Christopher J. Duffy

Orcid: 0000-0003-0080-6445

  • Pennsylvania State University, Department of Civil and Environmental Engineering, University Park, PA, USA

According to our database1, Christopher J. Duffy authored at least 25 papers between 2004 and 2024.

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PhD thesis 


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Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Uncertainty Quantification in Inverse Models in Hydrology.
CoRR, 2023

Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Probabilistic Inverse Modeling: An Application in Hydrology.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making.
ACM Trans. Interact. Intell. Syst., 2021

Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics.
CoRR, 2021

Physics Guided Machine Learning Methods for Hydrology.
CoRR, 2020

A coupled surface-subsurface hydrologic model to assess groundwater flood risk spatially and temporally.
Environ. Model. Softw., 2019

An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models.
Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019

Tuning Heterogeneous Computing Platforms for Large-Scale Hydrology Data Management.
IEEE Trans. Parallel Distributed Syst., 2016

Cyber-Innovated Watershed Research at the Shale Hills Critical Zone Observatory.
IEEE Syst. J., 2016

Hydrological model uncertainty due to spatial evapotranspiration estimation methods.
Comput. Geosci., 2016

Fully-coupled hydrologic processes for modeling landscape evolution.
Environ. Model. Softw., 2016

Visualization workflows for level-12 HUC scales: Towards an expert system for watershed analysis in a distributed computing environment.
Environ. Model. Softw., 2016

Supporting Open Collaboration in Science Through Explicit and Linked Semantic Description of Processes.
Proceedings of the Semantic Web. Latest Advances and New Domains, 2015

A Task-Centered Framework for Computationally-Grounded Science Collaborations.
Proceedings of the 11th IEEE International Conference on e-Science, 2015

Automating data-model workflows at a level 12 HUC scale: Watershed modeling in a distributed computing environment.
Environ. Model. Softw., 2014

A tightly coupled GIS and distributed hydrologic modeling framework.
Environ. Model. Softw., 2014

Parameterization for distributed watershed modeling using national data and evolutionary algorithm.
Comput. Geosci., 2013

Essential Terrestrial Variable data workflows for distributed water resources modeling.
Environ. Model. Softw., 2013

Watershed Reanalysis: Towards a National Strategy for Model-Data Integration.
Proceedings of the IEEE 7th International Conference on E-Science, 2011

An object-oriented shared data model for GIS and distributed hydrologic models.
Int. J. Geogr. Inf. Sci., 2010

An efficient domain decomposition framework for accurate representation of geodata in distributed hydrologic models.
Int. J. Geogr. Inf. Sci., 2009

Enhancing the performance of feature selection algorithms for classifying hyperspectral imagery.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004