Research

Through our research, we define and answer fundamental challenges in the field of chip design and generate breakthroughs that enable new solutions based on microelectronics, both in academia and in industry.

Research Approach

A unique research method, leading to breakthrough chips

MICAS has a research pipeline, spanning from conceptual academic research, towards applied research in collaboration with industry. MICAS is also unique in the broad range of research activities it focuses on, incorporating all steps in the design cycle: from system-level conceptualization and architecting, over chip and sensor design and implementation, to fabrication and packaging.

Research highlights

Our latest highlights report can be downloaded here.

Research infrastructure

Our state-of-the-art in-house measurement and technology labs are crucial assets to validate our research results. Our infrastructure includes a Low-frequency measurement lab - a Broadband, optical, mm-wave and THz measurement lab & Chip packaging and modification facilities.

Academic staff

At MICAS, every professor excels in his or her disclipline, skills and expertise acquired at academic institutions, industrial multinationals, or a combination of both, domestically and abroad.

Filip Tavernier
Filip Tavernier
Academic staff
Analog and power management circuits , Mixed-signal circuits and data converters , Wireline and Optical Circuits , Quantum and cryogenic circuits
Georges Gielen
Georges Gielen
Academic staff
Computer-aided hardware design and test , Mixed-signal circuits and data converters , Hardware-efficient AI and ML , Biomedical circuits and sensor interfaces
Marian Verhelst
Marian Verhelst
Academic staff
Ultra-low power digital SoCs and memories , Hardware-efficient AI and ML
Michiel Steyaert
Michiel Steyaert
Academic staff
Analog and power management circuits , RF, mm-wave and THz circuits
Patrick Reynaert
Patrick Reynaert
Academic staff
RF, mm-wave and THz circuits , Wireline and Optical Circuits
Wim Dehaene
Wim Dehaene
Academic staff
Computer-aided hardware design and test , Ultra-low power digital SoCs and memories , Hardware-efficient AI and ML , Biomedical circuits and sensor interfaces