Tomasz Wiktorski

Tomasz Wiktorski is a Professor at the Faculty of Science and Technology, University of Stavanger, where he serves as Study Program Manager for MSc and PhD programs in Computer Science and Data Science. His research integrates conventional time series analysis with deep learning for applications in biomedical data (e.g., wearable devices), oil and gas drilling automation, energy systems prediction, and cloud infrastructure optimization.

• Education: Not explicitly detailed in the text.

Research interests span data-intensive system modeling, focusing on:

• Biomedical time series analysis (wearables, ECG signal correction)
• Drilling process optimization via transfer learning and temporal models
• Energy systems prediction using machine learning
• Cloud infrastructure monitoring
• Curriculum development in data science education

Scientific trends reveal expertise in recurrent neural networks, support vector machines, and hybrid data modeling for sensor networks across domains like health, petroleum, and cloud computing.

Leadership includes designing data science programs and contributing to the EDISON Data Science Framework for global standards.