Research Axe Profile

Research Axe:

  • Science, Technology and Innovation

Academic Department:

Mathematics

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Dr. Madjid Allili

Dr. Madjid Allili

Full Professor

Education: PhD Mathematics at Université de Sherbrooke MSc Mathematics at Université de Sherbrooke; Bachelor Mathematics at University of Science and Technology in Algiers (Algeria)

madjid.allili@ubishops.ca

Keywords: Computational topology, imaging science, Morse theory, Conley index theory

Research Project(s):

Currently, my research interests are twofold: I am deeply involved in the field of computational topology, while also collaborating on projects in machine learning and deep learning. In addition to my primary research, I supervise students across these domains and in the broader area of data analysis.