Mounir Boukadoum received a Ph.D. degree in electrical engineering from the University of Houston, Houston, TX, USA. He is currently a Professor of microelectronics engineering at the University of Quebec at Montreal, Montreal, QC, Canada. He studied physics in Algeria before switching to electrical engineering in the United States, with an emphasis on medical applications. His research interests focus mainly on the application of artificial intelligence to analyse design problems, particularly in biomedical
outcomes. He is the Director of the Quebec Strategic Alliance for Microsystems research consortium, and a member of the Center for Interdisciplinary Research on the Operationalization of Sustainable Development, all based in Montreal. He
is an active member of IEEE, with involvement in three international conference steering committees and the Neural Systems and Applications Technical Committee. He cofounded the international NEWCAS conference, now an IEEE CAS
interregional flagship conference, and was Co-General Chair of the 2012, 2018, and 2020 editions. In 2020, he was also Local Arrangements Chair of EMBC in Montreal and Co-Finance Chair of ICECS in Glasgow.
Abdoulaye Banire Diallo is a Professor (full professor at the age of 26) and Director of the Bioinformatics Lab at Université du Québec à Montréal (UQAM). He is also a co-founder and Chief Scientist of His Intelligent Machines (MIMs). MIMs is among the top 10 startups to watch in Montreal, according to Betakit. In Africa, he co-leads Access Omic Senegal with the Institute of Recherche en Santé, Surveillance Épidémiologique et de Formation (IRESSEF) of Senegal. This initiative is building the foundation of precision in health in Senegal. Currently, Abdoulaye’s research is at the intersection between bioinformatics, artificial intelligence and genomics. He is developing technologies that empower life scientists in the health and agrigenomics
sectors to address important questions by providing algorithms and machine learning methods to detect, study and monitor pathogens in epidemiological surveillance, to include genomic precision in livestock production models, and to model and
monitor biodiversity in agriculture and forestry. He also provides Artificial Intelligence-powered technologies to help deliver to life science communities easy-to-use and integrated genomic-informed solutions.
