Oleksii Vodka
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Orcid: 0000-0002-4462-9869
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E-mail: oleksii.vodka@khpi.edu.ua
Repository of NTU “KhPI”:
eNTUKhPIIR
Google Scholar
Research Gate
Orcid: 0000-0002-4462-9869
E-mail: oleksii.vodka@khpi.edu.ua
Repository of NTU “KhPI”:
eNTUKhPIIR
Scopus Profile
Google Scholar
Research Gate
Orcid: 0000-0002-4462-9869
Facebook
E-mail: oleksii.vodka@khpi.edu.ua
Repository of NTU “KhPI”:
eNTUKhPIIR
Google Scholar
Research Gate
Orcid: 0000-0002-4462-9869
E-mail: oleksii.vodka@khpi.edu.ua
Repository of NTU “KhPI”:
eNTUKhPIIR
Position: Head of the Department of Mathematical Modeling and Intelligent Computing in Engineering (MME).
Scientific degree, academic title: Candidate of Technical Sciences, Associate Professor.
Specialist in computer science and mathematical modeling. He has scientific developments in the field of creating intelligent software for modeling the behavior and visualization of the structure of complex materials, modeling random processes and assessing the reliability of complex systems.
Graduated from NTU “KhPI” with a degree in Information Technology in Design, specialty 6.050101 Computer Science, qualification of System Analyst Engineer, 2011.
Candidate of Technical Sciences, specialty 05.02.09 – dynamics and strength of machines.
Dissertation topic: “Development of methods for assessing the service life of bolted joints of impellers of rotary-blade hydraulic turbines”, 2014.
Associate Professor at the Department of Dynamics and Strength of Machines, 2016.
Scholar of the Cabinet of Ministers of Ukraine for young scientists, 2016 – 2017.
Winner of the President of Ukraine Prize for Young Scientists 2018, Decree №419/2018 of 07.12.2018
for the work “Structural engineering of composite materials at different levels of organization”
Lecture courses:
- Computer signal and image processing,
- Architecture of computer systems,
- Data visualization,
- Integrated computer systems for design and analysis,
- Data-driven modeling,
- Programming for Linux kernel,
- Academic writing,
- Parallel computing on CPU/GPU/CUDA
Scientific interests: software development, parallel computing, mathematical modeling and intelligent computing, prediction of reliability and service life of complex mechanical systems.