The following paper tracks will be organized to address the emerging research areas of cyberworlds.

Submission categories are the same as for all tracks and include full papers (up to 8 pages), short papers (up to 4 pages), and poster papers (up to 4 pages). In the conference proceedings, each track will have its own section with all the accepted papers. Only full papers will be considered by the special journal issues.


Chair: Alexei Sourin (Nanyang Technological UniversitySingapore )

Created intentionally or spontaneously, cyberworlds are information spaces and communities that use computer technologies to augment the way we interact, participate in business and receive information throughout the world. As information worlds, they accumulate information regardless whether or not anyone is in, and they can be with or without 2D or 3D visual graphics appearance. The examples of such cyberworlds are communities created in different social networking services, 3D shared virtual environments,  and multiplayer online games. Cyberworlds are closely related to the real world and have a serious impact on it. Cyberworlds have been created and applied in such areas as e-business, e-commerce, e-manufacturing, e-learning, e-medicine, and cultural heritage, etc. Cyberworlds augment and sometimes replace the real life and become a significant component of real economy. We invite papers in the following topics and beyond:

  • Applications of virtual and augmented reality
  • Networked and shared virtual worlds
  • Virtual collaborative spaces
  • Shape modeling for cyberworlds
  • Virtual humans and avatars
  • Multimodal interaction and rendering
  • Computer vision for augmented and mixed reality
  • Social computing
  • Online communities
  • Cyber-learning
  • Multi-user web games
  • Art and heritage in cyberspace
  • Cyber-museums
  • Cyberethics and cyberlaws
  • Welfare in cyberworlds
  • Data mining and warehousing in cyberworlds
  • Visual analytics in cyberworlds


Chairs: Olga Sourina (Fraunhofer Singapore ), Reinhold Scherer (Graz University of Technology, Austria ) and Anastasios Bezerianos (National University of Singapore )

Humans are a center of interaction in Cyberworlds. Cognitive human-machine interaction research takes a central role in building of the shared digital worlds around the humans to support them in everyday modern life: working, learning, moving, communicating, shoping, entertaining, taking care of health, etc. One of the emerging areas in human-computer interaction is using of Electroencephalogram (EEG) both for direct interaction with machines and for research on human-computer interaction. Mobile BCI applications have attracted recently more attention from the research community and industry as wireless portable EEG devices became easily available on the market. By utilizing such systems, true understanding of human-machine interaction pattern can be obtained.  In this track, we invite works in the area on human-machine interaction that include but not limited the following research areas:

  • Cognitive informatics
  • Cognitive health
  • Human factors in transportation, maritime, industry 4.0
  • Neurorehabilitation and neuroplasticity
  • Affective computing
  • Mobile BCI
  • Machine and deep learning for EEG-based algorithms
  • Multi-modal Interfaces
  • Neurofeedback systems and games

Special Session: Mobile and adaptive BCIs
Special session organised by Reinhold Scherer, Institute of Neural Engineering,
Graz University of Technology Austria

BCI technology allows for translating thoughts into actions. Motivation for the development of BCIs is to enable physically disabled people to lead an independent life again. Consequently, BCIs are most useful when deployed in natural, real life situations. Most of the BCI research today, however, is carried out in laboratory. Moreover, gaining BCI control typically requires training of both brain and machine. Brain signals are non-stationary and inherently variable over time, both within and between persons. Mutual co-adaptation of brain and machine is seen as one key aspect or concept for the optimization of the BCI feedback loop. This special session will address and discuss fundamental issues, and novel methods and approaches towards mobile and adaptive BCIs.

Special Session: Machine-assisted cognitive enhancement
Special session organised by Khng Kiat Hui, National Institute of Education, Singapore
Findings on neuroplasticity in the recent years have engendered a surge of interest in cognitive training and enhancement. From adaptive computer games to neurofeedback training, the new wave of human cognitive hardware upgrading has been boosted by technological advancements, including developments in neuroimaging, such as mobile EEG, that allows online cognitive monitoring to be brought out of the laboratory and into field settings such as classrooms. This session will feature works focused on enhancing cognitive functioning, with the use of technology to assist with cognitive training, remediation, rehabilitation, or validation. Although educationally-relevant applications are of primary interest, works across broad interdisciplinary applications and involving diverse technological platforms are welcome.

Special Session: Emotion artificial intelligence
Special session organised by Liu Yisi, Fraunhofer Singapore
Emotion plays a vital part in human-to-human communication. However, it is still not widely applied in human-computer interaction.  To make the systems/machines more intelligent, emotion artificial intelligence (affective computing) which is an interdisciplinary research and involves computer science, psychology, and cognitive science is essential. The performance of systems/machines could be significantly improved if they recognize, interpret, and simulate human emotions and related affective phenomena.  This session will focus on cutting edge AI algorithms for emotion recognition from different sources such as physiological signals, speech, facial expression, etc.

Special Session: Human intelligence machine coexistence
Special Session organized by Tassos Bezerianos,  University of Patras, Greece; National University of Singapore, Singapore
In the context of machines increasingly relying on artificial intelligence and making their way beyond military and research contexts into consumer realm, a paradigm shift is bound to occur in the areas of robotics and autonomous systems and human-machine interaction. Boundaries between humans and machines are dissolving and seamless coexistence within human-machine teams is envisioned. From an engineering perspective, harmonious coexistence between humans and machines requires interactivity, co-dependency and mutual reliance within a complex cognitive system. In this context, models, methods and algorithms need to be devised in order to foster, manage and maintain the complex infrastructure underlying human-machine coexistence. This  session  invites papers from areas spanning from the theory of minds and trusted autonomy to multimodal sensing (EEG, GSR, face and speech) for cognitive assessment and machine learning and AI methods for data analysis.

Special issue of Advanced Engineering Informatics (Elsevier, 5-years impact factor 3.214) will consider for publications extended versions of all full papers accepted by the track.


Chair: Christophe Rosenberger (Normandy University, France )

Cybersecurity is an essential requirement when living in a digital world. Should one user trust a service on internet? How well secured are my personal data in the digital world? All these questions request new technical and methodological solutions involving many aspects among cryptography, information theory, protocols…
In order to establish a secure link between users and cyber services, biometrics becomes a key technology. However, it has also many drawbacks such as possible false rejection of legitimate users and false acceptance of impostors, privacy concerns and possible attacks (spoofing, replay).
In this track, we expect high-level research contributions in this area in order to propose useful solutions to secure our CyberWorld. The topics include but are not limited the following research areas:

  • Security protocols
  • Authentication protocols
  • Privacy protocols
  • Password security
  • Security of personal data
  • Content protection and digital rights management
  • Risk and reputation management
  • Identity and trust management
  • Information hiding and anonymity
  • Privacy, security and trust in social media
  • Security of embedded systems
  • Behavioral biometrics
  • Performance evaluation of biometric systems
  • Multi-biometrics
  • Quality of biometric data
  • Biometric template protection
  • Presentation attack detection
  • Emerging biometrics

Special issues of Journal of Future Generation Systems (Elsevier, impact factor 3.99) will consider for publications extended versions of all full papers accepted by the track.


Chairs: Marius Erdt (Fraunhofer Singapore ), Klaus Drechsler (Aachen University of Applied Sciences, Germany ) and Cristina Oyarzun Laura (Fraunhofer IGD, Germany )

Information and Communications Technology (ICT) and the Internet of Things (IoT) will be fundamentals in the transformation towards a digital society and economy where smart services promise to address our future challenges in areas such as urban living and mobility, active and healthy ageing, as well as productivity.
Visual Computing and Machine Learning technologies are key enablers in this digital transformation allowing for real-time analytics, simulation and visualisation of data from sensors, robots, mobile healthcare devices, and many others. In smart manufacturing and Industrie 4.0, cyber-physical systems driven by image analytics, computer vision, modelling, IoT, and 3D visualisation come together to improve productivity and manufacturing flexibility.
In this track, we invite contributions to the research field including, but not limited to the following research topics:

Special issue of Advanced Engineering Informatics (Elsevier, 5-years impact factor 3.214) will consider for publications extended versions of all full papers accepted by the track.

  • Real-time analytics, modelling, and simulation for the future smart cities and urban mobility
  • 3D city modelling, processing and simulation
  • Generation of building/city models (e.g. using LIDAR data, photogrammetry, point clouds)
  • Predictive analytics and machine learning for smart cities and smart manufacturing
  • Computer vision for industry 4.0 / smart manufacturing
  • Optical inspection for industry 4.0 / smart manufacturing
  • Virtual and Augmented Reality for smart cities and smart manufacturing

Thank you for your enquiry. We will get back to you shortly.

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