Paahuni Khandelwal

14 papers B 6C 1Misc 1Journal 1Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Science-Informed Multitask Transformer for Soil Property Prediction from FTIR Spectroscopy.
eScience
Andrei Bachinin, Rupasree Dey, Paahuni Khandelwal, Sam Leuthold, M. Francesca Cotrufo, Shrideep Pallickara, Sangmi Lee Pallickara
2025 — conf
Subterra: Estimating Soil Moisture at Root Zone Depths Using Science-Guided Learning.
CAI
Paahuni Khandelwal, Jeffrey D. Niemann, David J. Mulla, Shrideep Pallickara, Sangmi Lee Pallickara
2024 — conf
DeepSoil: A Science-guided Framework for Generating High Precision Soil Moisture Maps by Reconciling Measurement Profiles Across In-situ and Remote Sensing Data.
SIGSPATIAL/GIS
Paahuni Khandelwal, Sangmi Lee Pallickara, Shrideep Pallickara
2024 B conf
Periscope: A Framework for Visualizations of Multiresolution Spatiotemporal Data at Scale.
IEEE Big Data
Everett Lewark, Matthew Young, Paahuni Khandelwal, Sangmi Lee Pallickara, Shrideep Pallickara
2023 B conf
ARGUS: Rapid Wildfire Tracking Using Satellite Data Collections.
CLOUD
Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara
2023 B conf
DISCERN: Leveraging Knowledge Distillation to Generate High Resolution Soil Moisture Estimation from Coarse Satellite Data.
IEEE Big Data
Abdul Matin, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara
2023 — conf
Deep Learning based Approach for Fast, Effective Visualization of Voluminous Gridded Spatial Observations.
CCGridW
Paahuni Khandelwal, Menuka Warushavithana, Sangmi Lee Pallickara, Shrideep Pallickara
2023 B conf
Enabling Fast, Effective Visualization of Voluminous Gridded Spatial Datasets.
CCGrid
Paahuni Khandelwal, Menuka Warushavithana, Sangmi Lee Pallickara, Shrideep Pallickara
2022 J jnl
Attention-based convolutional capsules for evapotranspiration estimation at scale.
Environ. Model. Softw.
Samuel Armstrong, Paahuni Khandelwal, Dhruv Padalia, Gabriel B. Senay, Darin Schulte, Allan A. Andales, F. Jay Breidt, Shrideep Pallickara, Sangmi Lee Pallickara
2022 B conf
CloudNet: A Deep Learning Approach for Mitigating Occlusions in Landsat-8 Imagery using Data Coalescence.
e-Science
Paahuni Khandelwal, Samuel Armstrong, Abdul Matin, Shrideep Pallickara, Sangmi Lee Pallickara
2021 B conf
Mind the Gap: Generating Imputations for Satellite Data Collections at Myriad Spatiotemporal Scopes.
CCGRID
Paahuni Khandelwal, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara
2020 — conf
Lightweight, Embeddings Based Storage and Model Construction Over Satellite Data Collections.
IEEE BigData
Kevin Bruhwiler, Paahuni Khandelwal, Daniel Rammer, Samuel Armstrong, Sangmi Lee Pallickara, Shrideep Pallickara
2020 Misc conf
Small is Beautiful: Distributed Orchestration of Spatial Deep Learning Workloads.
UCC
Daniel Rammer, Kevin Bruhwiler, Paahuni Khandelwal, Samuel Armstrong, Shrideep Pallickara, Sangmi Lee Pallickara
2019 C conf
STASH : Fast Hierarchical Aggregation Queries for Effective Visual Spatiotemporal Explorations.
CLUSTER
Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara