82-42-350-7802

Office: N1-824
IT Convergence Bldg