PRESENTATION


Enabling High-Volume PIC Manufacturing through Interactive Verification & Data-Driven Design Workflows

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.

Martin Fiers

Luceda Photonics


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.