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ORCIDChristopher J. Duffy
Person information
- affiliation: Pennsylvania State University, Department of Civil and Environmental Engineering, University Park, PA, USA
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2020 – today
- 2024
[c9]Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach
, Christopher J. Duffy, Vipin Kumar:
Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. SDM 2024: 334-342- [i6]Rahul Ghosh, Zac McEachran, Arvind Renganathan, Kelly Lindsay, Somya Sharma Chatterjee, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar:
Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems. CoRR abs/2407.20152 (2024) - 2023
- [c8]Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar:
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. SDM 2023: 649-657 - [c7]Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar:
Probabilistic Inverse Modeling: An Application in Hydrology. SDM 2023: 847-855 - [i5]Somya Sharma Chatterjee, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar:
Uncertainty Quantification in Inverse Models in Hydrology. CoRR abs/2310.02193 (2023) - 2022
- [c6]Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar:
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. KDD 2022: 465-474 - [i4]Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar:
Probabilistic Inverse Modeling: An Application in Hydrology. CoRR abs/2210.06213 (2022) - [i3]Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar:
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. CoRR abs/2210.08347 (2022) - 2021
- [j13]Yolanda Gil, Daniel Garijo, Deborah Khider, Craig A. Knoblock, Varun Ratnakar, Maximiliano Osorio, Hernán Vargas, Minh Pham, Jay Pujara, Basel Shbita, Binh Vu, Yao-Yi Chiang, Dan Feldman, Yijun Lin, Hayley Song, Vipin Kumar, Ankush Khandelwal, Michael S. Steinbach, Kshitij Tayal, Shaoming Xu, Suzanne A. Pierce, Lissa Pearson, Daniel Hardesty-Lewis, Ewa Deelman, Rafael Ferreira da Silva, Rajiv Mayani, Armen R. Kemanian, Yuning Shi, Lorne Leonard, Scott D. Peckham, Maria Stoica, Kelly M. Cobourn, Zeya Zhang, Christopher J. Duffy, Lele Shu:
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. 11(2): 11:1-11:49 (2021) - [i2]Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Nieber, Christopher J. Duffy, Vipin Kumar:
Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. CoRR abs/2109.06429 (2021) - 2020
- [i1]Ankush Khandelwal, Shaoming Xu, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar:
Physics Guided Machine Learning Methods for Hydrology. CoRR abs/2012.02854 (2020)
2010 – 2019
- 2019
- [j12]Xuan Yu, Daniel Moraetis, Nikolaos P. Nikolaidis, Bailing Li, Christopher J. Duffy, Bingjun Liu:
A coupled surface-subsurface hydrologic model to assess groundwater flood risk spatially and temporally. Environ. Model. Softw. 114: 129-139 (2019) - [c5]Daniel Garijo, Deborah Khider, Varun Ratnakar, Yolanda Gil, Ewa Deelman, Rafael Ferreira da Silva, Craig A. Knoblock, Yao-Yi Chiang, Minh Pham, Jay Pujara, Binh Vu, Dan Feldman, Rajiv Mayani, Kelly M. Cobourn, Christopher J. Duffy, Armen R. Kemanian, Lele Shu, Vipin Kumar, Ankush Khandelwal, Kshitij Tayal, Scott D. Peckham, Maria Stoica, Anna Dabrowski, Daniel Hardesty-Lewis, Suzanne A. Pierce:
An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. IUI Companion 2019: 111-112 - 2016
- [j11]Lorne Leonard, Christopher J. Duffy:
Visualization workflows for level-12 HUC scales: Towards an expert system for watershed analysis in a distributed computing environment. Environ. Model. Softw. 78: 163-178 (2016) - [j10]Yu Zhang, Rudy Slingerland, Christopher J. Duffy:
Fully-coupled hydrologic processes for modeling landscape evolution. Environ. Model. Softw. 82: 89-107 (2016) - [j9]Xuan Yu, Anna Lamacová, Christopher J. Duffy, Pavel Krám, Jakub Hruska:
Hydrological model uncertainty due to spatial evapotranspiration estimation methods. Comput. Geosci. 90: 90-101 (2016) - [j8]Xuan Yu, Christopher J. Duffy, Yolanda Gil, Lorne Leonard, Gopal Bhatt, Evan Thomas:
Cyber-Innovated Watershed Research at the Shale Hills Critical Zone Observatory. IEEE Syst. J. 10(3): 1239-1250 (2016) - [j7]Lorne Leonard, Kamesh Madduri, Christopher J. Duffy:
Tuning Heterogeneous Computing Platforms for Large-Scale Hydrology Data Management. IEEE Trans. Parallel Distributed Syst. 27(9): 2753-2765 (2016) - 2015
- [c4]Yolanda Gil, Felix Michel, Varun Ratnakar, Matheus Hauder, Christopher J. Duffy, Hilary Dugan, Paul C. Hanson:
A Task-Centered Framework for Computationally-Grounded Science Collaborations. e-Science 2015: 352-361 - [c3]Yolanda Gil, Felix Michel, Varun Ratnakar, Jordan S. Read, Matheus Hauder, Christopher J. Duffy, Paul C. Hanson, Hilary Dugan:
Supporting Open Collaboration in Science Through Explicit and Linked Semantic Description of Processes. ESWC 2015: 591-605 - 2014
- [j6]Lorne Leonard, Christopher J. Duffy:
Automating data-model workflows at a level 12 HUC scale: Watershed modeling in a distributed computing environment. Environ. Model. Softw. 61: 174-190 (2014) - [j5]Gopal Bhatt, Mukesh Kumar, Christopher J. Duffy:
A tightly coupled GIS and distributed hydrologic modeling framework. Environ. Model. Softw. 62: 70-84 (2014) - 2013
- [j4]Lorne Leonard, Christopher J. Duffy:
Essential Terrestrial Variable data workflows for distributed water resources modeling. Environ. Model. Softw. 50: 85-96 (2013) - [j3]Xuan Yu, Gopal Bhatt, Christopher J. Duffy, Yuning Shi:
Parameterization for distributed watershed modeling using national data and evolutionary algorithm. Comput. Geosci. 58: 80-90 (2013) - 2011
- [c2]Christopher J. Duffy, Lorne Leonard, Gopal Bhatt, Xuan Yu, C. Lee Giles:
Watershed Reanalysis: Towards a National Strategy for Model-Data Integration. e-Science Workshops 2011: 61-65 - 2010
- [j2]Mukesh Kumar, Gopal Bhatt, Christopher J. Duffy:
An object-oriented shared data model for GIS and distributed hydrologic models. Int. J. Geogr. Inf. Sci. 24(7): 1061-1079 (2010)
2000 – 2009
- 2009
- [j1]Mukesh Kumar, Gopal Bhatt, Christopher J. Duffy:
An efficient domain decomposition framework for accurate representation of geodata in distributed hydrologic models. Int. J. Geogr. Inf. Sci. 23(12): 1569-1596 (2009) - 2004
- [c1]Mukesh Kumar, Christopher J. Duffy, Patrick M. Reed:
Enhancing the performance of feature selection algorithms for classifying hyperspectral imagery. IGARSS 2004: 3264-3267
Coauthor Index
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