Summary
Jianfei Yang is an Assistant Professor and director of the MARS Lab at NTU Singapore, specializing in Physical AI, Multimodal AIoT, and Embodied AI to boost the intelligence, robustness, and security of robotics and IoT systems. He holds a Ph.D. from NTU (best thesis award), has held visiting positions at Harvard and the University of Tokyo, and was a Presidential Postdoc Fellow and senior research engineer at UC Berkeley. Recognized among Stanford’s Top 2% Scientists and Forbes Asia 30 Under 30 (2024), he combines deep academic rigor with a competitive streak—having led teams to first place in over 10 international AI challenges. Jianfei’s work uniquely blends TinyML, trustworthy ML for edge devices, and hands-on robotics, reflecting both theoretical contributions and practical deployments. Based in Singapore with 11 years of experience, he actively bridges interdisciplinary research, teaching, and real-world challenge-driven innovation.
11 years of coding experience