Omer Mermer
Research Associate Professor
Omer Mermer, Ph.D., is a Research Associate Professor at the ByWater Institute at Tulane University. With a multidisciplinary foundation in physics and electrical engineering, his work focuses on bridging the gap between advanced computational techniques and environmental engineering applications. He has led and contributed to numerous high-impact projects funded by the NSF, USGS, and NOAA, particularly those involving data-driven analysis, intelligent systems, sensor technologies, and real-time hydrological monitoring systems.
At Tulane, Dr. Mermer’s research focuses on developing ML/DL models, edge computing, digital twins, IoT sensor networks, and hydrological monitoring for environmental engineering applications. Before joining Tulane, he was an Associate Research Scientist at the University of Iowa, where he led transformative projects including Harmful Algal Bloom (HAB) prediction platforms, digital twin frameworks for environmental analysis, and the implementation of large language models in hydrology.
Dr. Mermer holds a Ph.D. in Physics from the University of Iowa and earned his Bachelor and Master of Science degrees in Electrical & Electronics Engineering from Ege University. He currently serves as an Early Career Editorial Board Member for the journal Hydrology (MDPI) and acts as an External Expert and Rapporteur for proposals submitted to the European Cooperation in Science and Technology (e-cost).
Research Areas
- Deep Learning & Machine Learning: Development of predictive models for water quality, environmental monitoring, energy, agriculture, and transportation.
- Intelligent Systems & Digital Twins: Creating AI-driven frameworks for water resource management and infrastructure impact analysis.
- Explainable AI (XAI): Applying global and local explainability (e.g., SHAP) to interpret complex models in agriculture and environmental science.
- IoT & Edge Computing: Designing intelligent sensor technologies and edge-based computational systems.
