IMSA represented by Five SIR students at the National Consortium of Secondary STEM Schools Student Conference (NCSSS) | Illinois Mathematics and Science Academy

IMSA represented by Five SIR students at the National Consortium of Secondary STEM Schools Student Conference (NCSSS)

June 25, 2023

On June 22-24, IMSA hosted the National Consortium of Secondary STEM Schools Student Conference. STEM students from around the country who attend schools like IMSA shared their research projects, participated in fellowship activities on campus, and enjoyed a special excursion to the University of Illinois Chicago. This year, IMSA was represented with four student projects, presented by five students.

STUDENT PROJECTS

All abstracts can be viewed in the Digital Commons collection for IMSAloquium 2023.

Ishan Buyyanhapragada’s project, Towards a Scientific Language Processing Model, focused on expediting the analysis process for large volumes of text by classifying a dataset into clusters, which could then be individually analyzed so he could then continue to use dynamic topic modeling for plotting the various topics over time. Dr. Tanwi Mallick, an Assistant Computer Science Specialist in the Mathematics and Computer Science Division at Argonne National Laboratory, mentored him.

Anirudh Chari’s project, Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning, presented a spacetime conflict resolution approach by formulating the problem using a novel, flexible sphere-based discretization for trajectories. He was mentored remotely by Rui Chen, a Ph.D. student in the Robotics Institute at Carnegie Mellon University.

Ryan Li’s project, Presence of Anti-Uyghur Influence Operations in Xinjiang, focused on the Twitter Moderation Research Consortium of flagged accounts marked as spam and analyzed the influence operations using natural language processing libraries. Dr. Courtland VanDam, a technical staff member in the Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory, mentored Ryan.

Manya Davis and Laasya Nagunalli’s project, Using Machine Learning to Classify Heart Arrhythmias, compared results from two data analysis approaches on incorporating machine learning to monitor heart rate patterns more effectively. Their mentor, Dr. Phadmakar Patankar, is a Mathematics and Computer Science faculty member from IMSA.