Yury Nikulin
 Dosentti, Yliopistonlehtori, Ph.D.

Department of Mathematics and Statistics

yurnik@utu.fi

+358 29 450 4343

+358 50 351 8638

Vesilinnantie 5

Turku

260


https://orcid.org/0000-0001-6409-9423






nonsmooth optimization
multiobjective optimization
mixed-integer nonlinear programmin (MINLP)
global optimization
sensitivity analysis and robust optimization
combinatorial optimization
parameterization and regularization techniques
scheduling, time-tabling, resource allocation, assignment
multiobjective heuristics and evolutionary optimization



MCDM, Finnish OR Society


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).




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










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;




  
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Last updated on 04/03/2026 10:00:37 AM