Thomas Jefferson High School

Seven students from Thomas Jefferson High School for Science & Technology have been named scholars in the 2018 Regeneron Science Talent Search (formerly known as the Intel Science Talent Search).

The students are part of a group of 300 scholars selected from 1,818 entrants in the 2018 competition.

Local students, and their projects, include:

Yashasvi Bolisetty, “A Novel Drone-Employed Approach Based on Gabor Filtration, Silhouette-Optimized Clustering, and Hierarchically-Reinforced Object Detection for the Extensive Identification and Analysis of Stagnant Water Bodies to Generate Malarial Spatial Risk Indices.”

Kavya Kopparapu, “GlioVision: A Platform for the Automatic Assessment of Glioblastoma Tumor Features, Molecular Identity, and Gene Methylation from Histopathological Images Using Deep Learning.”

Srinidhi Krishnamurthy, “DeepCyclone: A Novel High-Performance Spatiotemporal Machine Learning Architecture for Hurricane Trajectory and Intensity Prediction.”

Eric Lin, “Dynamic Origin-Destination Travel Time and Traffic Flow Estimation through Heteroskedastic Poisson Processes and Machine Learning.”

Mihir Patel, “Automating Limb Volume Measurements of Lymphedema Patients Through Computer Vision.”

Nikhil Sardana, “Classifying Alzheimer’s from fMRI Data Using Convolutional Networks.”

Franklyn Wang, “Monodromy Groups of Indecomposable Rational Functions.”

The Regeneron Science Talent Search is a program of the Society for Science & the Public. The 300 scholars and their schools will receive matching awards of $2,000.  

A total of 40 finalists, to be announced Jan. 23, will be invited to Washington, D.C., in March to participate in final judging, display their work to the public, meet with notable scientists and compete for awards, including the top prize of $250,000.

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