Broadly, my research interests revolve around the systems and modeling challenges when computers collect and reason about multi-modal data to interact with the physical environment. Within this broad notion, my research primarily focuses on the cyber-physical systems and autonomous systems, increasing their reliability, intelligence and security in the wild. I argue for a holistic approach by leveraging tactics from wireless systems, machine learning, mobile robotics, usable security&privacy and design novel methods at the boundaries of these areas.

Chris Xiaoxuan Lu is a lecturer (assistant professor in US parlance) in the School of Informatics at the University of Edinburgh. His research aims to drastically improve the autonomy, robustness and security for emerging mobile agents such as safety-critical autonomous vehicles and posh AR/VR devices. He received his Ph.D degree from the University of Oxford and a M.Eng degree from Nanyang Technological University. He is the receipt of a Google-DeepMind PhD Scholarship and selected as one of the Heidelberg Laureate Forum Young Researchers. His research work has constantly appeared in leading venues of both applied AI (e.g., CVPR/WWW/AAAI/ICRA) and IoT systems (e.g., MobiCom/MobiSys/SenSys/UbiComp/IPSN), covered in mainstream media worldwide such as Hacker News, TechXplore, American Security Today, Sputnik, Malaysia Internet and Netease News.