Світлана

SVITLANA
MYKHAILENKO
CURRICULUM VITAE

Date of Birth: August 27, 2003 Nationality: Ukrainian Gender: Female E-MAIL LINKEDIN GITHUB ORCID

RES EARCH PROJ ECT S L ANGUAGES

September 2024 - June 2025 Ukrainian (C2) | English (B1)
PTSD Analysis based on fMRI Data
Department of Biomedical Cybernetics, Igor Sikorsky KPI
Conducted feature selection and analysis of brain activity signals to EDUCAT I ON
identify key indicators for PTSD diagnosis.
Built predictive models for PTSD diagnosis, enhancing the accuracy of
early detection and treatment planning.
Developed diagnostic and graphical modules to enable real-time 2021 - 2025 UKRAINE
classification, interpretation of brain signals, and forecasting of PTSD- IGOR SIKORSKY KYIV POLYTECHNIC INSTITUTE
related outcomes. Bachelor in Computer Science

September 2024 - Present 2025 UKRAINE

One-Class Plagiarism Detection System for Academic Integrity IGOR SIKORSKY KYIV POLYTECHNIC INSTITUTE
Developed a process one-class classification system using OpenCV to Planned Master’s degree in Computer Science
detect image similarities and potential plagiarism in student
submissions.
Applied anomaly detection techniques to analyze graphical content,
identifying unoriginal visual patterns within student group projects. COMPET ENCI ES
July 2024 - January 2025

Color-Blindness Approximation: Unique Colors for Colorblindness TECHNICAL SKILLS:
Detection Programming languages; Python, C++,
Built a pipeline to identify color pairs commonly confused by colorblind MATLAB.
users via LAB color space conversion and clustering. Designed for Frameworks/Libraries: Pandas, NumPy, SciPy,
integration into an app or plugin to enable real-time detection and Matplotlib, Seaborn, TensorFlow, Keras, API.
automatic color correction.
Specialization: data analysis, system
June 2024 - July 2024 modeling, visualization.

Color-Blindness Approximation: Image Processing for Dataset
Expansion SOFT SKILLS:
Developed an image processing method for generating synthetic Teamwork | Problem-Solving | Analytical
images to expand the Ishihara dataset for better classification of Skills | Presentation Skills
protanopia, deuteranopia and new one class - tritanopia.

February 2024 - April 2024
PUBL I CAT I ONS
Predicted Treatment Dose for Obesity (Multifactor Analysis)
Department of Biomedical Cybernetics, Igor Sikorsky KPI
Developed GUI system of optimal treatment strategies based on Aliev, E. I., Bovsunovskaya, K. S., Dykan, I. M.,
patient-specific factors, accounting for potential side effects. Mykhailenko, S. A., Omelchenko, O. M., Pavlov,
V. A. (2024). Determining Predictors for
PTSD Diagnosis Using BOLD Signals and
VAL UNT ERI NG GMDH.

September 2024 - Present
HONORS & AWARDS
Department of Biomedical Cybernetics | Scientific Group
Designing algorithms and developing software for automated analysis.
Mentoring new participants in the project.
State-funded Scholarship
September 2021 - Present Awarded to the top 5% of academic
Department of Biomedical Cybernetics | Group Leader achievers, Igor Sikorsky Kyiv Polytechnic
Coordinating student activities, organizing data processing workflows, Institute
and distributing project updates.