Sergiy Zhuk
Research staff member and Master Inventor
Dublin Research Lab
IBM Research
Ireland
Biography
Teaching interests – mathematical methods of system’s theory – parameter estimation for dynamical systems – multicriterion optimization and operational research – ordinary differential equations – partial differential equations – numerical methods for differential equations – optimal control for differential equations – convex analysis – applied functional analysis Education National Taras Shevchenko University of Kyiv December 2006 Ph.D. in System Analysis and Optimal Decisions Theory Thesis title: Minimax estimates for linear differential-algebraic equations Advisor: Professor Alexander Nakonechny July 2002 M.S. in Social Informatics Thesis title: Coalition decision making under uncertainty June 2000 B.S. in Applied Mathematics Thesis title: Multicriterion coalition decision making with intersection of coalitions under uncertainty Research experience Research staff member Feb 2012 – present IBM Research - Ireland Data assimilation for environmental problems, full waveform inversion and hydraulic diffusivity inversion, parameter estimation for PDEs. Marie Curie Fellow Apr 2011 – Feb 2012 CWI Amsterdam Inverse problems for high-dimensional geophysical and air quality models. Generalized Galerkin projection (DAE reduction) approach for parabolic and hyperbolic PDEs with uncertain parameters. Invited researcher Oct - Dec 2010 INRIA Paris - Rocquencourt center Developed a parameter estimation algorithm for high-dimensional chemistry- transport models. Implemented the algorithm in the data assimilation library Verdandi. A. Bensoussan Fellow Oct 2009 – Oct 2010 INRIA Paris - Rocquencourt center Developed a state estimation approach for 2D incompressible Navier-Stokes equations. Researcher 2008 – Oct 2009 National Taras Shevchenko University of Kyiv Presented a complete solution (in the algorithmic form) to the problem of state estimation for singular DAEs with continuous time and operator coefficients. Junior researcher 2006 – 2008 National Taras Shevchenko University of Kyiv Presented a complete solution (in the algorithmic form) to the problem of the recursive minimax estimation for singular discrete-time DAEs. Teaching experience National Taras Shevchenko University of Kyiv Assistant lecturer 2007-2008 Introductory lectures in multicriteria optimization and game theory description : basics of matrix games and linear multicriteria optimization problems duration : one semester Assistant lecturer 2004-2005 Practical sessions in mathematical modeling description : modeling of plant decease duration : one semester Highlights of qualifications – strong background in convex analysis, – fundumental knowledge of functional analysis, theory of partial differential equations and optimal control theory, – elements of the theory of Differential-Algebraic Equations (DAE), – comprehensive knowledge of the parameter estimation theory, – fundamentals of the decision making theory, – excellent communication skills, – self-motivated team player Teaching interests – mathematical methods of system’s theory – parameter estimation for dynamical systems – multicriterion optimization and operational research – ordinary differential equations – partial differential equations – numerical methods for differential equations – optimal control for differential equations – convex analysis – applied functional analysis Education National Taras Shevchenko University of Kyiv December 2006 Ph.D. in System Analysis and Optimal Decisions Theory Thesis title: Minimax estimates for linear differential-algebraic equations Advisor: Professor Alexander Nakonechny July 2002 M.S. in Social Informatics Thesis title: Coalition decision making under uncertainty June 2000 B.S. in Applied Mathematics Thesis title: Multicriterion coalition decision making with intersection of coalitions under uncertainty Research experience Research staff member Feb 2012 – present IBM Research - Ireland Data assimilation for environmental problems, full waveform inversion and hydraulic diffusivity inversion, parameter estimation for PDEs. Marie Curie Fellow Apr 2011 – Feb 2012 CWI Amsterdam Inverse problems for high-dimensional geophysical and air quality models. Generalized Galerkin projection (DAE reduction) approach for parabolic and hyperbolic PDEs with uncertain parameters. Invited researcher Oct - Dec 2010 INRIA Paris - Rocquencourt center Developed a parameter estimation algorithm for high-dimensional chemistry- transport models. Implemented the algorithm in the data assimilation library Verdandi. A. Bensoussan Fellow Oct 2009 – Oct 2010 INRIA Paris - Rocquencourt center Developed a state estimation approach for 2D incompressible Navier-Stokes equations. Researcher 2008 – Oct 2009 National Taras Shevchenko University of Kyiv Presented a complete solution (in the algorithmic form) to the problem of state estimation for singular DAEs with continuous time and operator coefficients. Junior researcher 2006 – 2008 National Taras Shevchenko University of Kyiv Presented a complete solution (in the algorithmic form) to the problem of the recursive minimax estimation for singular discrete-time DAEs. Teaching experience National Taras Shevchenko University of Kyiv Assistant lecturer 2007-2008 Introductory lectures in multicriteria optimization and game theory description : basics of matrix games and linear multicriteria optimization problems duration : one semester Assistant lecturer 2004-2005 Practical sessions in mathematical modeling description : modeling of plant decease duration : one semester Highlights of qualifications – strong background in convex analysis, – fundumental knowledge of functional analysis, theory of partial differential equations and optimal control theory, – elements of the theory of Differential-Algebraic Equations (DAE), – comprehensive knowledge of the parameter estimation theory, – fundamentals of the decision making theory, – excellent communication skills, – self-motivated team player
Research Interest
Computer Systems Design Interaction Knowledge Knowledge Discovery and Data Mining Learning Operations Research Perception Reasoning Statistics Supercomputing