Detlef D. Nauck

Dr. Detlef D. Nauck is a Chief Research Scientist and Technical Group Leader at BT Group's Intelligent Systems Research Centre, and a Visiting Senior Lecturer at Otto-von-Guericke University of Magdeburg's Faculty of Computer Science. His career spans both academic and industrial research environments, with significant contributions to Neuro-Fuzzy Systems and interpretable artificial intelligence.

His academic foundation includes:

• Master's degree in Computer Science (1990) from Technical University of Braunschweig
• Ph.D. in Computer Science (1994) from Technical University of Braunschweig
• Habilitation in Computer Science (2000) from Otto-von-Guericke University of Magdeburg

Dr. Nauck's research focuses on creating transparent AI systems that combine neural networks' learning capabilities with fuzzy logic's interpretability. His work addresses critical challenges in data analysis, particularly in handling mixed data types, missing values, and symbolic attributes while maintaining model transparency. He has developed practical applications across various domains where understanding decision processes is as important as the decisions themselves.

His publication record shows consistent evolution from foundational work on neuro-fuzzy controllers to advanced applications in data mining and knowledge discovery. The research demonstrates a clear progression toward increasingly complex data analysis challenges while maintaining the core principle of model interpretability.

Professional recognition includes:

• Author of the influential book 'Foundations of Neuro-Fuzzy Systems' (Wiley, 1997)
• Development of NEFCLASS, a widely recognized framework for interpretable classification
• Extensive contributions to both theoretical and applied aspects of soft computing
• Significant impact on the field through numerous tutorials and conference presentations

Dr. Nauck maintains an active research program that bridges academic theory and industrial application. His dual affiliation allows him to contribute to practical implementations of intelligent systems at BT Group while mentoring the next generation of researchers through his academic position.

He leads research in the Neural Networks and Fuzzy Systems group at Otto-von-Guericke University, accessible through their website at http://fuzzy.cs.uni-magdeburg.de, continuing to advance the field of interpretable artificial intelligence with practical relevance.