PhD in Computer Science Tomasz Andrysiak

Expert | AI, Anomaly Detection & Computational Intelligence

Tomasz Andrysiak, DSc, PhD, is a Expert and a Professor at Bydgoszcz University of Science and Technology. He has more than 30 years of academic, research, R&D, and technology-implementation experience in artificial intelligence, computational intelligence, signal processing, anomaly detection, cybersecurity, and complex information systems.

His research focuses on machine-learning and computational-intelligence methods for analyzing signals, time series, network traffic, industrial data, and multimodal datasets. He specializes in anomaly and failure detection, predictive modeling, intelligent monitoring, critical-infrastructure security, smart metering, biomedical signal analysis, and the practical deployment of AI in industrial and public-sector systems.

Tomasz is the author or co-author of more than 75 scientific publications, including papers published in internationally recognized journals and conference proceedings indexed by Web of Science and Scopus. His research has covered network anomaly detection, cybersecurity of critical infrastructure, ECG signal analysis, machine learning, smart water networks, telecommunications, and intelligent industrial systems.

He has led and contributed to national and European R&D programs focused on cyber situational awareness, critical-infrastructure resilience, autonomous systems, Big Data, intelligent water management, blockchain-based transaction platforms, and industrial AI. He leads industrial-doctorate projects involving AI-based CMDB automation and machine-learning methods for knowledge discovery in Big Data.

Tomasz is an IEEE Senior Member and has served as an elected member of the Commission of Informatics and Automation of the Polish Academy of Sciences, Poznań Branch. He has participated in scientific committees and journal boards, supervised doctoral research, reviewed publications for international journals, and co-authored patents and patent applications related to signal detection and LoRa-based ECG monitoring. He writes about industrial AI, machine learning, anomaly detection, predictive analytics, cybersecurity, signal processing, time-series analysis, and intelligent infrastructure.

Tomasz Andrysiak's academic profiles:

https://link.springer.com/chapter/10.1007/978-3-642-32384-3_28
https://www.researchgate.net/profile/Tomasz-Andrysiak
https://scholar.google.com/citations?user=RHW7zx4AAAAJ&hl=pl
https://dblp.org/pid/41/6793.html
https://radon.nauka.gov.pl/dane/profil/6FFA1E51186802ECFFB49644209B5BE0EBD68C55
https://pbs.edu.pl/pl/pracownik/tomasz-andrysiak
https://www.youtube.com/watch?v=6e1GTqT5czM

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