PHD COMPUTER SCIENCE • KYIV, UKRAINE
Oleksandr
Bilokon
Engineering Design • Mechanical Engineering • AI for Engineering
Design • Generative AI • Applied Science • Design Experiments • Mathematical Modeling • Scientific Writing / LaTeX
Engineering Design • Mechanical Engineering • AI for Engineering • Design • Generative AI • Applied Science • Design Experiments • Mathematical Modeling • Scientific Writing / LaTeX
Projects
65+
Years of
experience
20+
Years of
experience
20+
Projects
65+
ABOUT
Scientific interests
Mathematical methods of artificial intelligence, research into artificial neural networks and their
architectures. Computer vision algorithms for robotic applications. Robotic automation of machine
tools and equipment, wheeled robotics, medical and surgical robotics, automation of CAD systems,
and intelligent mechatronic systems.
My research focuses on the study of mathematical computational models based on artificial intelligence and artificial neural networks, applied geometry and engineering graphics, theory of machines and mechanisms, machine parts. I also research algorithms for motion planning, control and navigation, SLAM, artificial intelligence and machine learning methods, as well as theoretical foundations of computer science, in particular formal models and the theory of automata, for autonomous robotic systems and their computational modeling.
The engineering aspect of research and development includes the design of neural network architectures, testing and deployment on various computing capacities, mainly microprocessor systems. Also engineering developments and computer design of hardware developments for robotic systems, development of CAD models and technical documentation, in particular 2D drawings and 3D models for prototyping and integration of complex systems.
The goal is to create reliable, scalable and reproducible solutions for both software and computing implementation and hardware devices for robotic solutions in applied robotics developments.
20+
Years of
experience
65+
Projects
6
Citations
2
H-index
7500+
Total hours in AutoCAD
Expertise
Areas of expertise and collaboration
CAD & Geometry
- AutoCAD
- AutoCAD Mechanical
- Autodesk Inventor
- Fusion 360
- MathCAD
- CATIA V5
- Ansys
- Siemens NX
- nTop
- OpenSCAD
- Model Based Definitions (MBD)
- STEP (AP 203/213/242), B-Rep, IGES
- Implicit (SDF), Voxels, Point clouds, Meshes
AI / ML for Engineering
- Generative AI (cVAE, GAN, Diffusion)
- Graph Neural Networks (VGAE)
- Physics-Informed NNs & Neural Operators (FNO)
- Vision Transformer (ViT), U-Net, XGBoost
- NSGA-II & multi-objective optimization
- LLM fine-tuning & agentic workflows
- Inverse design & surrogate modeling
Applied Science / Design of Experiments
- Experimental design & methodology
- Factor screening & sensitivity analysis
- Statistical data analysis
- Model validation & benchmarking
- Robustness & uncertainty analysis
PORTFOLIO
Applied results and technical portfolio
Assembly Instruction
Creation of assembly instructions based on sketches provided by the client.
3d model of the STEM constructor
2D and 3D drawings and renderings of a set of magnetic building tiles with vibrant colors and different shapes have been created, including triangles, squares, rectangles and more! This set is equipped with a wheelbase that has also been modeled. In addition, a 3D model of the complete trolley was created.
3D Model Design – Toy Assembly
The assembled 3D model of the magnetic structure consists of over 3,000 parts. It was prepared for a toy manufacturing company.
3D design of a specialized mechanical engineering component.
A 3D model of a specialized technical component was developed, along with a set of 2D manufacturing drawings containing all necessary dimensions, tolerances, and fits.
CAREER
Work experience
Education
Degrees
2018–2024
Doctor of Philosophy in Computer Science (PhD)
V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine
Kyiv, Ukraine
Dissertation: Neural network models and methods for amplification finite state machine for tasks of traversing mazes.
2006–2008
Master of Business Administration (Marketing Management) MBA
Kyiv National University of Trade and Economics
Kyiv, Ukraine
2004–2005
Mechanical engineer (specialist)
Kyiv National University of Building and Architecture
Kyiv, Ukraine
2000–2004
Bachelor of Engineering Mechanics
Kyiv National University of Building and Architecture
Kyiv, Ukraine
Memberships & Certifications
Honorary titles and professional memberships
ASME
Member of the American Society of Mechanical Engineers (ASME)
IEEE RAS
Member of IEEE (Robotics and Automation Society)
IEEE EMBS
Member, IEEE Engineering in Medicine and Biology Society (EMBS)
Sigma Xi
Member of the international scientific honorary society Sigma Xi (Rice University / Texas Medical Center, USA)
Grants
Participation in international grant projects
NAS of Ukraine • PAS
Participant of the joint scientific project of mobility of the National Academy of Sciences of Ukraine and the Polish Academy of Sciences. Project topic: “Neural network models and methods of navigation system of a mobile robotic platform” implemented by the V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine and the Institute of Fundamental Technological Research of the PAS.
Augusta University, USA
Selected as a visiting researcher at the School of Computer Science and Cybernetics, Augusta University (USA). Official invitation received; visit did not take place. (2022–2023)
PAS • U.S. NAS • NAS of Ukraine
Participant of the international long-term funding program (Long-Term Project, LTP), implemented by the Polish Academy of Sciences (PAS) and the National Academy of Sciences of the United States (NAS) in cooperation with the National Academy of Sciences of Ukraine. Topic: “Study of solar flares and their manifestations during the 25th cycle of solar activity using data from the Solar Orbiter and groundbased radio astronomy databases.”Institution: Center for Space Research of the PAS.
RESEARCH OUTPUT
Publications
Review and Analysis of the Development of Artificial Neural Networks
Cybernetics and Computer Technologies, Issue №3 (2023), pp. 69–80.
An iterative algorithm for determining the temporal characteristics of solar X-ray flares for the automated formation of a data set in machine learning systems
The European Geophysical Union General Assembly 2024.
Backpropagation artificial neural network learning algorithm process impact based on hyperparameters
TechRxiv. Preprint.
Determination of the Characteristics of Solar X-ray Flares as Sources of CME and Interplanetary Shock Waves
Solar & Stellar Coronal Mass Ejections, International Conference, Krakow, Poland, May 5–10, 2024.
CONTACT
Let’s discuss a research collaboration
Open to research collaborations, joint projects and academic positions in the United States and Canada.
- Kyiv, Ukraine
- sashabilokon82@gmail.com
- CV