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