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<p>Dear colleagues</p>
<p>It is our pleasure to announce a call for papers for a special
issue of the IFAC/Elsevier Journal Engineering Applications of
Artificial Intelligence on <b>'<a moz-do-not-send="true" href="https://www.journals.elsevier.com/engineering-applications-of-artificial-intelligence/call-for-papers/intelligent-control-and-optimisation">Intelligent
Control and Optimisation</a>'</b>.</p>
<p><b>Deadline for full paper submission: </b>31 July 2021</p>
Prospective authors are invited to submit their original unpublished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. <b>The </b><b>theme of the special issue
is Advances in Machine Learning and AI for Intelligent Control and
Optimisation</b>.
<p>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.</p>
<p>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.</p>
- Parsimonious and robust machine learning approaches<br>
- Deep learning, transfer learning and adaption<br>
- Machine learning approaches for sequence learning tasks<br>
- Soft computing (Fuzzy logic, Neural Networks, Evolutionary
Algorithms, …)<br>
- Reinforcement learning<br>
- Computer vision<br>
<p>Application areas include autonomous vehicles, robotic systems,
human-machine collaboration, industry 4.0, smart grids,
agriculture, environmental systems, biomedical systems and
assisted living technologies. </p>
<p><b>Prospective authors are asked to notify the guest editors of
their intention to submit a paper </b><b>to the special issu</b><b>e</b>
by sending the title and a 200-word abstract to Seán McLoone (<a class="moz-txt-link-abbreviated" href="mailto:s.mcloone@qub.ac.uk" moz-do-not-send="true">s.mcloone@qub.ac.uk</a>),
to confirm the suitability of their contribution for the special
issue and to receive submission instructions.</p>
<p>Regards<br>
</p>
<b>Guest editors</b><br>
Seán McLoone, Queen’s University Belfast, Northern Ireland, <a class="moz-txt-link-abbreviated" href="mailto:s.mcloone@qub.ac.uk" moz-do-not-send="true">s.mcloone@qub.ac.uk</a><br>
Kevin Guelton, University of Reims Champagne Ardenne, France, <a class="moz-txt-link-abbreviated" href="mailto:kevin.guelton@univ-reims.fr" moz-do-not-send="true">kevin.guelton@univ-reims.fr</a><br>
Thierry Guerra, University of Valenciennes and Hainaut-Cambresis,
France, <a class="moz-txt-link-abbreviated" href="mailto:guerra@uphf.fr" moz-do-not-send="true">guerra@uphf.fr</a><br>
Gian Antonio Susto, University of Padova, Italy, <a class="moz-txt-link-abbreviated" href="mailto:gianantonio.susto@unipd.it" moz-do-not-send="true">gianantonio.susto@unipd.it</a><br>
Juš Kocijan, Jožef Stefan Institute and University of Nova Gorica,
Slovenia, <a class="moz-txt-link-abbreviated" href="mailto:jus.kocijan@ijs.si" moz-do-not-send="true">jus.kocijan@ijs.si</a><br>
Diego Romeres, Mitsubishi Electric Research Laboratories, USA, <a class="moz-txt-link-abbreviated" href="mailto:romeres@merl.com" moz-do-not-send="true">romeres@merl.com</a>
<pre class="moz-signature" cols="72">--
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Prof. Seán McLoone
Director, Centre for Intelligent Autonomous Manufacturing Systems (i-AMS)
Director, Energy, Power and Intelligent Control Research Centre
School of Electronics, Electrical Engineering and Computer Science
Queen's University Belfast
Ashby Building, Stranmillis Road
Belfast BT9 5AH
Tel: +44 (0) 28 9097 4125
Email: <a class="moz-txt-link-abbreviated" href="mailto:s.mcloone@qub.ac.uk" moz-do-not-send="true">s.mcloone@qub.ac.uk</a>
Web: <a class="moz-txt-link-freetext" href="http://www.qub.ac.uk/icons2019" moz-do-not-send="true">http://www.qub.ac.uk/icons2019</a>
Web: <a class="moz-txt-link-freetext" href="http://www.qub.ac.uk/iams" moz-do-not-send="true">http://www.qub.ac.uk/iams</a>
Web: <a class="moz-txt-link-freetext" href="http://www.qub.ac.uk/epic" moz-do-not-send="true">http://www.qub.ac.uk/epic</a>
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