Special Session
Soft Computing Techniques: A Nature-Inspired Framework for more Advanced Artificial Intelligence -
SCT
2017
1 - 3 November, 2017 - Funchal, Madeira, Portugal
Within the 9th International Joint Conference on Computational Intelligence - IJCCI 2017
* CANCELLED *
CHAIR
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Oussama H. Hamid
University of Nottingham, Jubilee Campus, Wollaton Road, Nottingham, NG8 1BB, University of Nottingham
United Kingdom
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Brief Bio
Ousssama Hamid is a Research Fellow in Machine Learning for Data Analysis at the University of Nottingham (School of Computer Science) in the United Kingdom (UK). He is also an Accredited Researcher at the Office for National Statistics (ONS) in London, UK, a member of the IEEE Systems, Man, and Cybernetics (SMC) Technical Committee on Soft Computing and a member of the European Institute for Systems and Technologies, Control and Communications (INSTICC). In 2011, Oussama received a doctoral degree in Natural Sciences (Dr. rer. nat.) from the University of Magdeburg (Germany) for his research on the Role of Temporal Context in Human Reinforcement Learning. Since 2003, Dr. Hamid has been investigating both theoretical and methodological aspects of Human-Machine Interaction, Neural Network Functions, Cognitive Systems and Data Analytics. Dr. Hamid has published his research findings in several European and international refereed journals and conferences.
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SCOPE
Recent advances in artificial intelligence promote machines to emulate human-like abilities in a way that brings soft computing techniques into focus. What got experts excited about these developments is that one technique: ‘deep learning’, which is a modified version of artificial neural networks, has a wide range of applications. Domains in which soft computing techniques have the potential to advance artificial intelligence and affect the future of human-machine coexistence include, for example, image processing, pattern recognition, cognitive robotics, decision making, transportation, medical and financial applications.
This Special Session discusses the most recent advances in soft computing techniques from a cross-disciplinary perspective, encompassing theory, analysis, methods and applications. Contributions are solicited in all aspects of evolutionary, fuzzy, neural, and cognitive computations.
TOPICS:
Topics of interest include, but are not limited to:
- Fuzzy Controllers
- Fuzzy Systems Design
- Neuro-Fuzzy Systems
- Natural and Artificial Intelligence
- Artificial Neural Networks
- Swarm Intelligence
- Deep Learning
- Reinforcement Learning
- Statistical Learning
- Nature-Inspired Systems
- Human-Machine Interaction
- Brain-Computer Interface
- Cognitive Computing
- Business Models for Soft Computing Techniques
IMPORTANT DATES
Paper Submission:
September 1, 2017 (expired)
Authors Notification:
September 18, 2017 (expired)
Camera Ready and Registration:
September 25, 2017 (expired)
SPECIAL SESSION PROGRAM COMMITTEE
Wael El-Medany,
University of Bahrain, Bahrain
Katerina Kabassi,
Department Of Protection and Conservation of Cultural Heritage, Tei of the Ionian Islands, Greece
Tahira Mahboob,
FJWU, Pakistan
Colm O. Riordan,
School of Computer Science, National University of Ireland, Galway, Ireland
Sheir Zaheer,
KAIST, Korea, Republic of
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by Web of Science / Conference Proceedings Citation Index, DBLP, SCOPUS and EI.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library