Latest research projects, publications, and talks
Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling [conference paper]
Posted
Xiaowei Jia (Ph.D. 2020), Jared Willard (Ph.D. student), Anuj Karpatne (Ph.D. 2017), Jordan S Read, Jacob A Zwart, Michael Steinbach (researcher), Vipin Kumar (professor)
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Classification of highly-skewed data [patent]
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Vipin Kumar (professor), Varun Mithal (Ph.D. 2016), Guruprasad Nayak (Ph.D. 2019), Ankush Khandelwal (Ph.D. 2019)
Analyzing Trajectory Gaps for Possible Rendezvous: A Summary of Results [conference paper]
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Arun Sharma (Ph.D. student), Xun Tang (Ph.D. student), Jayant Gupta (Ph.D. student), Majid Farhadloo (Ph.D. student), Shashi Shekhar (professor)
11th International Conference on Geographic Information Science
A unified framework for robust and efficient hotspot detection in smart cities [journal]
Posted
Yiqun Xie (Ph.D. student), Shashi Shekhar (professor)
ACM Transactions on Data Science
Physics-guided energy-efficient path selection using on-board diagnostics data [journal]
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Yan Li (Ph.D. student), Pratik Kotwal (M.S. student), Pengyue Wang, Yiqun Xie (Ph.D. student), Shashi Shekhar (professor), William Northrop
ACM Transactions on Data Science
Process guided machine learning for water temperature prediction [research project]
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Jeffrey M Peterson, Vipin Kumar (professor), Michael Steinbach (researcher)
U.S. Geological Survey
EAGER: Spatiotemporal Big Data Analysis to Understand COVID-19 Effects [research project]
Posted
Shashi Shekhar (professor)
National Science Foundation
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks [journal]
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Saurabh Agrawal (Ph.D. 2018), Michael Steinbach (researcher), Daniel Boley (professor), Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar (professor)
IEEE Transactions on Knowledge and Data Engineering
Scalable Graph Neural Networks with Deep Graph Library [conference paper]
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Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis (professor)
26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Personalized Image Retrieval with Sparse Graph Representation Learning [conference paper]
Posted
Xiaowei Jia (Ph.D. 2020), Handong Zhao, Zhe Lin, Ajinkya Kale, Vipin Kumar (professor)
26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining