The 26^th ACM Symposium on Document Engineering

Abstract to be announced.

Andreas Fischer is Full Professor at the University of Fribourg, Switzerland, in the Department of Informatics, where he leads the research group on AI for the Benefit of Human Experts (AIBEX).

He obtained his PhD at the University of Bern, conducted postdoctoral research at Concordia University and Polytechnique Montréal, and held, prior to his appointment, a combined position in Fribourg as Lecturer at the University of Fribourg and as Professor at the School of Engineering and Architecture of Fribourg.

Andreas Fischer's research interests include deep learning, pattern recognition, document analysis, handwriting recognition, digital humanities, and digital pathology. He has published over 120 peer-reviewed articles in international journals and conference proceedings on these topics.

Andreas Fischer is a member of the governing board of the International Association of Pattern Recognition (IAPR), where he represents Switzerland, and Chair of the IAPR technical committee on reading systems (TC11).

Abstract to be announced.

Ralf Herbrich is Professor in Computer Science at Hasso Plattner Institute and the University of Potsdam, where he chairs the research group on Artificial Intelligence and Sustainability.

He studied at Technical University of Berlin, earning a Diploma degree in Computer Science with focus on Computer Graphics and Artificial Intelligence in 1997, and a PhD degree in Theoretical Statistics in 2000. For the past 25 years, he has worked in both basic and applied science at Microsoft, Facebook, Amazon, and Zalando.

His research interests include approximate computing, Bayesian inference and decision making, game theory, information retrieval, natural language processing, computer vision, distributed systems, learning theory, and knowledge representation and reasoning. He has published over 80 peer-reviewed conference and journal papers in these fields.