The Computational Intelligence and Learning Systems (CILS) lab at Acadia University develops cutting-edge adaptive systems in machine learning, deep learning, and neuro-symbolic AI — tackling real-world challenges in healthcare, privacy, and genomics. We are committed to creating robust, fair, and interpretable AI systems that benefit society.
About CILS
Who we are:
CILS is dedicated to advancing research in artificial intelligence, with a focus on developing adaptive systems that enhance decision-making across complex environments. At CILS, we specialize in integrating machine learning, deep learning, and neuro-symbolic approaches to tackle challenges such as early disease detection and privacy-preserving AI.
Our team includes PhD students, Master's researchers, Honours students, and Mitacs interns, all working under the supervision of faculty at Acadia University. We are committed to pushing the boundaries of computational intelligence to meet real-world needs.
Our Research Focus
What we do:
Privacy-Preserving Machine Learning
Building federated learning and differential privacy techniques that protect sensitive data without sacrificing model performance.
Evolutionary Computing
Combining the pattern recognition power of neural networks with structured logical reasoning for more explainable AI.
Neuromorphic Technology for Hardware-Based ML
Applying machine learning to genomic sequence data to uncover biological insights and support precision medicine.
Explainable AI
Developing interpretable neural models for early and accurate disease detection from medical images.
Image Analysis
Developing interpretable neural models for early and accurate disease detection from medical images.