Authors are invited to submit original contributions on, but not limited to, the following areas and topics:

Emerging Technologies for Intelligent Reality

  • Metaverse
  • Artificial Intelligence (AI), Machine Learning (ML), and algorithms to support Intelligent Reality
  • Integrating AI/ML/Wearables/IoT/Internet of Everything/Robotics and other relevant disruptive technologies into Immersive Environments
  • Converging real with virtual worlds
  • Intelligent Reality environments encompassing real and artificial agents and elements
  • AI Interaction, Interoperability, and Communication between Virtual Objects and the Real World
  • Telepresence, Teleoperation, collaboration, and social interactions
  • Web3, blockchain, decentralized computing
  • 3D models, digital avatars, and holograms
  • Multimodal and multisensory interfaces

Extended Reality (XR)

  • AR/VR/MR/XR
  • Immersive experiences enhancing engagement and understanding
  • Educational applications and workforce training
  • Industrial applications in manufacturing and engineering and remote collaboration
  • Healthcare application for medical training and patient care
  • Research on Human-Computer Interaction (HCI)

Simulation and Digital Twins

  • Digital Twin fundamentals, frameworks, model-based systems engineering, and process
  • Digital Twin interface and communication
  • Physical and virtual twin communication
  • Distributed digital twin systems
  • Digital Twin interoperability
  • Digital Twin security and privacy
  • Digital Twin systems and applications (such as automation, health, smart cities, sustainable energy, and transportation)

Cyber-Physical Systems (CPS)

  • AI/ML for CPS
  • Safety and resilience for CPS
  • Architecture and networking for CPS
  • Design, optimization, and synthesis for CPS
  • CPS applications in power systems, infrastructure, smart cities, transportation, healthcare, aerospace, etc.

3D Modeling, Scanning, and Reality Capturing

  • Machine Vision, data capture, point-cloud generation
  • 3D scene or model reconstruction
  • 3D printing
  • Multi-view data integration
  • 3D model representation, transformation, and simplification
  • Feature extraction, segmentation, classification, and pattern recognition

Intelligent Reality Science and Foundations

  • Advanced Analytical Models
  • Efficient neural network inference Engines, Transfer Learning
  • Innovative Rendering Models
  • Data interpretation and Explainability
  • Evaluation Metrics and Methodologies
  • Novel Quality Models
  • Usability, UX, Quality of Experience
  • User-Centred Design, User Interaction
  • New Standards

Enabling Technologies for Intelligent Reality

  • Neural Network Compression
  • Point Cloud Data Extraction, Compression
  • Immersive Visual Media: Omnidirectional, 360º, 3DoF, 6DoF, etc
  • Spatial Audio, 3D Surround Sounds
  • Geometric Modelling and Design
  • Advances in Olfactory Technologies
  • Sensor Fusion
  • Visual Analytics
  • Rendering Techniques
  • System Architectures, Design, and Deployment
  • Software Techniques and Architectures

Hardware, Software, and Devices for Intelligent Reality

  • AR Glasses, VR Headsets, other AR/VR/MR/XR Form Factors, and other Smart Devices
  • Sensor technology in actuators, tactile, haptic, etc.
  • Network on Chip, System on Chip, Programmable Chip
  • FPGA/CGRA/GPU/or other accelerators
  • Programming models and platforms for accelerators
  • Robotics – collaborative, humanoid, industrial, and swarm robotics and their convergence with XR and combined applications in various real-life domains
  • IoT and the Internet of Everything (IOE)

Intelligent Reality Applications and Services

  • Arts, Games, Leisure, Sports, and Entertainment
  • E-commerce, Retail, Real Estate
  • Geospatial & Urban Planning
  • Tourism and Travel
  • Education, Simulation, and Training
  • Serious Games, Healthcare, Medicine, Therapy
  • Transportation, Automotive, Aerospace
  • Finance
  • Manufacturing and Maintenance
  • Industrial, Military, Emergency Response
  • Communication and Collaboration
  • Manufacturing and Occupational Safety
  • Advertising & Marketing
  • Government, Public Sector, and Society in General
  • Workforce continuous professional development-CPD (upskilling, reskilling)

Security, Ethics, Privacy, and Trust in Intelligent Reality

  • Research in Security, Privacy, Integrity, and Ethics and its Importance in Intelligent Reality
  • Techniques and Models for Fairness, Diversity, Transparency, and Interpretability/Explainability
  • Experimental Studies of Fairness, Diversity, Inclusivity, Accountability, and Transparency
  • Personal Obfuscation Technology
  • Methods and approaches for algorithmic explainability in intelligent reality environments
  • User Studies for Perception of Fairness, Accountability, and Transparency in Intelligent Reality Environments
  • Trade-offs between Transparency and Privacy
  • Intrusion, Anomaly, Threat Detection
  • Novel Threats, Attacks, Mitigations
  • Social Connection and Concerns in Intelligent Reality