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Time Speaker Topic
  7:50 am – 8:00 am Mahdi Nikdast (CSU) and Kaveh Rahbardar Mojaver (McGill) SPHPC’23 Opening!
Session 1

Chair: Mahdi Nikdast

(Feb. 26th)

8:00 am – 8:20 am Volker J. Sorger

George Washington University, USA

Photonic Machine Intelligence: Tensor Core, Convolution Accelerator, Chip Packaging
8:20 am – 8:40 am Sean Pang

University of Central Florida, USA

Coherent Matrix Accelerator for Scalable Photonic Information Processing
8:40 am – 9:00 am Sudeep Pasricha

Colorado State University, USA

Hardware/Software Codesign of Machine Learning Accelerators with Silicon Photonics

9:00 am – 9:20 am Ajay Joshi, Boston University, USA Photonic Computing Architectures for AI: A Systems Perspective
9:20 am – 9:40 am Sebastien Le Beux

Concordia University, Canada

A Nanophotonic Interconnect based on Non-Volatile Phase Change Material
9:40 am – 9:50 am Kh Arif Shahriar

PhD student, ECE Department, McGill University, Canada

Pseudo-3-Party Infrastructure for Physical-Layer Secure Optical Communication
  9:50 am – 10:00 am Daniel Hutama

School of Electrical and Computer Engineering, University of Ottawa, Canada

Towards monolithic quantum state generation and measurement with III-V materials
Coffee break 10:00 am – 10:20 am
Session 2 

Chair: Kaveh Rahbardar Mojaver

(Feb. 26th)

10:20 am – 10:40 am Bhavin Shastri

Queens University, Canada

Neuromorphic Silicon Photonics and Applications from Classical to Quantum
10:40 am – 11:00 am Emanuel Peinke

3e8, Canada

A Scalable Optics Computing Approach
11:00 am – 11:20 am Nathan Youngblood

University of Pittsburgh, USA

Photonic Architectures for Computing In Memory Using Nonvolatile Optical Materials
11:20 am – 11:40 am Dan-Xia Xu

National Research Council (NRC), Canada

Optimization in the Non-Convex Design Space of Nanophotonic Components: Mitigation Strategies Using Machine Learning
11:40 am – 12:00 pm Dusan Gostimirovic

McGill University, Canada

Fabrication-Aware Design of Integrated Photonic Devices Using Convolutional Neural Networks
12:00 pm – 12:20 pm David Pan

The University of Texas at Austin, USA

Closing the Virtuous Cycle of Photonics for AI and AI for Photonics