Houbing Herbert Song
Professor
Information Systems
Computer Science and Electrical Engineering
Information Technology & Engineering 427
Education
Ph D University of Virginia 2012
MS University of Texas at El Paso 2006
About
Houbing Song (M’12–SM’14-F’23) received the Ph.D. degree in electrical engineering from the University of Virginia, Charlottesville, VA, in August 2012.
He is currently a Tenured Associate Professor, the Director of the NSF Center for Aviation Big Data Analytics (Planning), the Associate Director for Leadership of the DOT Transportation Cybersecurity Center for Advanced Research and Education (Tier 1 Center), and the Director of the Security and Optimization for Networked Globe Laboratory (SONG Lab, www.SONGLab.us), University of Maryland, Baltimore County (UMBC), Baltimore, MD.
Research Interests
cyber-physical systems/internet of things, cybersecurity and privacy, and AI/machine learning/big data analytics
Teaching Interests
AI/Machine Learning, Data Science, Computer Networks
Contracts, Fellowships, Grants, and Sponsored Research
Gaur, Manas (Co-Principal), Song, Houbing (Principal). “Collaborative Research: VINES: Track 1: NSF-JST: Neuro-symbolic AI-Native Design of Semantic Communications,” Grant (Currently Under Review). Sponsored By: NSF.
Lu, Ye, Song, Houbing. “Physics-constrained machine learning-enabled efficient grain growth modeling for 3D printed metals,” Grant Sponsored By: COEIT.
Intellectual Contributions
Li, David, Song, Houbing. (2025). GPS Spoofing on UAV Simulation using Ardupilot. 2025 International Wireless Communications and Mobile Computing (IWCMC) IEEE.
Renkhoff, Justus, Feng, Ke, Meier-Doernberg, Marc, Velasquez, Alvaro, Song, Houbing Herbert. (2024). A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence. 8. 5 15 IEEE Transactions on Artificial Intelligence.
Adil, Muhammad, Menon, Varun, Balasubramanian, Venki, Alotaibi, Sattam, Song, Houbing, Jin, Zhanpeng, Farouk, Ahmed. Survey: Self-Empowered Wireless Sensor Networks Security Taxonomy, Challenges and Future Research Directions. IEEE Sensors Journal.