Dr. Carlos Coello is Professor with Distinction (Investigador CINVESTAV 3F) at the Center for Research and Advanced Studies of the Instituto Politécnico Nacional (CINVESTAV-IPN) in Mexico City and Visiting Professor at the Basque Center for Applied Mathematics in Spain. Has taught master's and Ph.D. level courses on evolutionary computation, evolutionary multi-objective optimization, programming languages, and engineering optimization at CINVESTAV-IPN. In addition, he has taught short courses in Spain, England, Argentina, Chile, India, Bolivia, Colombia, Slovenia, and the USA. Also, Professor Coello has presented scientific articles at major conferences specialized in evolutionary computation, like the IEEE Congress on Evolutionary Computation (CEC), the Genetic and Evolutionary Computation Conference (GECCO), Parallel Problem Solving from Nature (PPSN), and others. His work and research fall at the intersection of computer science, applied mathematics, and operations research. His main contributions have revolved around the design of biologically inspired stochastic algorithms to solve highly complex multi-objective optimization problems (mainly non-linear). He has made pioneering contributions to this area which is now known as multi-objective evolutionary optimization. For example, he proposed, along with his research group, the first genetic micro-algorithm for multi-objective optimization, which has been used in real-world applications in various countries like the United States for the design of supersonic business jets. Also, the first algorithm for multi-objective optimization based on an artificial immune system incorporating the concept of Pareto optimality, which has been a reference in specialized literature used to validate new multi-objective algorithms. Dr. Coello has broad experience as an expert consultant in his field. He is a Member of the Foundation Advisory Board of The International AIQT Foundation, which strives to establish a highly competitive (international-level) research center in artificial intelligence and quantum technology. He is also Scientific Advisor of the company Complexica, in Australia, and was Senior Advisor of the Hunan Zixing AI Research Institute from China (2017-2020), to name some examples. His research interests revolve around the areas of evolutionary computation (genetic algorithms and evolution strategies), as well as engineering optimization. In addition, he has worked on over 12 funded research projects, the most recent one called ‘Alternative Selection Schemes for Multi-Objective Evolutionary Algorithms’ funded by CONACYT, in which he was Principal Investigator. Dr. Coello has collaborated as an Associate Editor in multiple international journals like the IEEE Transactions on Evolutionary Computation, Evolutionary Computation (the MIT Press), Journal of Heuristics (Springer), Computational Optimization and Applications (Springer), Pattern Analysis and Applications (Springer), to name a few. He is currently Editor-in-Chief of the IEEE Transactions on Evolutionary Computation journal.
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