Hichem Ben-El-Mechaiekh

Hichem Ben-El-Mechaiekh is a Professor of Mathematics at Brock University, where he has served since 1988. He previously held a visiting assistant professorship at the Technical University of Nova Scotia (now part of Dalhousie University) and visiting scholar positions at institutions including the Université Paris I, Panthéon-La Sorbonne, the American University of Sharjah, and the Canadian University Dubai. He earned his B.Sc., M.Sc., and Ph.D. in Mathematics from the Université de Montréal. His research focuses on Nonlinear Functional Analysis and its applications to mathematical economics, game theory, optimization, fixed point theory, and differential equations. He has held leadership roles, including Head of the Department for 8 years and Associate Dean for 6 years. He is an associate editor for journals in nonlinear functional analysis and co-founded the UAE Mathematics Day in 2003. He actively drives interdisciplinary initiatives, such as the proposed Big Data Science program at Brock University.

Ben-El-Mechaiekh’s research interests span analytical and topological methods in game theory, nonsmooth optimization, set-valued analysis, and variational methods in differential equations. His work bridges pure mathematics with applied fields, emphasizing computational technologies in education. He has published extensively, with contributions to leading journals and edited volumes. His editorial roles include the Journal of Fixed Point Theory and Applications and Arabian Journal of Mathematics. He has taught a wide range of courses, from calculus to graduate-level functional analysis and topology.

His research highlights include foundational contributions to fixed point theory, equilibrium problems in non-convex domains, and historical analyses of mathematical finance pioneers like Louis Bachelier. He collaborates internationally, integrating mathematical rigor with real-world applications. His academic service includes organizing conferences and mentoring students in mathematical economics and optimization.