Rising Stars Forum Program
The Rising Stars Forum will take place in the Lecture Theatre, Ray Dolby Centre, Cambridge, UK, co-located with ACM MobiSys 2026.
Schedule
08:45 AM - 09:00 AM
Lecture Theatre, Ray Dolby Centre
Opening Remarks
09:00 AM - 10:00 AM
Lecture Theatre, Ray Dolby Centre
Wireless Communication & Networking
Enabling Practical Full-Duplex Wireless: From Circuits to Software
High-Performance Networked Systems: A Tale of Connectivity at Scale
Towards Next-Generation Scalable LoRa Networks
Rethinking the Architecture of Low-Power Wireless Communication
Harnessing Ambient Radio Signals for Ultra Low Power Sensing and Communication Systems
10:00 AM - 10:30 AM
Lecture Theatre, Ray Dolby Centre
Physical AI
Democratizing Physical AI via Hardware-Software Co-design for Everyday Environments
Collaborative Edge AI for Physical Agents
Democratizing Physical-AI Interfaces for Scalable Human-Centered Sensing
10:30 AM - 11:00 AM
Lecture Theatre, Ray Dolby Centre
Coffee Break
11:00 AM - 11:30 AM
Lecture Theatre, Ray Dolby Centre
Trust & Provenance
Trustworthy Provenance for Physical and Digital Artifacts with Commodity Mobile Devices
Towards Trustworthy AIoT Systems: An Interaction-Centric Perspective
11:30 AM - 12:40 PM
Lecture Theatre, Ray Dolby Centre
Edge Computing & Intelligence
Efficient On-Device Intelligence: From Continual Adaptation to Generative AI on Edge Devices
Enabling Carbon-aware Edge System Design
On-Device Intelligent Interaction for Everyday Natural Interfaces
Toward Trustworthy Multi-Model Edge Intelligence
System Support for Reliable Edge Computing under Intermittent Energy
Beyond-Voice: A Roadmap for Private, Affective, and Accessible Articulatory Interaction (Non-archival)
12:40 PM - 01:50 PM
Lunch Area
Lunch
01:50 PM - 03:00 PM
Lecture Theatre, Ray Dolby Centre
Wireless Sensing & Networking
Towards Mobile High-Resolution mmWave SAR Imaging via Prior-Guided Autofocus
Toward Physics-Grounded Environmental Intelligence through Wireless Sensing
Beyond the Clinic: Multimodal Sensing Systems for Practical Healthcare
Audio-Centric Earable Computing: Connecting the Device, the Body, and the User
Towards Practical mmWave Sensing: A Distributed and Coherent Radar Approach (online)
Towards Scalable and Efficient mmWave vRAN with Heterogeneous Compute (online)
03:00 PM - 03:30 PM
Lecture Theatre, Ray Dolby Centre
Coffee Break
03:30 PM - 03:50 PM
Lecture Theatre, Ray Dolby Centre
1-min Madness of Posters
03:50 PM - 05:00 PM
Lecture Theatre, Ray Dolby Centre
Poster Session
1. Toward Practical Voice Privacy Protection in Physical and Digital Communication
2. Resource-Efficient UI Agents for Mobile Task Automation
3. Resilient Wireless Intelligence for Communication-Constrained Environments
4. Unlocking Human Movement: Detailed Gait and Impact Assessment from Consumer Earable Devices
5. Scaling Mobile Agent Systems: From Capability Density to Collective Intelligence
6. Physical AI for Health in the Wild: Closing the Cyber-Physical Loop
7. Towards Ultra-Low-Power Standalone Wireless Communication Systems
8. Stable and Adaptive Edge Intelligence with Continuous-Time Neural Networks
9. Toward Practical Integrated Sensing and Communication upon Commodity Wi-Fi
10. Tackling Domain Specificity in Learning-Based Wireless Sensing: From Adaptation to Exploitation
11. From Body Heat to Behavioral Horizons: Spatial Sensing Intelligence with Thermal Arrays
12. Ubiquitous Computational Spectroscopy: Bridging Lab-grade Spectroscopy to Everyday Devices
13. Building Efficient Inference Systems for Resource-Constrained Edge AI Deployment
14. Towards Automated, Resilient, and Robust AIoT
15. Integrated Sensing and Communication with Open RAN Infrastructure
16. Toward Intelligent Wearables: Sensing, Interaction, and LLM EDA Automation
17. Efficient and Generalizable Wi-Fi Sensing via Representation Learning and Cross-Domain Modeling
18. Towards Efficient Inference and Training of Deep Neural Networks on Edge Devices
19. Scaling LoRa to Massive IoT: A Physical Layer Approach
20. Transformer-Based Non-Sparse Wideband Monitoring
21. Towards Cognitive mmWave Agents: From Physical Sensing to Cognitive Computing
