معرفی
Sejun Song, Ph.D., is a Professor at the School of Computer & Cyber Sciences (SCCS) at Augusta University, Georgia. He has held prior roles including Assistant Professor at Texas A&M University and founding director of the Cisco Test Engineering Center (Cisco-TEC). His research focuses on Cybersecurity, Machine Learning, IoT, and Mobile/Wireless Communications for applications in smart cities, eHealth, transportation, and agriculture. Song holds a Ph.D. in Computer Science and Engineering from the University of Minnesota (2001) and has industry experience at Cisco Systems and Honeywell Research Lab.
His work spans funded projects by NSF, DoD, NASA, NIH, and others. Notable contributions include AI-driven cybersecurity solutions, crowd dynamics modeling, and edge computing frameworks for surveillance. Awards include the NASA Summer Fellowship and multiple best paper/video awards at conferences like CCNC and Mobisys. His interdisciplinary projects include smart infrastructure development and technology education for underserved populations.
- Research Highlights:
- Deepfake detection using corneal reflections (READFake, MobiDeep)
- Resilient network systems for IoT and space communications
- Energy-efficient semantic communication protocols
- Funding Agencies: NSF, DoD, ONR, AFOSR, NASA, NIH, CDC
Awards reflect multiple domains: teaching excellence (Center for Teaching Excellence Scholar), research innovation (Air Force Visiting Fellowship), and applied results (best video/paper awards).
Key labs/teams involve Cisco-TEC and collaborations on edge computing, federated networking, and smart city infrastructure. Current research emphasizes trustworthy AI systems, green communication, and pandemic-era crowd safety analytics.
