Department of Electrical Engineering

Signal Processing Systems

Enabling the digital revolution through theories, algorithms, architectures and solutions for analyzing and interpreting signals, images, and multivariate data sets.

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Making sense of signals, images and data 

The Signal Processing Systems (SPS) group studies theories and techniques to extract meaningful information from signals, images, and multivariate data sets. We combine academic excellence with a strong real-world impact in biomedical instrumentation, medical image analysis, video surveillance, autonomous vehicles, digital wireless and optical communication, hearing aids, and intelligent lighting.

The SPS group has top scientists in signal and image analysis, information and communication theory, and machine learning and artificial intelligence. We also host many senior clinical and industrial experts on a part-time basis, which allows many of our students to be co-supervised by these experts.

Our labs

Bayesian Intelligent Autonomous Systems Lab

At BIASlab we study and develop intelligent agents like HADA to solve difficult reinforcement problems for wearable computing systems like...

Biomedical Diagnostics

Clinical relevance is our commitment, achieved through close collaboration with selected clinical/industrial partners and advisors.

Information and Communication Theory Lab

Our mission is to study information processing in a broad sense. We focus on finding fundamental limits but also on the data processing...

Neu3CA

We aim to learn more about neurocognition by studying epilepsy, the most common neurological disease, which affects 1-2% of the population....

Video Coding & Architectures

Artificial Intelligence within the SPS Group

The SPS group conducts both fundamental and application-driven research on cutting-edge Artificial Intelligence (AI) technology for signal processing systems. We also provide a broad palette of academic coursework on AI that ranges from neuroscience-inspired learning algorithms to deep learning technology and from introductory to highly specialized levels. 

Our group includes more than 25 academic faculty members and about 100 PhD students with specialized expertise across a wide range of machine learning and signal processing topics. This page provides a gateway to our activities on AI for signal processing systems.

Meet some of our Researchers

Full Professor

Sebastiaan Overeem

Associate Professor

Martin Bastiaans

Assistant Professor

Xi Long

Full Professor

Frans Willems

Full Professor

Ronald Aarts

Associate Professor

Pierre Cluitmans

Assistant Professor

Rik Vullings

Full Professor

Jean-Paul Linnartz

Full Professor

Johan Arends

Assistant Professor

Judith van Laar

Full Professor

Massimo Mischi

Assistant Professor

Chiara Rabotti

Full Professor

Albert Aldenkamp

Full Professor

Jan Bergmans

Associate Professor

Piet Sommen

University Researcher

Beatrijs van der Hout

Work with us!

If you are a student, potential sponsor or industrial partner and want to work with us, please contact the SPS group chair prof. Jan Bergmans.

Innovation

As a hub in the regional innovation ecosystem, our group collaborates intensively with industry, hospitals and other societal stakeholders, with broad impact:

  • Bidirectional staff exchanges:
    Around 20 senior experts from strategic industrial and clinical partners have part-time appointments in the group, mostly at the level of full professor. Also, several of our senior staff members serve as scientific advisor to a variety of high-tech companies. Furthermore, many of our PhD students are embedded for a significant part of their time with strategic partners.
  • Joint roadmaps:
    We contribute structurally to joint roadmaps with industry in the framework of e.g. the Center for Wireless Technology, the Center for Care and Cure Technologies.and the Eindhoven MedTech Innovation Center
  • Industrial funding:
    Many of our PhD projects are funded partly (and in several cases fully) by industry.
  • Patents:
    Our research frequently results in patent applications, either jointly with industry or with TU/e as main applicant.
  • Real-world applications:
  • Over the years, many of our research results were absorbed in industrial products and/or clinical practice.
  • Start-up companies:
    Since 2000 we have produced 11 start-up companies.
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Student opportunities

For general information on graduation projects and internship projects please have a look at https://www.sps.tue.nl/master/#graduating or contact T.J. Tjalkens (T.J.Tjalkens@tue.nl).

For possibilities within the Labs:

BIAS Lab

BM/d Lab

ICT Lab

Neu3CA

VCA Lab

 

 

Recent Publications

Our most recent peer reviewed publications

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Eindhoven MedTech Innovation Center (e/MTIC)

Bringing technical innovations all the way from early research to implementation and commercialization can often take a long time. In healthcare innovation, in particular, this lost time can often equate to lost lives. The goal of the Eindhoven MedTech Innovation Center (e/MTIC) is to create and expand an ecosystem that strongly increases the speed of high-tech health innovation, maximizing value for patients. We consider such an ecosystem to be an unmet need and a unique opportunity for the Brainport region to make significant contributions to visionary new developments in healthcare. e/MTIC is a large-scale research collaboration between the Catharina Hospital (CH), the Maxima Medical Center (MMC), Kempenhaeghe Epilepsy and Sleep Center (KH), Eindhoven University of Technology (TU/e) and Royal Philips Eindhoven (RPE) in the domains cardiovascular medicine, perinatal medicine and sleep medicine. The partnership has evolved over several decades, has a strong scientific and valorization track record and currently encompasses around 100 PhD students, supervised by a similar number of experts from the various partners.

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