Hi there!👋

My name is Rhea Goswami.

I am

I am a current junior studying computer science and electrical and computer engineering at Cornell University, who enjoys leveraging math and embedded systems to tackle tough intersectional engineering problems related to combinatorial optimization, sustainability, and robotics.

I currently research under Professor Samitha Samaranayake and with Hins Hu on the placement of micro-transit zones (which are zones where people can be serviced by shuttles within between major transit). This question is framed as a technology-driven and equity-focused application of the traditional graph partitioning algorithm, which looks at minimizing the partitions in the graph. Specifically, this data is collected by the Chattanooga Area Regional Transportation Authority. Previously, I conducted computer vision research for identification monarch butterfly instars (life stages) to assist naturalists with the The Ries Lab of Butterfly Informatics at Georgetown University. In addition to my research, I am the Intelligent Systems subteam lead of Cornell University Unmanned Air Systems (CUAir). I am also a passionate environmental advocate and founded the Environmental Justice Coalition.

Outside of academics, I can be found figure skating, reading a great book, water color painting, or traveling.

Updates 📣

Coming Soon!
Lots of incredible updates coming your way! Stay tuned to see what they are.

Awards 🏆

01-06-2025
Awarded a grant from Aizen Climate Research Scholars Fund from the Engineering Learning Initiatives

08-27-2024
Youngest Awardee of the Rebecca A. Head Award from the American Public Health Assoication's Environment Section

05-08-2023
Awarded the JUST Award from the Cornell University in their student sustainability awards

05-23-2022
Awarded the NOW Youth Leadership Award from the Children's Environmental Health Network

Publications 📃

11-07-2024
Neupane, N., Goswami, R., Harrison, K. et al. Artificial intelligence correctly classifies developmental stages of monarch caterpillars enabling better conservation through the use of community science photographs. Sci Rep 14, 27039 (2024). https://doi.org/10.1038/s41598-024-78509-w