Yury
Nikulin
Links
Areas of expertise
multiobjective optimization
mixed-integer nonlinear programmin (MINLP)
global optimization
sensitivity analysis and robust optimization
combinatorial optimization
parameterization and regularization techniques
scheduling
multiobjective heuristics and evolutionary optimization
Biography
I graduated with honors from Belarusian State University, Minsk (Belarus). In 2003, I received my doctoral degree from Otto-von-Guericke University of Magdeburg (Germany).
Following my PhD, I held several postdoctoral research positions at leading European institutions, including the University of Warsaw (Poland), Kiel University (Germany), the University of Southern Denmark in Odense (Denmark), and Imperial College London (United Kingdom).
I am currently a University Lecturer and Docent in Applied Mathematics and Optimization at the Department of Mathematics and Statistics, University of Turku (Finland).
Teaching
since 2009 Lecturing at the University of Turku
o Multiobjective Optimization and Sensitivity Analysis Spring’09 28 lectures+14 demos, 56+28 hours;
o Game Theory Autumn’09, Spring’16, Spring'18, Spring'20 14 lectures+7 demos, 28+14 hours;
o Robust Optimization Autumn’09, Autumn’14 14 lectures+7 demos, 28+14 hours;, 28+12 hours;
o Heuristics Spring’10, Spring’12, Autumn’16 14 lectures+ project work, 28+56 hours;
o Combinatorial Optimization Algorithms Autumn’10, Autumn’12 14 lectures+6 demos, 28+12 hours;
o Scheduling Theory Spring’11,Autumn'17 28 lectures+13 demos, 56+26 hours;
o Vector Optimization Autumn’11, Spring’16 14 lectures+6 demos, 28+12 hours;
o Game Theory 1. Game Theory 2 Spring’12 28 lectures+14 demos, 56+26 hours;
o Simulation Autumn’12, ’15, Spring'19 14 lectures+6 demos, 28+12 hours;
o Operations Research Autumn'13 14 lectures+6 demos, 28+12 hours;
o Decision Making Spring'14 14 lectures+7 demos, 28+14 hours;
o Calculus of Variations Spring'15, Autumn'18 14 lectures+7 demos, 28+14 hours;
o Control Theory Spring'15; Autumn'18 14 lectures+7 demos, 28+14 hours;
o Partial Differential Equations Spring’17, Autumn’19 28 lectures+13 demos, 56+26 hours;
Research
Sensitivity analysis and Stability theory Multicriteria optimization and and scheduling Theory of Robustness Interactive decision making and methodology Heuristics, metaheuristics and evolutionary optimization Applied graph theory and game theory Transportation, Assignment and Scheduling problems