Yongxin Liu (Senior Member, IEEE) received the first Ph.D. degree from the South China University of Technology, Guangzhou, China, in 2018, and the second Ph.D. degree from the Department of Electrical Engineering and Computer Science, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA, in 2021. He is an Assistant Professor of Data Science with Embry-Riddle Aeronautical University. He is the creator of Zero-Bias Deep Learning, which is applied in explainable AI and anomaly detection. He is 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. His recent research project is funded under USDOT Tier 1 UTC Transportation Cybersecurity Center for Advanced Research and Education. His research focuses on explainable AI for aviation, unmanned aerial systems, and Internet of Things. Dr. Liu has received four best papers awards and the 2021 Harry Rowe Mimno Award from IEEE Aerospace and Electronics Systems Society.