About
Jari Turunen is a University Lecturer in Computing Sciences at Tampere University. His expertise spans signal processing, environmental safety analysis, and machine learning applications. He holds a Doctor of Science (Technology) in Information Technology (2003) and a Vocational Teacher qualification (2016) from Tampere University of Applied Sciences.
His research focuses on sensitivity analysis of radionuclide transport models, environmental risk assessment, and 3D data economy applications. Notable contributions include neural network surrogate models for geochemical process emulation and studies on post-glacial land uplift in Fennoscandia.
Turunen has supervised multiple master's theses in data warehouse methodology and telecom revenue analysis. He actively reviews for journals like Journal of Urban Planning and Development and collaborates internationally on topics such as radioactive waste safety analysis and industrial data utilization.
