IEEE UK & Ireland ComSoc | Distinguished Lecture Tour by Prof Houbing Herbert Song Announced
IEEE UK & Ireland ComSoc is pleased to host a distinguished lecture tour by Prof Houbing Herbert Song.
The IEEE Distinguished Lecturer Program (DLP) is one of the most exciting offerings available to the ComSoc Chapter members and non-members. It connects senior IEEE ComSoc members, who are renowned communications technology experts, with ComSoc chapters so they can share their knowledge, expertise, and insights into the future of communications technology.
This lecture series delves into the role of AI and Machine Learning in advancing Networked Systems and Cybersecurity. Key topics include AI-driven Cybersecurity, Secure Transportation Systems, Neuro-symbolic AI, Counter-Unmanned Aircraft Systems, and Rapid Event Detection. Join us to explore ground-breaking innovations and future trends shaping a secure, reliable, AI-powered world.
| Date | Title | Location | Event Link |
|---|---|---|---|
| 19th November, 15:30 – 17:00 | Networked Systems and Security Research in the Age of AI/Machine Learning | Edinburgh Napier University | Find out more |
| 20th November, 13:30 – 15:00 | AI for Cybersecurity and Security of AI | Edinburgh Napier University | Find out more |
| 21st November, 14:00 – 15:00 | AI/Machine Learning for Internet of Dependable and Controllable Things | University of Edinburgh | Find out more |
| 25th November, 13:00-14:00 | Secure and Trustworthy Transportation Cyber-Physical Systems | University of Strathclyde | Find out more |
| 26th November, 13:00-14:00 | Third Wave of AI: Neuro-symbolic AI (Neurosymbolic AI: Past, Present, and Future) | University of Strathclyde | Find out more |
| 27th November, 14:30-15:30 | Counter-Unmanned Aircraft System(s) (C-UAS): State of the Art, Challenges and Future Trends | Heriot-Watt University | Find out more |
| 28th November, 14:30-15:30 | Quickest Event Detection in the Age of AI/Machine Learning | Heriot-Watt University | Find out more |
About the Speaker
Houbing Herbert Song (M’12–SM’14-F’23) received the PhD in electrical engineering from the University of Virginia, Charlottesville, VA, in August 2012. He is currently a Professor, the Founding 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 Optimisation for Networked Globe Laboratory (SONG Lab, www.SONGLab.us), University of Maryland, Baltimore County (UMBC), Baltimore, MD. He is a Distinguished Visiting Fellow of the Scottish Informatics and Computer Science Alliance (SICSA).
Prior to joining UMBC, he was a Tenured Associate Professor of Electrical Engineering and Computer Science at Embry-Riddle Aeronautical University, Daytona Beach, FL. He serves as an Associate Editor for IEEE Transactions on Artificial Intelligence (TAI) (2023-present), IEEE Internet of Things Journal (2020-present), IEEE Transactions on Intelligent Transportation Systems (2021-present), and IEEE Journal on Miniaturisation for Air and Space Systems (J-MASS) (2020-present). He was an Associate Technical Editor for IEEE Communications Magazine (2017-2020). He is the editor of ten books, the author of more than 100 articles and the inventor of 2 patents. His research interests include AI/machine learning/big data analytics, cyber-physical systems/internet of things, and cybersecurity and privacy.
His research has been sponsored by federal agencies (including National Science Foundation, National Aeronautics and Space Administration, US Department of Transportation, and Federal Aviation Administration, among others) and industry. His research has been featured on popular news media outlets, including IEEE Spectrum, IEEE GlobalSpec’s Engineering360, IEEE Transmitter, insideBIGDATA, Association for Uncrewed Vehicle Systems International (AUVSI), Security Magazine, CXOTech Magazine, Fox News, U.S. News & World Report, The Washington Times, and New Atlas.
Prof Song is an IEEE Fellow, an Asia-Pacific Artificial Intelligence Association (AAIA) Fellow, an ACM Distinguished Member, and a Full Member of Sigma Xi. Prof Song has been a Highly Cited Researcher identified by Web of Science since 2021. He is an ACM Distinguished Speaker (2020-present), an IEEE Computer Society Distinguished Visitor (2024-present), an IEEE Communications Society (ComSoc) Distinguished Lecturer (2024-present), an IEEE Intelligent Transportation Systems Society (ITSS) Distinguished Lecturer (2024-present), an IEEE Vehicular Technology Society (VTS) Distinguished Lecturer (2023-present) and an IEEE Systems Council Distinguished Lecturer (2023-present).
Prof Song received Research.com Rising Star of Science Award in 2022, 2021 Harry Rowe Mimno Award bestowed by IEEE Aerospace and Electronic Systems Society, and 10+ Best Paper Awards from major international conferences, including IEEE CPSCom-2019, IEEE ICII 2019, IEEE/AIAA ICNS 2019, IEEE CBDCom 2020, WASA 2020, AIAA/ IEEE DASC 2021, IEEE GLOBECOM 2021 and IEEE INFOCOM 2022. He has been an IEEE Impact Creator since 2023.