Alankar Kotwal is a research scientist with 12 years’ experience at the intersection of optics, computation, and biomedical imaging, currently applying computational imaging to improve visual feedback in neurosurgery. His PhD work harnessed the wave nature of light to enable capabilities like seeing through scattering media and micron-scale depth sensing, translating lab-only techniques into practical systems. He has held roles at Carnegie Mellon, Rice, and UTMB, and has built portable, low-cost imaging prototypes including a novel X-ray CT during a visiting stint at Massachusetts General Hospital. Comfortable spanning hardware, algorithm development, and surgical collaboration, he repeatedly bridges theory and hands-on system engineering for clinical impact. An under-the-radar strength is his background in both compressive acquisition strategies and real-world robotic/field systems (e.g., Mars rover and drone visual odometry), which informs robust, deployable designs.
12 years of coding experience
3 years of employment as a software developer
Dual Degree (B. Tech + M. Tech), Electrical Engineering, Dual Degree (B. Tech + M. Tech), Electrical Engineering at IIT Bombay
Doctor of Philosophy - PhD, Mechatronics, Robotics, and Automation Engineering, Doctor of Philosophy - PhD, Mechatronics, Robotics, and Automation Engineering at Carnegie Mellon University
Contributions:26 commits, 21 pushes, 6 branches in 8 months
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