Anisha Pal

I am a PhD student at Georgia Tech advised by Prof. Steve Mussmann. Previously, I completed my Master's at Georgia Tech, advised by Prof. Judy Hoffman, and have industry experience spanning startups to large organizations, including Planette AI (with Dr. Kalai Ramea), Corteva Agriscience, HyperVerge, and Microsoft.

I am broadly interested in data-efficient model adaptation through human-AI collaboration. My current research explores expert-in-the-loop systems that adapt frontier models to specialized tasks through task-aware evaluation and sample-efficient data acquisition. My past work includes developing benchmarks and evaluation strategies for diagnosing model robustness, and applying AI to climate and environmental challenges.

Portrait of Anisha Pal

Affiliations

News

Aug, 2026 Joined the CS PhD program at Georgia Tech
June, 2026 Our paper titled NIVA: A Multimodal Foundation Model for Actionable Earth System Intelligence is out on ArXiv
June, 2025 Presented Leveraging CESM2 data for machine learning based S2S forecasting at the CESM Workshop 2025
Sep, 2024 Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image Detectors is accepted to NeurIPS 2024 Track Datasets and Benchmarks
Sep, 2024 SkyScenes featured in Georgia Tech News, College of Computing & Mirage News coverage
July, 2024 SkyScenes: A Synthetic Dataset for Aerial Scene Understanding is accepted to ECCV 2024
May, 2024 Joined as the Founding Machine Learning Engineer at Planette AI
May, 2023 Interning at Corteva Agriscience this summer
August, 2022 Joined the MS CS Program at Georgia Tech

Publications

NIVA: A Multimodal Foundation Model for Actionable Earth System Intelligence

Anisha Pal, Aodhan Sweeney*, Kyle Heyblom*, Kalai Ramea

Preprint

Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image Detectors

Anisha Pal*, Julia Kruk*, Mansi Phute, Manognya Bhattaram, Diyi Yang, Duen Horng Chau, Judy Hoffman

NeurIPS, 2024

SkyScenes: A Synthetic Dataset for Aerial Scene Understanding

Sahil Khose*, Anisha Pal*, Aayushi Agarwal*, Deepanshi*, Judy Hoffman, Prithvijit Chattopadhyay

ECCV, 2024

SegFast-V2: Semantic Image Segmentation with Less Parameters in Deep Learning for Autonomous Driving

Swarnendu Ghosh, Anisha Pal, Shourya Jaiswal, KC Santosh, Nibaran Das, Mita Nasipuri

IJMLC, 2019

SegFast: A Faster SqueezeNet Based Semantic Image Segmentation Using Depth-wise Separable Convolutions

Anisha Pal, Shourya Jaiswal, Swarnendu Ghosh, Nibaran Das, Mita Nasipuri

ICVGIP, 2018