Einar Malvin Rønquist is a Professor and Head of the Department of Mathematical Sciences at NTNU since August 2013. He holds a MSc from NTNU (1980) and a PhD from MIT (1988). His research focuses on numerical solutions of partial differential equations, spectral element methods, reduced basis methods, and computational fluid dynamics. He has been a leader in several research initiatives, including the Computational Science and Visualization program at NTNU (2003–2011). Rønquist is a member of prestigious academies: NTVA (since 2005) and DNKVS (since 2010). He has supervised 8 PhD students and 25 MSc students. His work spans computational science, with notable contributions to parametric modeling, parallel computing, and fluid dynamics simulation. His administrative roles include Vice President of R&D at Nektonics, Inc. (1991–1999) and Deputy Head of NTNU’s Department of Mathematical Sciences (Fall 2012). His publications highlight advancements in numerical methods for PDEs, including spectral element techniques, reduced basis approaches, and high-order approximations for complex geometries.
Einar Malvin Rønquist is a Professor and has served as Head of the Department of Mathematical Sciences at the Norwegian University of Science and Technology (NTNU) since August 2013. He has been a faculty member at the same department since 1999 and is affiliated with the differential equations and numerical analysis (DNA) research group, which he led from 2010-2011. His extensive publication record demonstrates a sustained research career spanning over three decades in computational mathematics. Professor Rønquist's research focuses primarily on numerical methods for partial differential equations, with special emphasis on spectral methods, reduced basis methods, and computational fluid dynamics. His work addresses challenges in high-order approximation, model reduction, and efficient computation for complex physical systems. He has made significant contributions to the development of tensor-product solvers for deformed domains, interface tracking algorithms, and the theoretical foundations of reduced basis methods. His research bridges theoretical mathematics with practical computational applications across engineering and physical sciences, with particular relevance to fluid dynamics, geometric problems, and multi-physics systems. Analysis of Rønquist's publication trajectory reveals a consistent evolution from foundational spectral element methods to advanced model reduction techniques. His work shows increasing sophistication in handling parametric problems and uncertainty quantification while maintaining rigorous mathematical foundations. The publications demonstrate strong contributions to high-order numerical methods, with applications spanning fluid dynamics, geometric problems, and multi-physics systems. Recent work shows particular emphasis on practical computational implementation, including parallel algorithms and efficient solvers for real-world applications that require solving problems on complex or deformed domains. Rønquist has maintained active international collaborations throughout his career, particularly with researchers at MIT (notably Anthony Patera), Université Pierre et Marie Curie (Yvon Maday), and other leading institutions across Europe and North America. His work has appeared consistently in top journals in computational mathematics and scientific computing, including Journal of Computational Physics, SIAM Journal on Scientific Computing, and Computer Methods in Applied Mechanics and Engineering. As department head since 2013, Rønquist has played a significant administrative role in shaping mathematics education and research at NTNU. His leadership extends beyond pure administration, as evidenced by his 2016 commentary in Universitetsavisa regarding the organization of technical cybernetics and electrical power engineering at NTNU, and his 2021 opinion piece in Aftenposten about mathematics examinations. He continues to actively contribute to both the academic and public discourse on mathematics education and research.
Cécile Daversin-Catty is a Research Scientist at Simula Research Laboratory in the Department of Numerical Analysis and Scientific Computing. Her work bridges computational mathematics and biomedical engineering through advanced finite element methods. Education: PhD in Applied Mathematics (2016, Université de Strasbourg), thesis titled 'Reduced basis method applied to large non-linear multi-physics problems: application to high field magnets design' Her research focuses on scientific computing , finite element methods , and mixed-dimensional coupling , with applications spanning fluid mechanics , cardiac electromechanics , and neurovascular modeling . Recent publications highlight her expertise in computational fluid dynamics for cardiac flow simulations, development of FEniCS-based tools for mixed-domain problems, and modeling of perivascular networks. Key trends in her work include: Development of robust numerical frameworks for multi-physics problems Advancing cardiac electromechanical modeling for heart failure studies Exploring glymphatic system dynamics via mixed-dimensional finite elements Software innovation in computational science tools She collaborates extensively with researchers across computational cardiology and neuroscience, contributing to open-source platforms like FEniCS.
