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Kuldeep R. Kurte

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2020 – today

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2023
[c23]
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Kadir Amasyali, Kuldeep R. Kurte, Helia Zandi, Jeffrey Munk:
Reinforcement-learning-based Smart Water Heater Control: An Actual Deployment. ISGT 2023: 1-5
[c22]
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Kuldeep R. Kurte, Kadir Amasyali, Jeffrey Munk, Helia Zandi:
Deep Reinforcement Learning based HVAC Control for Reducing Carbon Footprint of Buildings. ISGT 2023: 1-5
2022
[j5]
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Kuldeep R. Kurte, Andy Berres, Haowen Xu:
The 15^th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS 2022), Seattle, WA, USA - November 1, 2022. ACM SIGSPATIAL Special 14(1): 12-18 (2022)
[c21]
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Melissa R. Allen-Dumas, Abigail R. Wheelis, Levi T. Sweet-Breu, Joshua Anantharaj, Kuldeep R. Kurte:
Generative adversarial networks for ensemble projections of future urban morphology. ARIC@SIGSPATIAL 2022: 1-6
[c20]
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Kuldeep R. Kurte, Kadir Amasyali, Jeffrey Munk, Helia Zandi:
Deep reinforcement learning with online data augmentation to improve sample efficiency for intelligent HVAC control. BuildSys@SenSys 2022: 479-483
[e3]
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Andy Berres, Kuldeep R. Kurte, Haowen Xu:
Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022, Seattle, Washington, 1 November 2022. ACM 2022, ISBN 978-1-4503-9539-7 [contents]
2021
[j4]
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Andy Berres, Kuldeep R. Kurte, Rajesh Paleti:
The 14th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS 2021), Beijing, China: November 2, 2021. ACM SIGSPATIAL Special 13(3): 15-20 (2021)
[c19]
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Kuldeep R. Kurte, Neena Imam, Ramakrishnan Kannan, S. M. Shamimul Hasan, Srikanth B. Yoginath:
Co-design of Advanced Architectures for Graph Analytics using Machine Learning. IPDPS Workshops 2021: 298-307
[c18]
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S. M. Shamimul Hasan, Neena Imam, Ramakrishnan Kannan, Srikanth B. Yoginath, Kuldeep R. Kurte:
Design Space Exploration of Emerging Memory Technologies for Machine Learning Applications. IPDPS Workshops 2021: 439-448
[c17]
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Kadir Amasyali, Kuldeep R. Kurte, Helia Zandi, Jeffrey Munk, Olivera Kotevska, Robert W. Smith:
Double Deep Q-Networks for Optimizing Electricity Cost of a Water Heater. ISGT 2021: 1-5
[c16]
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Kuldeep R. Kurte, Kadir Amasyali, Jeffrey Munk, Helia Zandi:
Comparative analysis of model-free and model-based HVAC control for residential demand response. BuildSys@SenSys 2021: 309-313
[c15]
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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, Sajal Dash, Arnab Kumar Paul, Sarp Oral, Feiyi Wang, Bill Kay, Melissa R. Allen-Dumas, Christa Brelsford, Joshua R. New, Andy Berres, Kuldeep R. Kurte, Jibonananda Sanyal, Levi Sweet, Chathika Gunaratne, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin, Olivera Kotevska, Jean C. Bilheux, Hassina Z. Bilheux, Garrett E. Granroth, Thomas Proffen, Rick Riedel, Peter F. Peterson, Shruti R. Kulkarni, Kyle P. Kelley, Stephen Jesse, Maryam Parsa:
Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. SMC 2021: 361-382
[e2]
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Kuldeep R. Kurte, Andy Berres, Rajesh Paleti:
IWCTS@SIGSPATIAL 2021: Proceedings of the 14th ACM SIGSPATIAL International Workshop on Computational Transportation Science, Virtual Event / Beijing China, 2 November 2021. ACM 2021, ISBN 978-1-4503-9117-7 [contents]
2020
[j3]
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Kuldeep R. Kurte, Anne Berres, Srinath Ravulaparthy, Jibonananda Sanyal, Gautam S. Thakur:
The 13th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS 2020): Seattle, WA, USA - November 3, 2020. ACM SIGSPATIAL Special 12(3): 26-31 (2020)
[c14]
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Olivera Kotevska, Jeffrey Munk, Kuldeep R. Kurte, Yan Du, Kadir Amasyali, Robert W. Smith, Helia Zandi:
Methodology for Interpretable Reinforcement Learning Model for HVAC Energy Control. IEEE BigData 2020: 1555-1564
[c13]
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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, Jibo Sanyal, Anne Berres, Olivera Kotevska, Folami Alamudun, Keith Gray, Max Grossman, Anar Yusifov, Ioana Danciu, Gil Alterovitz, Dasha Herrmannova:
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. SMC 2020: 425-442
[e1]
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Anne Berres, Kuldeep R. Kurte:
IWCTS@SIGSPATIAL 2020: Proceedings of the 13th ACM SIGSPATIAL International Workshop on Computational Transportation Science, Seattle, Washington, 3 November, 2020. ACM 2020, ISBN 978-1-4503-8166-6 [contents]

2010 – 2019

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2019
[j2]
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Kuldeep R. Kurte, Jibonananda Sanyal, Anne Berres, Dalton D. Lunga, Mark Coletti, Hsiuhan Lexie Yang, Daniel Graves, Benjamin Liebersohn, Amy N. Rose:
Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer. Concurr. Comput. Pract. Exp. 31(20) (2019)
[c12]
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Anne Berres, Piljae Im, Kuldeep R. Kurte, Melissa R. Allen-Dumas, Gautam S. Thakur, Jibonananda Sanyal:
A Mobility-Driven Approach to Modeling Building Energy. IEEE BigData 2019: 3887-3895
[c11]
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Kuldeep R. Kurte, Abhishek Potnis, Surya S. Durbha:
Semantics-enabled Spatio-Temporal Modeling of Earth Observation Data: An application to Flood Monitoring. ARIC@SIGSPATIAL 2019: 41-50
[c10]
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Abhishek V. Potnis, Rajat C. Shinde, Surya S. Durbha, Kuldeep R. Kurte:
Multi-Class Segmentation of Urban Floods from Multispectral Imagery Using Deep Learning. IGARSS 2019: 9741-9744
[c9]
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Kuldeep R. Kurte, Abhishek V. Potnis, Surya S. Durbha, Rajat C. Shinde:
Semantic Framework for Spatial Query Reformulation for Disaster Monitoring Applications. IGARSS 2019: 9946-9949
2018
[c8]
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Abhishek V. Potnis, Surya S. Durbha, Kuldeep R. Kurte:
A Geospatial Ontological Model for Remote Sensing Scene Semantic Knowledge Mining for the Flood Disaster. IGARSS 2018: 5274-5277
2017
[j1]
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Kuldeep R. Kurte, Surya S. Durbha, Roger L. King, Nicolas H. Younan, Ranga Raju Vatsavai:
Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(1): 29-44 (2017)
[c7]
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Kuldeep R. Kurte, Surya S. Durbha, Roger L. King, Nicolas H. Younan, Abhishek V. Potnis:
A spatio-temporal ontological model for flood disaster monitoring. IGARSS 2017: 5213-5216
2016
[c6]
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Kuldeep R. Kurte, Surya S. Durbha:
Spatio-Temporal Ontology for Change Analysis of Flood Affected Areas Using Remote Sensing Images. JOWO@FOIS 2016
[c5]
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  - conf/igarss/BhangaleKDKY16
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Ujwala Bhangale, Kuldeep R. Kurte, Surya S. Durbha, Roger L. King, Nicolas H. Younan:
Big data processing using hpc for remote sensing disaster data. IGARSS 2016: 5894-5897
[c4]
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Kuldeep R. Kurte, Ujwala Bhangale, Surya S. Durbha, Roger L. King, Nicolas H. Younan:
Accelerating Big Data processing chain in Image Information Mining using a hybrid HPC approach. IGARSS 2016: 7597-7600
[c3]
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Ujwala Bharambe, Surya S. Durbha, Roger L. King, Nicolas H. Younan, Kuldeep R. Kurte:
Use of geo-ontology matching to measure the degree of interoperability. IGARSS 2016: 7601-7604
2013
[c2]
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Ujwala Bharambe, Surya S. Durbha, Kuldeep R. Kurte, Nicolas H. Younan, Roger L. King:
Pareto optimization for multiobjective matching of geospatial ontologies. IGARSS 2013: 1159-1162
[c1]
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Kuldeep R. Kurte, Surya S. Durbha:
High resolution disaster data clustering using Graphics Processing Units. IGARSS 2013: 1696-1699

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