Dr. Dmitri E. Kvasov, ProfessorUniversity of Calabria, Italy
Speech Title: Global optimization in control theory and machine learning
Abstract: Many problems in the design of systems with parametric uncertainty can be formulated as global optimization problems. Parameters of such systems can be unknown or not uniquely defined, while their functional dependencies can be multiextremal and with no analytical representation (the so-called black-box problems). Due to the high computational cost involved in this decision-making process, the main goal is to develop efficient global optimization algorithms that produce reasonably good and guaranteed solutions with a limited budget of function evaluations. Derivative-free methods can be therefore particularly suitable for addressing these challenging global optimization problems and can be of a deterministic or stochastic (in particular, metaheuristic) nature. Some of the methods of these two groups are briefly surveyed and their application in the fields of control theory and machine learning is discussed.
Keywords: Expensive global optimization, deterministic methods, metaheuristics, comparison, control theory, machine learning.
Biography: Associate Professor in Numerical Analysis, DIMES, University of Calabria, Rende (CS), Italy. Italian National Scientific Habilitation as Full Professor in Numerical Analysis (2018–2027) and in Operations Research (2021–2030). Education: Ph.D. in Operations Research (05/2006), Department of Statistics, University of Rome "La Sapienza", Italy. Candidate (Ph.D.) of Physico-Mathematical Sciences (12/2016), "Lobachevsky" University of Nizhny Novgorod, Russia. Graduated, with honours, in Information Systems (06/2001), Faculty of Computational Mathematics and Cybernetics, "Lobachevsky" University of Nizhny Novgorod, Russia. Graduated, with honours, in Computer Systems Engineering (04/2001), Engineering Faculty, University of Calabria, Italy.
Research interests: Numerical analysis; Continuous global optimization and applications; High-performance and Infinity computing. List of papers includes more than 120 items (among them: 2 research books).