Dusan Gostimirovic of McGill University

Progress in the field of integrated photonics has been greatly accelerated by leveraging the existing microelectronics fabrication infrastructure. However, the fabrication of nanophotonic circuits carries a new set of challenges due to the high sensitivity of light–matter interactions. As the devices of integrated photonic circuits become smaller and more complex to satisfy increasing demands for performance, random errors and systematic inaccuracies in fabrication can cause significant reductions in real-world performance. In this lecture, we will discuss modern methods of fabricating photonic circuits, the challenges in fabricating next-generation designs, as well as current and near-future methods of overcoming these challenges.

Biography:

Dusan Gostimirovic is a postdoctoral researcher at McGill University in Montreal, Canada, in collaboration with the National Research Council Canada (NRC), researching modern machine learning methods for the design of next-generation photonic circuits and devices. He received his PhD in Electrical and Computer Engineering from Carleton University in Ottawa, Canada, in 2021, where he worked on the design, fabrication, and experimental analysis of silicon photonic devices for high-bandwidth and low-power computing and communications applications. His current work is focused on the development of machine-learning-based methods for the accelerated design of highly robust, high-performance integrated photonic devices that are insensitive to fabrication-process-induced structural and performance variations. 

Email:

Address:McGill University, Department of Electrical and Computer Engineering, Montreal, Quebec, Canada