Rate My Professor Hang Zettervall

Hang Zettervall serves as Senior Lecturer at Mälardalen University in the Department of Business and Mathematics. He is part of the MAM research environment, which includes all teachers, researchers, and PhD students in Mathematics and Applied Mathematics at the university within the School of Education, Culture and Communication. Zettervall contributes to undergraduate mathematics education, acting as an examiner and constructor for courses such as MAA152 Linear Algebra, as well as other mathematics examinations including Math2415 and advanced problem sets. He supervises and examines bachelor's theses on applied topics, for example, 'Circular Economy Optimizations for Plastic Bag Recycling and Reuse' (2025, examiner), 'Benford's Law: Analysis of the trustworthiness of COVID-19 reporting in the context of different political regimes' (2021, examiner), and similar projects demonstrating practical applications of mathematical methods.

Zettervall's academic background features a PhD from Blekinge Institute of Technology, Karlskrona, Sweden, completed in 2014 with the dissertation 'Fuzzy Set Theory Applied to Make Medical Prognoses for Cancer Patients.' Prior to his role at Mälardalen University, he was employed at Blekinge Institute of Technology's Department of Mathematics and Science, where he pursued doctoral studies and published on fuzzy computing. His research specializations encompass fuzzy set theory, Mamdani controllers, group decision-making models, and approximate reasoning applied to medical prognoses and environmental modeling. Key publications include 'The Mamdani Controller in Prediction of the Survival Length in Elderly Gastric Patients' (2011, with Elisabeth Rakus-Andersson and Henrik Forssell, International Conference on Health Informatics); 'A Fuzzy Group-Decision Making Model Applied to the Choice of the Best Strategy in a Two-Player Game' (2010, International Journal of General Systems, with Rakus-Andersson and Maria Erman); 'A Fuzzy Model of Heavy Metal Loadings in Marine Environment' (2010, with Rakus-Andersson and M. Erman); 'Fuzzified Clustering and Point Set Continuous Deformation in Surgical Planning' (2014, with Rakus-Andersson); and 'Fuzzy and Rough Set Theory in Treatment of Elderly Gastric Cancer Patients' (2011 licentiate thesis). These contributions apply soft computing techniques to handle uncertainty in healthcare predictions and decision processes.