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 – 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 more
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.
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 more
The Brainwave project has received funding from NWO-TTW with the grant number 14714.
Efficient Deep Learning (EDL)
The EDL project has received funding from NWO-TTW with the grant number P16-25.
The oCPS-ITN project has received funding from the European Union’s Horizon 2020 Framework Program for Research and Innovation under grant agreement no 674875.
The REXUS/BEXUS programme allows students from universities and higher education colleges across Europe to carry out scientific and technological experiments on research rockets and balloons.
Meet some of our Researchers
Majid Nabi Najafabadi
Gerard de Haan
WORK WITH US!
All scientific as well as non-scientific vacancies are centrally cataloged by the Electrical Engineering department and can be found here.
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 most recent peer reviewed publications
Near-memory computingMicroprocessors and Microsystems (2019)
Parametric scheduler characterizationACM Transactions on Embedded Computing Systems (2019)
Scatter scrubbing32nd IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT 2019 (2019)
Data-driven calibration estimation for robust remote pulse-oximetryApplied Sciences (Switzerland) (2019)
Optimization of cell-aware ATPG results by manipulating library cells' defect detection matrices3rd IEEE International Test Conference in Asia, ITC-Asia 2019 (2019)