Sergiy Zhuk

Research Interests

• Quantum computing: quantum time evolution, quantum optimization
• Parameter estimation for dynamical systems: nonlinear filtering for chaotic systems, detectability, numerical optimization, large-scale inverse problems  
• Statistical learning: hidden Markov models, Expectation-Maximization algorithms for closed-loop datasets, Bayesian classifiers  
• Applications: diffuse optical tomography, vFFR (blood pressure estimation in coronary artery from angiograms), optical flow estimation, full waveform inversion, traffic state estimation

Research Experience

• Research Scientist: 2012 - now, IBM Research EU - Dublin
• Marie Curie Fellow: 2011-2012, CWI
  Research subject: iterative minimax state estimation algorithm for 2D Navier-Stokes equations
• Alain Bensoussan Fellow: 2009-2010, INRIA Paris-Rocquencourt research center
  Research subject: reduced minimax parameter estimation algorithm for a chemistry-transport model
• Research scientist: 2006-2009, Taras Shevchenko University of Kyiv
  Research subject: generalized Kalman duality principle for ill-posed linear operator equations