About MoMM
Theme
Intelligent Mobile and Multimedia Solutions: Pioneering Ubiquitous Technologies for Social Impact
Aims & Scope
MoMM conference covers a wide range of topics, including mobile computing and communication, multimedia content analysis and processing, computer vision and image processing, audio and speech processing, human-computer interaction, and more. The conference attracts attendees from diverse backgrounds, including computer science, electrical engineering, information technology, and other related fields.
The conference features keynote speeches by renowned experts in the field, paper presentations, workshops, and panel discussions. Attendees have the opportunity to learn about the latest advancements, exchange ideas, network with peers, and collaborate on new projects. They can also interact with industry experts showcasing the latest technologies, tools, and services related to mobile computing and multimedia intelligence.
MoMM provides a platform for sharing knowledge, promoting innovation, and advancing the state of the art in mobile computing and multimedia intelligence. Through this conference, attendees can gain valuable insights and contribute to the development of new and more intelligent mobile applications and services that can transform the way we live, work, and interact with the world around us.
Topics of Interest
Specific topics of interest include, but are not limited to:
Mobile Multimedia, Generative Media, and Conversational Interfaces
- Multimodal foundation models for mobile media generation
- On-device generative AI for real-time media synthesis and editing
- Conversational agents for multimedia creation and retrieval
- Personalized media generation using user context and behavior
- Efficient diffusion and transformer models for mobile deployment
Immersive Multimedia Streaming and Real-Time Interactive Media
- Edge-assisted low-latency streaming for AR/VR
- AI-driven adaptive bitrate and perceptual video optimization
- Real-time multi-user interactive video systems
- Cloud-edge collaboration for immersive rendering
- Reinforcement learning for QoE optimization
Context-Aware Computing and AI-Driven Mobile Sensing
- Self-supervised learning for multimodal sensor data
- Continuous context inference from mobile signals
- Energy-efficient adaptive sensing strategies
- Federated context modeling across devices
- Real-time situational awareness systems
Wearables and On-Body Technologies
- Flexible and bio-integrated sensing systems
- Ultra-low-power edge AI wearable chips
- Multimodal physiological and motion data fusion
- Smart textiles and e-textile computing
- Energy harvesting and battery-free wearables
Human Activity Recognition and Sensor Fusion with AI
- Transformer-based activity recognition models
- Cross-domain generalization techniques
- Hierarchical modeling of human behavior
- Self-supervised learning with limited labels
- Real-time multimodal sensor fusion
Mobile IoT, Digital Twins, and Smart Environments
- Edge-cloud digital twin synchronization
- AI-driven orchestration of IoT ecosystems
- Semantic modeling of smart environments
- Urban-scale real-time simulation systems
- Interoperability in heterogeneous IoT systems
Mobile Health, Digital Phenotyping, and Assisted Technology
- Passive sensing for mental health monitoring
- AI-based early disease detection
- Personalized intervention systems
- Federated privacy-preserving health analytics
- Assistive technologies for aging populations
Agentic AI and On-Device Generative AI
- Autonomous mobile AI agents for task execution
- On-device LLMs with tool-use capabilities
- Multi-agent collaboration across edge-cloud systems
- Energy-aware generative AI scheduling
- Continual learning personalized agents
Human-Centered Computing and User Experience
- Adaptive UI systems using real-time user modeling
- Affective and emotion-aware computing
- Explainable AI for user-facing systems
- Accessibility-enhancing intelligent interfaces
- Privacy-aware personalization techniques
6G and Future Mobile Networks
- AI-native autonomous network architectures
- Ultra-low latency communication systems
- Integrated sensing and communication (ISAC)
- Terahertz communication technologies
- Edge-native distributed intelligence orchestration
Mobile XR, AR/VR, and Mixed Reality Experiences
- Real-time spatial mapping and SLAM
- AI-optimized lightweight AR rendering
- Multi-user shared XR environments
- Context-aware AR overlays
- Haptic and multimodal immersion systems
Privacy, Security, and Trust in Mobile Environments
- Federated learning with differential privacy
- Secure enclaves for mobile AI computation
- Adversarial robustness in mobile systems
- Privacy-preserving multimodal fusion
- Decentralized identity and trust frameworks