Rate My Professor Hans Guesgen

Professor Hans Guesgen serves as Chair in Computer Science and Head of the Computer Science and Information Technology Group within the School of Mathematical and Computational Sciences at Massey University in Palmerston North, New Zealand. Originally from Germany, he immigrated to New Zealand after completing his advanced degrees: a Diploma in Computer Science from the University of Bonn, a doctorate (Dr. rer. nat.) in Computer Science from the University of Kaiserslautern with a focus on artificial intelligence, and a Habilitation (Dr. habil.) in Computer Science from the University of Hamburg. His professional career began as a research scientist at the German National Research Center for Computer Science (GMD) in Sankt Augustin from 1983 to 1992. He then held positions as Lecturer, Senior Lecturer, and Associate Professor at the University of Auckland from 1992 to 2007. Since 2007, he has been Professor of Computer Science at Massey University, serving as a doctoral supervisor and contributing to research initiatives including the Massey Geoinformatics Collaboratory.

Guesgen's research interests center on artificial intelligence, particularly in spatio-temporal reasoning, smart environments, ambient intelligence, ambient computing, qualitative spatial reasoning, human activity recognition using sensor data, brain-computer interfaces, and assistive technologies. He has authored three books, such as "A Perspective of Constraint-Based Reasoning: An Introductory Tutorial" (Lecture Notes in Computer Science, 1992), and more than 100 refereed publications in journals and conference proceedings. Selected key publications include "Using Rough Sets to Improve Activity Recognition Based on Sensor Data" (Sensors, 2020), "Predicting Activities of Daily Living with Spatio-Temporal Information" (Future Internet, 2020), "A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface" (Sensors, 2021), "Incremental Learning of Human Activities in Smart Homes" (Sensors, 2022), "Computational representation and analysis of emotion dynamics" (Multimedia Tools and Applications, 2022), "Common spatial pattern for classification of loving kindness meditation EEG for single and multiple sessions" (Brain Informatics, 2023), and "Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipeline" (Brain Informatics, 2025). He is a Senior Member of the Association for the Advancement of Artificial Intelligence (AAAI) since 2011.