Muhammed H. Topiwala

Computer science

Hometown: Bengaluru, Karnataka, India

Graduation date: Fall 2024

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FURI | Summer 2024, Needs Review

Next-Gen Immunotherapies: Analysis of Large TCR Repertoires to Create a TCR Cluster Framework Using the catELMO Embedding Technique

The proposed approach stands to make notable strides in the realm of immunogenics. By harnessing public clusters and leveraging latent space embeddings, intricacies posed by vast immunome datasets are tackled, which offer structural comparisons that surpass the capabilities of traditional sequence-based approaches. Additionally, through a meticulous examination of various distance metrics, clustering techniques, and noise mitigation strategies, the study seeks to enhance the precision of biocomputational techniques. This effort is in tandem with the overarching goals of progressing productivity in healthcare.

Mentor: Heewook Lee

More projects from the current symposium

Alma Samuel Babbitt

Computer systems engineering

Verification Code Generation in the Hardware Description Language Verilog

Using large language models for verification code generation in Verilog for integrated circuit designs will shorten testing and remove roadblocks.

Mentor: Nakul Gopalan

Program: FURI

Haley Nicole McKeown

Chemical engineering

Leveraging the Power of Ligninolytic Enzymes to Valorize Lignin to Polyvinyl Phenol

Utilizing engineered microorganisms with ligninolytic enzymes for synthesis of biopolymers will contribute to advancements in bioplastics.

Mentor: Arul Varman

Program: MORE

Pranav Rajesh

Robotics and autonomous systems

Vehicle Tracking Pipeline for an Intelligent Parking System

A vehicle tracking pipeline within smart parking systems promises to alleviate urban parking challenges by mitigating traffic congestion.

Mentor: Junfeng Zhao