This project investigates and develops efficient low-complexity machine learning techniques for signal processing in automotive radar systems.


This project studies the technical feasibility of our previously-introduced hybrid decoding and low-complexity shaping algorithms based on hardware implementations.


In this project the architecture and signal processing of distributed massive MIMO systems is explored. This project is based on the multi-user information theory and the application of coding techniques for reliable transmission.

The goal of this project is to redefine the way signal shaping techniques have been used so far in linear channels to operate at information rates never achieved before in fibre-optic communications.

The enumerative shaping for optical communications project studies sphere shaping of multidimensional constellations employing enumerative techniques.


This project studies fundamental questions regarding data transmission in the nonlinear optical channel, including for example, the maximum amount of information that optical fibres can carry in the highly nonlinear regime.


The project studies multi-dimensional modulation formats to increase the capacity of optical communication systems based on an information-theoretic approach.

The project studies accurate channel models for the nonlinear optical channel in the high-power regime and novel coded modulation transceivers tailored to the nonlinear optical channel.

SILIKA is a European funded Marie Curie project that started September 1, 2016, with partners from Sweden, Belgium and the Netherlands. Its main purpose is to train 12 young researchers (PhD students) to become experts in key technologies for future mobile telecommunication systems. Throughout the training programme, the PhD students will each work on an individual research topic that is of high relevance for the successful development of the next generation mobile telecommunication system (5G).


The project studies coding for the fiber optical communication channel. It is a collaboration project between University College London (UCL) in the U.K., Chalmers University of Technology in Sweden, Alcatel-Lucent Bell Labs in Germany, University of Toronto in Canada, and TU/e in The Netherlands

The enumerative shaping for wireless communications studies sphere shaping of multidimensional constellations employing enumerative techniques.

The signal shaping project studies probabilistic and geometric shaping for communications with applications to fiber optical communications.

The iCAVE project focuses on the implementation of a RADAR-based communication, allowing advanced driver assistance systems (ADAS). The main goal is to realize a more robust and synergetic approach to sensing and communication.


The PATRIOT provides an alternative for outdated password-based security and costly secure elements. For this, PUFs that provide unique fingerprints for chips and which have been vetted for government and defense use will be brought to mass consumer markets. PATRIOT will port PUFs to resource constrained devices that are popular among end-users (mobiles/wearables), where they will be used for strong authentication and key storage.


AU2EU project aims to implement and demonstrate in a real-life environment an integrated eAuthentication and eAuthorisation framework to enable trusted collaborations and delivery of services across different organisational/governmental jurisdictions

PriCoR project aims at new and reliable biometric systems for both authentication and identification with minimum privacy leakage.


The goal of BASIS project is to investigate the possibilities of biometric authentication for securing the access to information and services in the personal environment, with a focus on user convenience and privacy protection.


Within the Context-Tree Weighting Project a universal data compression algorithm for the class of tree sources was developed that combines an excellent performance with a straightforward analysis


The enumerative shaping project studies sphere shaping of multidimensional constellations employing enumerative techniques.

Shaping techniques applied to communications.