Houbing Song

Assistant Professor of Electrical Engineering and Computer Science
Electrical, Computer, Software & Systems Engr Dept
Daytona College of Engineering
Daytona Beach campus

Office Hours

WF: 1-2 PM

Areas of Expertise

AI/Machine Learning, Cyber-Physical Systems, Cybersecurity and Privacy, Unmanned Aircraft Systems, Communications and Networking

Houbing Song (M’12–SM’14) received the Ph.D. degree in electrical engineering from the University of Virginia, Charlottesville, VA, in August 2012, and the M.S. degree in civil engineering from the University of Texas, El Paso, TX, in December 2006.

In August 2017, he joined the Department of Electrical, Computer, Software, and Systems Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL, where he is currently an Assistant Professor and the Director of the Security and Optimization for Networked Globe Laboratory (SONG Lab, www.SONGLab.us). He served on the faculty of West Virginia University from August 2012 to August 2017. In 2007 he was an Engineering Research Associate with the Texas A&M Transportation Institute. He has served as an Associate Technical Editor for IEEE Communications Magazine and a Guest Editor for IEEE Journal on Selected Areas in Communications (J-SAC), IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, IEEE Sensors Journal, IEEE Transactions on Intelligent Transportation Systems, and IEEE Network. He is the editor of six books, including Big Data Analytics for Cyber-Physical Systems: Machine Learning for the Internet of Things, Elsevier, 2019,  Smart Cities: Foundations, Principles and Applications, Hoboken, NJ: Wiley, 2017, Security and Privacy in Cyber-Physical Systems: Foundations, Principles and Applications, Chichester, UK: Wiley-IEEE Press, 2017, Cyber-Physical Systems: Foundations, Principles and Applications, Boston, MA: Academic Press, 2016, and Industrial Internet of Things: Cybermanufacturing Systems, Cham, Switzerland: Springer, 2016.  He is the author of more than 100 articles. His research interests include cyber-physical systems, cybersecurity and privacy, internet of things, edge computing, AI/machine learning, big data analytics, unmanned aircraft systems, connected vehicle, smart and connected health, and wireless communications and networking. His research has been featured by popular news media outlets, including Engineering360, USA Today, U.S. News & World Report, Fox News, Association for Unmanned Vehicle Systems International (AUVSI), Forbes, WFTV, and New Atlas.

Dr. Song is a senior member of ACM. Dr. Song was a recipient of the Best Paper Award from the 12th IEEE International Conference on Cyber, Physical and Social Computing (CPSCom-2019), the Best Paper Award from the 2nd IEEE International Conference on Industrial Internet (ICII 2019), the Best Paper Award from the 19th Integrated Communication, Navigation and Surveillance technologies (ICNS 2019) Conference, and the very first recipient of the Golden Bear Scholar Award, the highest campus-wide recognition for research excellence at West Virginia University Institute of Technology (WVU Tech), in 2016. 

  • Ph.D. - Doctor of Philosophy in Electrical Engineering, University of Virginia
  • M.S. - Master of Science in Civil Engineering, University of Texas System : El Paso

  • CEC 460: Telecommunications Systems
  • EE 690: Graduate Project
  • SE 410: Software Modeling
  • MMSE 700: Thesis
  • CS 700: Graduate Thesis
  • CS 527: Sys Exploit and Penetrtion Tst
  • CS 800: Dissertation
  • CS 699: Special Topics in Comp Science


Senior Member, IEEE

Senior Member, ACM

Best Paper Award, 2nd IEEE International Conference on Industrial Internet (ICII 2019)

Best Paper Award, 12th IEEE International Conference on Cyber, Physical and Social Computing (CPSCom-2019) 

Best Paper Award, 19th IEEE/AIAA Integrated Communication, Navigation and Surveillance technologies Conference (ICNS 2019)-Cybersecurity Track

​Golden Bear Scholar Award, West Virginia University, 2016