A. Personal Statement

I am Candidate of Science, Associate Professor of Software Engineering Department at Kharkiv National University of Radio Electronics, Co-organizer of Data Science Lab.

My main scientific areas of interest:

1) Applied mathematics (mathematical modeling, algorithms and numerical methods, optimization)

2) Computer Science

3) Data Science, including AI, ML and computer vision.

The main area of applied activity is interdisciplinary projects in the field of medical diagnostics. The main projects will be listed below.

As a result of many years of research, significant results have been obtained in the following key areas.

1) Enhancement of medical images (X-ray, CT, etc.) using linear and nonlinear gradational correction models. Including enhancement of low-contrast images and images of metallic objects with a gloss effect using interactive and automatic image processing methods.

2) Segmentation of objects in medical images, including processing of grayscale, color and low-contrast images.

3) Classification / detection of objects in medical images.

4) Development of medical diagnostic systems (including medical visualization systems), including for the effective analysis of gunshot wounds on CT, based on the analysis of images, image sets (CT) and video data.

All these results were obtained using hybrid image processing models, which are based on the combined use of classical models and artificial intelligence models, including neural networks, decision trees and clustering. The main research results have been published internationally. Author of more than 100 publications.

In recent years, I have successfully combined the functions of a researcher and a manager of research projects (RP), some of which had 10+ participants.

I lead a team of high-level professionals (in IT, AI, cyber security and applied mathematics) and have stable, extensive connections with colleagues from medical institutions for the effective implementation of interdisciplinary IT-medical projects of any complexity.

To summarize, I can make the following conclusion. I have the necessary knowledge, skills, experience, leadership qualities, motivation, a team of high-level professionals and the necessary connections with colleagues to successfully complete an interdisciplinary research project in the subject area.

Ongoing and recently completed projects that I would like to highlight include:

REWARD (Coordinator)

01 Mar 2023 - 30 Sep 2024

Radio Electronics-Warwick Allied Research and Development

(University of Warwick, UK and Kharkiv National University of Radio Electronics, Ukraine)

0123U102783

InGuns-CT (PI), Role: researcher

31 May 2023 - 31 Dec 2024  

Intelligent information and analytical system for diagnosing gunshot wounds on CT

(Re-granting of the Horizon 2020 program)

Dual Degree Warwick-NURE MSc by Research in Computer Science (Coordinator)

1 Sep 2024 - 30 Sep 2026, 1 Sep 2025 - 30 Sep 2028

(University of Warwick, UK and Kharkiv National University of Radio Electronics, Ukraine)

Main 10 citations in specific area for last years:

1.    Smelyakov, K., Chupryna, A., Hvozdiev, M.,  Sandrkin, D., Ruban, I. & Voloshchuk, O. (2021). Unified models of gradation image correction. Book Chapter, Data-Centric Business and Applications, 293-317. doi: https://doi.org/10.1007/978-3-030-43070-2_14.

2.    Smelyakov, K., Chupryna, A., Bohomolov, O. & Vakulik, E. (2022). Lung X-Ray Images Preprocessing Algorithms for COVID-19 Diagnosing Intelligent Systems. CEUR Workshop Proceedings,  3171, 1233-1250. http://ceur-ws.org/Vol-3171.

3.    Smelyakov, K., Honchar, Y., Bohomolov, O. & Chupryna, A. (2022). Machine Learning Models Efficiency Analysis for Image Classification Problem. CEUR Workshop Proceedings, 3171, 942-959. http://ceur-ws.org/Vol-3171.

4.    Smelyakov, K., Savulioniene, L., Chupryna, A., Sakalys, P. & Sandrkin, D. (2023). Adaptive Image Enhancement Model for the Robot Vision System, Vide. Tehnologija. Resursi - Environment, Technology, Resources, 3, 246-251. doi: https://doi.org/10.17770/etr2023vol3.7300.

5. Khoroshun, E., Smelyakov, K., Chupryna, A., Makarov, V., Nehoduiko, V., & Vakulik, Y. (2024). Improving of computed tomography images for effective diagnosis of gunshot wounds. EMERGENCY MEDICINE, 20(7), 577-583. https://doi.org/10.22141/2224-0586.20.7.2024.1776.

6.    Smelyakov, K., Kitsenko, Y., & Chupryna, A. (2024). Deepfake Detection Models Based on Machine Learning Technologies. 2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), 1-6. doi: 10.1109/eStream61684.2024.10542582.

7.    Shcherban, Y., Smelyakov, K. & Chupryna, A. (2024). AI Models of Pulmonary Sarcoidosis Detection. 2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), 1-4. doi: 10.1109/eStream61684.2024.10542583.

8.    Byzkrovnyi, O., Smelyakov, K., Chupryna, A. & Lanovyy, O. (2024). Comparison of Object Detection Algorithms for the Task of Person Detection on Jetson TX2 NX Platform. 2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), 1-6. doi: 10.1109/eStream61684.2024.10542592.

B. Positions, Scientific Appointments, and Honors

Positions and Scientific Appointments

2023 (Jul – Aug, Nov)

Visiting Professor, University of Warwick, UK

2011 – Present

Associate Professor, Software Engineering Department, Kharkiv National University of Radio Electronics, Ukraine

2009 – 2015

Visiting Professor, Linnaeus University, Sweden

2010 – 2011

Senior lecturer, Software Engineering Department, Kharkiv National University of Radio Electronics, Ukraine

2007 – 2010

Assistant, Software Engineering Department, Kharkiv National University of Radio Electronics, Ukraine

2000 – 2005

Graduate Student, Software Engineering Department, Kharkiv National University of Radio Electronics, Ukraine

Honors

2015 Acknowledgments of the Department of Science and Education of the Kharkiv Regional State Administration.

C.  Contributions to Science

My earlier and more publications mainly focus on various aspects of intelligent data analysis systems development, digital image processing, image retrieval in big data repositories, and text processing. The main ones (just international) are listed below.

1.    Intelligent data analysis systems.

a.    Smelyakov, K., Pribylnov, D., Martovytskyi, V. & Chupryna, A. (2018). Investigation of network infrastructure control parameters for effective intellectual analysis. 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, Ukraine, 983-986, doi: 10.1109/TCSET.2018.8336359.

b.    Byzkrovnyi, O., Smelyakov, K. & Chupryna, A. (2022). Approaches for Cryptocurrency Price Prediction, 2022 IEEE 9th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T), Kharkiv, Ukraine, 75-80, doi: 10.1109/PICST57299.2022.10238480.

c. Smelyakov, K., Bohomolov, O., Kizitskyi, M. & Chupryna, A. (2022). Identification of Modern Facial Emotion Recognition Models. CEUR Workshop Proceedings, 3171, 1267-1281. http://ceur-ws.org/Vol-3171.

d. Sakalys, P., Loreta, S., Savulionis, D., Chupryna, A. & Smelyakov, K. (2024). Research of Robotic System Positioning Accuracy // Vide. Tehnologija. Resursi - Environment, Technology, Resources, 3, 279-282. doi: https://doi.org/10.17770/etr2024vol3.8156.

2.    Digital image processing.

a. Smelyakov, K., Chupryna, A., Yeremenko, D., Sakhon, A. & Polezhai, V. (2018). Braille Character Recognition Based on Neural Networks. 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP), Lviv, Ukraine, 509-513. doi: 10.1109/DSMP.2018.8478615.

b. Arsenov, A., Ruban, I., Smelyakov, K. & Chupryna, A. (2018) Evolution of convolutional neural network architectursae in image classification problems. CEUR Workshop Proceedings, 2318, 35-45. https://ceur-ws.org/Vol-2318.

c. Smelyakov, K., Hvozdiev, M., Chupryna, A., Sandrkin, D. & Martovytskyi, V. (2019). Comparative Efficiency Analysis of Gradational Correction Models of Highly Lighted Image. 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T), 703-708, doi: 10.1109/PICST47496.2019.9061356.

d.    Smelyakov, K., Tovchyrechko, D., Ruban, I., Chupryna, A. & Ponomarenko, O. (2019). Local Feature Detectors Performance Analysis on Digital Image. 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T), 644-648, doi: 10.1109/PICST47496.2019.9061331.

e. Smelyakov, K., Chupryna, A., Hvozdiev, M. & Sandrkin, D. (2019). Gradational Correction Models Efficiency Analysis of Low-Light Digital Image. 2019 Open Conference of Electrical, Electronic and Information Sciences (eStream), 1-6, doi: 10.1109/eStream.2019.8732174.

f.      Smelyakov, K., Chupryna, A., Bohomolov, O. & Ruban, I. (2020). The Neural Network Technologies Effectiveness for Face Detection. 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP), 201-205, doi: 10.1109/DSMP47368.2020.9204049.

g.    Smelyakov, K., Smelyakov, S. & Chupryna, A. (2020). Advances in Spatio-Temporal Segmentation of Visual Data. Chapter 1. Adaptive Edge Detection Models and Algorithms. – Springer Nature Switzerland AG 2020, 1-51. DOI:10.1007/978-3-030-35480-0_1.

h.    Smelyakov, K., Chupryna, A., Bohomolov, O. & Hunko, N. (2021). The Neural Network Models Effectiveness for Face Detection and Face Recognition. 2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), 1-7, doi: 10.1109/eStream53087.2021.9431476.

i.      Byzkrovnyi, O., Savulioniene, L., Smelyakov, K., Sakalys, P. & Chupryna, A. (2023). Comparison of Potential Road Accident Detection Algorithms for Modern Machine Vision System, Vide. Tehnologija. Resursi - Environment, Technology, Resources, 3, 50-55.  doi: https://doi.org/10.17770/etr2023vol3.7299.

j.      Byzkrovnyi, O., Chupryna, A., Smelyakov, K., Sharonova, N. & Repikhov, V. (2023). Comparison of Object Detection Algorithms for the Task of Detecting Possible Road Accident, CEUR Workshop Proceedings, 3387, 13-28. https://ceur-ws.org/Vol-3387.

3.    Image retrieval in big data repositories.

a.    Smelyakov, K., Chupryna, A., Ponomarenko, O. & Kolisnyk, M. (2020). Search by Image Engine using Local Feature Detectors, 2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), Vilnius, Lithuania, 1-4, doi: 10.1109/eStream50540.2020.9108884.

b.    Smelyakov, K., Chupryna, A., Sandrkin, D. & Kolisnyk, M. (2020). Search by Image Engine for Big Data Warehouse. 2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), Vilnius, Lithuania, 1-4, doi: 10.1109/eStream50540.2020.9108782.

c.     Pohuliaiev, Y., Smelyakov, K., Chupryna, A. &  Ruban, I. (2022). Methods of Semantic Structured Search," 2022 IEEE 9th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T), Kharkiv, Ukraine, 101-105, doi: 10.1109/PICST57299.2022.10238538.

d. Smelyakov, K., Prokopenko, O. & Chupryna, A. (2022). Object-Based Image Comparison Algorithm Development for Data Storage Management Systems. CEUR Workshop Proceedings, 3171, 1251-1266. http://ceur-ws.org/Vol-3171.

4.    Text processing.

a.    Smelyakov, K., Karachevtsev, D., Kulemza, D., Samoilenko, Y., Patlan, O. & Chupryna, A. (2020). Effectiveness of Preprocessing Algorithms for Natural Language Processing Applications. 2020 IEEE International Conference on Problems of Infocommunications. Science and Technology (PIC S&T), Kharkiv, Ukraine, 187-191, doi: 10.1109/PICST51311.2020.9467919.

b.    Smelyakov, K., Chupryna, A., Darahan, D. & Midina, S. (2021). Effectiveness of modern text recognition solutions and tools for common data sources. CEUR Workshop Proceedings, 2870, 154–165, https://ceur-ws.org/Vol-2870.

c. Danylenko, S., Smelyakov, K. & Chupryna, A. (2022). Methods of Digital-To-Analog Conversion for Reproduction of Sound Waves. 2022 IEEE 9th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T), Kharkiv, Ukraine, 43-48, doi: 10.1109/PICST57299.2022.10238632.