Yevgeniy Bodyanskiy

Fast learning algorithm for GMDH-SVM deep neural network in Data Stream Mining tasks

Professor of Artificial Intelligence Department and Head of the Control Systems Research Laboratory at Kharkiv National University of Radio Electronics. In 1971 he graduated with honour from Kharkiv National University of Radio Electronics. In 1980 he defended the Ph.D. thesis. In 1984 he received an academic title of Senior Researcher. In 1990 he defended the Doctor Thesis (Dr. habil. sc. ing.). In 1994 he received an academic title of Professor. Since 1974 he has been working at Kharkiv National University of Radio Electronics. He has more than 670 scientific publications, including 40 inventions and 13 monographs. Senior Member of IEEE.
Research interests include hybrid systems of computational intelligence: adaptive, neuro-, wavelet-, neo-fuzzy-, real-time systems, including problems connected with control, identification, forecasting, clustering, diagnostics, fault detection in technical, economical, medical and ecological objects.

Viktor Krylov

Image segmentation in the wavelet domain

Prof. of applied mathematic and IT department (Odessa national polytechnic university). Graduated from Odessa Polytechnic Institute in 1978, PhD (1986), Dc. Sc (2002), Prof. (2005). IEEE Member. He has more than 330 scientific publications.
Research interests include image processing and pattern recognition, wavelet analysis, systems of computational intelligence, including problems connected with control, identification, forecasting, clustering, diagnostics, fault detection in technical, medical and ecological objects.

Leonid Lyubchyk

Real-time Ranking Learning from Data Stream

Head of Computer Mathematics and Mathematical Modeling Department, National Technical University "Kharkiv Polytechnic Institute". Graduated from Kharkiv Polytechnic Institute in 1973, PhD (1979), Dc. Sc (1995), Prof. (2001). Ukrainian State Prize Winner in Science and Technology, 1997. IEEE Member, New York Academy of Sciences Member. Leading Research Scientist and Information & Control Systems Expert of State Scientific and Technical Center of Nuclear and Radiation Safety of Ukraine, 2000-2008. Visiting professor in Safety Control Engineering Group, Wuppertal University, Germany, 2001, Automatic Control Department, Center of Investigation and Advanced Education (CINVESTAV), Mexico, 2011.
Research interests are control theory, robust control, system modeling and simulation, computational intelligence and statistical machine learning.

Volodymyr Mashtalir

Sequential temporal video segmentation via spatial image partitions

Prof. of informatics department (Kharkiv National University of Radio Electronics). M.S. thesis: ‘Parallel image processing under projective transformations’ (1979), Ph.D. thesis: ‘3-D objects recognition on the base of its image normalization’ (1984), D.Sc. thesis: ‘Point-to-set methods of image processing and recognition’ (2002).
Research interest: image processing and recognition, models and methods of granulation on the base of clustering and multialgebraic systems, metrical analysis of quotient sets.

Oleksandr Mikhalyov

Synthesis of criteria for the chaotic system identification

Dr. Sc., Professor. Laureate of State prize of Ukraine in science and technology (2014).Head of information technologies and systems department National metallurgical academy of Ukraine (NMetAU, Dnipropetrovsk). Was awarded with signs "Excellence in Education of Ukraine" (1999) and “For Scientific Achievements” (2012 ) of Ministry education and science of Ukraine
Scientific interests in field of the theory of adaptive identification and neuro-fuzzy control of nonlinear dynamical systems, network technologies; mathematical simulation of technological processes and data mining, the fractal material science and applied synergy.

Eduard Petlenkov

Artificial Intelligence Methods for Data based Modelling and Analysis of Complex Processes: Real Life Examples from Industry to Human.

Associate Professor in the Faculty of Information Technology at Tallinn University of Technology, Head of the Estonian National Doctoral School in Information and Communication Technology, Head of Computer Systems Study Programme, Head of Control Systems Research Laboratory.
He received his B.Sc, M.Sc and PhD degrees in computer and systems engineering from Tallinn University of Technology. His main research interests lie in the domain of nonlinear control, system analysis, computational intelligence, industrial software, virtual and augmented reality.

Volodymyr Stepashko

Self-Organizing Intelligent Modeling from Data Stream

Head of department “Information Technologies of Inductive Modeling” at the International Research and Training Centre for Information Technologies and Systems of NAS and MES of Ukraine, Kyiv. Graduated from Lviv State University, Ukraine, M. Sc in radiophysics (1970), Cand. Sc (PhD) in technical cybernetics (1976), Dr. Sc in system analysis (1994), Professor in AI systems and tools (2011). Fields of interest: inductive modeling, data analysis, computational intelligence, information technologies, machine learning, data/knowledge mining, decision making support, predictive control. Fields of application: technologies of modeling, evaluation, forecasting and decision support for economical, ecological, biological and technical processes and systems.

Kristina Vassiljeva

Artificial Intelligence Methods for Data based Modelling and Analysis of Complex Processes: Real Life Examples from Industry to Human.

Associate Professor in the Faculty of Information Technology at Tallinn University of Technology, Alpha Control Laboratory and Re:creation Visual and Augmented Reality Laboratory. She received her B.Sc, M.Sc and PhD degrees in computer and systems engineering from Tallinn University of Technology. Her research interests include systems of computational intelligence, industrial software, virtual and augmented reality.

Anatoliy Sachenko

IEEE Ukraine Section IM/CI Societies Joint Chapter activities within IEEE Vision & Mission

Anatoliy Sachenko was graduated in Electrical Engineering from L'viv Polytechnic Institute, Ukraine, 1968, and got his PhD in Electrical Engineering from L'viv Physics and Mechanics Institute, 1978, and Doctor of Technical Sciences in Electrical and Computer Engineering from Leningrad Electrotechnical Institute, Russia, 1988. He is a Full Professor in Computer Engineering (1991) and Head of Department for Information Computer Systems and Principal Investigator of Research Institute for Intelligent Computer Systems, Ternopil National Economic University, and part-time Professor, Silesian University of Technology, Poland, and Affiliate Professor, University of New Hampshire, USA. He has been a Fulbright Professor at University of Maine, USA(2002-2003 academic year) and University of New Hampshire, USA(summer semester of 2010-2011 academic year), he had threemonths work placement in Northern Telecom, Toronto, Canada in 1993. He has been a Dean of the Faculty for Computer Information Technologies, TNEU for 11 years since 1994 and a Dean of American-Ukrainian School for Computer Science in 2005-2009.Areas of Research Interest: Computation Intelligence for Homeland Security and Safety, Data Mining, Internet of Things, Wireless Sensor Networks, Image Processing and Pattern Recognition, High Performance Computing and Grids, Education in Computer Science and Engineering, IT Project Management

Margaret Ostapchuk

Teсhnical Evangelist, Microsoft Ukraine Margaret's job is in the department of strategic researches of Microsoft Ukraine. Primary specializations are Windows development and Microsoft Azure development.

Big Data in Cloud

Deliver instant and useful insight to gain a competitive advantage for your organization is becoming increasingly difficult due to the increased variety and velocity of data. The panel will allow you to understand the services that help a developer to store, analyze, predict and visualize large data. We'll consider an example for social networks data processing.

Michael Dopira

Founder of Data Tracer company that is specialized in machine learning and deep data analysis for business clients. Core specialization - e-commerce, email marketing, retail, online services. Ex-consultant of Bain and Company. Master of econometrics of University of Houston.

Challenges of execution and implementation of machine learning projects for SMEs

Machine learning projects are very different from both IT and consulting projects, but have features of both. We will discuss the major challenges of such projects including management of client expectations, helping the client understand the project results and how they can be used, implementation of the model, dealing with data irregularities, etc.

Valentyn Kropov

Senior Solutions Architect, SoftServe. Valentyn has 14+ of experience in data storing and processing technologies and is one of the lead Big Data Architects in SoftServe where he is responsible for Big Data, BI, DWH and RDBMS practice working closely on joint projects with companies like Cloudera, Cisco, Deloitte, Amazon across US and EMEA region.

Essential Data Engineering for Data Scientist

Organizing and getting value out of data – is one of the key drivers of IT industry development and it passes couple of momentous milestones which changed the way we interact with data: from invention of relational databases to massive parallel processing. Huge jump in storing and processing technologies brought an incredible ability to store and process massive amount of data, with a speed, velocity and variety like never before. But it also brings great responsibility and a shift in a mindset required in order to be using these capabilities effectively.
This panel is dedicated to Big Data Engineering: how to decide which technologies and tools to use, what is the difference between relational and non-relational data modeling and many other essential topics.

Tetiana Gladkykh

PhD, Senior Data Scientist, SoftServe. Scientific Interests: data mining, artificial intelligence (genetic algorithms, neural network, and fuzzy logic), mathematical statistic, computer vision, graph theory, game theory and computational mathematics.

Taras Hnot

Data Analyst, SoftServe. Scientific Interests: statistical learning, predictive analytics, time-series analysis, artificial intelligence and recommender systems.

Volodymyr Solskyy

Data Scientist at SoftServe. Scientific Interests: distributed systems, network analysis, information theory and knowledge extraction.

Unsupervised Anomaly Detection for Information Security

In today’s data driven world, Information Security attracts special attention when it comes to pattern changes detection. The continuous development and complexity of information processing automation presuppose the decisive role of security in information technology.
This panel will discuss practical scientific, software engineering and system design challenges in solving real world business problems, using scalable machine learning and data mining techniques. Towards this, SoftServe will present a case-study of designing and developing a large-scale system that identifies unusual user network behavior, based on the analysis of network activity logs. Our system is able to reveal indicative behavior patterns and draw conclusions about behavior that differs from what’s considered conventional. The solution is though self-adaptive, minimizing human involvement in configuring the system.

Yaroslav Prytula

PhD, professor of Department of mathematical and Functional Analysis, Lviv National University. One of the most known in Lviv evangelists of science and particularly of Lviv Mathematical School

Stefan Banach and Lviv Mathematical School

The panel is focused on history of Lviv Mathematical School. There will be presented key figures of impact of establishing Lviv Mathematical School. Such persons like Stanislaw Lem and John von Neumann are among them. Influence of these scientists to global science was considerable and became widespread outside of Western Ukraine. The issue of the panel report is to highlight the role of significant persons who made their great contribution into development of modern science and data science particularly.

Alexander Sokolov

Senior Software Engineer, EPAM Systems. Alexander has 6 + years experience in data storage and data analytics

How Data Science and Big Data are changing the World

In a recent decade Big Data and Data Science became popular buzzwords in the media, business and academia. Modern high performance computing, distributed computing and academia research accelerate these technologies and things that seemed impossible few years ago become reality. Computer vision systems, self-driving cars, Natural Language Processing, Speech recognition are changing our daily life.

Yaroslav Prytula

PhD, Head of Computer Science program at Ukrainian Catholic University

Vladislav Alekseyev

PhD, Associate Professor of Department of Applied Mathematics at Lviv Polytechnic National University

Zenoviy Veres

PhD, Assistant Professor of Department of Computer systems of Automation at Lviv Polytechnic National University, and Solution Architect at SoftServe

Yuriy Guts

Data Science Team Lead at Ciklum

Viktor Sarapin

CEO at V.I.Tech

Data Science education in Ukraine: opportunities and market demand

The purpose of the panel is to discuss major challenges and opportunities of Data Science education in Ukraine, to clarify the ability of universities to offer competitive educational programs in the area and to discuss current and future demand for data scientists from the industry. The panelists will present the education lifetime of a data scientist including Data Science related bachelor programs at Lviv Polytechnic National University (IoT program presented by Zenoviy Veres and Applied Math program presented by Vladislav Alekseyev), the Master of Science program in Data Science at the Ukrainian Catholic University (CS program presented by Yaroslav Prytula) and the industry perspective of Data Science education (presented by Yuriy Guts, Data Science Team Lead at Ciklum and Viktor Sarapin, CEO at V.I.Tech).

Tymur Biktashev

Software Engineer.

Dmytro Yerusalimtsev

Software Engineer.

Sergiy Podnos

Senior Manager.

Igor Manzhos

Manager.

Irina Kartyshova

Test Engineer.

Internal GlobalLogic Data Processing Solutions

GlobalLogic has to to demonstrate two solutions: the first - extended functions of low cost sensors with data visualization over augmented reality for mobile devices. This solution is targeted for energy saving applications but can be easily extended and scaled for any system based on “dumb” sensors.
] The second one is to demonstrate an implementation of method for real-time creating of content driven tags for video and/or photo stream and method applicability for video content search engines.