dr.ir. J. Dauwels
Circuits and Systems (CAS), Department of Microelectronics
Expertise: Machine learning, with applications to autonomous vehicles and biomedical signal processingThemes: Biomedical signal processing/wavefield imaging, Signal processing for communication
Justin Dauwels starts in January 2021 as Associate Professor at TU Delft. Prior to this, he was Associate Professor with the School of Electrical & Electronic Engineering at Nanyang Technological University (NTU), Singapore.
He obtained a PhD degree in electrical engineering at the Swiss Polytechnical Institute of Technology (ETH) in Zurich in December 2005. Next, in 2006-2007 he was a postdoc at the RIKEN Brain Science Institute, Japan (Prof. Shun-ichi Amari and Prof. Andrzej Cichocki), and a research scientist during 2008-2010 in the Stochastic Systems Group (SSG)at the Massachusetts Institute of Technology (MIT), led by Prof. Alan Willsky. He joined NTU in 2010.
His research interests are in Bayesian statistics, iterative signal processing, and computational neuroscience.
EE-BD Biomedical Devices (BD) profile
A profile in our MSc-EE program dedicated to biomedical devices. Biomedical devices are used for medical diagnosis, monitoring and treatment. They can be fixed, portable, wearable, implantable and injectable. They are active and thus embed electronics, computing and software
EE4685 Machine learning, a Bayesian perspective
Mathematical foundation for machine learning algorithms, presented from a statistical (Bayesian) and optimization point of view.
EE4C03 Statistical digital signal processing
A second course on digital signal processing: random signals, covariances, linear prediction, spectrum estimation, optimal filtering, Wiener and Kalman filters, LMS and RLS algorithm
Last updated: 28 Feb 2022