The 26th ACM Symposium on Document Engineering
August 25, 2026 to August 28, 2026
HES-SO / University of Fribourg, Switzerland
Programme
The detailed programme for DocEng 2026 will be announced following the paper review process.
Conference Format
DocEng is a single-track conference. The symposium will run from Tuesday, August 25 to Friday, August 28, 2026.
Day 1 – Tuesday, August 25
Workshops and tutorials
Days 2-4 – Wednesday, August 26 to Friday, August 28
Main conference programme including paper presentations, demonstrations, and poster sessions.
Programme Components
- Keynote presentations
- Full paper sessions
- Short paper sessions
- Demonstration sessions
- Poster sessions
- Coffee breaks and networking opportunities
- Social events
Keynotes
DocEng'26 is delighted to announce its keynote speakers.
Keynote 1
Explainable Document Analysis for Domain Experts: Combining Deep Learning with Rule-Based Methods
Prof. Dr. Andreas Fischer
University of Fribourg
Abstract
Abstract to be announced.
Biography
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).
Keynote 2
Title to be announced
Dr. Peter Staar
IBM Research Zürich
Abstract
Abstract to be announced.
Biography
Peter Staar manages the 'AI for Knowledge' group at the IBM Research - Zurich Laboratory. The group focuses on the development of the Deep Search platform, which consists of cloud native services that ingest large corpora of technical documents and extracts the knowledge contained in them.
Peter joined the IBM Research - Zurich Laboratory in July of 2014 as a post-doctoral researcher. The Belgium-born scientist first came to IBM Research as a summer student in 2006. Prior to joining IBM Research, he was a post-doctoral researcher in Theoretical Physics and PASC (Platform for Advanced Scientific Computing) at the Swiss Federal Institute of Technology (ETH) in Zurich, Switzerland.
Peter won the prestigious ACM Gordon Bell award in 2015. Other significant academic achievements include 'Best Paper Award' at IPDPS 2016 (for novel, linear-scaling graph analytics) and 'Applied AI Application Award' at IAAI 2021 (for novel PDF document conversion ML models).
Peter leads the technical steering committee of Docling, the leading open-source AI framework for document processing, manipulation and generation.
Important Dates
For submission deadlines, please see the Call for Papers page.
Programme details will be published following the completion of the peer review process.