Houbing Herbert Song, Ph.D., IEEE Fellow
Associate Professor
Information Systems Department
UMBC
12 noon–1pm
Friday, November 15, 2024
Remotely via WebEx: https://umbc.webex.com/meet/sherman
Abstract:
The mutual needs and benefits of AI and cybersecurity have been widely recognized. AI techniques are
expected to enhance cybersecurity by assisting human system managers with automated monitoring, analysis, and
responses to adversarial attacks. Conversely, it is essential to guard AI technologies from unintended uses and hostile
exploitation by leveraging cybersecurity practices. The interplay between AI/machine learning, and cybersecurity
introduces new opportunities and challenges in the security of AI as well as AI for cybersecurity. In this talk, I will
present my perspective on AI for cybersecurity and the security of AI.
About the Speaker:
Houbing Herbert Song (F’23) received the Ph.D. degree in electrical engineering from the University
of Virginia, Charlottesville, VA, in August 2012.
He is currently an Associate Professor, the Founding Director of the NSF Center for Aviation Big Data Analytics, 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 Optimization for Networked Globe Laboratory (SONG Lab,
www.SONGLab.us), University of Maryland, Baltimore County (UMBC), Baltimore, MD. He has been the Founding
Chair of Trustworthy Internet of Things (TRUST-IoT) Working Group within IEEE IoT Technical Community since
2024. He is a Distinguished Visiting Fellow of the Scottish Informatics and Computer Science Alliance (SICSA). 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 Miniaturization 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 10+ 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, StateTech
Magazine, Association for Uncrewed Vehicle Systems International (AUVSI), Security Magazine, CXOTech Magazine,
Fox News, U.S. News & World Report, The Washington Times, and New Atlas.
Dr. Song is an IEEE Fellow, an Asia-Pacific Artificial Intelligence Association (AAIA) Fellow, an ACM
Distinguished Member, and a Full Member of Sigma Xi. Dr. 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). Dr. Song received Research.com Rising Star of Science Award in 2022, IEEE 2021 Harry Rowe Mimno Award,
and 10+ Best Paper Awards from major international conferences. He has been an IEEE Impact Creator since 2023.
Host:
Alan T. Sherman, sherman@umbc.edu
Support for this event was provided in part by the National Science Foundation under SFS grant DGE-1753681.
The UMBC Cyber Defense Lab meets biweekly Fridays 12-1pm. All meetings are open to the public.
Upcoming CDL meetings:
December 6, Zhiuan Chen (IS, UMBC), Privacy