Assistant Professor, Computer Science
Rhongho Jang is an assistant professor in the department of computer science at Wayne State University. He received his Ph.D. in the department of computer science at the University of Central Florida, in 2020. He also received his B.S., M.E, and Ph.D. (first) from the Inha University of South Korea in 2013, 2015, and 2020, respectively. To date, he published several peer-reviewed research papers in top-tier conferences and premier journals, such as IEEE INFOCOM, IEEE ICDCS, and IEEE TMC, etc. As public services, he is serving as a PC member in MSN 2021 and publicity chair in ICDCS 2021, served as a web chair in ACM CoNEXT 2019, and a reviewer in IEEE TPDS, IEEE TMC, IEEE TNSM, IEEE ToN, ETRI Journal, etc.
Ph.D. 2020, University of Central Florida (Computer Science)
Ph.D. 2020, Inha Univeristy (Computer Science and Enginnering)
CSC 5290 - Cyber Security Practice Fall, 2020, 2021 [Description]
CSC 5991 - Network Programmability and Applications, Winter 2021
Security & Privacy, Network Measurement, Software-defined Networking, Counting Algorithm, Applied Machine Learning
- C. Jung, J. Choi, R. Jang, D. Mohaisen, D. Nyang, "A Network-independent Tool-based Usable Authentication System for Internet of Things Devices," Computer & Security (COSE), 2021
- R. Jang, C. Jung, D. Mohaisen, K. Lee, D. Nyang, "A One-Page Text Entry Method Optimized for Rectangle Smartwatches," IEEE Transactions on Mobile Computing (TMC), 2021
- R. Jang, D. Min, S. Moon, D. Mohaisen, and D. Nyang, “SketchFlow: Per-Flow Systematic Sampling Using Sketch Saturation Event”, in Proceedings of the 39th IEEE International Conference on Computer Communications, INFOCOM 2020
- A. Abusnaina†, R. Jang†, A. Khormali, D. Nyang, and D. Mohaisen, “Deep Fingerprinting Defender: Adversarial Learning-based Approach to Defend Against Website Fingerprinting”, in Proceedings of the 39th IEEE International Conference on Computer Communications, INFOCOM 2020
- H. Alasmary†, A. Abusnaina†, R. Jang†, M. Abuhamad, A. Anwar, D. Nyang, and D. Mohaisen “Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers”, in Proceedings of 40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020
- R. Jang, J. Kang, D. Mohaisen, and D. Nyang, “Catch Me If You Can: Rogue Access Point Detection Using Intentional Channel Interference”, IEEE Transactions on Mobile Computing (TMC), 2020
† equivalent contributors
Awards and Honors
2017 Best-In-Session Presentation Award (SDN II), INFOCOM
2018 Outstanding Young Researcher Award, KISA
Other Professional Experience
PC member: IEEE MSN 2021, Publicity chair: IEEE ICDCS 2021, Web chair: IEEE/ACM CoNEXT 2019.
Reviewer: IEEE TPDS, IEEE TMC, IEEE TNSM, IEEE ToN, ETRI Journal, etc.