Current students

Yossef Musleh, Master’s candidate
David R. Cheriton School of Computer Science

We introduce a Monte Carlo randomized algorithm for computing the characteristic polynomial of a rank 2 Drinfeld module than runs in $O(n^2 \log n \log \log n \log q)$ field operations. We also introduce a deterministic algorithm that runs in $O(n^{2.6258} \log n + n^2 \log n \log log n \log q)$ field operations. Both approaches are a significant improvement over the current literature.

Elaheh Jalalpour, Master’s candidate
David R. Cheriton School of Computer Science

Ahmed Khan, Master’s candidate
David R. Cheriton School of Computer Science

Neurobiologically-plausible learning algorithms for recurrent neural networks that can perform supervised learning are a neglected area of study. Equilibrium propagation is a recent synthesis of several ideas in biological and artificial neural network research that uses a continuous-time, energy-based neural model with a local learning rule. However, despite dealing with recurrent networks, equilibrium propagation has only been applied to discriminative categorization tasks.

Angshuman Ghosh, Master’s candidate
David R. Cheriton School of Computer Science

Pirathayini Srikantha, Department of Electrical and Computer Engineering
Western University