Location San Francisco, California, United States Regions San Francisco Bay Area, West Coast, Western US Gender Male
Website www.trackattack.app LinkedIn View on LinkedIn
Building https://www.trackattack.app I love building tech companies and products.
Previously...
As founder & CEO of Navisens, my focus is on building a company with amazing technology and a world-class engineering team, and creating an environment where engineers work on interesting problems by applying cutting-edge research to
real-world applications. At Navisens, we combine machine learning and robotics estimation techniques to build the most accurate real-time location technology available using only the sensors inside your mobile device.
Navisens is based on my PhD in robotics where I developed a unique machine learning methodology for inertial navigation (patents granted in the US, Korea, and China). Read more: https://www.linkedin.com/pulse/why-i-founded-navisens-ashod-donikian
At the time there wasn’t an Inertial Measurement Unit (IMU) which was small enough, so I designed and manufactured my own MEMS IMU, with my own cooperative multitasking RTOS and real-time estimation codebase in C++. Launch video: https://youtu.be/uoJaacwlKFg
Prior to Navisens I worked as a post-doctoral research fellow with a focus on Simultaneous Localization and Mapping (SLAM) using an odometery-less approach with an IMU and LIDAR for map building and localization of an autonomous wheelchair.
During my PhD I was a researcher at the University of California, Berkeley working on the 2007 DARPA Urban Challenge, the now well-known driverless car competition held by the US government which spurred research in autonomous vehicles. I also lectured in engineering, teaching courses in robotics, digital electronics, and embedded software.
Prior to my PhD, I studied Electrical Engineering and worked on an autonomous drone for my undergraduate thesis where I was awarded a scholarship and moved directly to a PhD.
Interests: entrepreneurship, engineering, coding, robotics, navigation, sensors, embedded software, embedded hardware, signal processing, inertial sensors, GPS, SLAM, machine learning, programming languages, C++, Swift, Rust, everything to do with running tech companies
