Forty Years of Industry-University Collaboration
Abstract
In this talk, Mauricio G. C. Resende describes his four-decade-long journey bridging academia and industry, from semiconductor fabrication and interior-point methods to the development of GRASP and BRKGA. Drawing on his work at Bell Labs, AT&T Labs Research, and Amazon Research, he contrasts research across these institutions and discusses the academic collaborations, students, and postdoctoral scholars that accompanied his career.
Mauricio G. C. Resende is an Affiliate Professor of Industrial and Systems Engineering at the University of Washington. He was previously a Principal Research Scientist at Amazon and a Lead Scientist at Bell Labs and AT&T Labs Research, and is an INFORMS Fellow.
He is best known for his work on metaheuristics, particularly greedy randomized adaptive search procedures (GRASP) and biased random-key genetic algorithms (BRKGA), as well as interior-point methods for linear programming and network flows. He has published more than 200 papers on optimization, holds 15 U.S. patents, and has edited several major handbooks in optimization. He is co-author of Optimization by GRASP (Springer, 2016).
Andrea Schaerf
Full Professor of Information Technology
Working on Optimization from an AI perspective.