Dipam is a Ph.D. student in the Department of Computer Science at Purdue University. He is mainly interested in Deep Learning & Computer Vision and focuses on developing optimized algorithms to run on embedded devices. His work involves giving intelligent vision to aerial & ground robots for real-time decision-making and behavioral understanding.
Before joining Purdue, he completed his Masters’s in Robotics from the University of Maryland, College Park, and his Bachelor’s in Mechanical Engineering from Gujarat Technological University, India. After his Master, he worked as a Robotics Software Engineer for three years at Airgility - An Unmanned Autonomous Vehicles Startup, where he was one of the earliest employees. At Airgility, he also filed his first patent titled ‘System and Method for Enabling Efficient Hardware-to-Software Performance’.
Dipam is passionate to dive deeper into the fields of Computer Vision, Deep Learning, and Augmented Reality. He is interested in developing and implementing sophisticated algorithms to create an impactful outcome for the community through the use of Next Generation Robotics.