Bio
Mingyan Li is a senior cybersecurity researcher at Oak Ridge National Laboratory (ORNL). She joined ORNL in 2021 after working at Boeing Research and Technology for 15 years. She received a Ph.D. in electrical engineering from the University of Washington. Her research interests include cyber security data analytics, the internet of things (IoT)/cloud system security/privacy, and key management within and beyond distributed computing and transportation system domains.
Her recent work includes secure sensor networks for nuclear/radioactive material transportation security, IoT group key management framework, secure timing protocols, and differential privacy for data privacy. Mingyan recently led a team to win an ORNL Laboratory-Directed Research and Development award for a proposal to enhance IoT security posture using TinyML (tiny machine learning for IoT) and federated learning. She is a recipient of the 2017 Boeing Engineering Excellence Team Award for technical contribution to a secure cloud-based airplane data sharing platform. Mingyan has published more than 40 journal and conference papers, and received a total of nine US patents with three more currently under evaluation.
Trademarks and Patents
• US patent pending, “System, Method, and Program for Analyzing Vehicle System Logs”, filed May 2022
• US patent 11374744, “Threshold Scheme Enabled Symmetric Key Group Member Deletion”, June 2022
• US patent pending, “An Identity-Based Cryptographic Method for e-Enabled Aircraft”
• US patent 10659477, “Method and System for Vehicle Cyber-Attack Event Detection”, May 2020
• US patent 9336248, “Anomaly Detection in Chain-Of-Custody Information”, May 2016
• US patent 9436730, “Methods and Systems for Validating Input Data”, Sep 2016
• US patent 8973101, “Method and Apparatus for Authenticating Information Received at An Airport Surface Wireless Node”, Jan 2015
• US patent 8769608, “Airport Security System”, Jul 2014
• US patent 8391493, “Probabilistic Mitigation of Control Channel Jamming via Random key Distribution in Wireless Communications Networks”, Mar 2013
• US patent 8607351, “Modelling Cyberspace Attacks”, Dec 2013