Eric Chalmers

Eric Chalmers is an Assistant Professor in the Department of Mathematics & Computing at Mount Royal University. He holds a BSc in Electrical Engineering and a PhD in Biomedical Engineering from the University of Alberta. His research focuses on understanding principles of intelligence and learning, applying insights from neuroscience to improve artificial intelligence and analytics. He has been recognized with the George Walker award for his doctoral thesis.

Education:

• BSc in Electrical Engineering, University of Alberta
• PhD in Biomedical Engineering, University of Alberta

Research Interests: Machine Learning, Artificial Intelligence, Biomedical Engineering, Neuroscience, and Healthcare Analytics. His work bridges biological insights with computational models, particularly in reinforcement learning, neurovascular dynamics, and mental health modeling.

Articles Trends: Recent publications explore neurovascular coupling in health, hippocampus-inspired algorithms, depression-like behavior simulations in AI, and theoretical foundations of intelligence. His work emphasizes biologically inspired methods in AI development.

Awards:

• George Walker Award for Best Doctoral Thesis

Grants & Collaborations: His PhD research was supported by Alberta Innovates and the Women and Children’s Health Research Institute. He has collaborated across industries including healthcare, agriculture, and sports analytics.

Labs & Teams: Active in interdisciplinary projects at Mount Royal University, though no specific lab is explicitly mentioned in the provided texts.