Mehdi Ostadhassan

Professor Mehdi Ostadhassan's research lab specializes in advancing predictive modeling and materials science within petroleum engineering and energy applications. The lab focuses on developing machine learning and artificial intelligence techniques to improve the accuracy of reservoir property predictions—such as water saturation and dead oil viscosity—while also exploring novel functional materials like four-fold coordinated Prussian blue analogs for next-generation energy storage. The integration of data-driven methods with fundamental physical and chemical principles defines the lab’s interdisciplinary approach to solving complex challenges in hydrocarbon recovery and sustainable energy technologies.