WaterSoftHack initiative aims to cultivate the workforce that creates, utilizes, and supports advanced cyberinfrastructure (CI) workflows and tools to enable and potentially transform fundamental water science education and research. This is a multi-year NSF-funded project, dedicated to advancing water science research and education through the synergistic power of CI and machine learning training. This initiative is a collaborative effort led by Dr. Vidya Samadi from Clemson University, collaboratively with the University of Iowa and the Consortium of Universities for the Advancement of Hydrologic Sciences, Inc. (CUAHSI).
The vision of WaterSoftHack is to democratize access to advanced CI approaches and cybertraining materials within the water science community. The goal is to foster an inclusive academic environment that encourages exploration and innovation and increases researchers’ competence and confidence in CI prototyping and workflow development
For information on how to get involved or support our mission, please reach out to us at watersofthack@clemson.edu.
| Day | 11-13:00 EST | 13-14:00 EST | 14-15:00 EST |
|---|---|---|---|
| Week 1 | |||
| Monday (July 28) | Project Introduction / Project Milestone | Lunch | CUAHSI presentation |
| Tuesday (July 29) | Data Preprocessing and Autoregressive models | Lunch | Hands-on Workshop |
| Wednesday (July 30) | Machine Learning Models I | Lunch | Hands-on Workshop |
| Thursday (July 31) | Machine Learning Models II | Lunch | Hands-on Workshop |
| Friday (Aug 01) | Training on Scientific Communication (Alda Center) | Lunch | Training on Scientific Communication (Alda Center) |
| Week 2 | |||
| Monday (Aug 04) | Project Progress Updates by Students | Lunch | Project Progress Updates by Students |
| Tuesday (Aug 05) | Self-Guided Work by Students | Lunch | Self-Guided Work by Students |
| Wednesday (Aug 06) | Self-Guided Work by Students | Lunch | Self-Guided Work by Students |
| Thursday (Aug 07) | Self-Guided Work by Students | Lunch | Self-Guided Work by Students |
| Friday (Aug 08) | Project Presentations | Lunch | Closing Ceremony |
M.S. student in Civil Engineering and Graduate Research Assistant at the Jackson State University (JSU) Water Lab,and is focusing on using satellite imagery for suspended sediment measurement.
Geoscientist at the University of Pittsburgh who is passionate about understanding Earth's surface processes shaped by air, water, land, and human interactions, using data-driven methods to study environmental change and promote sustainable solutions.
M.S. student in the Rubenstein School of Environment and Natural Resources at University of Vermont. Her research focuses on stream biogeochemistry and watershed processes in the face of changing northeastern winters.
M.S. student in hydrogeology at the University of Kansas, working on machine-learning approaches for watershed-scale water quality forecasting, particularly in non-perennially flowing hydrologic systems.
Postdoctoral Fellow at Chapman University who models post-fire hydrology, floods, and debris flows to inform long-term emergency planning and resilient infrastructure design.
Postdoctoral researcher at the Colorado School of Mines. Her research interests are in hydrologic modeling and machine learning focusing on subsurface flow processes, and climate change impacts on the hydrologic cycle.
Undergraduate student in Environmental Science at the College of Coastal Georgia, with a focus on the water resource impacts of mining. He is interested in applying machine learning and geospatial data to protect ecosystems and support informed environmental decision-making.
Ph.D. candidate in Earth Systems Science at Florida International University. Her research focuses on hydrology and drought modeling for informed decision-making processes.
Assistant Professor at Middle Tennessee State University, specializing in freshwater pollutant dynamics, sediment transport, and the spatial and temporal patterns of urban light pollution.
Ph.D. candidate at Western Michigan University investigating groundwater recharge from extreme precipitation in arid regions. Hassan is interested in hydrological modeling, climate extremes, and spatial data analysis.
M.S. student in computer science at Clemson University. His research involves applied machine learning in hydrology and agriculture.
Ph.D. candidate at Miami University focusing on hydrogeochemistry and climate change impacts on terrestrial and aquatic ecosystems, with expertise in isotope analysis, environmental data science, machine learning, and geospatial analysis.
Postdoctoral research scholar at the University of Central Florida, working on storm surge prediction using machine learning. Passionate about water, climate resilience, and building data-driven solutions for real world environmental challenges.
Postdoctoral Research Scholar at University of Iowa, focuses on applying advanced modeling and remote sensing techniques for environmental monitoring and enhance public scientific engagement.
Ph.D. Candidate in Earth Systems Science at Florida International University. His research focuses on Water Quality monitoring for inland water bodies using remote sensing and machine learning techniques. Other research interests include Water Resources, Environmental, Hydrology, and watershed management.
Ph.D. student in Ecosystem Science and Sustainability at Colorado State University. Her research focuses on climate change impacts on high alpine groundwater systems.
Ph.D. student in climate-smart agriculture and forestry, using ASD for agricultural analysis and remote sensing with AI for forestry to enhance sustainable land management and optimize carbon market strategies.
Ph.D. candidate at the University of Virginia using machine learning and deep learning methods to predict flash droughts, assess hydrologic impacts, and improve drought monitoring with the integration of remote sensing data.
PhD candidate at Stevens Institute of Technology, focuses on applying advanced modeling and remote sensing techniques for environmental monitoring and enhance public scientific engagement.
Software engineer and environmental scientist, with significant contributions to NASA projects and full-stack web development. Sergio specializes in Python, JavaScript, C++, data science, and machine learning.
Doctoral candidate in Earth Systems Science at Florida International University. Her research focuses on hydrology and drought modeling for informed decision-making processes.
PhD student working as a research assistant at the University of Iowa. He focuses on developing web-based hydroinformatics tools for research and education.
Ph.D. student in Water Resources Engineering at Clemson University. He is interested in climate compound extremes, stochastic hydrology, and statistical modeling.
PhD student in the College of Agriculture, Forestry, and Life Sciences at Clemson University. Her research focuses on soil water repellency in agroecosystems.
Postdoctoral Researcher at Illinois State University. Galina investigates suspended sediment transport in rivers, the bioturbation of bottom sediment' effect on turbidity cycles, and the distribution of suspended and dissolved pollutants.
Ph.D. student in Civil Engineering at Clemson University, specializing in climate extremes and hydrological modeling.
Undergraduate student in environmental engineering at the University of South Florida. She has worked on watershed sustainability and assessments.
PhD student at the University of Massachusetts Amherst. She uses hydrodynamic modeling, spatial analysis, and risk assessment tools to study exposure and adaptation to climate hazards.
Postdoctoral researcher at the Colorado School of Mines. Her research interests are in hydrologic modeling and machine learning focusing on subsurface flow processes, and climate change impacts on the hydrologic cycle.
Geoscientist at the University of Pittsburgh with a passion for unraveling Earth's mysteries. He thrives in exploring the complexities of our planet's geological processes.
PhD Candidate in Earth Systems Science at Florida International University. His research focuses on Water Quality monitoring for inland water bodies using remote sensing and machine learning techniques. Other research interests include Water Resources, Environmental, Hydrology, and watershed management.
PhD student in the Department of Earth, Atmospheric, and Planetary Sciences at Purdue University. Her main research interest is studying large river basins, multi-isotope analyses, and hydrogeochemical approaches. She is also interested in hydrologic modeling, machine learning & data analytical approaches.
Graduate student at Southern Methodist University interested in remote sensing and surface hydrology.
