Research Groups

Lifelong Machine Learning and Reasoning

The Machine Learning Research Group (MLRG) undertakes research into novel machine learning and data mining algorithms and approaches, and the application of these approaches to synthetic and real-world problems.   The lab’s researchers and students specialize in developing machine learning algorithms and methods particularly those in the area of Lifelong Machine Learning, Transfer Learning, Knowledge Consolidation, and Learning to Reason.  The group has particular expertise in artificial neural networks and deep learning used for supervised, unsupervised and time series problems.  We also apply standard machine learning methods as well as more advanced LMLR approaches to problems in the areas of data mining, adaptive systems, intelligent agents and robotics. For more information please see the Software, Data and Publication pages.

CILS Computational Intelligence and Learning Systems

CILS research group is dedicated to advancing cutting-edge 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 including early disease detection and privacy-preserving AI. Our team is committed to creating equitable, robust, and interpretable AI systems, pushing the boundaries of computational intelligence to meet real-world needs and benefit society.