Dr. Martin Fiers received his Ph.D. degree in Integrated Photonics at Ghent University (UGent) in Belgium, 2013. During his Ph.D., Martin has researched novel type of photonic hardware architectures for all-optical computing, inspired by machine learning. Martin also developed the integrated photonics circuit simulator Caphe. After finishing his Ph.D. degree, he has done business development for 1 year to prepare for the startup company Luceda Photonics. Martin co-founded Luceda Photonics in 2014, and has been working with the company since then as the product manager.
As PICs move to high-volume manufacturing, the design flow must mature beyond the Python-based scripting standards we helped establish through years of global partnerships. Building on this legacy of industry-standard innovation, this presentation outlines the next steps towards a design-for-yield flow focused on closing the loop between foundries and PIC designers. By integrating "shift-left" automated verification (DRC, LVS, functional checks) and evolving our proven scripting framework to be AI-ready, we provide the reliability required for modern designer productivity. Through photonics-optimized data pipelines, the design process can move from iterative experiments to a data-driven workflow ready for the next era of volume manufacturing.