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Human-Centered Spatiotemporal Modeling and Simulation in The Era of Infrastructure

Friday, March 15, 2024


March 15th, 2024

10am CST

Livestreamed on Zoom @ https://auburn.zoom.us/j/81706339239

Recorded for later viewing at https://eng.auburn.edu/ai-au/forum

 

Dr. Pan He, Dept. of Computer Science & Software Engineering, Auburn University

Abstract:

With the advent of increasingly affordable and innovative sensors, there has been a surge in interest surrounding the development of infrastructure applications that have a substantial impact on society and influence people’s lives. However, the complexity arises from the fact that obtaining sensory data from real-world infrastructure is time-consuming and expensive, posing a major challenge in efficiently processing and understanding this data. Effectively connecting various spatiotemporal information perceived in these applications adds another layer of intricacy. In this talk, I am thrilled to share insights from my recent research on spatiotemporal visual and point cloud modeling. Specifically, I will delve into the realm of understanding motion and correspondence within dynamic point cloud sequences, requiring minimal human annotations. Moreover, I will showcase the integration of human intelligence into AI systems, emphasizing its role in enhancing model prediction and facilitating data annotation. The presentation will culminate in a discussion on ongoing research endeavors, including the construction of a high-fidelity 3D simulation environment for traffic scenarios. This environment will not only support auto-generate diverse traffic scenarios but also incorporate sensor data for reducing synthetic-to-real domain gap. This research focuses on systematically evaluating and improving services and safety for all road users, contributing to topics such as traffic signal control, transportation decarbonization, and traffic safety measures, thereby potentially reducing traffic congestion and incidents and improving overall quality of life. The research anticipates the rise of connected and automated vehicles, fostering research in multi-agent and collaborative perception.

Bio:

Dr. Pan He is an Assistant Professor in the Department of Computer Science and Software Engineering at Auburn University, Alabama. He mainly works in computer vision, machine learning, and smart infrastructure by developing fundamental AI techniques and integrating them to support downstream applications in next-generation infrastructure systems. He has authored or co-authored one book, one technical report for the Florida Department of Transportation and over 25 peer-reviewed journals and conference articles. The audiences can find more information on his website located at https://panhe.org/ He obtained his PhD in the Department of Computer and Information Science and Engineering, University of Florida (UFL) in August 2023. He received a B.E. degree with honors from the Department of Software Engineering at Sichuan University in June 2015. From 2014-2016, he worked as a Research Assistant in the Multimedia Lab at the Chinese University of Hong Kong and Multimedia Research Center, Shenzhen Institute of Advanced Technology, during which he received the Dean’s Award for Innovation and Creativity. At UFL, he worked as a research assistant at the CISE MALT lab after a one year ECE master program at the NSF Center for Big Learning. He received the International Center Outstanding Achievement Award (2021) and Gartner Group Graduate Fellowships (2020, 2021, and 2022). In addition, he received the Doctoral Consortium Awards at International Conference on Computer Vision (ICCV) 2021 and Conference on Computer Vision and Pattern Recognition (CVPR) 2022. He has been serving as an associate editor for IEEE Transactions on Neural Networks and Learning Systems (TNNLS) since 2024. For more details about the speaker, please click here: https://panhe.org/