Abhijit Sarkar

Abhijit Sarkar is a senior research associate within the Division of Data and Analytics at the Virginia Tech Transportation Institute (VITI) and affiliate faculty at the Sanghani Center.  At present, he leads the Computer Vision and Machine Learning team at VTTI. His research mainly focuses in the intersection of artificial intelligence and transportation research with an emphasis to computer vision. This includes safety and operations of automated driving systems; driver distraction and attention monitoring; intersection safety; unmanned aerial vehicles; multimodal sensor processing using naturalistic driving data; and AI application in driver health monitoring.

He received his doctoral degree from the Bradley Department of Electrical and Computer Engineering at Virginia Tech in 2017 with a focus in computer vision and remote health monitoring. Prior to that, he received a master’s degree in electrical engineering from the Indian Institute of Technology, Kharagpur, India; and a bachelor’s  degree in electrical engineering from Jadavpur University, India.

Sarkar’s research has been funded by multiple federal and state agencies including National Science Foundation (NSF); Federal Motor Carrier Safety Administrations (FMCSA), Federal Highway Administration (FHWA); National Highway Traffic Safety Administration (NHTSA); National Cooperative Highway Research Program (NCHRP); National Surface Transportation Safety Center for Excellence (NSTSCE); U.S. Department of Transportation University Transportation Center (UTC); and multiple private companies.