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.
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...
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...
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.Read more
Meet some of our Researchers
Beatrijs van der Hout
Judith van Laar
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.
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.
Our most recent peer reviewed publications
Improving sleep/wake classification with recurrence quantification analysis featuresBiomedical Signal Processing and Control (2019)
Sharing lighting control in an open officeBuilding and Environment (2019)
A factor graph approach to automated design of Bayesian signal processing algorithmsInternational Journal of Approximate Reasoning (2019)
Assessment of visibility graph similarity as a synchronization measure for chaotic, noisy and stochastic time seriesSocial Network Analysis and Mining (2018)
Enhanced food-related responses in the ventral medial prefrontal cortex in narcolepsy type 1Scientific Reports (2018)