Staff

Yevhen Romaniak Position: PhD student E-mail: romanyak.yevhen@gmail.com References: GitHub Scientific degrees: 2014 – 2020 National Technical University of Ukraine “Kyiv Politechnic Institute”, Master’s Degree, Applied Math. Scientific interests: Machine Learning and Computer Vision (image recognition and processing, object detection and tracking). Employment record: Samsung R&D Institute Ukraine, since 2018, Engineer Programmer.

Marina Grigorenko Position: Chief Engineer

Ivan Mykhalevych Position: Engineer-programmer

Evgeniy Vodolazskiy Ph.D. Position: Senior Research Fellow References:Google ScholarGitHubORCID Scientific degrees: Ph.D. 2021 – Effective methods for calculating similarity of images in the Fréchet metric Selected publications: E. Vodolazskiy. Second order conservative languages with a Maltsev polymorphism also have a majority polymorphism. M. I. Schlesinger, E. V. Vodolazskiy and V. M. Yakovenko. Fréchet Similarity of Closed Polygonal Curves. E. Vodolazskiy. Discrete Fréchet distance for closed curves.

Volodymyr Kyyko Dr., Senior Research Fellow Position: Leading scientific associate E-mail: vkiiko@gmail.com References:Google Scholar Scientific degrees: 1984 Cand. of Sciences of Technical Cybernetics and Information Theory. Thesis “Preprocessing and recognition of line drawings for solving the practical tasks of theirautomatized processing”; 2006 Senior Researcher, 05.13.06 – “Automated Control Systems and Advanced Information Technologies”. Notable Contributions: 2020 V.Kyyko,V.Matsello “Tracking objects in video surveillance. Control Systems and Computers”, № 2, pp. 23-29. 2020V.Kyyko “Matching based multistyle license plate recognition. Cybernetics and Computer Engineering”, 2020, 1(199), pp. 5-18. V.Kyyko,V.Matsello. “Real-time tracking of objects in video based on adaptive histogram features. Cybernetics and Computer Engineering”. 2023, 3(213), pp. 4-18; V.Kyyko,V.Matsello “Correction of license plates recognition data by templates matching”, Proc.оf the IEEE 19-th International Conference on Computer Science and Information Technologies (CSIT-2024); Co-inventor of patents sold to Viewdle and then acquired by Google: Method of person computer identification by facial image. Patent of Ukraine № 81514, 2008; System and method for identifying objects in video. US patent № 8,064,641, 2011; Method and system of person identification by facial image. US patent № 8,184,914, 2012; 3D image estimation for 2D image recognition. US patent № 8,971,591, 2015. Educational Activity: Teaching Master’s programs in Kyiv Polytechnic Institute and IITC. Participation in int. projects: 1992-1995 Company WACOM, Japan, «Algorithms and software for processing and recognitin of graphical images»; 1997, 1999 GFaI (Gesellschaft zur Forderung angewandter Informatik e.V.), Berlin, «Development the software for processing and recognition forms and documents», «Development the software for processing shoeprints and special forms».

Dmitry Ryabokon Ph.D. Position: Senior Research Fellow E-mail: d.ryabokon@gmail.com References:Google ScholarORCIDScopusGithub     Scientific degrees: 2005 — PhD “Systems and Tools of Artificial Intelligence”. Scientific interests: Digital Identity, License Plate Recognition (LPR), Online loans, Texture Segmentation, Stereo Vision and other projects backboned by Machine Learning and Computer Vision. Notable Contributions: The construction of 3D model of back-surface of a human eye by a stereopair. Upravlyayushchie Sistemy i Mashiny, 2005; The spatial reconstruction of earth surface by stereoimages IFAC Proceedings Volumes 37 (6), 943-948 (Google Scholar); AI applications for automotive. Контроль i управлiння в складних системах (КУСС-2020)», м. Вiнниця, 8-10 жовтня 2020 р. Educational Activity: 2013 – present. Associate Professor, Department of Mathematical Informatics, Faculty of Computer Science and Cybernetics, Taras Shevchenko National University; 2002 – 2012: Snr Lecturer, Associate Professor at National Technical University of Ukraine; Projects: 2022 — 3D Pose Estimation (GitHub); 2021 — Computer Vision for Real-Time Analysis of Sports Events. (GitHub)

Viacheslav Matsello Doctor,  Senior Research Fellow  Position: Head of the Department E-mail: matsello@gmail.com References:Google Scholar  Scientific degrees: 1971 — 1977 Kiev Polytechnic Institute, speciality Automated Control Systems; 1984 — 1986 Post — graduate study, V.Glushkov Institute of Cybernetics, Ukrainian Academy of Sciences, Pattern Recognition department; 1987 Ph.D. Diploma (Candidate of sciences (eng.)); 2005 Senior Researcher, 05.13.06 – “Automated Control Systems and Advanced Information Technologies”. Scientific interests: Structural methods in image recognition, drawings processing, documents image analysis. ts; Ukrainian National State Award (with the team of co-authors) for theoretical and applied researches in artificial intelligence and image recognition. Employment record: 1977-1989 Engineer programmer, V.Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine. Modeling of algorithms and development of the software for image processing and recognition; 1990-1993 Scientific researcher, senior member, V.Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine. Modeling of algorithms for pattern recognition, image processing, drawings and document image analysis; 1994-1996 Head of Image Recognition Department, V.Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine. Development of algorithms and systems for image processing and understanding; 1997-2024 Head of Image Recognition Department, International Research and Training Center for Information Technologies and Systems, National Academy of Sciences and Ukrainian Ministry of Education and Science; 2025 Head of Image Recognition Department, Institute of Information Technologies and Systems of the National Academy of Sciences of Ukraine. International cooperation: 1995-1996 Contract with the company WACOM Co.Ltd.(Tokyo, Japan), for the development of algorithms and the software for processing and recognition of drawings; 1998-2000 Contracts with the Association of Applied Informatics (GFaI, Berlin, Germany) and the company WIDIS Co.Ltd.(Berlin, Germany) for the development of image recognition algorithms and software; 2007-2009 Contracts with the company IT&T Engineering (Paris, France) for the development of software for reconstruction of 3D models of city blocks; 2006-2012 Member of Scientific Advisory Board, VIEWDLE INC., (Wilmington, Delaware, USA).

Michail I. Schlesinger​ Doctor of Science, Professor Position: Chief Researcher E-mail: schles@irtc.org.ua References:Google Scholar Scientific degrees: 1962 Dipl. Ing. of Automation and Remote Control, Thesis „Unsupervised Tuning of Control Systems “; 1968 Cand. of Science of Theoretical Cybernetics, Thesis „Theory and Algorithms of Unsupervised Pattern Recognition“; 1991 Dr. of Science of Applied Mathematics. Thesis „Theory of 2D-Grammars Applied to Picture Recognition“; 1993 Academic Degree Professor of Applied Mathematics; State Awards of Ukraine: 1988 State Prize of Ukraine for outstanding achievements in science and technology; 1997 State Prize of Ukraine for outstanding achievements in science and technology; 2009 Diploma Ukrainian Parliament for significant merits to Ukrainian people. Notable Contributions: 1968 Proposed an unsupervised learning algorithm that soon became known as the EM-algorithm in the peer-reviewed article „The interaction of learning and self-organization in pattern recognition”; One of the first to propose applying LP relaxation to MRF optimization. The claim was supported by reputable authors in scientific works, including „A Linear Programming Approach to Max-sum Problem: A Review” and „An Analysis of Convex Relaxations for MAP Estimation”; 2002 Textbook „Ten Lectures on Statistical and Structural Pattern Recognition,” Michail I. Schlesinger, Václav Hlaváč, originally in Czech („Deset přednášek z teorie statistického a strukturálního rozpoznávání”, 1999), also translated to Russian („Десять лекций по статистическому и структурному распознаванию”, 2004); Co-inventor of patents sold to Viewdle and then acquired by Google: System and method for object clustering and identification in video; System and method for identifying objects in video; Method and system of person identification by facial image; Object recognition and database population for video indexing. Educational Activity: A series of lectures, „Statistical and Structural Pattern Recognition.“ Previous: Igor Sikorsky Kyiv National Technical University; Taras Shevchenko Kyiv State University; Current: Institute of information technologies and systems of the National academy of sciencesof Ukraine; Short time guest-professorship in: Czech Technical University, Prague, Czech Republic; Dresden Technical University, Germany; Masarik University, Brno, Czech Republic; University of Surrey, Guildford, England.