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Peng Sun

Assistant Professor of Data Science at Duke Kunshan University
DKU Faculty

Overview


Dr. Sun has a Bachelor of Engineering in Electrical Engineering and Automation for Soochow University, an M.Sc. in Electrical and Computer Engineering (Supervisor: Hassan Naser) from Lakehead University, Canada, and a Ph.D. in Electrical and Computer Engineering (Supervisor: Nancy Samaan) from the University of Ottawa, Canada, where he also served as a post-doctorate researcher from 2016 to 2020. Before joining Duke Kunshan, he was a research associate of PARADISE Research Laboratory at the University of Ottawa, which is led by Professor Azzedine Boukerche.

He is a senior member of IEEE (SMIEEE) and the author of more than 100 peer-reviewed journal and conference papers. He worked as the research associate for many research projects supported by the National Defense of Canada, Communications Research Centre Canada, and Natural Sciences and Engineering Research Council of Canada. Currently, he is an active reviewer for many prestigious journals, e.g., IEEE Transactions on Wireless Communications, Elsevier Ad Hoc Networks, ACM Computing Survey, etc. He also served as Technical Program Committee Co-chair/member in many top-tier conferences, e.g., ACM DIVANet'18~24, IEEE ISCC'19, ACM MSWiM'17~24, ACM/IEEE DS-RT’20 and IEEE ICC'20~24, etc. He services as an Editor for ACM International Conference Proceedings Series (ICPS) Editorial Board. He is the recipient of Best Paper Award at IEEE GLOBECOM in 2019. His work, entitled “A Novel Hierarchical Two-Tier Node Deployment Strategy for Sustainable Wireless Sensor Networks”,  was published in the prestigious IEEE Transactions on Sustainable Computing, and it was selected as one of the spotlight articles published in all IEEE Transactions as highlighted in the IEEE Computer V. 52(3), pp. 4-5, March 2019.

Current Appointments & Affiliations


Assistant Professor of Data Science at Duke Kunshan University · 2020 - Present DKU Faculty

Recent Publications


Efficient and Robust Collaborative Perception via Cross-Vehicle Spatio-Temporal Feature Selecting

Journal Article IEEE Transactions on Intelligent Transportation Systems · November 1, 2025 Collaborative perception systems enhance the perception capabilities of individual vehicles by facilitating information exchange between neighbouring vehicles. This approach effectively addresses challenges like occlusions and long-range perceptions that s ... Full text Cite

CNN-DAG-Editor: A Convolutional Neural Network offloading analyzer with Multi-Objective Dynamic Adaptive Resource Competitive Swarm Optimization

Journal Article Computer Networks · August 1, 2025 With the rapid development of artificial intelligence applications on mobile devices, there are increasing demands for optimizing the runtime, energy consumption, and cost-effectiveness of Convolutional Neural Networks (CNNs). These objectives often cannot ... Full text Cite

Networking Systems for Video Anomaly Detection: A Tutorial and Survey

Journal Article ACM Computing Surveys · May 7, 2025 The increasing utilization of surveillance cameras in smart cities, coupled with the surge of online video applications, has heightened concerns regarding public security and privacy protection, which propelled automated Video Anomaly Detection (VAD) into ... Full text Cite
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Education, Training & Certifications


Ottawa University · 2016 Ph.D.

External Links


Google scholar