Rhongho Jang

Rhongho Jang

Assistant Professor (CS)

Rhongho Jang
Assistant Professor · Department of Computer Science · Wayne State University Adjunct Assistant Professor · AI and Data Science (AIDaS) Institute
I received dual Ph.D. degrees in Computer Science and Engineering (2020), advised by Dr. David Mohaisen (University of Central Florida) and Dr. DaeHun Nyang (Ewha Womans University), and completed a research internship at the USC Information Sciences Institute (ISI) in 2019. I'm directing the NIDS Lab (Networked Intelligence and Distributed Security), where we build next-generation systems that narrow the deployment gap between programmable hardware and AI.
Research Interests
Emerging Infrastructure Network Intelligence System Resiliency Applied AI
Recent News
  • Mar 2026 Mehdi will join Google for a summer internship!
  • Dec 2025 Low-and-slow threat detection paper accepted in USENIX NSDI 2026. Congrats to Mehdi!
  • Oct 2025 Mehdi is selected as a Distinguished AE Reviewer for USENIX Security, congrats!
  • Sep 2025 Malware concept drift paper to appear in Computing.
  • Apr 2025 🏅 Mehdi received Michael Conrad Award ($1,000) for USENIX Security 2024 paper, congrats!
  • Feb 2025 "SketchFeature" in-network defense paper to be presented at ISOC NDSS 2025.
  • Dec 2024 🏆 Best Paper Award at WISE 2024 for malware concept drift research.
  • Aug 2024 Mehdi's first paper as lead author to be presented at USENIX Security 2024.
  • Aug 2023 Grant Received NSF travel grant (PI) for IEEE CNS 2022.
  • Apr 2023 Hospital website security paper accepted in IEEE ICCCN 2023.
  • Feb 2023 In-network traffic measurement paper to be presented at ISOC NDSS 2023.
  • Sep 2022 Transformer explainability paper accepted in NeurIPS 2022.
  • Aug 2022 Grant Received NSF HCC grant (Co-PI) for AI for social goods.
  • Jul 2022 In-network ACL defense paper to appear at ACM CCS 2022.
  • Jun 2022 Malware detection system analysis paper accepted in RAID 2022.
  • Mar 2022 Flow spread estimation algorithm paper accepted in IEEE DSN 2022.
  • Aug 2021 DNS resolver behavioral analysis paper accepted in IEEE/ACM ToN.
  • Jan 2021 🏆 Best Fast Abstract Award for IoT malware defense at IEEE DSN 2021.
  • Jul 2020 Two papers (Security/Privacy) accepted in IEEE INFOCOM 2020.
  • Mar 2020 Malware adversarial learning paper accepted in IEEE ICDCS 2020.