Arjun Chandrasekaran is a second-year DAC Ph.D. student in the department of electrical and computer engineering. He works in the Computer Vision Lab and is advised by Devi Parikh, DAC faculty member. His general areas of interest include computer vision, machine learning, and artificial intelligence. He is particularly passionate about understanding and building computational models for humor.
Previously, he worked as an embedded software developer and tester in a computer vision team that worked on driver assistance systems at the automotive parts company Robert Bosch (RBEI). The product was a multipurpose camera for luxury cars that detected lanes, pedestrians, recognized road signs, etc.
He received a bachelors in engineering in electronics and communication from Bangalore Institute of Technology, VTU.