Summary
Mihir Bala is a postdoctoral researcher at Carnegie Mellon University with 12 years of experience building edge-computing systems that enable autonomy for commercial off-the-shelf drones. He leads development of a drone-agnostic software stack—funded by US Army AI2C and USDOT—that has produced multiple peer-reviewed papers, including runner-up best paper at SEC 2023. His work spans real-time computer vision, cloudlet-based control loops, and GPS-denied localization, combining practical systems engineering with rigorous academic evaluation. Prior industry experience includes a Google Cloud internship where he built power topology verification tools, and multiple CMU research internships that applied SURF/SIFT and CNNs to live video analytics and augmented-reality tooling. Mihir holds a PhD in Computer Science from CMU and a dual background in mathematics and computer science from the University of Michigan, which informs his blend of theoretical rigor and systems pragmatism. Less obvious: he focuses on making advanced autonomy accessible on COTS drones, lowering barriers for real-world deployment rather than only pursuing bespoke hardware solutions.
12 years of coding experience
Mathematics and Computer Science, Mathematics and Computer Science at University of Michigan
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Carnegie Mellon University
English, Spanish