Seung-Jun Kim

Dr. Seung-Jun Kim is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). His work bridges statistical signal processing, machine learning, and optimization, with applications to cyber-physical systems like smart grids and biomedical imaging. He holds a Ph.D. from the University of California, Santa Barbara, and degrees from Seoul National University.

Education:

• Ph.D., Electrical & Computer Engineering, University of California, Santa Barbara (2005)
• M.S. and B.S., Electrical Engineering, Seoul National University, South Korea (1996-1998)

Research Focus: Dr. Kim's research emphasizes online/decentralized learning, machine learning for cyber-physical systems, and analyzing complex data interactions. His projects include power grid monitoring via subspace clustering, spectrum cartography for cognitive radios, and CNN-based medical image registration. His work spans interdisciplinary applications such as energy management, biomedical diagnostics, and wireless network optimization.

Key Contributions: His recent articles highlight advancements in robust signal processing, kernel-based lifelong learning algorithms, and optimizing systems like smart grids and X-ray mammography. His methodologies address real-world challenges in scalability, adaptability, and data-driven decision-making.

Grants & Advising: While specific grant details are not provided, his research portfolio indicates sustained engagement with industry and academic challenges. He mentors students in cutting-edge projects combining theory and application, though student names are not listed here.

Labs & Teams: Collaborates on projects involving machine learning, wireless systems, and biomedical engineering through UMBC's interdisciplinary research environment.