Biography

Mr. Ding's current research focuses on pedestrian dynamics based on VR technology. Prior to this, he gained experience working at an autonomous driving company. During his graduate studies, his main research areas were event cameras and flame detection.

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Background of Education

• 2024- present, PhD in Department of Building Environment and Energy Engineering, Hong Kong Polytechnic University

• 2020-2023, M.Eng in State Key Laboratory of Fire Science, University of Science and Technology of China

• 2016-2020,B.Eng in Department of Safety Engineering, Chang'an University

 

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Research Areas

Pedestrian Evacuation, Virtual Reality, Event-based Camera, Flame Detection

 

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Publications

• S. Ding, J Chen, Y Wang, Y Kang, W Song, J Cheng, Y Cao, E-MLB: Multilevel Benchmark for EventBased Camera Denoising, IEEE Transactions on Multimedia, 2024

• L Wang, S Ding, H Yu, X Li, J Zhang, W Song, Influence of pre-bottleneck diversion devices on pedestrian flow, Journal of Statistical Mechanics: Theory and Experiment, 2023

• F, Xu, S Ding, and Y Hou. Cellular Automata Model Considering Pedestrian Obstacle Avoidance Behavior, Journal of Nanjing Tech University (Natural Science Edition, 2021

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