Computational Intelligence for Cognitive-Cyber-Physical Autonomous Systems - 2018

CI-C2PAS


Aim and Scope

Computational Intelligence Techniques have been very successful at the interaction of cognitive-cyber-physical autonomous systems. CI techniques have been used for technologies sitting at the human-machine interface to analyse the interaction between the cognitive and cyber domain. Equally, CI has been successful for cyber security and physical robotics such as autonomous vehicles and unmanned aerial systems. The aim of this special session is to bring together success stories in theory and applications of CI techniques in the C2P domain and to showcase recent advances in these fast emerging research areas.

Research Topics

Important Dates

The important dates for the special session are exactly the same as the main conference and can be accessed at WCCI 2018 Important Dates

Submission

Papers submitted to this hybrid special session will appear in the IJCNN proceedings. Please submit your paper to IJCNN and follow the instructions at WCCI Paper Instructions

Organisers

Hussein A. Abbass, University of New South Wales, Canberra, Australia

Hussein Abbass is a full Professor with the University of New South Wales, Canberra Campus, Australia. Prof. Abbass is a fellow of the UK Operational Research Society and a fellow of the Australian Computer Society. He is the Vice-President for Technical Activities (2016-2019) for IEEE-CIS and the National President (2016-) for the Australian Society for Operations Research. He is an Associate Editor of six international journals, including the IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Computational Social Systems, and the IEEE Transactions on Cybernetics, and has published 200+ refereed papers. His research applies computational intelligence techniques to Trusted Autonomous Systems, Human-Swarm Teaming, and Cognitive Cyber Symbiosis

Jianhua Ma, Hosei University, Japan

Jianhua Ma is a professor in the Faculty of Computer and Information Sciences, Hosei University, Japan. He served as the head of Digital Media Department of Hosei University in 2011-2012. His research interests include multimedia, networking, ubiquitous/pervasive computing, social computing, wearable technology, IoT, cyber life and cyber intelligence. Ma is one of pioneers in research on Hyper World and Cyber World (CW) since 1996, and was a co-initiator of the first international symposium on Cyber World in 2002. He first envisioned ubiquitous intelligence (UI) towards a smart world (SW) in 2004, which was featured in the European ID People Magazine in 2005. He has conducted several unique CW-related projects including the cyber individual (Cyber-I), which was highlighted on the front page of IEEE Computing Now in 2011. Ma has published more than 300 papers, co-authored/edited over 15 books and 30 journal special issues, and delivered over 30 keynote speeches at international conferences. He has founded three IEEE Congresses on 'Smart World', 'Cybermatics', and 'Cyber Science and Technology', respectively, as well as IEEE Conferences on Ubiquitous Intelligence and Computing (UIC), Pervasive Intelligence and Computing (PICom), Autonomic and Trusted Computing (ATC), Dependable, Autonomic and Secure Computing (DASC), Cyber Physical and Social Computing (CPSCom), Internet of Things (iThings), and Internet of People (IoP). He is a Chair of IEEE SMC Technical Committee on Cybermatics, and a Chair of IEEE CIS Technical Committee on Smart World.

Manuel Roveri, Politecnico di Milano, Italy

Manuel Roveri is an Associate Professor at the Dipartimento di Elettronica, Informazione e Bioingegneria of the Politecnico di Milano, Italy. His research interests include intelligent embedded and cyber-physical systems, computational intelligence and adaptive algorithms. Manuel Roveri is an Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems. He is also Chair of the IEEE CIS Neural Networks Technical Committee (NNTC), of the IEEE CIS Task Force on Intelligent Cyber-Physical Systems and of the IEEE CIS Pre-College Activities Subcommittee. He is also member of the IEEE CIS Smart World TC, IEEE CIS Data Mining and Big Data Analytics TC, IEEE CIS Student Activities Subcommittee and IEEE CIS Senior Members Program. He is the recipient of the 2018 IEEE Computational Intelligence Magazine "Outstanding Paper Award", of the 2016 IEEE Computational Intelligence Society "Outstanding Transactions on Neural Networks and Learning Systems Paper Award" and the Best Regular Paper Award at the INNS Conference on Big Data 2016.

Christian Wagner, Nottingham, UK

Christian Wagner is an Associate Professor in Computer Science at the University of Nottingham, UK. His research focuses on modelling & handling of uncertain data arising both from qualitative (people) and quantitative sources (eg sensors, processes), decision support systems and data-driven policy design; frequently in an inter-disciplinary setting. He has published around 100 peer-reviewed articles, including prize-winning papers in international journals and conferences. He is Director of the Lab for Uncertainty in Data and Decision Making (LUCID) with which he and his collaborators recently became runners-up for -both- the best regular and best student papers at the IEEE International Conference on Fuzzy Systems 2016 in Vancouver, Canada. He has attracted over US$10 million as principal and co-investigator in the last 6 years. He is an Associate Editor of the IEEE Transactions on Fuzzy Systems journal, is Chair of the IEEE CIS Task Force on Cyber Security and an elected member of the IEEE Computational Intelligence Society (CIS) Administrative Committee for 2018-2010. Dr Wagner is actively engaged in the academic community, including through the organisation of special sessions and tutorials at premiere IEEE conferences. He has co/developed multiple open source software frameworks, making cutting edge research accessible both to peer researchers as well as to different research communities beyond computer science, including an R toolkit for type-2 fuzzy systems and a new Java based framework for the object oriented implementation of general type-2 fuzzy sets and systems. His current research projects focus on the development, adaptation, deployment and evaluation of artificial intelligence techniques in inter-disciplinary projects bringing together heterogeneous data from stakeholders and quantitative measurements to support informed and transparent decision making in cyber security, environmental management and manufacturing.