Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Watermarking media signals.

• Digital Steganography
• Industrial (pre-diploma) practice (cybsec)
• Programming parallel computing (cybsec)

More than 325 scientific publications (among 10 monographs in Ukraine, 11 book chapters, and 2 educational books). 8 patents.

Main publications:

• Vlasenko A., Vlasenko N., Vynokurova O., Peleshko D. An Empirical Mode Decomposition Based Method to Synthesize Ensemble Multidimensional Gaussian Neuro-Fuzzy Models in Financial Forecasting // In: Babichev S., Peleshko D., Vynokurova O. (eds) Data Stream Mining & Processing. DSMP 2020. Communications in Computer and Information Science, vol 1158. P. 140-149 Springer, Cham.
• Vynokurova O., Peleshko D., Peleshko M. Hybrid Deep Convolutional Neural Network with Multimodal Fusion // In: Babichev S., Peleshko D., Vynokurova O. (eds) Data Stream Mining & Processing. DSMP 2020. Communications in Computer and Information Science, vol 1158. P 62-78 Springer, Cham.
• Vynokurova, O., Peleshko, D., Zhernova, P., Perova, I., Kovalenko, A. Solving fraud detection tasks based on wavelet-neuro autoencoder // Advances in Intelligent Systems and Computing, 2021, 1246 AISC, P. 535-546
• Vlasenko, A., Rashkevych, Y., Vlasenko, N., Peleshko, D., Vynokurova, O. A hybrid EMD – Neuro-fuzzy model for financial time series analysis // Proc. of the 2020 IEEE 3rd International Conference on Data Stream Mining and Processing, DSMP 2020, 2020, pp. 112–115.
• Vynokurova, O., Peleshko, D. Hybrid multidimensional deep convolutional neural network for multimodal fusion // Proc. of the 2020 IEEE 3rd International Conference on Data Stream Mining and Processing, DSMP 2020, 2020, pp. 131–135
• Peleshko, D., Vynokurova, O., Oskerko, S., Maksymiv, O., at all Real-Time Flame Detection Using Hypotheses Generating Techniques // Advances in Intelligent Systems and Computing, 2020, 938, pp. 172–182
• Vlasenko, A., Vlasenko, N., Vynokurova, O., Bodyanskiy, Y., Peleshko, D. A novel ensemble neuro-fuzzy model for financial time series forecasting // Data, 2019, 4(3), 126
• Bodyanskiy, Y., Dolotov, A., Peleshko, D., Rashkevych, Y., Vynokurova, O. Online time series changes detection based on neuro-fuzzy approach // Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications, 2019, pp. 131–166
• Bodyanskiy, Y., Dolotov, A., Peleshko, D., Rashkevych, Y., Vynokurova, O. Associative probabilistic Neuro-Fuzzy system for data classification under short training set conditions // Advances in Intelligent Systems and Computing, 2019, 761, pp. 56–63

Education

1992 – Mathematics, programming, engineering, Lviv State University named by I. Franko, mechanics-mathematics department.

1996 – PhD. Candidate of Sciences (technical sciences). Specialty 05.13.08 Computers, systems & networks, elements and facilities of computers and control systems. Thesis title: «Development of methods of analysis of transients of electromagnetic converters of control systems taking into account vortical fields»

2011 – Doctor of Sciences (technical sciences). Specialty 05.13.23 – the systems and means of artificial intelligence. Thesis title: «The models, methods, and tools of image sets processing»

2013 – Professor of Desktop Publishing Information Technologies department and Information Systems and Technologies department

Work at Universities

1993-1996 – Ph.D. student, Lviv Polytechnic National University

1997-1998 – Research fellow, Lviv Polytechnic National University

1998-2000 – Assistant professor, Automatic System Control Department, Lviv Polytechnic National University

2000-2010 – Associate professor, Automatic System Control Department, Lviv Polytechnic National University

2008-2010 – Post-doctorate researcher, Lviv Polytechnic National University

2010-2015 – Professor  of Desktop Publishing Information Technologies department and Information Systems and Technologies Department, Lviv Polytechnic National University

2015-2016 – Chief of Desktop Publishing Information Technologies department at Institute of Computer Science and Information Technologies, Lviv Polytechnic National University

2016 – 2019 – Vice-rector, IT Step University.

2019-2022 – Professor  of  Cybersecurity Department, Banking University

2022 – present – Professor of  Cybersecurity Department, Ivan Franko National University of Lviv

Work at IT Companies 

1992-1996 –  Engineer-programmer, RIS, Lviv, Ukraine

2001-2006 – Engineer-programmer, software architect, DL, Lviv, Ukraine

2005-2008 – Master training, InterObject, Lviv, Ukraine

2018-2019 – Senior Professional, Samsung R&D Institute Ukraine (SRK), Kyiv, Ukraine

2019-2021 – Data Scientist / Machine Learning Engineer, GeoComply, Vancouver, Canad

2021-2023 – Machine Learning R&D Scientist, Team Lead, Adoriasoft, Primex Lab, LA, USA

2008 – present – Senior trainer, Global Logic, Lviv, Ukraine

2024 – present – Senior Data Scientist, Megogo, Kyiv, Ukraine

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2nd semester