Areas of Interest

Areas of interest for original contribution include, but are not limited to:

1. Implementation of Emerging Technologies in Intelligent Reality

  • Metaverse
  • Development and implementation of AI techniques 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
  • Machine Learning and 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, Holograms, and limitations

2. 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
  • Quality of Experience
  • New Standards

3. Intelligent Reality Technology and Infrastructure

  • Neural Network Compression
  • Point Cloud Data Extraction, Compression
  • Immersive Visual Media: Omnidirectional, 360, 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

4. Hardware, Accelerators, and Devices for Intelligent Reality

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

5. 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
  • 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)

6. 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
  • Fake and Misinformation Detection in IR
  • 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