Rykhard Bohush

Doctor of Technical Sciences, Professor, Head of the Department of Computing Systems and Networks

Rykhard Bohush

Doctor of Technical Sciences, Professor, Head of the Department of Computing Systems and Networks

Teaching activities

In 1997, he graduated from the Faculty of Radio Engineering of Polotsk State University. From 1997 to 2000, he was a student of postgraduate programme of Polotsk State University. In 2002, at The Institute of Technical Cybernetics of the National Academy of Sciences of Belarus, he defended his PhD thesis in the specialty System Analysis, Management and Information Processing. In 2006, he was awarded the academic title of associate professor. In 2022, he defended his doctoral dissertation at Belarusian State University of Informatics and Radioelectronics, specialty ‘System Analysis, Management and Information Processing’.

Since 1998 he has been working as a lecturer at Polotsk State University. In 2007, he became the head of the department.

Currently teaches the following disciplines:

Digital Image Processing
Machine Learning
Information Theory
Digital Signal and Image Processing
Methods of Intelligent Image Processing

Social esteem

In 2000, he was awarded the diploma of the Vitebsk Regional Society of Inventors and Innovators for the first place in the regional competition among young inventors
Award winner of the Vitebsk Regional Executive Committee for Talented Young Scientists and Specialists in 2007
He was awarded diplomas of the Ministry of Education of the Republic of Belarus in 2008 and 2010, and an honorary diploma of the Ministry of Education of the Republic of Belarus in 2013.
He was awarded a diploma from the Ministry of Education of the Republic of Belarus for his personal contribution to science and in connection with Belarusian Science Day in 2018.
He was awarded the badge of the Ministry of Education in 2022.
Awarded by the State Committee for Science and Technology (2023)

Scientific interests

Machine Learning
Image and Video Processing
Intelligent Systems
Information Security

Author's profile of the scientist

Membership in associations

Member of Belarusian Association of Artificial Intelligence Specialists
Member of Belarusian Association of Image Analysis and Recognition
Member of Scientific and Methodological Council in the field of Computing (Scientific and Methodological Association of Higher Educational Institutions of the Republic of Belarus of Education in the field of Informatics and Radioelectronics

International experience

As part of his research and teaching activities, he completed internships at the following universities: Aristotle University of Thessaloniki, Greece (2013); Tallinn University of Technology, Estonia (2013); Vilnius Gediminas Technical University, Lithuania (2015); Brunel University of London, UK (2015), Korea Institute of Industrial Technology, Seoul (2015); Don State Technical University, Rostov-on-Don, Russia (2017); Zhejiang Shuren University, Hangzhou, China (2019, 2023); Zhejiang University, Hangzhou, China (2023); Yagshygeldi Kakayev International Oil and Gas University, Ashgabat, Turkmenistan (2024); Harbin Institute of Technology, China (2024).

Publications

The results of the studies have been published in more than 200 scientific papers, including in the Russian Federation and other CIS countries, China, European Union countries, USA, South Korea, Vietnam. Some scientific results were obtained jointly with colleagues from the Russian Federation, China, Great Britain, Germany and Japan. More than 40 papers indexed in the Scopus scientific papers database.

Chen, H., Ihnatsyeva, S., Bohush, R. et al. Two-Stage Hyperparameter Tuning and Local Feature Extraction for Improved Person Re-Identification. Pattern Recognit. Image Anal. 35, 275–288 (2025). https://doi.org/10.1134/S105466182570018X
Bohush, R., Adamovskiy, Y., Naumovich, N. (2025). Comparing LSTM and KAN Models for Predicting Channel Resource Occupancy in Cognitive Radio. In: Wang, L., Gao, L., Lu, X. (eds) Innovations in Images, Signals, and Computing. ICISC 2024. Lecture Notes in Networks and Systems, vol 1411. Springer, Cham. https://doi.org/10.1007/978-3-031-91683-0_9
Ye, S., Bohush, R., Ihnatsyeva, S. et al. Person re-identification in video surveillance systems by feature replacement of occluded parts of human figures. Pattern Anal Applic 28, 102 (2025). https://doi.org/10.1007/s10044-025-01482-1
Shiping, Ye Real-Time Smoke Detection in Video Based on Two-Step Selection of Regions of Interest and Directional Movement Analysis / Shiping Ye, Y. Adamovsky, Huafeng Chen, R. Bohush, S. Ablameyko // Pattern Recognit. Image Anal. - 2024 - vol. 34. - pp. 1323-1332. - DOI: 10.1134/S1054661824701396.
Huafeng Chen, Tracking and Computation of Characteristics of the Movement of People in Groups on Video Using Convolutional Neural Networks / Huafeng Chen, A. Krytsky, Shiping Ye, R. Bohush, S. Ablameyko // Opt. Mem. Neural Networks. - 2024 - vol. 33. - pp. 373–384. - DOI: 10.18287/2412-6179-CO-1422.
Quan H, People tracking accuracy improvement in video by matching relevant trackers and YOLO family detectors / H Quan, G Ma, Y Weichen, R Bohush, F Zuo, S Ablameyko // Computer Optics 2024. - 48(5). - pp. 734-744. - DOI: 10.18287/2412-6179-CO-1422.
Bohush, R. Spectrum Hole Prediction in Cognitive Radio Systems by LSTM Neural Networks / R. Bohush, Y. Adamovskiy, N. Naumovish, V. Chertkov // 8th International Conference on Computing, Control and Industrial Engineering (CCIE2024), Lecture Notes in Electrical Engineering. - vol 1253. - Springer, Singapore. - https://doi.org/10.1007/978-981-97-6937-7_50
Adamovskiy, Y. Real-Time Algorithm for Light Gray Smoke Detection in Video Sequences / Y. Adamovskiy, R. Bohush // 8th International Conference on Computing, Control and Industrial Engineering (CCIE2024), Lecture Notes in Electrical Engineering. - vol 1252. - Springer, Singapore. - https://doi.org/10.1007/978-981-97-6934-6_64
Huafeng Chen, Pashkevich, A., Ye, S. Crowd Movement Type Estimation in Video by Integral Optical Flow and Convolution Neural Network / H. Chen, A. Pashkevich, S. Ye, R.P. Bohush, S.V. Ablameyko // Pattern Recognition and Image Analysis. – 2024. - 34. - pp. 266–274. - https://doi.org/10.1134/S1054661824700068
Bohush, R. Spectrum Hole Prediction in LTE-Based Cognitive Radio System Using Kolmogorov-Arnold Network / R. Bohush, Y. Adamovskiy, N. Naumovish // Applied Mathematics, Modeling and Computer Simulation : proceedings of the 4th International Conference (AMMCS 2024), Wuhan, China, 17-18 August 2024 / ed.: Chi-Hua Chen [et al.]. – [Wuhan], 2024. – P. 333–340.
An Effective Algorithm to Detect Both Smoke and Flame Using Color and Wavelet Analysis / Ye. Shiping, Zh. Bai, H. Chen [et al.] // Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications. – 2017. – Vol. 27, No. 1. – P. 131-138. – DOI 10.1134/S1054661817010138
An effective object detection algorithm for high resolution video by using convolutional neural network / D. Vorobjov, I. Zakharava, R. Bohush, S. Ablameyko // Lecture Notes in Computer Science. – 2018. – Vol. 10878 LNCS. – P. 503-510. – DOI 10.1007/978-3-319-92537-0_58
Maltsev S., Ablameyko S., Bohush R. Signal and image processing based on vector - matrix computations, Novopolotsk, PSU . – 2011. - 212p.