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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