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Steven Burian
University of AlabamaMeeting roles in:
The NSF-NRT Water: Research to Operations (Water-R2O) – Experiential Learning in the U.S. and Abroad
Evaluating the Reliability of Flood Inundation Mapping in Ungauged Locations Using Observed, Modeled, and Machine Learning-Based Hydrologic Data
Physics-Informed Inputs to Enhance LSTM-Based Streamflow Predictions in Snow-Affected Catchments
Using Machine Learning to Diagnose and Bias-Correct NextGen Framework Limitations
Evaluating the Operational Impact of Blue-Green Urban Stormwater Research: Insights from the United States
Global Sensitivity Analysis of Hydrodynamic Urban Flood Inundation Mapping and Modeling in a Coastal River Basin in the South United States
Developing a Machine Learning Framework for Seasonal Lake Level Forecasting of the Great Salt Lake
Satellite-Based Flood Inundation Mapping Using Sentinel-1 and Land Cover Data: A Case Study of Hurricane Florence
New Developments and Future Directions in Community Water Resources Modeling: Synergy at the Interface of Process Understanding, Artificial Intelligence, Computer Science, Operations, and Decision-Making I Oral
From Text to Insight: Enhancing LLM Accuracy in Hydrology with Hybrid Retrieval and Knowledge Graphs
HydroRAG: A Prototype Knowledge-Based Research Assistant for Intelligent Querying, Gap Analysis, and Hypothesis Generation in Hydrological Science
Optimizing Hydrological Predictions in the NextGen Framework: A Systematic Evaluation of Hydrofabric and HRU Discretization
NextGen In A Box (NGIAB) and DataStream Visualizer: A Containerized Web Application for Interactive Geospatial and Temporal Visualization and Analysis of Hydrologic Model Outputs
New Developments and Future Directions in Community Water Resources Modeling: Synergy at the Interface of Process Understanding, Artificial Intelligence, Computer Science, Operations, and Decision-Making II Oral
New Developments and Future Directions in Community Water Resources Modeling: Synergy at the Interface of Process Understanding, Artificial Intelligence, Computer Science, Operations, and Decision-Making III Oral
High-Performance Computing Infrastructure for NextGen Water Resources Modeling: CIROH's R2OHC HPC Platform
New Developments and Future Directions in Community Water Resources Modeling: Synergy at the Interface of Process Understanding, Artificial Intelligence, Computer Science, Operations, and Decision-Making IV Poster
Assessing AORC Gridded Forcing Datasets for Streamflow Prediction
A Tiled Calibration Framework for Hydrological Models Using Land Use and Land Cover Variability
Cloud infrastructure for NextGen Water Resources Modeling : CIROH’s R2OHC Cloud Platform
CIROH DocuHub and Portal: Knowledge Management System for Collaborative Water Resources Research
Advancing Hydrological Modeling: CIROH’s NextGen In A Box (NGIAB) and Enhanced Tools for Community-Driven Research
Connecting Science and Communities: Cocreated and Integrated Approaches for Understanding and Addressing Water Hazards in a Shifting Hydroclimatic Landscape I Poster
Connecting Science and Communities: Cocreated and Integrated Approaches for Understanding and Addressing Water Hazards in a Shifting Hydroclimatic Landscape II Oral
Operational Impacts of Water and Climate Research in Pakistan: A Systematic Review
Connecting Science and Communities: Cocreated and Integrated Approaches for Understanding and Addressing Water Hazards in a Shifting Hydroclimatic Landscape III Oral
The NSF-NRT Water: Research to Operations (Water-R2O) – Experiential Learning in the U.S. and Abroad
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