Covers spontaneous brain network activity, neural simulation, and validation, emphasizing the importance of in-vitro and in-vivo conditions for accurate network modeling.
Explores physics-informed imaging systems, including lensless imaging, deep learning for imaging challenges, and the development of noise models for low-light videos.
Outlines the Master in Computational Science and Engineering program at EPFL, detailing its structure, projects, and career opportunities for graduates.
Covers the definitions and characteristics of transducers, sensors, and actuators in different physical domains, emphasizing sensor performance and measurement accuracy.
Covers the rolling shutter effect and noise sources in CMOS cameras, highlighting solutions for image deformation and the advantages of pinned photodiodes.
Explores noise and propagation fundamentals in radiation, antennas, and wireless communications, covering internal and external noise sources, thermal noise, wireless principles, and signal propagation phenomena.