MobiSys 2026

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.

Registration// See MobiSys 2026 registration details

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
Alon Levin (Columbia University)

High-Performance Networked Systems: A Tale of Connectivity at Scale
Zehua Sun (National University of Singapore)

Towards Next-Generation Scalable LoRa Networks
Shiming Yu (The Hong Kong Polytechnic University)

Rethinking the Architecture of Low-Power Wireless Communication
Pramuka Sooriya Patabandige (National University of Singapore)

Harnessing Ambient Radio Signals for Ultra Low Power Sensing and Communication Systems
Geneva Ecola (Stanford University)
10:00 AM - 10:30 AM
Lecture Theatre, Ray Dolby Centre

Physical AI

Democratizing Physical AI via Hardware-Software Co-design for Everyday Environments
Minghui Zhao (Columbia University)

Collaborative Edge AI for Physical Agents
Liekang Zeng (The Chinese University of Hong Kong)

Democratizing Physical-AI Interfaces for Scalable Human-Centered Sensing
Sheng Lyu (The University of Hong Kong)
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
Bangjie Sun (National University of Singapore)

Towards Trustworthy AIoT Systems: An Interaction-Centric Perspective
Xiaoyue Ma (George Mason University)
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
Young D. Kwon (Samsung AI Center-Cambridge)

Enabling Carbon-aware Edge System Design
Xuesi Chen (Cornell Tech)

On-Device Intelligent Interaction for Everyday Natural Interfaces
Jiani Cao (City University of Hong Kong)

Toward Trustworthy Multi-Model Edge Intelligence
Yan Wang (University of Edinburgh)

System Support for Reliable Edge Computing under Intermittent Energy
Eren Yildiz (Georgia Institute of Technology)

Beyond-Voice: A Roadmap for Private, Affective, and Accessible Articulatory Interaction (Non-archival)
Tanmay Srivastava (Stony Brook University)
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
Yadong Li (University of Washington)

Toward Physics-Grounded Environmental Intelligence through Wireless Sensing
Juexing Wang (Michigan State University)

Beyond the Clinic: Multimodal Sensing Systems for Practical Healthcare
Qingyong Hu (The Hong Kong University of Science and Technology)

Audio-Centric Earable Computing: Connecting the Device, the Body, and the User
Changshuo Hu (Singapore Management University)

Towards Practical mmWave Sensing: A Distributed and Coherent Radar Approach (online)
Xinghua Sun (University of Washington)

Towards Scalable and Efficient mmWave vRAN with Heterogeneous Compute (online)
Zhenzhou Qi (Duke University)
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
Peng Huang (Zhejiang University)

2. Resource-Efficient UI Agents for Mobile Task Automation
Hao Wen (Institute for AI Industry Research (AIR), Tsinghua University)

3. Resilient Wireless Intelligence for Communication-Constrained Environments
Zheng Gong (Tianjin University)

4. Unlocking Human Movement: Detailed Gait and Impact Assessment from Consumer Earable Devices
Jake Stuchbury-Wass (University of Cambridge)

5. Scaling Mobile Agent Systems: From Capability Density to Collective Intelligence
Bowei He (Mohamed bin Zayed University of Artificial Intelligence)

6. Physical AI for Health in the Wild: Closing the Cyber-Physical Loop
Sijie Ji (California Institute of Technology)

7. Towards Ultra-Low-Power Standalone Wireless Communication Systems
Madhushanka Padmal (Uppsala University)

8. Stable and Adaptive Edge Intelligence with Continuous-Time Neural Networks
Yimin Dai (Nanyang Technological University)

9. Toward Practical Integrated Sensing and Communication upon Commodity Wi-Fi
Yinghui He (Nanyang Technological University)

10. Tackling Domain Specificity in Learning-Based Wireless Sensing: From Adaptation to Exploitation
Jingzhi Hu (Imperial College London)

11. From Body Heat to Behavioral Horizons: Spatial Sensing Intelligence with Thermal Arrays
Xie Zhang (The University of Hong Kong)

12. Ubiquitous Computational Spectroscopy: Bridging Lab-grade Spectroscopy to Everyday Devices
Haiyan HU (HKUST)

13. Building Efficient Inference Systems for Resource-Constrained Edge AI Deployment
Xiangyu Li (Institue for AI Industry Research (AIR), Tsinghua University)

14. Towards Automated, Resilient, and Robust AIoT
Leming Shen (University College London)

15. Integrated Sensing and Communication with Open RAN Infrastructure
Tianxin Wang (University of Edinburgh)

16. Toward Intelligent Wearables: Sensing, Interaction, and LLM EDA Automation
Taiting Lu (Pennsylvania State University)

17. Efficient and Generalizable Wi-Fi Sensing via Representation Learning and Cross-Domain Modeling
Yunming Zhao (Zhejiang University)

18. Towards Efficient Inference and Training of Deep Neural Networks on Edge Devices
Kun Wang (City University of Hong Kong)

19. Scaling LoRa to Massive IoT: A Physical Layer Approach
Jialuo Du (Michigan State University)

20. Transformer-Based Non-Sparse Wideband Monitoring
Jinbo Peng (Fudan University)

21. Towards Cognitive mmWave Agents: From Physical Sensing to Cognitive Computing
Duo Zhang (Peking University)