Houbing Song

Houbing Herbert Song (FIEEE) is the Director of the Security and Optimization for Networked Globe Laboratory (SONG Lab) at the University of Maryland, Baltimore County in Baltimore, USA. He received a Ph.D. degree in Electrical Engineering from the University of Virginia in 2012.

Song was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2023 for contributions to big data analytics and integration of AI with Internet of Things. In 2022 he was named an Association for Computing Machinery (ACM) Distinguished Member for Outstanding Scientific Contributions to Computing.

Since 2021, Song has been a Highly Cited Researcher identified by Clarivate/Web of Science. Song's research has been cited over 29,000 times and Song has an h-index over 80.

Awards and honors

 * Fellow of the Institute of Electrical and Electronics Engineers (IEEE)
 * Highly Cited Researcher in the field of Computer Science - 2023
 * Highly Cited Researcher in the field of Computer Science - 2022
 * Highly Cited Researcher in the field of Cross-Field - 2021
 * Distinguished Member of the Association for Computing Machinery (ACM)
 * Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA)
 * 2024 AI 2000 Most Influential Scholar Award Honorable Mention in Internet of Things
 * 2023 AI 2000 Most Influential Scholar Award Honorable Mention in Internet of Things
 * 2022 Research.com Rising Star of Science, Research.com
 * 2021 Harry Rowe Mimno Award, IEEE Aerospace and Electronic Systems Society
 * Distinguished Speaker of the Association for Computing Machinery (ACM)
 * IEEE Computer Society Distinguished Visitor
 * IEEE Communications Society (ComSoc) Distinguished Lecturer
 * IEEE Intelligent Transportation Systems Society (ITSS) Distinguished Lecturer
 * IEEE Systems Council (SYSC) Distinguished Lecturer
 * IEEE Vehicular Technology Society (VTS) Distinguished Lecturer

Books

 * Quantum Machine Learning: Quantum Algorithms and Neural Networks, ISBN 9783111342276, 2024, De Gruyter
 * Federated Learning for Digital Healthcare Systems, ISBN 9780443138973, 2024, Elsevier
 * Access Control and Security Monitoring of Multimedia Information Processing and Transmission, ISBN 978-1-83953-693-9, 2023, IET Press
 * Aviation Cybersecurity: Foundations, principles, and applications, ISBN 978-1839533211, 2022, IET Press
 * Smart Transportation: AI Enabled Mobility and Autonomous Driving, ISBN 978-0367352967, 2021, CRC Press
 * Big Data Analytics for Cyber-Physical Systems, ISBN 9780128166376, 2019, Elsevier
 * Security and Privacy in Cyber-Physical Systems: Foundations and Applications, ISBN 978-1-119-22604-8, 2017, Wiley-IEEE Press
 * Smart Cities: Foundations, Principles and Applications, ISBN 978-1119226390, 2017, Wiley
 * Secure and Trustworthy Transportation Cyber-Physical Systems, ISBN 978-981-10-3891-4, 2017, Springer
 * Cyber-Physical Systems: Foundations, Principles and Applications, ISBN 978-0-12-803801-7, 2016, Elsevier
 * Industrial Internet of Things: Cybermanufacturing Systems, ISBN 978-3-319-42558-0, 2016, Springer

Press references

 * Synthetic Data Supports State and Local Government AI Initiatives- StateTech
 * Bits, Bytes, Buildings and Bridges: Digital-Driven Infrastructure- IEEE Transmitter
 * Heard on the Street – 3/14/2024: Neuro-symbolic AI: The Third Wave of AI- insideBIGDATA
 * The Third Wave of AI: Neuro-symbolic AI- CXO Tech Magazine
 * Artificial Intelligence Is a Top Priority for Tech Leaders in 2024- IEEE Spectrum
 * Getting AI Right: 3 Challenges for the Future- IEEE Transmitter
 * Impact of Technology in 2024- IEEE Transmitter
 * Building AI We can Trust- UMBC Magazine
 * Revolution of AI Models?- CXO Tech Magazine
 * New technology 'highjacks' intrusive drones- IEEE GlobalSpec
 * Fla. Professor Invents Artificial Intelligence Program to Hijack Rogue Drones- Security, the business magazine for security executives
 * AI system grabs the reins of wayward drones- New Atlas
 * Embry-Riddle professor develops counter-UAS tech that safely grounds unauthorized UAS- Association for Unmanned Vehicle Systems International (AUVSI)
 * Dronejacker: Daytona Professor Invents Intelligent System- U.S. News & World Report
 * Embry-Riddle team develops drone hijacking technology to secure critical airspace- Fox News
 * Dronejacker: Daytona professor invents intelligent system- The Washington Times
 * Embry-Riddle start-up develops technology that safely disables rogue drones- Tech Transfer Central
 * Is It Possible To Safely and Legally Take Control Of A Rogue Drone?- Irish Tech News
 * Embry-Riddle y Drone Defense Systems presentan su antidrón inteligente- IDS, Defense and Security Information
 * Embry-Riddle and Drone Defense Systems Launch C-UAV System- Battle Space
 * Embry-Riddle, Drone Defense Systems to Commercialize CUAS Technology- Defense Daily

Patents

 * UAS Detection and Negation- US20210197967A1
 * UAS Detection and Negation- WO2020236328A3

Publications

 * A Decade Survey of Transfer Learning (2010–2020)- IEEE Transactions on Artificial Intelligence
 * A Survey on Symbolic Knowledge Distillation of Large Language Models- IEEE Transactions on Artificial Intelligence
 * Neurosymbolic Reinforcement Learning and Planning: A Survey- IEEE Transactions on Artificial Intelligence
 * A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence- IEEE Transactions on Artificial Intelligence
 * Counter-Unmanned Aircraft System(s) (C-UAS): State of the Art, Challenges, and Future Trends- IEEE Aerospace and Electronic Systems Magazine
 * Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey- IEEE Internet of Things Journal
 * Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures- IEEE Communications Surveys & Tutorials
 * Differential Privacy for Industrial Internet of Things: Opportunities, Applications, and Challenges- IEEE Internet of Things Journal