Pareto optimization for multiobjective matching of geospatial ontologies. - Ujwala Bharambe; Surya S. Durbha; Kuldeep R. Kurte; Nicolas H. Younan; Roger L. King (IGARSS, 2013)

High resolution disaster data clustering using Graphics Processing Units. - Kuldeep R. Kurte; Surya S. Durbha (IGARSS, 2013)

Spatio-Temporal Ontology for Change Analysis of Flood Affected Areas Using Remote Sensing Images. - Kuldeep R. Kurte; Surya S. Durbha (JOWO@FOIS, 2016)

Big data processing using hpc for remote sensing disaster data. - Ujwala Bhangale; Kuldeep R. Kurte; Surya S. Durbha; Roger L. King; Nicolas H. Younan (IGARSS, 2016)

Use of geo-ontology matching to measure the degree of interoperability. - Ujwala Bharambe; Surya S. Durbha; Roger L. King; Nicolas H. Younan; Kuldeep R. Kurte (IGARSS, 2016)

Accelerating Big Data processing chain in Image Information Mining using a hybrid HPC approach. - Kuldeep R. Kurte; Ujwala Bhangale; Surya S. Durbha; Roger L. King; Nicolas H. Younan (IGARSS, 2016)

A spatio-temporal ontological model for flood disaster monitoring. - Kuldeep R. Kurte; Surya S. Durbha; Roger L. King; Nicolas H. Younan; Abhishek V. Potnis (IGARSS, 2017)

Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data. - Kuldeep R. Kurte; Surya S. Durbha; Roger L. King; Nicolas H. Younan; Ranga Raju Vatsavai (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

A Geospatial Ontological Model for Remote Sensing Scene Semantic Knowledge Mining for the Flood Disaster. - Abhishek V. Potnis; Surya S. Durbha; Kuldeep R. Kurte (IGARSS, 2018)

A Mobility-Driven Approach to Modeling Building Energy. - Anne Berres; Piljae Im; Kuldeep R. Kurte; Melissa R. Allen-Dumas; Gautam S. Thakur; Jibonananda Sanyal (IEEE BigData, 2019)

Semantics-enabled Spatio-Temporal Modeling of Earth Observation Data: An application to Flood Monitoring. - Kuldeep R. Kurte; Abhishek Potnis; Surya S. Durbha (ARIC@SIGSPATIAL, 2019)

Semantic Framework for Spatial Query Reformulation for Disaster Monitoring Applications. - Kuldeep R. Kurte; Abhishek V. Potnis; Surya S. Durbha; Rajat C. Shinde (IGARSS, 2019)

Multi-Class Segmentation of Urban Floods from Multispectral Imagery Using Deep Learning. - Abhishek V. Potnis; Rajat C. Shinde; Surya S. Durbha; Kuldeep R. Kurte (IGARSS, 2019)

Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer. - Kuldeep R. Kurte; Jibonananda Sanyal; Anne Berres; Dalton D. Lunga; Mark Coletti; Hsiuhan Lexie Yang; Daniel Graves; Benjamin Liebersohn; Amy N. Rose (Concurr. Comput. Pract. Exp., 2019)

Methodology for Interpretable Reinforcement Learning Model for HVAC Energy Control. - Olivera Kotevska; Jeffrey Munk; Kuldeep R. Kurte; Yan Du; Kadir Amasyali; Robert W. Smith 004; Helia Zandi (IEEE BigData, 2020)

Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics. - Suzanne Parete-Koon; Peter F. Peterson; Garrett E. Granroth; Wenduo Zhou; Pravallika Devineni; Nouamane Laanait; Junqi Yin; Albina Y. Borisevich; Ketan Maheshwari; Melissa R. Allen-Dumas; Srinath Ravulaparthy; Kuldeep R. Kurte; et al. (SMC, 2020)

The 13th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS 2020): Seattle, WA, USA - November 3, 2020. - Kuldeep R. Kurte; Anne Berres; Srinath Ravulaparthy; Jibonananda Sanyal; Gautam S. Thakur (ACM SIGSPATIAL Special, 2020)

Design Space Exploration of Emerging Memory Technologies for Machine Learning Applications. - S. M. Shamimul Hasan; Neena Imam; Ramakrishnan Kannan; Srikanth B. Yoginath; Kuldeep R. Kurte (IPDPS Workshops, 2021)

Co-design of Advanced Architectures for Graph Analytics using Machine Learning. - Kuldeep R. Kurte; Neena Imam; Ramakrishnan Kannan; S. M. Shamimul Hasan; Srikanth B. Yoginath (IPDPS Workshops, 2021)

Double Deep Q-Networks for Optimizing Electricity Cost of a Water Heater. - Kadir Amasyali; Kuldeep R. Kurte; Helia Zandi; Jeffrey Munk; Olivera Kotevska; Robert W. Smith 004 (ISGT, 2021)

Comparative analysis of model-free and model-based HVAC control for residential demand response. - Kuldeep R. Kurte; Kadir Amasyali; Jeffrey Munk; Helia Zandi (BuildSys, 2021)

Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. - Pravallika Devineni; Panchapakesan Ganesh; Nikhil Sivadas; Abhijeet Dhakane; Ketan Maheshwari; Drahomira Herrmannova; Ramakrishnan Kannan; Seung-Hwan Lim; Thomas E. Potok; Jordan B. Chipka; Priyantha Mudalige; Mark Coletti; et al. (SMC, 2021)

The 14th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS 2021), Beijing, China: November 2, 2021. - Andy Berres; Kuldeep R. Kurte; Rajesh Paleti (ACM SIGSPATIAL Special, 2021)

Generative adversarial networks for ensemble projections of future urban morphology. - Melissa R. Allen-Dumas; Abigail R. Wheelis; Levi T. Sweet-Breu; Joshua Anantharaj; Kuldeep R. Kurte (ARIC@SIGSPATIAL, 2022)

Deep reinforcement learning with online data augmentation to improve sample efficiency for intelligent HVAC control. - Kuldeep R. Kurte; Kadir Amasyali; Jeffrey Munk; Helia Zandi (BuildSys, 2022)

The 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS 2022), Seattle, WA, USA - November 1, 2022. - Kuldeep R. Kurte; Andy Berres; Haowen Xu (ACM SIGSPATIAL Special, 2022)

Reinforcement-learning-based Smart Water Heater Control: An Actual Deployment. - Kadir Amasyali; Kuldeep R. Kurte; Helia Zandi; Jeffrey Munk (ISGT, 2023)

Deep Reinforcement Learning based HVAC Control for Reducing Carbon Footprint of Buildings. - Kuldeep R. Kurte; Kadir Amasyali; Jeffrey Munk; Helia Zandi (ISGT, 2023)