Dr. Das earned his B.Tech degree in Computer Science and Engineering from West Bengal University of Technology, his M.E. degree in Software Engineering from Jadavpur University, and his Ph.D. degree in Electrical Engineering and Computer Science from Wichita State University.
His primary research interest centers around the design and development of data-driven algorithms and systems in smart cities; specifically, data management in smart electric power grid communication networks and smart environments for navigation and wayfinding for people with disabilities. In his Ph.D. dissertation, he proposed several quality-aware data management schemes for smart grid communication networks and also proposed a deep learning-based framework to assist people with visual impairments in outdoor wayfinding. He received Maha “Maggie” Sawan Fellowship at Wichita State University in 2016 for the excellence in academic achievement. He has published peer-reviewed research publications in the top-tier journal and conference venues, and he is a reviewer for the IEEE Systems Journal, IEEE ICDCS, IEEE NAPS, and IEEE IGSC, etc. He is an active member of IEEE, IEEE Computer Society, and IEEE Power & Energy Society.
Dr. Das conducts research in the area of smart cities focusing on the design and development of data-driven algorithms and systems in smart grids and smart living. In particular, his current research interest includes data management in communication networks of smart grids that can improve reliability and enable better management and control of electric meters in residential units, as well as the design and development of auxiliary wayfinding systems for people with visual impairments for smart living.
Dr. Das will teach one section (each) of CSC 199, CSC 215 and CSC 230 in Fall 2020. Students interested in learning more about Dr. Das’s mentored research projects can email him at firstname.lastname@example.org.