Prof. Luca Daniel

Professor Daniel works on computational techniques for modeling and design of complex systems, including for microsystems (for example, integrated circuit modeling and design) and biomedical applications (electromagnetic analysis for magnetic resonance imaging, for example). His research encompasses the development of computationally-efficient integral equations solvers (e.g., “field solvers”), parameterized model-order reduction techniques and methods for uncertainty quantification, and their embodiment in useful software tools. His work has been widely recognized, most recently with a 2014 best-paper award from the IEEE Transactions on Computer Aided Design, and he is having tremendous practical impact in applications such as rapid electromagnetic field prediction for MRI scanners. He has also made key educational contributions, including heavily updating and expanding the content of MIT’s flagship class on numerical simulation, (Introduction to Numerical Simulation) and working with colleagues to revamp the department's undergraduate header course (Electromagnetics and Applications).