Subhodip Biswas is a Ph. D. student in the Department of Computer Science. He is advised by Naren Ramakrishnan. His research interests are spatial data mining, geographic information systems, education, and crowdsourcing.
Biswas was an NSF research trainee in the UrbComp program and has earned the graduate certificate.
Currently, Biswas is working on a crowdsourcing and analytics system, Redistrict, designed to foster civic engagement for the school attendance zone boundary process. Redistrict allows members and stakeholders of a local school district to view proposed plans, comment on them, and propose changes to boundaries to create their own plans. The objective is to support community members in understanding proposed changes to school districts and their potential impacts, to help them share feedback and alternatives with their neighbors and school board members, and to be more engaged in the process and feel greater self-efficacy in general.
Biswas works closely with school boards in Northern Virginia, particularly Loudoun County Public Schools and Fairfax County Public Schools.
- Probabilistic Graphical Models
- Urban Computing