Events

Join us on November 5 as we welcome Alumni from our graduate programs to speak about the impact their graduate degree had on their career path. This is a great event to attend if you are curious about how a graduate degree in engineering can support you!

Date: Friday, November 5
Time: 12pm-1pm EDT

Panelists:

Join Chris Wilson, faculty member at the Institute for Quantum Computing (IQC) and the Department of Electrical and Computer Engineering, in conversation with scientific outreach manager John Donohue.

As part of the Water Institute's WaterTalks lecture series, Erin Mahoney,
Commissioner of Environmental Services for York Region and Douglas Wright
Engineer-in-Residence will present: York Region’s One Water Story…
recognizing the value of water in all its forms.

Sustainable nanomaterials, such as cellulose nanocrystals (CNCs) are rod-like nanoparticles obtained by sulfuric acid hydrolysis of cellulose fibres.

Join Research Talks, a panel discussion and Q&A examining the future of
employment featuring:

Meet graduate student researchers from science,
engineering, and mathematics and hear how they discovered quantum information
science found their way into research, and how the skills they gained in
their undergraduate studies are helping them develop the next generation of
quantum technology.

Candidate: Harry Chan Chan
Title: Implementing FPGA-optimized Systolic Arrays using 2D Knapsack and Evolutionary Algorithms

Date: November 26, 2021
Time: 18:00
Place: MS Teams
Supervisor(s): Kapre, Nachiket

Abstract:
Underutilization of FPGA resources is a significant challenge in the deployment of FPGAs as neural network accelerators.
We propose an FPGA-optimized systolic array architecture to improve the CNN inference throughput by orders of magnitude through

Candidate: Di Wang
Title: Interval Type Inference: Improvements and Evaluations

Date: December 2, 2021
Time: 15:00
Place: MS Teams
Supervisor(s): Dietl, Werner

Abstract:
Interval analysis estimates the run-time intervals of numerical expressions in the source code by computing a lower bound and an
upper bound. Interval analysis for integral types is useful in providing facts of the target program to help developers find