Summary
Ke Li is a UKRI Future Leaders Fellow and Reader in Computer Science at the University of Exeter with a decade of research experience building intelligent, adaptive systems that learn from experience and adapt to dynamic environments. He leads a well-funded group (over £11.5M accumulated) and holds major fellowships including UKRI FLF and two Alan Turing Institute fellowships, with a substantial co-PI role in a large Royal Society Faraday Discovery Fellowship. Ke's work sits at the intersection of evolutionary computation, multi-objective optimization and AI, and he has been ranked among Stanford’s Top 2% Scientists since 2020. He regularly chairs and organizes top conferences (EMO, IEEE CEC) and serves on editorial boards of leading journals in computational intelligence. Beyond publications and grants, Ke contributes to research policy as a frequent national and international grant reviewer and panel member, reflecting influence across academia and funding agencies.
10 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Xiangtan University
Doctor of Philosophy (Ph.D.) Computer Sciences, Doctor of Philosophy (Ph.D.) Computer Sciences at City University of Hong Kong
English, Chinese