Post in Coventor MEMS+ Blog
Using Machine Learning to Develop a Real-Time Model of a MEMS Disk Resonating Gyroscope.
Seminar @ Machine Learning + X Seminars (CRUNCH Group, Brown University)
Deep learning-based reduced order models for parametrized PDEs.
Article in Enginsoft Newsletter - RESEARCH & INNOVATION
Deep learning-based reduced order models - the new frontier in numerical simulation for microsystems.
Talk @ Mathematics of Deep Learning Workshop (Isaac Newton Institute, University of Cambridge)
POD-DL-ROM - a comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs.
Talk @ MCF2021 Congress
Deep learning-based reduced order models for the real-time approximation of nonlinear time-dependent parametrized PDEs.
Talk @ 36th international CAE conference and exhibition
How medicine and engineering interrelate - a female bioengineering perspective.
Interview for iHEART project channel
How will artificial intelligence contribute to computational cardiac medicine of the future.
Interview ioDONNA magazine
A PhD student studies how to cure the heart with mathematics.