Arka Daw

Researcher, Amazon AGI, Amazon

Joined

May 2021

Names

Arka Daw (Preferred)

Emails

****@vt.edu (Confirmed)

****@ornl.gov (Confirmed)

****@amazon.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Amazon AGI, Amazon (amazon.com)

2025 – Present

Researcher

National Security Sciences Directorate, Oak Ridge National Laboratory (ornl.gov)

2024 – 2025

PhD student

Computer Science, Virginia Tech (vt.edu)

2018 – 2023

Undergrad student

Electronics and Communication Engg, Jadavpur University (jdvu.ac.in)

2014 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Anuj Karpatne

2018 – Present

Expertise

Deep Learning

Present

Artificial Intelligence

Present

Physics-guided Machine Learning

Present

Generative Modelling

Present

Uncertainty Quantification

Present

LLMs

Present

Publications

Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution
Mridul Khurana, Arka Daw, M. Maruf, Josef Uyeda, Wasila Dahdul, Caleb Patrick Charpentier, Yasin Bakis, Henry Bart, Paula Mabee, Hilmar Lapp, James Balhoff, Wei-Lun Chao, Charles V. Stewart, Tanya Berger-Wolf, Anuj Karpatne
- NeurIPS 2025 Workshop Imageomics
- 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
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 Poster
- Readers: Everyone
Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data
Abhilash Neog, Arka Daw, Sepideh Fatemi Khorasgani, Aanish Pradhan, Mary E. Lofton, Bennett J. McAfee, Adrienne Breef-Pilz, Heather L. Wander, Dexter W Howard, Cayelan Carey, Paul Hanson, Anuj Karpatne
- Submitted to ICLR 2025
- Readers: Everyone
Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution
Mridul Khurana, Arka Daw, M. Maruf, Josef Uyeda, Wasila M Dahdul, Caleb Patrick Charpentier, Yasin Bakis, Henry Bart, Paula Mabee, Hilmar Lapp, James Balhoff, Wei-Lun Chao, Charles Stewart, Tanya Berger-Wolf, Anuj Karpatne
- ECCV 2024
- Readers: Everyone
What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits
Harish Babu Manogaran, M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Caleb Patrick Charpentier, Josef Uyeda, Wasila M Dahdul, Matthew J Thompson, Elizabeth G Campolongo, Kaiya L Provost, Wei-Lun Chao, Tanya Berger-Wolf, Paula Mabee, Hilmar Lapp, Anuj Karpatne
- ICLR 2025 Poster
- Readers: Everyone
Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data
Abhilash Neog, Arka Daw, Sepideh Fatemi Khorasgani, Anuj Karpatne
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images
Arka Daw, Megan Hong-Thanh Chung, Maria Mahbub, Amir Sadovnik
- AdvML-Frontiers 2024
- 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

View all 25 publications

Co-Authors

View all 55 co-authors