Dr. Grzegorz Kłosowski is an assistant professor in the Department of Enterprise Organization, Faculty of Management, Lublin University of Technology, Lublin, Poland. He completed his Doctoral studies in the Construction and Exploitation of Machines at Lublin University of Technology in 2010. Dr. Kłosowski's main research interests include modeling and optimization of engineering processes with the use of the following methods: artificial intelligence, machine learning, artificial neural networks, deep learning, convolutional neural networks, autoencoders, fuzzy logic, genetic algorithms, statistical methods (lasso, elastic net), etc.
Lublin University of Technology
Lublin, Lubelskie, Poland
Faculty of Management
Sensors 2020 Best Paper Awards
Sensors Editorial Office MDPI, St. Alban-Anlage 66 CH-4052, Basel, Switzerland
Original Research Article Award for A Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze the Moisture of Buildings by Tomasz Rymarczyk, Grzegorz Kłosowski and Edward Kozłowski, Sensors 2018, 18, 2285, doi:10.3390/s18072285. Nominations were chosen from all papers published between 1 January and 31 December 2018. The Selection Committee examined each paper and expressed their preferences, releasing the ranking of the Sensors 2020 Best Paper Awards.
BEST PAPER AWARD 2020
EKSPLOATACJA I NIEZAWODNOŚĆ - MAINTENANCE AND RELIABILITY
Award for Tomasz RYMARCZYK and Grzegorz KŁOSOWSKI authors of the article entitled Application of neural reconstruction of tomographic images in the problem of reliability of flood protection facilities times cited in total: 41, times cited in 2019: 22 which according to the Web of Science Core Collection was the most highly cited article in 2019 among 240 other articles published in the years 2017-2019 by the journal Eksploatacja i Niezawodność – Maintenance and Reliability.