Dr. Houbing Song

Assistant Professor of Electrical Engineering and Computer Science Embry-Riddle Aeronautical University

Houbing Song 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 is an AI and Counter Cyber for Autonomous Unmanned Collective Control Subject Matter Expert selected by the United States Special Operations Command (USSOCOM). 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 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, 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 USA Today, U.S. News & World Report, Fox News, Forbes, WFTV, and New Atlas.

Dr. Song is a senior member of both IEEE and 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 19th Integrated Communication, Navigation and Surveillance technologies (ICNS 2019) Conference, and the prestigious Air Force Research Laboratory's Information Directorate (AFRL/RI) Visiting Faculty Research Fellowship in 2018. 

Focus Day

Sunday, May 12th, 2019

10:45 AM AI-Enabled UAS Detection and Negation

• Building a network of wireless acoustic sensors to identify sUAS
• Using AI to distinguish between sUAS and other flying objects
• Computer-based “brain” called a neural network that is continuously learning and getting smarter at detection

Check out the incredible speaker line-up to see who will be joining Dr, Houbling.

Download The Latest Agenda