Sangmi Lee Pallickara

Sangmi Lee Pallickara

Colorado State University

H-index: 23

North America-United States

About Sangmi Lee Pallickara

Sangmi Lee Pallickara, With an exceptional h-index of 23 and a recent h-index of 12 (since 2020), a distinguished researcher at Colorado State University, specializes in the field of Big Data, Scientific Data Management, Data storage, Analytics, Visualization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Rubiks: Rapid explorations and summarization over high dimensional spatiotemporal datasets

Deep Learning based Approach for Fast, Effective Visualization of Voluminous Gridded Spatial Observations

A framework for profiling spatial variability in the performance of classification models

Enabling fast, effective visualization of voluminous gridded spatial datasets

Radix+: High‐throughput georeferencing and data ingestion over voluminous and fast‐evolving phenotyping sensor data

Paying Attention to Wildfire: Using U-Net with Attention Blocks on Multimodal Data for Next Day Prediction

Towards Interactive Analytics Over Voluminous Spatiotemporal Data Using a Distributed, In-Memory Framework

AQUA: A Framework for Spatiotemporal Analysis and Visualizations of Water Quality Data at Scale

Sangmi Lee Pallickara Information

University

Position

Associate Professor of Computer Science

Citations(all)

1316

Citations(since 2020)

449

Cited By

1113

hIndex(all)

23

hIndex(since 2020)

12

i10Index(all)

42

i10Index(since 2020)

16

Email

University Profile Page

Colorado State University

Google Scholar

View Google Scholar Profile

Sangmi Lee Pallickara Skills & Research Interests

Big Data

Scientific Data Management

Data storage

Analytics

Visualization

Top articles of Sangmi Lee Pallickara

Title

Journal

Author(s)

Publication Date

Rubiks: Rapid explorations and summarization over high dimensional spatiotemporal datasets

Saptashwa Mitra

Matt Young

Jay Breidt

Sangmi Pallickara

Shrideep Pallickara

2023/12/4

Deep Learning based Approach for Fast, Effective Visualization of Voluminous Gridded Spatial Observations

Paahuni Khandelwal

Menuka Warushavithana

Sangmi Lee Pallickara

Shrideep Pallickara

2023/5/1

A framework for profiling spatial variability in the performance of classification models

Menuka Warushavithana

Kassidy Barram

Caleb Carlson

Saptashwa Mitra

Sudipto Ghosh

...

2023/12/4

Enabling fast, effective visualization of voluminous gridded spatial datasets

Paahuni Khandelwal

Menuka Warushavithana

Sangmi Lee Pallickara

Shrideep Pallickara

2023/5/1

Radix+: High‐throughput georeferencing and data ingestion over voluminous and fast‐evolving phenotyping sensor data

Concurrency and Computation: Practice and Experience

Saptashwa Mitra

Maxwell Roselius

Pedro Andrade‐Sanchez

John K McKay

Sangmi Lee Pallickara

2023/4/10

Paying Attention to Wildfire: Using U-Net with Attention Blocks on Multimodal Data for Next Day Prediction

Jack Fitzgerald

Ethan Seefried

James E Yost

Sangmi Pallickara

Nathaniel Blanchard

2023/10/9

Towards Interactive Analytics Over Voluminous Spatiotemporal Data Using a Distributed, In-Memory Framework

Saptashwa Mitra

2023

AQUA: A Framework for Spatiotemporal Analysis and Visualizations of Water Quality Data at Scale

Matthew Young

Sangmi Pallickara

Shrideep Pallickara

2023/12/15

ARGUS: Rapid Wildfire Tracking Using Satellite Data Collections

Saptashwa Mitra

Paahuni Khandelwal

Shrideep Pallickara

Sangmi Lee Pallickara

2023/7/2

DISCERN: Leveraging Knowledge Distillation to Generate High Resolution Soil Moisture Estimation from Coarse Satellite Data

Abdul Matin

Paahuni Khandelwal

Shrideep Pallickara

Sangmi Lee Pallickara

2023/12/15

Argus: Rapid tracking of wildfires from unlabeled satellite images

International Conference on Cloud Computing (CLOUD)

Saptashwa Mitra

Paahuni Khandelwal

Shrideep Pallickara

Sangmi Pallickara

2023/7

Creating an Earth archive

Proceedings of the National Academy of Sciences

Christopher Fisher

Stephen Leisz

Damian Evans

Diana H Wall

Kathleen Galvin

...

2022/3/15

Improving soil carbon metrics and monitoring to inform management: leveraging carbon dioxide removal on grazing lands

AGU Fall Meeting Abstracts

Paige Stanley

M Francesca Cotrufo

Jason E Rowntree

Derek Scasta

Robert Clement

...

2022/12

Embedding based clustering of time series data using dynamic time warping

Laksheen Mendis

2022

Cloudnet: A deep learning approach for mitigating occlusions in landsat-8 imagery using data coalescence

Paahuni Khandelwal

Samuel Armstrong

Abdul Matin

Shrideep Pallickara

Sangmi Lee Pallickara

2022/10/11

Rapid betweenness centrality estimates for transportation networks using capsule networks

Abdul Matin

Samuel Armstrong

Saptashwa Mitra

Shrideep Pallickara

Sangmi Lee Pallickara

2022/9/19

Attention-based convolutional capsules for evapotranspiration estimation at scale

Environmental Modelling & Software

Samuel Armstrong

Paahuni Khandelwal

Dhruv Padalia

Gabriel Senay

Darin Schulte

...

2022/6/1

Griddle: Effective Query Support over Voluminous Gridded Spatial Datasets

Pierce Smith

Sangmi Lee Pallickara

Shrideep Pallickara

2022/12/17

Alleviating resource requirements for spatial deep learning workloads

Saptashwa Mitra

Menuka Warushavithana

Mazdak Arabi

Jay Breidt

Sangmi Pallickara

...

2022/5/16

Resource efficient profiling of spatial variability in performance of regression models

Caleb Carlson

Menuka Warushavithana

Saptashwa Mitra

Kassidy Barram

Sudipto Ghosh

...

2022/12/17

See List of Professors in Sangmi Lee Pallickara University(Colorado State University)