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.
NXP SCHOLARSHIP ON ‘MILLIMETER WAVE WIRELESS TECHNOLOGY’
It is with pleasure that we announce that once again, for the 2023 scholarship round, there are 10 available scholarships for first year master’s students.
What does the NXP scholarship entail
The selected students will receive a scholarship of € 5000 in the first year, and the 5 best prior year scholarship recipients also in the second year. Furthermore, scholarship recipients will be assigned to a coach, and enter the Connected World Technologies track of the EE master’s program with relevant courses related to Millimeter Wave Technology. First-year recipients are required to take part in a team project supervised by NXP running from Nov-June in the first year and may also choose to do their internship and graduation projects with NXP. They are also offered the opportunity to join the Honor’s Academy. At the end of the master’s program, students will receive a special certificate next to their regular master’s diploma in Electrical Engineering.
Who can apply
Interested bachelor students in Electrical Engineering from TU/e, TU Delft or UT are invited to submit their CV, grade list, motivation letter and a short video pitch to the selection committee up to the 25th June 2023 at 23h59. This includes Electrical Engineering students from Dutch Universities of Applied Sciences who have finished the pre-master’s program. More info
News


Our labs
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 moreMeet some of our Researchers
Work with us!
Please check out the TU/e vacancy pages for further opportunities within our group.
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.
Recent Publications
Our most recent peer reviewed publications
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Prognostic Value of Combined Biomarkers in Patients With Heart Failure
Annals of Laboratory Medicine (2023) -
Carotid Doppler ultrasound for non-invasive haemodynamic monitoring
Physiological Measurement (2023) -
Automated detection and classification of patient–ventilator asynchrony by means of machine learning and simulated data
Computer Methods and Programs in Biomedicine (2023) -
Ultrasound Signal Processing
Ultrasound in Medicine and Biology (2023) -
Clinical Trial Protocol
European Urology Open Science (2023)
Contact
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Visiting address
FluxGroene Loper 195612 AP EindhovenNetherlands -
Visiting address
FluxGroene Loper 195612 AP EindhovenNetherlands -
Postal address
P.O. Box 513Department of Electrical Engineering5600 MB EindhovenNetherlands -
Postal address
P.O. Box 513Department of Electrical Engineering5600 MB EindhovenNetherlands -
Secretary BM/d Lab
bmd.secreesps@ tue.nl -
Secretary VCA lab, Mobile Perception Systems lab and NeuroPlatform
vca.secretariat@ tue.nl -
Teamlead
TeamleadJ.W.M.Bergmans@ tue.nl -
Secretary ICT lab, BIAS lab, and Lighting and IoT lab
Secretarysecreesps@ tue.nl