My research interests include causal models and model inference from data
Graduated from Taras Shevchenko Kyiv National University, Cybernetics Department. Received Ph.D. and Doctor of Sciences degrees in 1989 and 1997 respectively, both from the Glushkov Institute of Cybernetics of NASU (Kyiv, Ukraine). More than 200 research papers in journals and proceedings including 7 monographs. Member of the ACM. Research interests include High-Performance Parallel Computation, Multiprocessor Sytems and Automation Methods of Parallel Software Development.
Optimization, Theory and Algorithms, Applied Mathematics
I am Full Professor of Computer Science at the University of Muenster/Germany since 2003. Earlier I was Associate Professor at TU Berlin, Assistant Professor at the University of Passau, and Humboldt Fellow at TU Munich. My main research interests include: program development techniques for high-performance computing using multi- and many-core processors, high-level programming tools for real-time interactive applications like online games, as well as enforcing application-level QoS and improving multicast in distributed settings using Software- Defined Networking (SDN). I have about 200 peer-reviewed publications in international journals and conferences, and I have been principal investigator in several projects on parallel, distributed, Grid and Cloud computing, and networking, funded by the European Commission and German national bodies. I hold the MSc degree from the State University of Kiev, PhD degree from the Glushkov Institute of Cybernetics in Kiev, and the Habilitation degree from the University of Passau/Germany.
Hrechko Anastasiia Valeriivna,
Candidate of Physics and Mathematics,
Researcher at the V.M. Glushkov Institute of Cybernetics of NAS of Ukraine, Kiev, Ukraine
Deputy director of Glushkov Institute of Cybernetics, correspondent member of National Academy of Science of Ukraine, professor.
I am a Reader in Distributed Computing at the School of Computer Science and Engineering and Director of the University Research Centre for Parallel Computing. I hold a PhD in Distributed Computing, and MSc Degrees in Mathematics and Computer Science, and Electrical Engineering.
I have attracted over £20 Million research funding and have been leading national and European research projects related to enterprise applications of cloud computing technologies.I have been involved in several European and UK funded research projects as principal investigator or co-investigator. I have been acting as project director and scientific coordinator for the European CloudSME (Cloud-based Simulation Platform for Manufacturing and Engineering) project that developed a Cloud-based simulation solution for manufacturing and engineering SMEs. I am Chair of the Advisory Board of CloudSME UG that has been established by ten European stakeholders to exploit the results of the CloudSME project. Currently I am leading the EU H2020 COLA (Cloud Orchestration at the Level of Application) project that investigates how a generic and pluggable framework that supports the optimal and secure deployment and run-time orchestration of cloud applications can be created. I am I also a member of the Executive Board and Coordinator of Application Experiments in the EU H2020 CloudiFacturing (Cloudification of Production Engineering for Predictive Digital Manufacturing) project that brings and progresses advanced information and communications technology in the field of cloud-based modelling and simulation, data analytics for online factory data, and real-time support to European manufacturing SMEs.
I have co-authored over 100 scientific publications in peer reviewed journals, high profile conference proceedings and as chapters of edited books.
Optimization on big and dynamic graphs.
Investigation of fractal and self-similar graphs.
Areas of interest: parallel computer algebra, matrix factorization, recursive matrix algorithms, dynamic parallelization on distributed memory.
The main results: the algorithm for calculating the adjoint matrix with cubic complexity in a commutative domain (1983), the algorithm for recursive matrix inversion and the calculation of the kernel of an operator with the complexity of matrix multiplication in the commutative domain (2008), the algorithm for the generalized Bruhat decomposition over a field (2010) and over a commutative domain (2013 and 2015) ), the dynamic parallelization of recursive matrix algorithms (2008-2018).
Mathematics, supercomputing, machine learning.
Graduated from Moscow State University named after
M.V. Lomonosov (Moscow, USSR). Doctor of Physical and Mathematical Sciences, Head of Applied Mathematics and Computer Science Department,
Lesya Ukrainka Eastern European National University
Graduated with honour from the Belarussian State University (Minsk, Belarus). In 2003 received doctoral degree from Otto-von-Guericke University of Magdeburg (Germany). After having several postdocs in Poland, Germany, Denmark and UK, currently working as University Lecturer and Docent at the Department of Mathematics and Statistics, University of Turku (Finland).
I want attend the conference sessions as a guest for free.
Dr.Sci , Senior Researcher of ILTPE. He is specialist in area of ab initio calculation of nucleic acids components .Yu V Rubin is authors more 70 scientific publication. He is participant of some International GRID Programs. Yu V Rubin is participant of all Ukraine HPC Conferences
Parallel solution in fast methods of timer coding of information.
My name is Artem. My surname is Tomilo. I am a second year student at Taras Shevchenko National University of Kyiv. My specialty is computer engineering. I like to develop highly effective programs for solving a wide range of tasks. Now I'm developing a fast and easy-to-use magnetic simulator to model a huge amount of physical phenomena.
One of the numerous researchers from the Kharkiv's school of the Academician V. L. Rvachev, who has created the theory of R-functions. Interested in mathematical modelling, computer simulations, and various high performance solutions for the mechanical engineering problems.
MCP, MCSA, MSTS
Ph.D. in mechanics of fluid, gas and plasma. Senior Researcher at the Institute of Hydromechanics, National Academy of Sciences of Ukraine. Scientific interests include flow control methods, numerical simulation of inhomogeneous fluid flows, parallel programming, cluster computing.
PhD Student of Pukhov Institute for Modelling in Energy Engineering, CEO at NaomiHire, experience in AI, BigData, blockchain