Pan He

Pan He is an Assistant Professor in the Department of Computer Science and Software Engineering at Auburn University, part of the Samuel Ginn College of Engineering. His research focuses on developing deep learning techniques for real-time AI applications in infrastructure systems, including computer vision, 3D point cloud processing, and intelligent transportation.

Education:

• Ph.D. in Computer Science, University of Florida
• B.E. in Software Engineering, Sichuan University (2015)

His research interests include deep learning, computer vision, LiDAR, 3D perception, and adversarial machine learning. He develops AI techniques to empower downstream applications such as traffic signal control, anomaly detection, and infrastructure monitoring. Much of his work involves unsupervised and self-supervised learning on spatiotemporal data.

His recent publications span top venues like TPAMI, ICLR, NeurIPS, CVPR, and IEEE T-ITS, focusing on topics such as explainable video anomaly detection, backdoor attacks in 3D detection, and efficient LiDAR annotation. These works demonstrate a strong trend toward robust, real-time, and interpretable AI systems for real-world infrastructure.

Scientific Awards:

• 2025 ORAU Ralph E. Powe Junior Faculty Enhancement Award
• CVPR'22 and ICCV'21 Doctoral Consortium Awards
• Multiple Gartner Group Graduate Fellowships (2020–2022)
• Dean’s Award for Innovation and Creativity (SIAT, 2016)
• Best Bachelor Thesis Award (Sichuan University, 2015)

Pan He advises students who have earned recognitions such as the CRA Outstanding Undergraduate Researcher Honorable Mention and the Wolotsz Graduate Fellowship. He has secured research grants and is actively recruiting PhD, Master’s, and undergraduate students. He has served as an Associate Editor for IEEE TNNLS and has taught courses on deep learning and computer vision. He leads a research group focused on foundational AI for pervasive computing and infrastructure intelligence.