Dmytro SytnykSenior Researcher,
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Research Interests
- Mathematics:
- numerical methods for differential equations in Hilbert and Banach spaces; hybrid spectral numerical methods for BVP’s and nonlocal problems; non-parametric forecasting of dynamical systems; control theory; inverse problems; approximation theory; sinc–methods; matrix analysis
- Machine learning:
- kernel methods; diffusion models; nonlinear dimensionality reduction techniques; data-smoothing; time-series forecasting (KAF, Koopman operator approaches); graph learning
- Computer Science:
- software for numerical solution of PDEs; sparse and shifted linear solvers; code optimization; parallel and GPU/TPU programming; cloud computing
Education
2012: PhD in Computational Mathematics at Numerical Mathematics department of Institute of Mathematics, National Academy of Sciences of Ukraine
Advisor: Professor Volodymyr Makarov
Dissertation title: “Exponentially convergent methods for the nonlocal abstract Cauchy problem and nonlinear boundary value problems”2010: MSc. in Mathematics at Wilfrid Laurier Universiry, Canada
Supervisor: Dr. Roderick Melnik
Thesis title: “Mathematical Modeling of Quantum Dots with Generalized Envelope Functions Approximations and Coupled Partial Differential Equations”2003: Bsc. in Mathematics at Kiev National M.P. Dragomanov Pedagogical University, Ukraine Teacher of mathematics and computer science. (specialist degree)
Honors and Awards
- Prize of the President of Ukraine for young researchers, 2017
- M. P. Korneichuk award, Institute of Mathematics, National Academy of Sciences of Ukraine, 2014
- Graduate Gold Medal for the Master’s Level, Wilfrid Laurier Universiry, 2010
- First diploma on National research school work contest of Ministry of Science of Ukraine, “Mala Akademiya nauk” 1998
Employment
2015 – present: Senior researcher at Computational Mathematics department, Institute of Mathematics of Ukrainian National Academy of Sciences
2004 – 2015: Researcher at Computational Mathematics department, Institute of Mathematics of Ukrainian National Academy of Sciences
2006 – 2007, 2013 - 2017: Kyiv National O.O. Bogomolets medical University (part-time) course “Computer Science” (in english)
2003 – 2004: High School Teacher of mathematics, computer science
2001 – 2003: Engineer at Mathematics department Kiev National M.P. Dragomanov Pedagogical University (part-time)
2002 – 2003: Kyiv college of electronics and technology “Elekroprylad” (part-time) course “Design of operating systems”; course “Software development cycle”,
International projects participation
2023 - 2024: DFG project #465242983 within “SPP 2311: Robust coupling of continuum-biomechanical in silico models to establish active biological system models for later use in clinical applications – Co-design of modeling, numerics and usability”, Technical University of Munich, Germany
2022: Visiting fellowship founded by TUM IAS Grant for Ukrainian researchers, Technical University of Munich, Germany
2019: IARPA Project ”Theory of deep networks for modeling hierarchical data processing”, Claremont University, USA
2018 – 2019: Horizon 2020 Project “Approximation Methods for Molecular Modelling and Diagnosis Tools”, RICAM, Austria; Politecnico di Milano, Italy
2018: Visiting fellowship founded by 2017 RSC-Ukraine exchange programme, Wilfrid Laurier University, Canada
2014: Visiting fellowship, Max-Planck-Institute for mathematics in the sciences, Leipzig
2011: Coimbra Group grant for visiting scholars, Friedrich-Schiller-University, Jena, Germany
2007 – 2009: NSERC graduate student research grants, Wilfrid Laurier University, Canada
2006 – 2008: DFG project “Numerisch-analytische Modelle und Methoden zur Untersuchung der Dynamik von Sloshing in LNG-Tanks, Offshore und Moonpools” UKR 113/33/4
Computer skills
Languages
- Proficient in: C, C++, Matlab, Python, Delphi/Pascal
- Familiar with: Fortran, Bash, CWL, Go, q, Assembler (x86, ARM, AVR), Prolog, Java, PHP, TeX
Software and methodologies
- Mathematical: NumPy, Matlab/Octave, Maple/Maxima, Mathematica, R, Julia
- Machine learning: Flax, Pytorch, TensorFlow, TorchScript, MLPACK, FAISS, Equinox, Orbax, Optax
- Numerical packages: JAX, GSL, GMP, MPFR, MPC, BLAS+LAPACK, MPACK, Armadillo, Trilinos, PETSc, SLEPc, FEAST, Deal.II, MFEM, libMesh, FEniCS, JAX-FEM, libigl, GCAL, MUQ, SUNDIALS, Diffrax, XBraid, HPX,
- Parallel interfaces: MPI, OpenMP, OpenACC, Kokkos
Misc
- Modeling: COMSOL, FEAST, Ansys, Creo Parametric, ABINIT, Quantum ESPRESSO, LAMMPS
- Database: Microsoft Access, MySQL, SQLite, MariaDB, kdb+
- Platforms: Microsoft Windows, Linux, Gentoo, Docker, OpenStack, VMware ESXI, Xen
- Other: Jupyter Notebooks, Latex, GIMP, Inkscape, Jira, Office software, Linux programming and administration, HPC Queue management systems, Web technologies
Selected Publications
Monographs
- Functional-Discrete method for the solution of operator equations and its application (in ukrainian), Kyiv, Naukova Dumka, 2011, 175 P. (with V. B. Vasylyk, D. V. Dragunov)
Articles
Abstract Fractional Cauchy Problem: Existence of Propagators and Inhomogeneous Solution Representation, Fractal and Fractional 7, no. 10, 2023: 698, doi:10.3390/fractalfract7100698 (with B. Wohlmuth)
Exponentially Convergent Numerical Method for Abstract Cauchy Problem with Fractional Derivative of Caputo Type, Mathematics 11, no. 10, 2023, doi:10.3390/math11102312 (with B. Wohlmuth)
Mathematical Models with Nonlocal Initial Conditions: An Exemplification from Quantum Mechanics, Mathematical and Computational Applications, vol. 26, no. 4, Art. no. 4, 2021, doi:10.3390/mca26040073 (with R. Melnik)
Sinc approximation of algebraically decaying functions, Journal of Numerical and Applied mathematics, no. 3 (126), 2017 doi:10.48550/arXiv.1809.07369
Exponentially convergent method for abstract Cauchy problem with nonlinear nonlocal condition, Proceedings of A. Razmadze Mathematical Institute, vol. 21, no. 1, Art. no. 1, 2016 doi:10.48550/arXiv.2408.13944 (with V. L. Makarov and V. B. Vasylyk ).
Existence of the solution to a nonlocal-in-time evolutional problem, Nonlinear Analysis: Modelling and Control, vol. 19, no. 3, pp. 432–447, 2014, doi:10.15388/na.2014.3.8 (with V. L. Makarov and V. B. Vasylyk ).
Exponentially Convergent Method for the m-Point Nonlocal Problem for a First Order Differential Equation in Banach Space, Numerical Functional Analysis and Optimization, vol. 31, no. 1, Art. no. 1, 2010, doi:10.1080/01630560903499019 (with I. P. Gavrilyuk; V. L. Makarov; V. B. Vasylyk)
A method with a controllable exponential convergence rate for nonlinear differential operator equations, Comput. Methods Appl. Math., vol. 9, no. 1, Art. no. 1, 2009, doi:10.2478/cmam-2009-0004 (with I. Gavrilyuk, I. Lazurchak, V. Makarov)
Two-sided approximations for nonlinear operator equations, Comput. Methods Appl. Math., vol. 8, no. 4, Art. no. 4, 2008, doi:10.2478/cmam-2008-0028 ( with I. I.Lazurchak, V.L.Makarov)
Full publications list can be found here »