Waleed Khamies

Grad Teaching Assistantship, Faculty of Science - Computing Science

Pronouns: he/him/his

Personal Website: https://waleed.khamies.ca

Contact

Grad Teaching Assistantship, Faculty of Science - Computing Science
Email
khamies@ualberta.ca

Overview

Area of Study / Keywords

Machine Learning Healthcare


About

I am a machine learning scientist and  on the PhD track at the University of Alberta, exploring the intersection of AI and neuroscience to uncover visuo-linguistic patterns in mental health disorders.

I hold a master’s in Mathematical Sciences with a specialization in Machine Learning from AMMI and a bachelor’s in Electrical and Electronics Engineering from the University of Khartoum.

My professional journey includes roles such as Applied Scientist at NTWIST, where I help enterprises leverage machine learning to automate business processes in the manufacturing industry. I focus on both process manufacturing and discrete manufacturing, utilizing self-supervised learning and reinforcement learning (RL). Previously, I contributed to deep learning research at MILA and interned at Brown University’s Robotics Lab, with work recognized at NeurIPS and ICML workshops.

For more information, please visit my website at waleed.khamies.ca.


Research

  1. Khamies; The Creative Engine: Explore Generative Modeling From VAE to Diffusion Models; 2023; Book, ISBN 978-1-7390105-4-6; Online Draft
  2. Khamies; How to Solve Algorithm Problems: Make Coding Interview Preparation Less Painful; 2023; GuideBook, ISBN 978-1-7390105-0-8; Available Online
  3. Mai, Khamies, Paull ; Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression using Privileged Information; 2021; ICML Workshop on Uncertainty & Robustness in Deep Learning.
  4. Khamies, Konidaris; Interpretable Reinforcement Learning Using Latent Reward Functions; 2019; NeurIPS Workshop: BAI.
  5. Khamies, Mohammedalamen, Rosman; Transfer learning For Prosthetic Using Imitation Learning; 2018; BAI workshop, NeurIPS Workshop: BAI.

Announcements

1. Join GradCorner AI Publication

If you are interested in learning more about advanced AI and machine learning algorithms, join GradCorner AI publication. GradCorner AI is a space where you can learn about specialized ML techniques and things people in the industry and academia won’t tell you :), so please come and join us

-------->>  Join the Publication From Here!

2. My book "How to Solve Algorithm Problems" is out, get your copy now!

3. The Creative Engine