Arka Daw

darka@vt.edu

Website

Arka Daw is a Ph.D. student in the Department of Computer Science. He is advised by Anuj Karpatne.

His research centers around the emerging field of Science-Guided Machine Learning (SGML) where machine learning models are integrated with scientific knowledge (or physics) to ensure better interpretability and generalizability while enforcing scientific consistency.

Publications

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MEMTRACK: A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments Date: Oct 12, 2023
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Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation Date: Aug 20, 2023
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Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring Date: Jan 25, 2023

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Projects

In the News

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Congratulations to Sanghani Center’s 2023 Summer and Fall Graduates , article Date: Dec 15, 2023
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Making a CAREER on bridging scientific knowledge and AI , article Date: Aug 31, 2023
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Researchers receive grant to predict the mechanics of living cells , article Date: Oct 13, 2021

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Arka Daw

Publications

Projects

In the News

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