Mohamed Akrout

Research Scientist interested in Decision
Making Theory, Machine Learning and Neuroscience

About

I'm a Research Scientist at Triage in Toronto, Canada working on Healthcare and Machine Learning. I'm interested in studying general principles of intelligence in the brain and investigating how biologically plausible neural networks models enable memory, learning and behaviour with minimal supervision in real-world environments. I am seeking to understand the computational issues in terms of efficiency and realtime adaptation. To answer these sort of questions about the underlying mechanisms in the brain, one need to know more about mathematical models in general with extra biological constraints.
I recently completed my Masters at University of Toronto under the supervision of Prof. Amir-massoud Farahmand. While at UofT, I was also closely collaborating with Prof. Douglas Tweed's Neuroscience group.
Before graduate school, I enrolled in a dual undergraduate degree program where I studied Computer Science at Polytechnique Montréal and both Statistics and Economy at Télécom ParisTech where I collaborated with Prof. David Bounie to build an automated system to analyze millions of payment transactions. In May 2017, I interned at Ecole normale supérieure in Prof. Srdjan Ostojic's group to study finite rank perturbations of a computational neuroscience model based on Echo State Networks.

Research




Deep Learning without Weight Transport
NeurIPS 2019
M. Akrout, C. Wilson, P. C. Humphreys, T. Lillicrap, D. Tweed
Improving Skin Condition Classification with a Visual Symptom Checker trained using Reinforcement Learning
MICCAI 2019
M. Akrout, A.M. Farahmand, T Jarmain, L. Abid
TBD: Benchmarking and Analyzing Deep Neural Network Training
IISWC 2018
H. Zhu, M. Akrout, B Zheng, A. Pelegris, A. Phanishayee
B. Schroeder, G. Pekhimenko

Workshop Publications

Hacking Google reCAPTCHA v3 using Reinforcement Learning
RLDM Workshop, 2019
I. Akrout*, Amal Feriani*, M. Akrout pdf

GAN-generated images of a terraformed Mars
NeurIPS Workshop on Machine Learning for Creativity and Design, 2018
A. Jimenez, A. Romero, S. Solis-Reyes, M. Akrout, A. Challa Link Website Instagram

Improving Skin Condition Classification with a Question Answering Model
NIPS Workshop on Medical Imaging, 2018
M. Akrout, A.M. Farahmand, T Jarmain pdf

Q&A-informed image-based deep learning for skin disease recognition in the real world
SOCML Workshop, 2018
A. Romero-Lopez, T. Jarmain, L. Abid, J. Maltais, A. Jimenez, J. Kawahara, G. Hamarneh
S. Ao, M. Akrout, A. Challa, M. Aristocrat, K. Cirone, S. Solis, A. McCann
pdf