Houbing Song

Title
Assistant Professor
Email
Department
Electrical Engineering and Computer Science Dept
College
College of Engineering

Office Hours

W: 10 AM-11 AM; F: 2 PM-3:30 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). SONG Lab graduates work in a variety of companies and universities. Those seeking academic positions have been hired as tenure-track assistant professors at universities like Auburn University, Bowling Green State University, and University of Tennessee.  

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), IEEE Transactions on Intelligent Transportation Systems (2021-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 Network, IEEE Transactions on Industrial Informatics, IEEE Sensors Journal, IEEE Transactions on Intelligent Transportation Systems, and IEEE Journal of Biomedical and Health Informatics. He is the editor of eight books, including Aviation Cybersecurity: Foundations, principles, and applications, Scitech Publishing, 2022, Smart Transportation: AI Enabled Mobility and Autonomous Driving, CRC Press, 2021, 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 and the inventor of 2 patents (US & WO). His research interests include cyber-physical systems/internet of things, cybersecurity and privacy, AI/machine learning/big data analytics, edge computing, unmanned aircraft systems, connected vehicle, smart and connected health, and wireless communications and networking. His research has been sponsored by federal agencies (including US Department of Transportation, National Science Foundation, Federal Aviation Administration, US Department of Defense, and Air Force Research Laboratory) and industry. His research has been featured by popular news media outlets, including IEEE GlobalSpec's Engineering360, Association for Unmanned Vehicle Systems International (AUVSI), Fox News, USA Today, U.S. News & World Report, Forbes, The Washington Times, WFTV, New Atlas, Battle Space and Defense Daily.

Dr. Song is a senior member of both IEEE and ACM, and an ACM Distinguished Speaker. 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, the Best Paper Award from the 6th IEEE International Conference on Cloud and Big Data Computing (CBDCom 2020), and the Best Paper Award from the 15th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2020). 


  • Ph.D. - Doctor of Philosophy in Electrical Engineering, University of Virginia-Main Campus
  • M.S. - Master of Science in Civil Engineering, The University of Texas at El Paso

  • CS 529: Computer Security
  • CS 800: Dissertation
  • CS 432: Info & Computer Security
  • SE 410: Software Modeling
  • CS 527: Sys Exploit and Penetrtion Tst
  • CS 427: Sys Exploit and Penetrtion Tst
  • CEC 460: Telecommunications Systems
  • MMSE 700: Thesis

  • 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  


​​https://scholar.google.com/citations?user=iJ_XxxoAAAAJ&hl=en


Associate Editor, IEEE Transactions on Intelligent Transportation Systems, 2021-present

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


Distinguished Speaker, Association for Computing Machinery (ACM)

Best Paper Award, 15th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2020)

Best Paper Award, 6th IEEE International Conference on Cloud and Big Data Computing (CBDCom 2020)

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