During the autumn of 2022 (October 18th – November 18th), ELLIIT and Linköping University are hosting a 5-week focus period on Hybrid AI – Where data-driven and model-based methods meet. Specific topics are optimisation for learning, learning for optimisation, and statistical-relational approaches to planning, control and decision-making.

The focus period will gather leading and younger international scholars together with ELLIIT and LiU researchers in Linköping to work jointly on these research challenges. The focus period provides an environment for networking through seminars, courses, joint activities, and informal day-to-day interaction, with the aim of initializing collaborations, formulating novel research challenges and do joint research on exciting topics. The focus period will be divided into two parts, each overlapping with a workshop between the 31st of October and the 2nd of November in-between them.

During the focus period, established and promising early career researchers will be invited to stay in the research environments at LiU for 3-5 weeks. There will be daily seminars with the visiting scholars on campus, as well as opportunities for meetings and collaborations with local researchers.

More information about the focus period activities, including the three-day workshop, will be presented continuously here at the ELLIIT webpage: Focus Period Linköping 2022: Hybrid AI – Where data-driven and model-based methods meet.

You now have the opportunity to nominate international researchers as visiting scholars for the ELLIIT focus period on Hybrid AI. Please send your nomination, including a CV, at latest on the 25th of May, to tove.kvarnstrom@liu.se.

In connection with the focus period there will be a topical collection hosted by the Spinger journal Operations Research Forum. The main purpose of this topical collection is to encourage publications from interdisciplinary work initiated during the focus period, but other contributions addressing hybrid AI within the intersection between machine learning, optimisation and automatic control are also welcome. Submission Deadline: March 15th, 2023. To Call for Papers: Hybrid AI – Where data-driven and model-based methods meet

The organizing committee
Fredrik Heintz, Linköping University
Anders Hansson, Linköping University
Tove Kvarnström, Linköping University
Elina Rönnberg, Linköping University

The scientific committee
Tamer Başar, The University of Illinois at Urbana-Champaign
Hector Geffner, Universitat Pompeu Fabra
Marco Lübbecke, RWTH Aachen University
Michela Milano, University of Bologna
Richard M. Murray, Caltech
Panos M. Pardalos, University of Florida
Luc de Raedt, KU Leuven
Anders Rantzer, Lund University
Ben Recht, Berkeley
Dolores Romero Morales, Copenhagen Business School
Louis-Martin Rousseau, Polytechnique Montréal
Marc Schoenauer, Inria
Lieven Vandenberghe, UCLA
Neil Yorke-Smith, TU Delft