Electronic Systems
Our goal is to create constructive design trajectories for electronic systems that lead to high-quality, cost-effective systems with predictable properties (functionality, timing, reliability, power dissipation, cost).
Designing better ways to design better electronics
Electronic systems are everywhere. They closely interact with the physical systems they are embedded in, with human users, and with other systems connected in networks. Electronic systems are how we are going to create a smart society 鈥� if we can solve the societal challenges of reliability, miniaturization and reduction of power dissipation. The Electronic Systems (ES) research group aims to provide a scientific basis for design trajectories for electronic systems, from function to realization, and to do so in collaboration with industry.
Read moreMission
Electronic Systems aims to provide a scientific basis for constructive design trajectories for electronic systems, from function to realization.
News
Education
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All Bachelor Final projects and Master projects offered by the Electrical Engineering department can be found at the and . You can login to this website using your 黑料福利网 account.
Our Labs
WORK WITH US!
All scientific as well as non-scientific vacancies are centrally cataloged by the Electrical Engineering department and can be found .
We are always looking for exceptional candidates interested in pursuing a PhD. So if you have (almost completed) a Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related area, and if you have expertise and interest in one or more relevant areas, e.g., digital circuits, VLSI, design automation, multiprocessor systems-on-chip, models of computation, compiler technology, embedded systems, IoT, or CPS, you are invited to apply.
Our subprograms
The ES research program targets the design of next generations of electronic systems. It is organized in three subprograms that cover the engineering, system and circuit perspectives. This allows an integral approach to the design of electronic systems.
Highlighted projects
Research highlight: Machine Learning
Machine learning and in particular deep learning (DL) has dramatically improved the state-of-the-art in object detection, speech recognition, robotics, and many other domains. Whether it is superhuman performance in object recognition or beating human players in Go, the astonishing success of deep learning is achieved by deep neural networks trained with huge amounts of training examples and massive computing resources. Although already applied successfully in academic use-cases and several consumer products (e.g. machine translation), these data and computing requirements pose challenges for further market penetration. Efficient Deep Learning (EDL) is an important focus point of our Smart Electronic Systems and Digital Nanoelectronics subprograms.
Read moreMeet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
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 -
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