Joseph Menke is a graduate student researcher and electrical engineering/software practitioner with 12 years of experience building perception and localization systems, currently developing smartphone-based indoor positioning and tracking at UC Berkeley’s Video and Image Processing Lab. His background spans industry research and internships—including Microsoft Research and a stealth startup—where he worked on augmented reality and applied software engineering for spatial computing. As an undergraduate he built production-capable vehicle telematics and LIDAR-based tracking systems, gaining hands-on expertise with embedded ARM platforms, CAN/OBDII data, and sensor fusion. Pursuing a PhD in EECS at Berkeley, he combines rigorous research with practical deployment experience and a persistent interest in bringing indoor navigation from prototype to real-world venues like malls and convention centers. An early-career detail that sets him apart: he pairs high-level algorithm work with low-level hardware skills such as SMD soldering and over-the-air device reprogramming.
13 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical Engineering and Computer Science, Doctor of Philosophy (PhD), Electrical Engineering and Computer Science at University of California, Berkeley
BS, Electrical Engineering, BS, Electrical Engineering at University of California, Riverside
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