Hazem U. Abdelhady
Earth and Planetary Sciences · Purdue University West Lafayette
Publications
15
Citations
113
Est. group size
~1
Recurring co-author estimate
Active years
7
Publishing since 2020
This researcher studies the physical processes shaping the Great Lakes, including lake ice cover, shoreline change, extreme temperatures, and waves, using a combination of physical modeling and machine learning/deep learning techniques. Recent work also explores how artificial intelligence could transform future Great Lakes observation, forecasting, and management. The research has practical applications such as assessing risks for offshore wind development and understanding coastal erosion from changing water levels.
Publication output has grown steadily over the last decade, rising from no publications before 2020 to a consistent 3-4 per year since 2023.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- A Vision for Machine Learning and Artificial Intelligence in Great Lakes Research and Management
2026
- Climate change-induced amplification of extreme temperatures in large lakes
Communications Earth & Environment · 2025
- The Spatiotemporal Dynamics of Heatwaves and Cold‐Spells in Earth's Largest Freshwater Systems
Geophysical Research Letters · 2025
- Shoreline responses to rapid water level increases in Lake Michigan
Geomorphology · 2025
- Evaluating Ice Risks for Offshore Wind Development in the Great Lakes Using Simulated Historical Ice Conditions (1940-2022)
2025
- A deep learning approach for modeling and hindcasting Lake Michigan ice cover
Journal of Hydrology · 2024
- Mapping Out How Machine Learning and Artificial Intelligence Will Change Great Lakes Observations, Modeling, and Forecasting in the Coming Decade
Bulletin of the American Meteorological Society · 2024
- A machine learning approach to nearshore wave modeling in large lakes using land-based wind observations
Journal of Great Lakes Research · 2024
- A Deep Learning Approach for Modeling and Hindcasting Lake Michigan Ice Cover
arXiv (Cornell University) · 2024
- MODELING LAKE MICHIGAN SHORELINE CHANGES IN RESPONSE TO RAPID WATER LEVEL FLUCTUATIONS
2023
- A Machine Learning Framework for Extending Wave Height Time Series Using Historical Wind Records
arXiv (Cornell University) · 2023
- Shoreline Responses to Rapid Water Level Increases in Lake Michigan
arXiv (Cornell University) · 2023
- A Simple, Fully Automated Shoreline Detection Algorithm for High-Resolution Multi-Spectral Imagery
Remote Sensing · 2022
- A reduced-complexity shoreline model for coastal areas with large water level fluctuations
Coastal Engineering · 2022
- Parallelized Bi-level optimization model with continuous search domain for selection of run-of-river hydropower projects
Renewable Energy · 2020
- arXiv (Cornell University)×3
- Remote Sensing×1
- Coastal Engineering×1
- Communications Earth & Environment×1
- Geophysical Research Letters×1
- Sathya Gopalakrishnan
Earth and Planetary Sciences · The Ohio State University
- Xiaoyu Li
Earth and Planetary Sciences · The Ohio State University
- Ningchuan Zhang
Earth and Planetary Sciences · Indiana University
- Cary D. Troy
Earth and Planetary Sciences · Purdue University West Lafayette
- Qin Jiang
Environmental Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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