Contact
Faculty of Science - Computing Science
- khamies@ualberta.ca
Overview
Area of Study / Keywords
Machine Learning Healthcare Operations Research
About
I am an Applied Research Scientist at NTWIST and a Graduate Student at the University of Alberta, exploring the intersection of AI and healthcare.
Currently, I work as an Applied Scientist at NTWIST, where I help enterprises leverage machine learning to automate business processes in the manufacturing industry, focusing on both process manufacturing and discrete manufacturing. My work primarily involves utilizing self-supervised learning and reinforcement learning (RL).
Concurrently, I am on the PhD track at University of Alberta, exploring the intersection of AI and healthcare. I am particularly interested in exploring the informational capacity of neural biomarkers in individuals with mental health conditions and assessing the feasibility of developing secure AI models to support their care.
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. Previously, I contributed to deep learning research at MILA and interned at Brown University’s Robotics Lab.
Research
At the University of Alberta, I explore the intersection of artificial intelligence and healthcare, with a focus on developing secure and efficient AI systems. In parallel, I work as an Applied Research Scientist at NTWIST, where I help enterprises leverage machine learning to automate business processes in the manufacturing industry, spanning both process and discrete manufacturing. My work primarily involves reinforcement learning, self-supervised learning, semi-supervised learning and constraint optimization to build intelligent scheduling systems and enable real-world decision-making at scale.
Teaching
Teaching Assistant Roles
- CMPUT 274 - Introduction to Tangible Computing I (Fall 2024).
- CMPUT 275 - Introduction to Tangible Computing II (Winter 2025).
Announcements
1. Join the GradCorner AI Publication
GradCorner AI is an educational publication focused on advanced topics in artificial intelligence and machine learning. We cover specialized techniques and practical insights that often go beyond what’s taught in standard courses or shared in industry.👉 Join the publication here and explore deeper layers of ML and AI.
2. How to Solve Algorithm Problems — Now Available
A practical guide to algorithmic thinking, designed for students, engineers, and competitive programmers.
Available at:
3. The Creative Engine — Coming Soon
A forthcoming book on generative modeling and the art behind machine creativity.
Featured Publications
Vincent Mai, Waleed Khamies, Liam Paull
Uncertainty in Deep Learning (UDL) workshop at ICML. 2021 January; 10.48550/ARXIV.2107.04497
Waleed Khamies, George Konidaris
BAI Workshop at NeurIPS 2019. 2019 January; 10.13140/RG.2.2.21817.80487
Waleed D. Khamies, Montaser Mohammedalamen, Benjamin Rosman
BAI Workshop at NeurIPS 2018. 2018 January; 10.48550/ARXIV.1901.04772
View additional publications