My name is Bing Zha. I am a Machine Learning Engineer at Torc Robotics, where I work on perception and geometry-centric learning systems for autonomous long-haul trucks. My current focus is on camera-based localization, 3D geometric perception, and large-scale deep learning systems that enable safe and reliable autonomy.

Previously, I was a Research Scientist at Motorola Solutions, developing deep learning–based perception models for large-scale video surveillance and intelligent sensing platforms.

I received my Ph.D. in 2021 from the Photogrammetric Computer Vision Lab in the Department of Civil, Environmental and Geodetic Engineering at The Ohio State University, advised by Prof. Alper Yilmaz. During my Ph.D., I also earned a Graduate Minor in Computer Science (Artificial Intelligence Track) from the Department of Computer Science and Engineering.

My research centers on computer vision and deep learning for geolocalization and 3D reconstruction, with a strong foundation in photogrammetry, multi-view geometry, and large-scale learning systems. Today, I apply and extend these ideas to autonomous driving, working at the intersection of perception, geometry, learning, and scalable systems to build robust perception and world-modeling pipelines.