Medha Sawhney

PhD student, Computer Science, Virginia Polytechnic Institute and State University

Intern, Amazon

Joined

April 2023

Names

Medha Sawhney (Preferred)

Emails

****@vt.edu (Confirmed)

Personal Links

Career & Education History

PhD student

Computer Science, Virginia Polytechnic Institute and State University (vt.edu)

2023 – Present

Intern

Amazon (amazon.com)

2025 – 2026

Intern

NVIDIA (nvidia.com)

2024 – 2024

MS student

Virginia Polytechnic Institute and State University (vt.edu)

2021 – 2023

Intern

Twitter (twitter.com)

2022 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Anuj Karpatne

2021 – 2026

Expertise

Physics-guided Machine Learning

Present

Deep Learning

Present

Generative Modeling

Present

Computer Vision

Present

Science-guided Machine Learning

Present

Publications

Investigating a Model-Agnostic and Imputation-Free Approach for Irregularly-Sampled Multivariate Time-Series Modeling
Abhilash Neog, Arka Daw, Sepideh Fatemi, Medha Sawhney, Aanish Pradhan, Mary E. Lofton, Bennett J. McAfee, Adrienne Breef-Pilz, Heather L. Wander, Dexter W. Howard, Cayelan C. Carey, Paul C. Hanson, Anuj Karpatne
- Trans. Mach. Learn. Res. 2026
- Readers: Everyone
Beyond Loss Guidance: Using PDE Residuals as Spectral Attention in Diffusion Neural Operators
Medha Sawhney, Abhilash Neog, Mridul Khurana, Anuj Karpatne
- CoRR 2025
- Readers: Everyone
Beyond Loss Guidance: Using PDE Residuals as Spectral Attention in Diffusion Neural Operators
Medha Sawhney, Abhilash Neog, Mridul Khurana, Anuj Karpatne
- Submitted to ICLR 2026
- Readers: Everyone
Investigating a Model-Agnostic and Imputation-Free Approach for Irregularly-Sampled Multivariate Time-Series Modeling
Abhilash Neog, Arka Daw, Sepideh Fatemi, Medha Sawhney, Aanish Pradhan, Mary E. Lofton, Bennett J. McAfee, Adrienne Breef-Pilz, Heather L. Wander, Dexter W Howard, Cayelan C. Carey, Paul Hanson, Anuj Karpatne
- Accepted by TMLR
- Readers: Everyone
Open World Scene Graph Generation using Vision Language Models
Amartya Dutta, Kazi Sajeed Mehrab, Medha Sawhney, Abhilash Neog, Mridul Khurana, Sepideh Fatemi Khorasgani, Aanish Pradhan, M. Maruf, Ismini Lourentzou, Arka Daw, Anuj Karpatne
- CoRR 2025
- Readers: Everyone
Toward Scientific Foundation Models for Aquatic Ecosystems
Abhilash Neog, Medha Sawhney, Kazi Sajeed Mehrab, Sepideh Fatemi, Mary E. Lofton, Amartya Dutta, Aanish Pradhan, Bennett J. McAfee, Emma Marchisin, Robert Ladwig, Arka Daw, Cayelan C. Carey, Paul Hanson, Anuj Karpatne
- FMSD @ ICML 2025
- Readers: Everyone
A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations
Naveen Gupta, Medha Sawhney, Arka Daw, Youzuo Lin, Anuj Karpatne
- ICLR 2025
- Readers: Everyone
A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations
Naveen Gupta, Medha Sawhney, Arka Daw, Youzuo Lin, Anuj Karpatne
- ICLR 2025 Poster
- Readers: Everyone
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images
M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Harish Babu Manogaran, Abhilash Neog, Medha Sawhney, Mridul Khurana, James Balhoff, Yasin Bakis, Bahadir Altintas, Matthew J Thompson, Elizabeth G Campolongo, Josef Uyeda, Hilmar Lapp, Henry Bart, Paula Mabee, Yu Su, Wei-Lun Chao, Charles Stewart, Tanya Berger-Wolf et al. (2 additional authors not shown)
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
Motion Enhanced Multi-Level Tracker (MEMTrack): A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments
Medha Sawhney, Bhas Karmarkar, Eric J. Leaman, Arka Daw, Anuj Karpatne, Bahareh Behkam
- Adv. Intell. Syst. 2024
- Readers: Everyone

View all 14 publications

Co-Authors

View all 51 co-authors