Jacek M. Zurada

He has held visiting appointments at Swiss Federal Institute of Technology, Zurich, Princeton, Northeastern, Auburn, and at overseas universities in Australia, Chile, China, France, Germany, Hong Kong, Italy, Japan, Poland, Singapore, Spain, and South Africa.

His work has advanced fundamental understanding and integration of several relevant threads in neural networks and has introduced their modern taxonomy.

His more recent work has successfully addressed the lack of transparency and explanation capability due to the inherent black-box nature of neural networks.

His other achievements were in transparency of such deep learning architectures as auto-encoders and multilayer perceptrons with soft-max outputs and non-negative weights that can produce critical explanations.

He has published 450 journal and conference papers, authored or co-authored three books, including the pioneering neural networks text "Introduction to Artificial Neural Systems" (1992), and co-edited a number of volumes in Springer Lecture Notes in Computer Science.

II, Action Editor in Neural Networks (Elsevier) and served on the Editorial Board of the Proceedings of the IEEE.