Personal profile
Research interests
- Real-time embedded systems
- Cyber-physical systems
- Internet of Things
- Security
Biography
KD Kang received his PhD degree in computer science from the University of Virginia, and joined the School of Computing at the Binghamton University in 2003.
His research interests include real-time embedded systems, cyber-physical systems, Internet of Things, and security.
He has published in related premier conferences and journals, such as the IEEE Real-Time Systems Symposium (RTSS), IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Euromicro Conference on Real-Time Systems (ECRTS), IEEE Transactions on Knowledge and Data Engineering, Real-Time Systems Journal, Ad Hoc Networks Journal, and Journal of Parallel and Distributed Computing.
Related documents
Education/Academic qualification
Bachelor, Kyungpook National University
Master, Kyungpook National University
Master, University of Virginia
PhD, University of Virginia
ASJC Scopus Subject Areas
- General Computer Science
Researcher Selected Keywords
- Real-time Embedded Systems
- Cyber-Physical Systems (CPS)
- Internet of Things (IoT)
- Security
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Collaborations and top research areas from the last five years
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CSR: Small: Collaborative Research: Systematic Approaches for Real-Time Stream Data Services
Kang, K.-D. (PI)
09/1/11 → 08/31/15
Project: Research
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TDA-L: Reducing Latency and Memory Consumption of Test-Time Adaptation for Real-Time Intelligent Sensing
Hossain, R., Islam Bhuian, M. T. & Kang, K. D., Jun 2025, In: Sensors. 25, 12, 3574.Research output: Contribution to journal › Article › peer-review
Open Access -
AROD: Adaptive Real-Time Object Detection Based on Pixel Motion Speed
Liu, Y. & Kang, K. D., 2024, 2024 IEEE 100th Vehicular Technology Conference, VTC 2024-Fall - Proceedings. Institute of Electrical and Electronics Engineers Inc., (IEEE Vehicular Technology Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Corun: Concurrent Inference and Continuous Training at the Edge for Cost-Efficient AI-Based Mobile Image Sensing
Liu, Y., Andhare, A. & Kang, K. D., Aug 2024, In: Sensors. 24, 16, 5262.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Filtering Empty Video Frames for Efficient Real-Time Object Detection
Liu, Y. & Kang, K. D., May 2024, In: Sensors. 24, 10, 3025.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Preprocessing via Deep Learning for Enhancing Real-Time Performance of Object Detection
Liu, Y. & Kang, K. D., 2023, 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings. Institute of Electrical and Electronics Engineers Inc., (IEEE Vehicular Technology Conference; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
5 Scopus citations