Dear Colleagues,
Mobile and wireless sensing technologies have emerged as a transformative paradigm for health monitoring. Researchers have demonstrated increasingly ambitious capabilities: capturing vital signs on smart speakers, non-periodic biosignals like eye movements with tiny radars on smart glasses, and seemingly Chaotic muscle vibrations.
The Cambrian explosion of diverse wearables from rings to mouthguards to jewelry, enrich the sensing ecosystem with unique vantage points for measurement and intervention delivery.
Beyond personal devices, wireless health sensing has emerged as a key use case for 6G Integrated sensing and communication (ISAC) which envisions a future where ambient cellular signals can sense of human movements, which has significant implications for population-scale public health monitoring.
Finally, the field is shifting toward closed-loop agentic systems that fuse sensing, learning, and actuation to autonomously deliver interventions such as drug dosing and nerve stimulation.
This space is becoming a vibrant interdisciplinary area spanning computer science, electrical engineering, clinical medicine, public health policy, human factors, and ethics.
However, there is no dedicated academic forum that brings together researchers, clinicians, and practitioners across these disciplines to discuss and shape the future of wireless sensing for health. We created MobiDx to fill this gap. We hope it will serve as a catalyst for collaboration and a launchpad for next-generation wireless health sensing systems.
We look forward to seeing you in Austin,
Organizers: Justin Chan, Rajalakshmi Nandakumar, and Xiyuxing Zhang
Steering committee: Swarun Kumar, TBD, TBD
Identify critical challenges that require coordinated community effort.
Posted to arXiv with all attendees as authors.
Build serendipitous connections that will serve attendees for years to come.
We invite original research papers that have not been previously published and are not currently under review for publication elsewhere. We prioritize bold, risky, and visionary ideas that will spur thought-provoking discussion and long-term research directions.
Submissions must use 10pt font (or larger) and follow ACM double-column guidelines (Letter-sized, 8.5" × 11"). Challenge papers must bear a "Challenge:" prefix. Templates available at ACM Proceedings Template. All accepted papers will be published as part of the ACM proceedings.
All deadlines are Anywhere on Earth (AoE).
| Submission deadline for workshop papers | July 10, 2026 |
| Notification of acceptance | July 31, 2026 |
| Camera-ready version deadline | August 21, 2026 |
| Workshop date | October 30, 2026 |
MobiDx is a full-day workshop featuring keynotes, paper presentations, a cross-disciplinary panel, and collaborative breakout discussions.
Welcome and overview of the workshop goals
Speaker to be announced
Research paper presentations (10 min talk + 5 min Q&A each)
Speaker to be announced
Research and challenge paper presentations
Experts from engineering, clinical medicine, public health policy, behavioral science, human factors, and regulatory perspectives
Dagstuhl-style breakout sessions on grand challenges facing the wireless health sensing community
Executive summaries from each group and next steps for the community whitepaper
Inspired by the Dagstuhl Seminars, participants will split into groups, each tackling a grand challenge facing the wireless health sensing community.
How can ambient infrastructure be repurposed to passively detect human health signals and motion across entire communities?
How can agentic systems safely and accurately fuse sensor data with clinical knowledge to deliver personalized interventions without clinician-in-the-loop oversight?
How do we design wireless health technologies that work effectively for underserved, rural, and low-resource populations?
Can digital twins, physiological models, and foundation models enable virtual clinical trials that accelerate validation of health sensing technologies while reducing the cost and burden of traditional human studies? What are the scaling laws for biosignal foundation models?
Are the current regulatory frameworks sufficient to move health sensing prototypes to FDA-cleared clinical tools?
How can instrumented home environments detect physiological and cognitive decline early enough to intervene?
