Outlines the Master in Computational Science and Engineering program at EPFL, detailing its structure, projects, and career opportunities for graduates.
Addresses the challenges and opportunities in engineering education at EPFL and ETH Zurich, focusing on student growth and the need for effective communication.
Delves into the development of project-based learning at EPFL, emphasizing interdisciplinary projects, transversal skills, and strategic alignment with best practices in engineering education.
Explores scaling laws, simulations, and challenges in electrostatic MEMS, focusing on energy density, capacitance, actuators, and practical applications in haptic gloves.
Covers spontaneous brain network activity, neural simulation, and validation, emphasizing the importance of in-vitro and in-vivo conditions for accurate network modeling.
Covers Lorentz Transmission Electron Microscopy and its role in analyzing magnetic domain structures and properties through various imaging modes and quantitative methods.