Dmitry Tunitsky
Director Machine Learning/AI
Education
Doctor of mathematical and physical sciences
Specialization: differential equations
PhD degree
Specialization: differential equations and mathematical physics
Moscow State University 1984–1988
Master’s degree
Department of Computational Mathematics and Cybernetics
Miscellaneous
Mathematics:
ordinary and partial differential equations, algebra, geometry, topology, calculus, functional analysis, measure theory, probability theory, stochastic processes, mathematical statistics, computational methods, approximations, optimization, calculus of variations, control theory.
Computer Sciences:
machine learning, statistical learning theory, image processing
and recognition, data structures, algorithms theory, computer algebra, graph theory, Boolean and many-valued logic, encoding theory.
Programming:
C/C++, Pascal, Java, R, PC Assembler, HTML, VBScript, JavaScript, ASP, Basic, Reduce, Maple, Mathematica, MatLab, Databases (Access, MS SQL Server, Oracle), Maven, Hudson, Subversion, Perforce, SourceSafe.
Mechanics and Physics:
gas dynamics, hydrodynamics, acoustics, optics, electricity theory, elasticity theory, geophysics, meteorology.
Engineering:
color printers profiles, synthesis of optical elements, laser beams shaping, processing of roentgenology images, filtration and marking of cardiograms, recognition and classification of information events.
Publication List:
color printers profiles, synthesis of optical elements, laser beams shaping, processing of roentgenology images, filtration and marking of cardiograms, recognition and classification of information events.
Experiences
Principal Technology Consultant – Cloud Daddy, Inc.
2018 – Present
Backup and security of Amazon Web Services environment.
Methods: Machine Learning
https://www.clouddaddy.com
Leading Researcher – IPU
Institute of Control Sciences of Russian Academy of Science
Principal Technology Consultant
2012 – 2015
Automatic knowledge base of business
Mathematical modelling of business processes
Laboratory of institutional project engineering.
Technology Consultant – Ensure AGFA Graphics
2013
Secret Printing: encrypting data in graphical images
Methods: projective geometry
Project Manager – ADUP AGFA Healthcare
2008 – 2011
Automation of the Orbis database updates.
Senior Researcher – ISLC
1995 – 2002
Project manager – RAO UES
2005 – 2006
Optimization and control of hydroelectric generators.
Researcher and developer – AGFA Graphics
2000 – 2003
Medusa – color management.
Design and implementation of an effective algorithm for generation of profiles for color printers.
Methods: piece-wise linear differential topology, graph theory, optimization.
Project manager. – PWI, Inc.
Research and development of algorithms in recognition and visualization of undesirable intrusions to informational systems.
Design and implementation of effective algorithms for detection of intrusions
and anomalies.
Methods: machine learning.
An original effective algorithm was designed and developed.
Researcher and developer – Agfa Healthcare
Musica – processing and recognition of roentgenologic images.
Design and implementation of a stable algorithm for differential digital filtration of roentgenologic images.
Methods: finite difference approximation of differential operators.
Researcher and developer – Moscow State University
Computer synthesis of plane optical elements.
Design and implementation in C++ of original stable algorithm for precise approximation of phase function for optic element with given properties.
Methods: multivalued method of complex characteristics.
Researcher and developer – Enterprise ATES Medica Soft
Recognition and marking of electrocardiograms..
Design and implementation of original algorithms for online pulse detection and marking of electrocardiograms.
Methods: finite difference approximation of derivatives and stochastic filtration.
Researcher and developer
Research and development of algorithms in automatic solution of non-linear partial differential equations.
Research and development of algorithms in analysis of time series.
Parallelization of computational algorithms in weather forecast.
Modelling and computation of non-linear phenomenon in propagation of electric signals in chip interconnections.
Statistical processing of sociology data.
Seismic exploration of natural resources.