Subhodip Biswas
Subhodip Biswas was a Ph. D. student in the Department of Computer Science. He was 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 earned the graduate certificate.
Biswas worked 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 worked closely with school boards in Northern Virginia, particularly Loudoun County Public Schools and Fairfax County Public Schools.

Publications
Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Naren Ramakrishnan, Zhiqian Chen
In Proceedings of the 11th AAAI Conference on Artificial Intelligence, (pp 13115-13116), 06/2022
Citatations: BibTeX
Naren Ramakrishnan, Subhodip Biswas, Fanglan Chen
In Cornell University, : , 06/2022
Citatations: BibTeX
Naren Ramakrishnan, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen
In Cornell University, : , 11/2021
Citatations: BibTeX