Dr Amra Hasečić: Faster, Greener Heat Transfer Simulations with Machine Learning
| Hello! My name is Amra Hasečić, and I’m a mechanical engineer and researcher from Bosnia and Herzegovina, currently based at the Mathematics Münster – Cluster of Excellence as a WiRe Fellow. I obtained my PhD at the Faculty of Mechanical Engineering, University of Sarajevo in computational fluid dynamics, with a focus on high-temperature multiphase flows — a critical area for industries like metal casting, glass manufacturing, and concentrated solar power. These processes often involve extreme temperatures where radiative heat transfer dominates. But measuring or simulating how heat moves inside such flows is incredibly challenging. Experiments can’t easily probe the interior, and simulations that fully account for radiation are so complex they’re rarely used in practice. That’s where my research comes in. At Mathematics Münster, in the group of Prof Dr Mario Ohlberger, I’m currently exploring how machine learning can be used to predict the internal temperature fields in these flows — using data from simpler simulations that exclude radiation. This approach allows for faster, more accessible predictions that can still capture the key thermal effects of radiation. By bridging physics-based simulations and AI, my work aims to make complex thermal models more practical — helping improve efficiency and sustainability in energy and manufacturing. A fun fact about me: I’m a mother of three, and when I’m not solving equations, I’m usually solving puzzles made of Lego bricks! |
Host Institute: Mathematics Münster – Cluster of Excellence
Scientific Host: Prof Dr Mario Ohlberger