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Vladimir Makarenkov

Affiliate Member
Full Professor, Université du Québec à Montréal

Vladimir Makarenkov is a Full Professor and Director of DESS in Bioinformatics at Université du Québec à Montréal (UQAM). He holds a master’s degree in applied mathematics from Lomonosov Moscow State University and a Ph.D. in computer science and mathematics from the École des hautes études en sciences sociales (EHESS). Before joining the computer science department at UQAM, he completed a three-year postdoctoral fellowship at the Digital Ecology Lab at the University of Montreal. Vladimir Makarenkov has authored 80 journal articles and 67 conference papers. He has also been awarded the prestigious Simon Régnier Prize and Chikio Hayashi Prize by the International Society for Mathematical Classification.

His research focuses on artificial intelligence, bioinformatics, and data mining. This encompasses the design and development of novel unsupervised and supervised machine learning methods, as well as the utilization of machine learning techniques, including clustering and deep learning, for the analysis of biological and biomedical data.

His current research also involves the development of an automated recommendation system based on deep learning to recommend the best clustering algorithm for a given input dataset. Additionally, he is working on creating a generic machine learning model to define the concept of a cluster, and comparing various auto-encoding approaches and clustering algorithms to achieve better clustering results.