Houbing Song

Assistant Professor of Electrical Engineering and Computer Science
Electrical Engineering and Computer Science Dept
Daytona College of Engineering

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

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 Engineering & Computer Science, 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 (2017-present), an Associate Editor for IEEE Internet of Things Journal (2020-present) and IEEE Journal on Miniaturization for Air and Space Systems (J-MASS) (2020-present), 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 IEEE GlobalSpec's Engineering360, Association for Unmanned Vehicle Systems International (AUVSI), USA Today, U.S. News & World Report, Fox News, 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), and the Best Paper Award from the 19th Integrated Communication, Navigation and Surveillance technologies (ICNS 2019) Conference. 

  • 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

  • CS 527 System Exploitation and Penetration Testing 
  • CEC 460 Telecommunications Systems 
  • CS 595B Cyber-Physical Systems 
  • SE 500 Software Engineering Discipline 
  • SE 555 Object-Oriented Software Construction 
  • SE 410 Software Modeling 
  • SE 610 Software Systems Architecture and Design  


Associate Technical Editor, IEEE Communications Magazine, 2017-present

Associate Editor, IEEE Internet of Things Journal, 2020-present

Associate Editor, IEEE Journal on Miniaturization for Air and Space Systems (J-MASS), 2020-present

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