About
Ivan Contreras is an Associate Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on operations research, network optimization, and mathematical physics, with applications in transportation, logistics, and facility location. He holds a PhD and has affiliations with both the Sir George Williams and Loyola campuses in Montreal, Canada.
Research interests include hub network design, robust optimization, combinatorial optimization, and the intersection of geometry with quantum field theory. Notable contributions involve developing models for intermodal logistics, stochastic scheduling in healthcare, and algebraic structures in category theory. His work bridges theoretical mathematics (e.g., symplectic geometry, graph Laplacians) with applied optimization challenges in supply chain and healthcare systems.
Publications span optimization frameworks for hub location problems, scheduling under uncertainty, and foundational studies in Frobenius algebras and relational groupoids. His research emphasizes practical solutions for complex systems while advancing theoretical methods in discrete mathematics and geometric analysis.
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