Yongxin Liu
- Title
- Assistant Professor
- Yongxin.Liu@erau.edu Email
- Department
- Mathematics Department
- College
- College of Arts & Sciences
Areas of Expertise
Artificial Intelligence, Cyber-Physical Systems
External Links
The views expressed on faculty and external web pages are those of the author and do not necessarily represent those of Embry-Riddle Aeronautical University.
Biography
Dr. Yongxin (Jack) Liu received his first Ph.D. with a focus on Big Data Analytics in Intelligent Transportation Systems from the South China University of Technology in 2018, and received his second Ph.D. in 2021 in Computer Science with a focus on the Mathematical assurance of deep neural network from Embry-Riddle Aeronautical University. His current research focuses on Explainable AI for aviation, Unmanned Aerial Systems, Smart Manufacturing and Internet of Things.
Dr. Liu is the creator of zero-bias deep learning, which is applied in explainable AI and anomaly detection. He's also the creator of the Channel Separation Incremental Learning algorithm, which harnesses the catastrophic forgetting issues in deep learning with mathematical assurance and applied in ADS-B signal identification systems. Other than that, his early work in unauthorized drone detection has resulted in two patents and was cited as first reference by the Department of Defense in August 2021. Dr. Liu has received 4 best papers awards from international conferences and the 2021 Harry Rowe Mimno award from IEEE Aerospace and Electronics Systems Society. Dr. Liu’s also has a strong profolio in Big Data Analytics in Transportations and has been the PI of the following projects sponsored by U.S. Department of Transportation (USDoT):
- Machine Learning for Dynamic Airspace Reconfiguration Under Emergency Situations
- Improving Air Mobility Under Emergency Situations
His recent research project is funded under USDoT Tier 1 UTC Transportation Cybersecurity Center for Advanced Research and Education (CYBER-CARE). Dr. Liu’s research thrust in CYBER-CARE is Trustworthy AI in the NextGen Transportation Systems.
Dr.Liu looks forward to working together in continuing to help shape the cybersecurity, cyber resilience, and cyber safety of the global aerospace ecosystem.
Education
- Ph.D. - Doctor of Philosophy in Electrical Engineering and Computer Science, Embry-Riddle Aeronautical University
- M. - Master in Engineering: Agricultural Electrification and Automation, South China Agricultural University
- B. - Bachelor in Engineering: Communicarion Engineering, South China Agricultural University
Publications
- Resource Optimization for Air Mobility Under Emergency Situations Math Department Colloquium Series (2024)
- Guest Editors' Introduction to Special Issue: Artificial Intelligence in Aviation Journal of Aviation/Aerospace Education & Research (2024)
- Zero-Bias Deep Neural Network for Quickest RF Signal Surveillance Publications (2021)
- Real-Time Machine Learning for Quickest Detection Doctoral Dissertations and Master's Theses (2021)
- Class-Incremental Learning for Wireless Device Identification in IoT Publications (2021)
- Zero-bias Deep Learning Enabled Quick and Reliable Abnormality Detection in IoT Publications (2021)
- UAS Detection and Negation Publications (2020)
- Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices Publications (2020)
- Uncertainty Theory Based Reliability-Centric Cyber-Physical System Design Publications (2019)
Memberships and Credentials
IEEE Senior MemberAwards, Honors and Recognitions
2021 Harry Rowe Mimno Award, IEEE Aerospace and Electronic Systems Society
Best Paper Award, IEEE GLOBECOM 2021
Best Paper Award, WASA 2020
Best Paper Award, IEEE CBDCom 2020
Best Paper Award, IEEE CPSCom-2019