About
Georges Gielen is a pioneering figure in analog and mixed-signal integrated circuit design, with a career spanning over three decades. His research focuses on three key areas: computer-aided design (CAD) for analog circuits, sensor interface electronics, and neuromorphic computing. Gielen’s major contributions include the development of MOJITO, a genetic programming-based system for the trustworthy structural synthesis of analog circuits (78 citations), which revolutionized automated circuit design by using hierarchical domain-specific building blocks. He has also advanced low-power sensor interfaces, notably demonstrating a sensor-to-digital interface built entirely with carbon nanotube FETs (59 citations), a breakthrough for energy-constrained sensing applications. More recently, Gielen has pioneered neuromorphic solutions for sensor fusion and continual learning, including spiking readouts for high-density electronic skins (5 citations) and radar gesture recognition for IoT devices. With over 600 publications and 20,000+ citations, his work has profoundly impacted both academic research and industrial practice. A Fellow of the IEEE, Gielen’s achievements include the EDAA Achievement Award and the IEEE CAS Mac Van Valkenburg Award, cementing his legacy as a leader in analog design automation and emerging nanoelectronic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Sensor-to-Digital Interface Built Entirely With Carbon Nanotube FETs59 citations · 2013
- 3
- 4Sacha9 citations · 2013
- 5
- 6Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems4 citations · 2024