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Marcin Woźniak
PeerJ Author & Reviewer
1,925 Points

Contributions by role

Author 100
Reviewer 120
Editor 1,705

Contributions by subject area

Adaptive and Self-Organizing Systems
Computer Vision
Spatial and Geographic Information Systems
Theory and Formal Methods
Artificial Intelligence
Data Mining and Machine Learning
Emerging Technologies
Security and Privacy
Natural Language and Speech
Network Science and Online Social Networks
Social Computing
Computer Aided Design
Algorithms and Analysis of Algorithms
Optimization Theory and Computation
Scientific Computing and Simulation
Bioinformatics
Human-Computer Interaction
Visual Analytics
Real-Time and Embedded Systems
Robotics
Data Science
Operating Systems
Distributed and Parallel Computing
Software Engineering
Neural Networks
Mobile and Ubiquitous Computing
Autonomous Systems
Computational Biology

Marcin Woźniak

PeerJ Author & Reviewer

Summary

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 a Scientific Supervisor in editions of "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 200 research papers in international conferences and journals. His current research interests include neural networks with their applications together with various aspects of applied computational intelligence accelerated by evolutionary computation and federated learning models. In 2017 he was awarded by the Polish Ministry of Science and Higher Education with a scholarship for an outstanding young scientist and in 2021 he received award from the Polish Ministry of Science and Higher Education for research achievements. From 2020 to 2023, each year Prof. M. Wozniak was presented among "TOP 2% Scientists in the World" by Stanford University for his career achievements. Prof. Wozniak was the Editorial Board member or an Editor for Sensors, Machine Learning with Applications, Pattern Analysis and Applications, 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., and a Session Chair at various international conferences and symposiums, including IEEE Symposium Series on Computational Intelligence, IEEE Congress on Evolutionary Computation, etc.

Agents & Multi-Agent Systems Algorithms & Analysis of Algorithms Artificial Intelligence Autonomous Systems Bioinformatics Brain-Computer Interface Computational Science Computer Aided Design Computer Networks & Communications Computer Vision Data Mining & Machine Learning Data Science Distributed & Parallel Computing Embedded Computing Graphics Human-Computer Interaction Mobile & Ubiquitous Computing Multimedia Optimization Theory & Computation Robotics Scientific Computing & Simulation Sensors

Past or current institution affiliations

Silesian Technical University of Gliwice

Work details

Full Prof., DSc., PhD., Eng.

Silesian University of Technology
Faculty of Applied Mathemtics

Websites

  • ResearcherID

PeerJ Contributions

  • Articles 1
  • Edited 9
December 22, 2021
Bankline detection of GF-3 SAR images based on shearlet
Zengguo Sun, Guodong Zhao, Marcin Woźniak, Rafał Scherer, Robertas Damaševičius
https://doi.org/10.7717/peerj-cs.611

Academic Editor on

January 25, 2024
Dipper throated optimization with deep convolutional neural network-based crop classification for remote sensing image analysis
Youseef Alotaibi, Brindha Rajendran, Geetha Rani K., Surendran Rajendran
https://doi.org/10.7717/peerj-cs.1828
May 18, 2021
Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators
Yuri Antonacci, Ludovico Minati, Luca Faes, Riccardo Pernice, Giandomenico Nollo, Jlenia Toppi, Antonio Pietrabissa, Laura Astolfi
https://doi.org/10.7717/peerj-cs.429
February 22, 2021
Performance analysis of lightweight CNN models to segment infectious lung tissues of COVID-19 cases from tomographic images
Tharun J. Iyer, Alex Noel Joseph Raj, Sushil Ghildiyal, Ruban Nersisson
https://doi.org/10.7717/peerj-cs.368
February 12, 2021
Correct and stable sorting for overflow streaming data with a limited storage size and a uniprocessor
Suluk Chaikhan, Suphakant Phimoltares, Chidchanok Lursinsap
https://doi.org/10.7717/peerj-cs.355
February 11, 2021
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease
Arpan Srivastava, Sonakshi Jain, Ryan Miranda, Shruti Patil, Sharnil Pandya, Ketan Kotecha
https://doi.org/10.7717/peerj-cs.369
January 25, 2021
Artificial neural network with Taguchi method for robust classification model to improve classification accuracy of breast cancer
Md Akizur Rahman, Ravie chandren Muniyandi, Dheeb Albashish, Md Mokhlesur Rahman, Opeyemi Lateef Usman
https://doi.org/10.7717/peerj-cs.344
December 18, 2020
Application of particle swarm optimization in optimal placement of tsunami sensors
Angelie Ferrolino, Renier Mendoza, Ikha Magdalena, Jose Ernie Lope
https://doi.org/10.7717/peerj-cs.333
November 23, 2020
Traffic signal coordination control along oversaturated two-way arterials
Haitao Xu, Zuozhang Zhuo, Jing Chen, Xujian Fang
https://doi.org/10.7717/peerj-cs.319
November 2, 2020
Real-time quintic Hermite interpolation for robot trajectory execution
Morten Lind
https://doi.org/10.7717/peerj-cs.304