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<p>TU Eindhoven </p> <p>Math and Computer Science</p> <p>CASA, HPSC </p> <p>NL-5612 AE, Eindhoven</p> <p>Room MF5097</p></p>
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Victorita Dolean is Full Professor in the Department of Mathematics and Computer Science, Centre for Analysis Scientific Computing and Applications (CASA) at Eindhoven University of Technology (TU Eindhoven).
Her main research areas are numerical methods for partial differential equations and scientific computing, with a strong focus on numerical linear algebra, in particular preconditioning techniques based on domain decomposition methods. A central theme of her work is computational wave propagation, with special emphasis on high-frequency wave problems, where scalability and robustness are major challenges. She is interested in applications to medical imaging and geophysical (seismic) imaging. Her research is closely connected to high-performance computing (HPC) and the design of algorithms that remain effective at large scale. More recently, Victorita has also been focusing on the combination of scientific computing and machine learning, a rapidly emerging field known as scientific machine learning (SciML). Overall, her work spans the development of novel numerical methods, their theoretical foundations, and their efficient implementation and validation on real-world problems.