Marcin Woźniak
Silesian University of Technology
Research areas: Computer Science · Computer Vision and Pattern Recognition · Advanced Neural Network Applications · Metaheuristic Optimization Algorithms Research · Image Retrieval and Classification Techniques
0000-0002-9073-5347
About
Marcin Wozniak received the M.Sc. degree in applied mathematics, the Ph.D. degree in computational intelligence, the D.Sc. degree in computational intelligence and Full Professor honours from the President of Poland. M. Wozniak is currently a Full Professor with the Faculty of Applied Mathematics, Silesian University of Technology. He is also a Dean of this faculty.
Prof Marcin Wozniak is a Scientific Supervisor in editions of EU Horizon MSCA fellowship grants. He is a Scientific Supervisor in editions of "Pearls of Science", "The Diamond Grant" and "The Best of the Best" programs for highly talented students from the Polish Ministry of Science and Higher Education. He participated in various scientific projects (as Lead Investigator, Scientific Investigator, Manager, Participant and Advisor) at Polish, Italian and Lithuanian universities and projects with applied results at IT industry both funded from the National Centre for Research and Development and abroad. He was a Visiting Researcher with universities in Italy, Sweden, and Germany.
He has authored/coauthored over 300 research papers in international conferences and journals. His current research interests include neural networks with their applications together with various aspects of fuzzy logic and control, applied computational intelligence accelerated by evolutionary computation and federated learning models.
In 2017 Prof Marcin Wozniak was awarded by the Polish Ministry of Science and Higher Education with a scholarship for an outstanding young scientist. In years 2021 and 2024 he received two awards from the Polish Ministry of Science and Higher Education for research achievements. In 2020, 2021, 2022, 2023, 2024 and 2025 Prof Marcin Wozniak was presented among "TOP 2% Scientists in the World" by Stanford University for his career achievements. Prof Marcin Wozniak is also presented among the Best Computer Science Scientists in Poland by Research.com.
Prof. Marcin Wozniak is the Editorial Board member or an Editor for Computers and Electrical Engineering, Machine Learning with Applications, Pattern Analysis and Applications, Biomedical Signal Processing and Control, Sensors. He also guest edit special issues ie. IEEE Journal Biomedical and Health Informatics, IEEE ACCESS, Measurement, Sustainable Energy Technologies and Assessments, Frontiers in Human Neuroscience, PeerJ CS, International Journal of Distributed Sensor Networks, Computational Intelligence and Neuroscience, Journal of Universal Computer Science, etc. Prof. Marcin Wozniak is/was a Session Chair at various international conferences and symposiums, including International Joint Conference on Neural Networks, IEEE Symposium Series on Computational Intelligence, IEEE Congress on Evolutionary Computation, etc.
Employment
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Silesian University of Technology Dean (Head of the Faculty)2024 - Present
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Silesian University of Technology Professor (Full Prof., D.Sc., Ph.D., Eng.)
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Silesian University of Technology Assoc. Professor (Prof. PŚ. D.Sc., Ph.D., Eng.)
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Silesian University of Technology Adiunct (Ph.D., Eng.)
Education
Education history is unavailable.
Projects & Funding
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Significant achievements in the field of scientific activity in 2021 Ministry of Science and Higher Education
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XGlucoNet++: A Transformer-Based, Explainable and Safe Decision Support System for Personalized Glycemic Control in Intensive Care Units European Commission
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Pro-quality grant 2024 The Rector of the Silesian University of Technology
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Artificial intelligence models based on neural networks in computer support for medical diagnostics The Rector of the Silesian University of Technology
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Generative Adversarial Networks in image generation The Rector of the Silesian University of Technology
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Computational Intelligence Methods for Computer Vision in Federated Learning Systems Ministry of Science and Higher Education
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Semantic and segmentation transformer networks in the description of parallel adaptive learning Ministry of Science and Higher Education
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Sequential neural networks based on Transfer Learning with a proprietary data augmentation algorithm Ministry of Science and Higher Education
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Significant achievements in the field of scientific activity in 2024 Ministry of Science and Higher Education
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Pro-quality grant 2023 The Rector of the Silesian University of Technology
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SMOOTHLI.AI – an intelligent tool that automates the image preparation steps for building machine learning models used in industrial processes Narodowe Centrum Badań i Rozwoju
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Dissemination of knowledge about algorithms and IT models through the "Algorytmion" competition Ministry of Science and Higher Education
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Pro-quality grant 2022 The Rector of the Silesian University of Technology
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SendGuard - an innovative tool based on Machine Learning and Artificial Intelligence technology to increase the safety of recipients to fight the problem of spam and phishing in e-mail marketing and transactional messages Narodowe Centrum Badań i Rozwoju
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Outstanding Young Scientist Ministry of Science and Higher Education
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Construction of detectors of features and shapes on the 2D images for use in decision support systems Ministry of Science and Higher Education
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Modeling of augmented reality systems with the use of artificial intelligence systems The Rector of the Silesian University of Technology
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Model of an artificial intelligence system to support the rapid detection of fungal, bacterial and viral infections of the lungs with particular emphasis on the detection of people infected with SARS-COV-2 The Rector of the Silesian University of Technology
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Parallel evolutionary computing in Python for asymmetric, uncorrelated big data The Rector of the Silesian University of Technology
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Pro-quality grant 2019 The Rector of the Silesian University of Technology
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Pro-quality grant 2021 The Rector of the Silesian University of Technology
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Pro-quality grant 2020 The Rector of the Silesian University of Technology
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Computational intelligence techniques in the analysis of biometric features from images and graphic files Ministry of Science and Higher Education
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Pro-quality grant 2018 The Rector of the Silesian University of Technology
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Methods for the analysis of key features and their versions parallelized for computer image processing systems Ministry of Science and Higher Education
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Pro-quality grant 2017 The Rector of the Silesian University of Technology
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RGH 2017 for perspective professors The Rector of the Silesian University of Technology
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Pro-quality grant 2016 The Rector of the Silesian University of Technology
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Two-dimensional image analysis and categorization of components using methods of artificial intelligence Ministry of Science and Higher Education
Publications (334)
- PDT-TCN: Prefix-Drop Temporal Convolutional Networks for Early Attack Detection in UAV-GCS Communications Save
- A Dual Sharing Strategy in Multi-Task Learning for Harmonic Signal Decomposition Save
- Data augmentation through angular–radial segmentation Save
- Mental illness text classification based on Late Fusion combining BERT with Apriori-informed Graph Attention Network Save
- A Centralized Federated Learning Framework with Security Aspects Against Byzantine and Sybil Attacks Save
- Segmented Medical Image Classification with Deep Convolutional Neural Networks Architectures for WBC Detection Save
- Correction: Li et al. FSDN-DETR: Enhancing Fuzzy Systems Adapter with DeNoising Anchor Boxes for Transfer Learning in Small Object Detection. Mathematics 2025, 13, 287 Save
- Fuzzy control system to improve the efficiency of the brushless direct current motor by correcting the control angle Save
- A fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification Save
- CLIP-guided continual novel class discovery Save
- FSDN-DETR: Enhancing Fuzzy Systems Adapter with DeNoising Anchor Boxes for Transfer Learning in Small Object Detection Save
- Explainable Cubic Attention-Based Autoencoder for Skin Cancer Classification Save
- Land Cover Classification for Identifying the Agriculture Fields Using Versions of YOLO V8 Save
- Swarm Optimization for Enhanced Random Forest-Based IoT Security Save
- Transformer Based Semantic Segmentation Network for Medical Imaging Application Save
- XAI-driven CatBoost multi-layer perceptron neural network for analyzing breast cancer Save
- Dynamic center point learning for multiple object tracking under Severe occlusions Save
- Fuzzy rules intelligent car real-time diagnostic system Save
- SAMT-generator: A second-attention for image captioning based on multi-stage transformer network Save
- Exploiting robust quadratic polynomial hyperchaotic map and pixel fusion strategy for efficient image encryption Save