Research interests

    Optimization, Computer vision, Pattern recognition
  • Image quality assessment (medical images, natural images, websites, documents, remote sensing images)
  • Local feature descriptors
  • Image recognition
  • Time-series classification
  • Time-series augmentation
  • Meta-heuristic optimization algorithms
  • Gesture recognition, sign language recognition
  • Vision–based human–computer interfaces

Professional experience

  • 2005-2013: Research Assistant, Department of Computer and Control Engineering, Rzeszow University of Technology
  • 2013-2019: Assistant Professor, Department of Computer and Control Engineering, Rzeszow University of Technology
  • 2019-: Associate Professor, Department of Computer and Control Engineering, Rzeszow University of Technology

Education

  • 2000-2005: MSc Eng in Electrical Engineering, specialization: control and computer engineering; Faculty of Electrical and Computer Engineering, Rzeszow University of Technology
  • 2010-2013: PhD in Computer Science, specialization: pattern recognition; Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, Cracow, Poland
  • 2019: DSc (habilitation) in Computer Science, specialization: pattern recognition, image quality assessment; Faculty of Mechanical Engineering and Computer Science, Czestochowa University of Technology, Czestochowa, Poland

Grants

  • VIA CARPATIA Universities of Technology Network named after the President of the Republic of Poland Lech Kaczyński, under the special purpose grant from the Minister of Science, contract no. MEiN/2022/DPI/2578 2022-2025. Coordinator of the SCIENCE area.
  • Development of an automatic method for determining the quality of magnetic resonance images, 2020, Subcarpathian Center for Innovation, grant no. N2_054, contract no. 32/PRZ/1/DG/PCI/2020, principal investigator
  • Regional Initiative of Excellence, Ministry of Science and Higher Education of the Republic of Poland, 027/RID/2018/19, 2019–2022, principal investigator
  • A system for supporting sign language communication in public institutions, 2015-2017, TANGO1/270034, principal investigator
  • Sign language recognition using subunits (in Polish), 2014, statutory activity of the Department of Computer and Control Engineering (development of young researchers and PhD students), principal investigator
  • Verification of methods for clustering and classification of signed expressions methods (in Polish), 2013, statutory activity of the Department of Computer and Control Engineering (development of young researchers and PhD students), principal investigator
  • Synthesis and testing a classifier of signed expressions using subunits and hidden Markov models (in Polish), 15.05.2012 - 31.12.2012, statutory activity of the Department of Computer and Control Engineering (development of young researchers and PhD students), principal investigator
  • Using clustering of time series for video-based recognition of signed expressions (in Polish), 17.05.2011 - 31.12.2011, statutory activity of the Department of Computer and Control Engineering (development of young researchers and PhD students), principal investigator
  • Automatyczne rozpoznawanie wypowiedzi w języku migowym na podstawie sekwencji wizyjnych (Automatic video-based recognition of signed expressions), Grant NN 516 369736 of Ministry of Science and Higher Education, 2009-2011, investigator

Awards

  • Individual Award of Rector of Rzeszow University of Technology in 2014, 2017-2023 for scientific achievements (each year).
  • Bronze Cross of Merit by the President of the Republic of Poland in 2022
  • Silver medal of INTARG® 2022 Silver (16th International Invention and Innovation Show INTARG) for patent-application of Computer program for assessing the quality of magnetic resonance images
  • Team Award of Rector of Rzeszow University of Technology in 2012 for monograph "Vision – based Hand Gesture Recognition"

Publications

  • Cymerys, K., Oszust, M.: Attraction–Repulsion Optimization Algorithm for Global Optimization Problems, Swarm and Evolutionary Computation, Volume 84, 101459, 2024, Student co-authored this paper, Link DOI

  • Stępień, I., Oszust, M.: TIQA-PSI: Toolbox for perceptual Image Quality Assessment of Pan-Sharpened Images, SoftwareX, Volume 23, 2023, 101494, ISSN 2352-7110, Link DOI
  • Stępień, I., Oszust, M.: No-Reference Image Quality Assessment of Magnetic Resonance images with multi-level and multi-model representations based on fusion of deep architectures, Engineering Applications of Artificial Intelligence, Volume 123, Part A, 2023, 106283, Link DOI

  • Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch.: Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation, Advances in Neural Information Processing Systems, pp. 33215--33232, volume 35, 2022, NeurIPS 2022 Datasets and Benchmarks, Link
  • Oszust, M., Bielecka, M., Bielecki, A., Stępień, I., Obuchowicz, R. Piórkowski, A.: "Blind image quality assessment of magnetic resonance images with statistics of local intensity extrema," Information Sciences, 606, pp. 112-125, 2022, Link DOI
  • Oszust, M., Warchoł D.: Time Series Augmentation with Time-Scale Modifications and Piecewise Aggregate Approximation for Human Action Recognition, 2022 IEEE 34rd International Conference on Tools with Artificial Intelligence (ICTAI), Washington, DC, USA, 31 October – 2 November 2022, 2022, pp. 700-704, doi: Link DOI
  • Warchoł, D., Oszust, M.: Efficient Augmentation of Human Action Recognition Datasets with Warped Windows, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES2022, Edited by Matteo Cristani, Carlos Toro, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain, Procedia Computer Science, Elsevier, volume 207, 2022, Pages 3018-3027, Link DOI
  • Stępień, I., Oszust, M.: A Brief Survey on No-Reference Image Quality Assessment Methods for Magnetic Resonance Images, Journal of Imaging, 8 (6), 160, 2022, Link DOI
  • Warchoł, D., Oszust, M.: Augmentation of Human Action Datasets with Suboptimal Warping and Representative Data Samples, Sensors, 22 (8), 2947, 2022, Link DOI
  • Stępień, I., Oszust, M.: No-Reference Quality Assessment of Pan-Sharpening Images with Multi-Level Deep Image Representations, Remote Sensing, 14 (5), 1119, 2022, Link DOI

  • Oszust, M.: Enhanced Marine Predators Algorithm with Local Escaping Operator for Global Optimization, Knowledge-Based Systems, 232, 107467, 2021, Link DOI
  • Oszust, M., Sroka, G., Cymerys, K.: A hybridization approach with predicted solution candidates for improving population-based optimization algorithms, Information Sciences, 574, 133-161, 2021, Student co-authored this paper, Link DOI
  • Oszust, M., Krupski, J.: Isolated Sign Language Recognition with Depth Cameras, Procedia Computer Science, KES-2021 Szczecin, 192, 2085-2094, 2021, Student co-authored this paper. Link DOI
  • Sroka, G., Oszust, M.: Approximation of the Constant in a Markov-Type Inequality on a Simplex Using Meta-Heuristics, Mathematics, 9, 3, 264, 2021, Link DOI
  • Stępień, I., Obuchowicz, R., Piórkowski, A., Oszust, M.: Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment, Sensors, 21, 4, 1043, 2021, Link DOI
  • Rajchel, M. Oszust, M.: No-reference image quality assessment of authentically distorted images with global and local statistics. Signal, Image and Video Processing, 15, 83–91, 2021, Student co-authored this paper, Link DOI

  • Obuchowicz, R., Oszust, M., Piórkowski, A.: Interobserver variability in quality assessment of magnetic resonance images. BMC Medical Imaging, 2020, 20:109, Link DOI
  • Oszust, M., Piórkowski, A. Obuchowicz, R.: No-reference image quality assessment of magnetic resonance images with high-boost filtering and local features. Magnetic Resonance in Medicine, 2020 84:1648– 1660, Link DOI
  • Obuchowicz, R., Oszust, M., Bielecka, M., Bielecki, A., Piórkowski, A.: Magnetic Resonance Image Quality Assessment by Using Non-Maximum Suppression and Entropy Analysis. Entropy, 2020, 22(2), 220, Link DOI
  • Kamycki, K., Kapuscinski, T., Oszust, M.: Data Augmentation with Suboptimal Warping for Time-Series Classification. Sensors, 20, 98, 2020, Link DOI

  • Oszust, M.: No-Reference quality assessment of noisy images with local features and visual saliency models, Information Sciences, 482, pp. 334-349, 2019, Link DOI
  • Oszust, M.: Local Feature Descriptor and Derivative Filters for Blind Image Quality Assessment, IEEE Signal Processing Letters, 26, 2, pp. 322-326, 2019, Link DOI
  • Oszust, M.: No-Reference Image Quality Assessment with Local Gradient Orientations, Symmetry, 11 (1), 95, 2019, Link DOI
  • Kapuściński T., Marnik J., Oszust M., Warchoł D., Wysocki M.: „Układ wspomagający komunikowanie się osób głuchoniemych z osobami słyszącymi i sposób wspierania takiego komunikowania się” (in Polish), Patent Office of the Republic of Poland, Patent No. PL 231664 B1, 25.03.2019

  • Oszust, M.: No-reference image quality assessment with local features and high-order derivatives, Journal of Visual Communication and Image Representation, vol. 56, pp. 15-26, 2018, Link DOI
  • Oszust, M.: Optimized Filtering With Binary Descriptor for Blind Image Quality Assessment, IEEE Access, vol. 6, pp. 42917-42929, 2018, Link DOI
  • Oszust, M., Kapuscinski T., Warchol D., Wysocki M., Rogalski T., Pieniazek J., Kopecki G. H., Ciecinski P., Rzucidlo P.: A vision-based method for supporting autonomous aircraft landing, Aircraft Engineering and Aerospace Technology, vol. 90, no. 6, pp. 973-982, 2018, Link DOI

  • Oszust, M.: No-Reference Image Quality Assessment Using Image Statistics and Robust Feature Descriptors, IEEE Signal Processing Letters, vol. 24, issue 11, pp. 1656 - 1660, 2017, Link DOI
  • Oszust, M., Padjasek, J., Kasprzyk, P.: An approach to vision-based localisation with binary features for partially sighted people, Signal, Image and Video Processing, vol. 11, no. 7, pp. 1261–1269, 2017, Students co-authored this paper. PDF, Link DOI
  • Oszust, M.: A Binary Representation for Real-Valued, Local Feature Descriptors, Journal of Automation, Mobile Robotics & Intelligent Systems, JAMRIS, vol. 11, no. 1, pp. 3-9, 2017, PDF, Link DOI
  • Oszust, M.: Image quality assessment with lasso regression and pairwise score differences, Multimedia Tools and Applications, vol. 76, no. 11, pp. 13255–1327, 2017, PDF, Link DOI

  • Oszust, M.: BDSB: Binary Descriptor with Shared Pixel Blocks, Journal of Visual Communication and Image Representation, vol. 41, pp. 154-165, 2016, Link DOI
  • Oszust, M.: A Regression-Based Family of Measures for Full-Reference Image Quality Assessment, Measurement Science Review, vol. 16, issue 6, pp. 316–325, 2016, PDF, Link DOI
  • Oszust, M.: Full-Reference Image Quality Assessment with Linear Combination of Genetically Selected Quality Measures, PLoS ONE, vol. 11, no. 6, pp. 1-17, 2016, PDF, Link DOI
  • Oszust, M.: An optimisation approach to the design of a fast, compact and distinctive binary descriptor, Signal, Image and Video Processing, vol. 10, pp. 1401-1408, 2016, PDF, Link DOI
  • Oszust, M.: Towards binary robust fast features using the comparison of pixel blocks, Measurement Science and Technology, vol. 27, no. 3, pages 035402, 2016, Link DOI
  • Ribó A., Warchoł D., Oszust, M.: An Approach to Gesture Recognition with Skeletal Data Using Dynamic Time Warping and Nearest Neighbour Classifier, International Journal of Intelligent Systems and Applications, vol. 8, no. 6, pp. 1-8, 2016, Student co-authored this paper. (Ribó A., IAESTE programme), PDF, Link DOI
  • Ziomek A., Oszust, M.: Evaluation of Interest Point Detectors in Presence of Noise, International Journal of Intelligent Systems and Applications, vol. 8, no. 3, pp. 26-33, 2016, Student co-authored this paper., PDF, Link DOI
  • Oszust, M.: Decision Fusion for Image Quality Assessment using an Optimization Approach, IEEE Signal Processing Letters, vol. 23, issue 1, pp. 65-69, 2016, Link DOI

  • Oszust M., Kostka M.: Evaluation of Subspace Clustering Using Internal Validity Measures, Advances in Electrical and Computer Engineering, vol. 15, no. 3, pp. 141-146, 2015, Student co-authored this paper., PDF, Link DOI
  • Kapuściński T., Oszust M., Wysocki M., Warchoł D.: Recognition of Hand Gestures Observed by Depth Cameras, International Journal of Advanced Robotic Systems, vol. 12, no. 36, 2015, PDF, Link

  • Kapuściński T., Oszust M., Wysocki M.: Recognition of Dynamic Hand Gesture Observed by Depth Cameras, Workshop on Real-Time Gesture Recognition for Human Robot Interaction, IAS-13 13th Intl. Conf. on Intelligent Autonomous Systems, ISBN 978-88-95872-06-3, pp. 354-359, Padua, Italy, 2014
  • Oszust. M., Wysocki M.: Some Approaches to Recognition of Sign Language Dynamic Expressions with Kinect, Human-Computer Systems Interaction: Backgrounds and Applications 3, Hippe Z S., Kulikowski J. L., Mroczek T., Wtorek J., (Eds.), Advances in Intelligent Systems and Computing, vol. 300, pp. 75-86, Springer International Publishing, 2014, Link DOI
  • Oszust M., Wysocki M.: Recognition of signed expressions using visually-oriented subunits obtained by an immune-based optimisation. Int. J. of Data Mining, Modelling and Management, vol.6, no.2, pp. 202-216, 2014, Link DOI
  • Oszust M., Wysocki M.: Recognition of Signed Expressions Using Symbolic Aggregate Approximation. Artificial Intelligence and Soft Computing. Rutkowski L., Korytkowski M., Scherer R., Tadeusiewicz R., A. Zadeh L., M. Zurada J.,(Eds.), ICAISC 2014, vol. 8467, Lecture Notes in Computer Science, pp. 745-756. Springer International Publishing, 2014, Link DOI
  • Kapuściński T., Oszust. M., Wysocki M.: Hand Gesture Recognition using Time-of-Flight Camera and Viewpoint Feature Histogram, DPS 2013, Lecture Notes in Computer Science, vol. 230, pp. 403-414, Springer Berlin Heidelberg, 2014, Link DOI

  • Kapuściński T., Oszust. M., Wysocki M.: Recognition of Signed Dynamic Expressions Observed by ToF Camera, IEEE Conference on Signal Processing: Algorithms, Architectures, Arrangements, and Applications SPA 2013, pp. 291-296, IEEE Xplore 2013.
  • Oszust M., Wysocki M.: Recognition of Signed Expressions Observed by Kinect Sensor, 10-th IEEE International Conference on Advanced Video and Signal-Based Surveillance AVSS 2013, IEEE Xplore, pp. 220-225, 2013, Link
  • Oszust M.: Zastosowanie grupowania szeregów czasowych do rozpoznawania wypowiedzi w języku migowym na podstawie sekwencji wizyjnych (PhD thesis: Using clustering of time series for video-based recognition of signed expressions). Promotor w przewodzie doktorskim: dr hab. inż. Marian Wysocki, prof. n. PRz – Politechnika Rzeszowska. Recenzenci rozprawy doktorskiej: prof. dr hab. Stan Matwin – Dalhousie University, Halifax, Canada i dr hab. inż. Bogusław Cyganek – Akademia Górniczo-Hutnicza w Krakowie, lipiec 2013, Link
  • Oszust M., Wysocki M.: Clustering and Classification of Time Series Representing Sign Language Words. Artificial Intelligence and Soft Computing. Rutkowski L., Korytkowski M., Scherer R., Tadeusiewicz R., A. Zadeh L., M. Zurada J.,(Eds.), ICAISC 2013, vol. 7895, Lecture Notes in Computer Science, pp. 218-229, Springer Berlin Heidelberg, 2013, Link DOI
  • Oszust M., Wysocki M.: Polish Sign Language Words Recognition with Kinect, 6th International Conference on Human System Interaction (HSI'2013), (best paper award in area of human machine interaction), pp. 219-226 IEEE Xplore, ISBN 978-1-4673-5636-7, Sopot, Poland, 2013, Link

  • Oszust M., Wysocki M.: Modelling and Recognition of Signed Expressions Using Subunits Obtained by Data–Driven Approach. Ramsay A., Agre G., (Eds.), AIMSA, vol. 7557, Lecture Notes in Computer Science, pp. 315–324. Springer, 2012, Link pdf
  • Marnik J., Samolej S., Kapuściński T., Oszust M. and Wysocki M.: Using Computer Graphics, Vision, and Gesture Recognition Tools for Building Interactive Systems Supporting Therapy of Children, [in:] Hippe Z. S.; Kulikowski J.; Mroczek T.: Human – Computer Systems Interaction: Backgrounds and Applications 2. Advances in Intelligent and Soft Computing, Part 1, Vol. 98, pp. 539-553, ISBN 978-3-642-23186-5, 2012, Link

  • Wysocki M., Kapuściński T., Marnik J., Oszust M., Rozpoznawanie gestów wykonywanych rękami w systemie wizyjnym, Oficyna Wydawnicza Politechniki Rzeszowskiej, ISBN 978-83-7199-701-3, Rzeszów, 2011
  • Marnik J., Oszust M.: Rozpoznawanie statycznych gestów dłoni na potrzeby interfejsów człowiek-komputer, [w:] Trybus L., Samolej S.: Projektowanie, analiza i implementacja systemów czasu rzeczywistego, ISBN 978-83-206-1822-8, WKŁ. Warszawa, pp. 573 – 582, 2011

  • Oszust M., Wysocki M.: Recognition of Signed Expressions Using Visually–Oriented Subunits Obtained by an Immune–Based Optimization, T. Martin et al. (Eds.): International Conference of Soft Computing and Pattern Recognition, SoCPaR 2010, IEEE Conference Publications, Cergy Pontoise - Paris, France, pp. 41-46, 2010, Link DOI
  • Marnik J, Samolej S, Kapuściński T, Oszust M., Wysocki M.,Szczerba P. and Ogorzałek P.: Computer Vision and Graphics Based System for Interaction with Mentally and Physically Disabled Children, 3rd International Conference on Human System Interaction, HSI, Rzeszów, pp. 485-490, 2010 (best paper award in area of education and training), Student co-authored this paper., Link DOI
  • Oszust M., Wysocki M.: Determining Subunits for Sign Language Recognition by Evolutionary Cluster-Based Segmentation of Time Series, Rutkowski L. et al. (Eds.): Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, Springer-Verlag Berlin / Heidelberg pp. 189–196, 2010, Link pdf
  • Oszust M., Wysocki M.: Recognition of Signed Expressions Using Cluster-Based Segmentation of Time Series, Choras R. (Ed.): Image Processing and Communications Challenges 2, Advances in Soft Computing Springer-Verlag Berlin / Heidelberg, pp. 167-174, 2010, Link pdf

  • Oszust M., Wysocki M.: A Distributed Immune Algorithm for Solving Optimization Problems, Intelligent. Distributed Computing, Systems and Applications, Studies in Computational Intelligence Springer-Verlag Berlin / Heidelberg vol. 162, pp. 147-155, 2008, Link pdf
  • Oszust M., Wysocki M.: Zastosowanie algorytmów immunologicznych w rozpoznawaniu kształtu dłoni, "Diagnostyka procesów i systemów" pod red. J. Korbicza, K. Patana, M. Kowala, Wydawnictwo EXIT, pp. 173-180, 2007
  • Oszust M.: The agent-based environment oriented on implementation of immune algorithms Konferencja: 1st International Conference for Young Researchers In Computer Science, Control, Electrical Engineering and Telecommunications (ICYR), 18-20.09, Zielona Góra, Polska, 2006

Datasets

Image recognition
Polish Sign Language recognition tools and datasets

Interesting Links

Department of Computer and Control Engineering
Rzeszow University of Technology
Podkarpackie Centrum Edukacji Języka Migowego, Podkarpackie Stowarzyszenie Głuchych
Stowarzyszenie BRUNO