About Me

Hi! I'm Abhi Kamboj, a Ph.D. candidate in Electrical and Computer Engineering at the University of Illinois Urbana-Champaign, where I'm also an NSF Graduate Research Fellow. My work sits at the intersection of sensing and AI, where I build machine learning systems that help us better understand motion, perception, and interaction across humans and machines.

Over the years, my research has taken me from multi-modal deep learning for human action recognition to robotics and foundation models, and even into large-scale video reasoning at Google. A common theme in my projects is finding ways to make learning systems robust: aligning modalities, transferring knowledge across domains, and making sense of data that doesn't come in neat, synchronized packages.

Alongside research, I've enjoyed teaching and mentoring-from helping undergraduates debug their first FPGA projects, to guiding new researchers through the nuances of multimodal learning. I believe that the most exciting ideas often emerge from collaboration and interdisciplinary thinking.

Beyond academia, I've explored applied AI in industry with experiences at Google, NVIDIA, Netradyne, Western Digital, and Collins Aerospace. Each stop gave me new perspectives on scaling algorithms into systems that matter—whether it's real-time scene text recognition on edge devices, multi-object tracking for autonomous driving, or reasoning about complex video for next-generation AI.

If you'd like to dive deeper into the details, my publications, experiences, and academic journey are below.