Kangming Li has recently joined King Abdullah University of Science and Technology (KAUST) as an Assistant Professor in the Materials Science and Applied Physics (MSAP) program. His research bridges artificial intelligence (AI) and materials science, with a focus on developing data-driven methods to accelerate discovery in complex physical systems.
Li leads the newly established research group AI for Materials (AI4Mat). His work investigates how machine learning can be integrated into modeling pipelines and experimental research to generate high-quality materials data, uncover hidden patterns, and accelerate materials discovery in more targeted and efficient ways.
“We’re entering a new phase in scientific research,” he explains, “in which AI is not just a tool for automation, but a partner in discovery.”
In his initial years at KAUST, Li will focus on developing robust machine learning frameworks to tackle sustainability challenges in materials science. His research spans a wide spectrum of applications—from catalysis and membranes to solar energy conversion, and energy storage systems such as next-generation batteries. These diverse areas reflect his broader aim to accelerate the design of functional materials critical to clean energy and environmental technologies.
“These materials enable essential processes—from hydrogen production and CO₂ capture to solar-powered systems and battery technologies,” says Li. “By integrating AI into both modeling and experimentation, we’re not just accelerating discovery—we’re charting a more intentional path toward impactful, scalable solutions for a sustainable future.”
Having recently returned from a two-month stay in China, Li is now settling into the KAUST community and resuming his research. Outside the lab, he is eager to explore KAUST’s sports facilities and the nearby Red Sea coast.
Li believes strongly in the role of intellectual curiosity and self-motivation in science. Quoting Steve Jobs, he shares what has become his personal motto:
“Stay hungry. Stay foolish.”
“Together, this motto reflects the creative tension that drives innovation,” adds Li, “the ambition to explore more, and the wisdom to accept uncertainty. Especially in fields like AI and materials science, where the frontier is constantly shifting, this mindset is not just inspiring—it’s necessary.”
To students considering a career in research, he offers this advice:
Be proactive and resilient. Opportunities are rarely handed to you—you create them. Success is never final, and failure isn’t fatal.
Further details about Li’s academic background and current projects can be found on his faculty profile.
Welcome again to Professor Kangming Li!
