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Have you ever dreamed of building your own “smart” self-driving racing car? At Duke Kunshan University’s AI-powered Self-Driving Summer Program, that dream can become a reality! Through AWS DeepRacer, a miniature self-driving racing car that can learn and evolve through machine learning, you will embark on an exciting AI journey from scratch!
In this course, you will discover how self-driving cars make “smart” decisions on the road. You will get hands-on experience operating your own AWS DeepRacer, teaching it to stay in its lane, make sharp turns, and even compete in racing competitions! From assembling the car to fine-tuning its performance, you will experience the thrill of the track and the fascinating fusion of technology and speed!
Bing Luo is an Assistant Professor at Duke Kunshan University (DKU). He also serves as an Adjunct Assistant Professor at the University of Hong Kong and an Adjunct Professor at Wuhan University. Prior to joining DKU, he was a joint Postdoc Researcher at The Chinese University of Hong Kong (Shenzhen) and Yale University. He received his Ph.D. from The University of Melbourne, where he was awarded both the Kenneth Myers Memorial Scholarship (granted to one recipient every two years) and the Robert Bage Memorial Scholarship. Prior to his academic career, he gained several years of industry experience as a Project Manager at China Mobile Corporation Headquarters. Dr. Luo was recently awarded the Clare Hall Visiting Fellowship at the University of Cambridge, which will support his pre-tenure sabbatical research in Fall 2026.
His research focuses on the theory and practice of federated and edge learning, as well as LLM-based agentic systems. His work has been published in leading journals and conferences including IEEE JSAC, TCOM, TMC, INFOCOM, ICDCS, and ACM MobiHoc. His team has developed and open-sourced FedKit, the world’s first cross-platform on-device federated learning framework for both Android and iOS, which has been deployed in FedCampus, DKU’s privacy-preserving health data platform. His group also developed and launched ChatDKU (chatdku.dukekunshan.edu.cn), a RAG-agent AI chatbot designed for the DKU community. He is a senior member of the IEEE. For more information, please visit his webpage:
Paul Weng is a tenured associate professor at Duke Kunshan University. Before joining Duke Kunshan, he was an associate professor at the University of Michigan-Shanghai Jiao Tong University Joint Institute. Besides, he was a regular or visiting faculty member of many universities (Sorbonne Université, Carnegie Mellon University, Sun Yat-sen University, University of Nottingham Ningbo China). Before joining academia, he was a financial quantitative analyst in London, UK. As a researcher, he regularly publishes in top AI and machine learning venues (e.g., IJCAI, AAAI, ICML…). He has served as an area chair at AAAI and ECAI. Several of his papers received a best paper award (e.g., MIWAI, ALA). His work has been funded both by public funding agencies (NSFC, Shanghai NSF) and private companies (Yahoo, Huawei, Netease).
His main research work lies in artificial intelligence (AI) and machine learning. Notably, it focuses on (deep) reinforcement learning, a research direction he has been exploring for more than 10 years.
For more information, please visit his webpage: https://weng.fr/
Email: DKU-GSI@dukekunshan.edu.cn
