Connectionists: Special issue on Advances in Machine Learning and AI for Intelligent Control and Optimization - Call for Papers
Sean McLoone
s.mcloone at qub.ac.uk
Wed Jul 14 10:34:35 EDT 2021
*CALL FOR PAPERS*
Special issue of the IFAC/Elsevier Journal *Engineering Applications of
Artificial Intelligence *
Prospective authors are invited to submit their original unpublished
manuscripts for consideration for a special issue of the IFAC journal
Engineering Applications of Artificial Intelligence, organised by the
IFAC Technical Committee on Computational Intelligence and Control. *The
**theme of the special issue is Advances in Machine Learning and AI for
Intelligent Control and Optimisation*.
The constantly increasing availability of data, the rapid expansion in
computational and storage capacities of IT systems, and algorithmic
advances in Machine Learning, AI and Intelligent Control, are beginning
to have a huge impact in many areas of science and engineering. These
technologies have the potential to transform many sectors of our
society, from healthcare to manufacturing. However, many challenges
remain that are limiting their wide scale adoption, from dealing with
data quality and volume issues to achieving scalable and robust
solutions. This special issue invites contributions that address these
challenges and/or showcase the latest real-world applications and
enabling algorithmic advancements of Machine Learning and Intelligent
Control. Comprehensive tutorial and survey papers are also welcome.
We invite novel contributions that are based on (but not limited to) the
following topics as they pertain to system identification, intelligent
control, and optimisation of dynamical systems.
- Parsimonious and robust machine learning approaches
- Deep learning, transfer learning and adaption
- Machine learning approaches for sequence learning tasks
- Soft computing (Fuzzy logic, Neural Networks, Evolutionary
Algorithms, …)
- Reinforcement learning
- Computer vision
Application areas include autonomous vehicles, robotic systems,
human-machine collaboration, industry 4.0, smart grids, agriculture,
environmental systems, biomedical systems and assisted living technologies.
*Prospective authors are asked to notify the guest editors of their
intention to submit a paper **to the special issu**e* by sending the
title and a 200-word abstract to Seán McLoone (s.mcloone at qub.ac.uk), to
confirm the suitability of their contribution for the special issue and
to receive submission instructions.
*Deadline for full paper submission: *31 October 2021
*Guest editors*
Seán McLoone, Queen’s University Belfast, Northern Ireland,
s.mcloone at qub.ac.uk
Kevin Guelton, University of Reims Champagne Ardenne, France,
kevin.guelton at univ-reims.fr
Thierry Guerra, University of Valenciennes and Hainaut-Cambresis,
France, guerra at uphf.fr
Gian Antonio Susto, University of Padova, Italy, gianantonio.susto at unipd.it
Juš Kocijan, Jožef Stefan Institute and University of Nova Gorica,
Slovenia, jus.kocijan at ijs.si
Diego Romeres, Mitsubishi Electric Research Laboratories, USA,
romeres at merl.com
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