Michiel Steyaert
Papers
2
Total Citations
94
H-Index
2
About
Michiel Steyaert is a leading figure in analog and mixed-signal integrated circuit design, with a career dedicated to advancing the automation and reliability of complex analog systems. His research focuses on the structural synthesis of analog circuits, particularly through computational intelligence and hierarchical design methodologies. Steyaert’s major contribution is the development of MOJITO, a groundbreaking system for the trustworthy, genetic programming-based synthesis of analog circuit topologies. By using expert-specified, hierarchically organized building blocks, MOJITO ensures that generated designs are both innovative and reliable by construction, addressing a critical challenge in analog design automation. His work on variation-aware synthesis further enhances robustness, enabling circuits to perform consistently despite manufacturing uncertainties. With over 78 citations for his seminal 2011 paper on MOJITO, Steyaert’s impact is evident in both academia and industry, where his methods have influenced tools for high-performance analog design. His achievements include pioneering the integration of domain-specific knowledge into evolutionary algorithms, making him a key contributor to the field of analog EDA.
Research Focus
Key Achievements
Top Papers
- 1
- 2