VinUni Institute for Smart Living

V-SENSE

The hardware layer of trustworthy AI

Confident systems aren't systems that never fail. They're systems that know when they might fail—and say so.

Explore our research
Operational Pilots

Four pilots, one mission

Every pilot ships with mandatory self-aware sensing and is overseen by V-SENSE

Architectural diagram: Smart building with integrated occupancy, ventilation, air-quality, and environmental monitoring sensors at VinUniversity Campus, expanding to Vinhomes residences and Vincom Retail locations.
Pilot 01 · Built Environments

Smart Buildings & Indoor Environmental Quality

Integrated occupancy, ventilation, and air-quality sensing with real-time confidence metrics. Detects sensor drift before it impacts building operations, enabling HVAC systems and occupancy management to respond to actual environmental conditions rather than stale or miscalibrated readings. Planned deployment across residential, commercial, and educational facilities.

Architectural diagram: Hospital-to-Home rehabilitation sensing pathway showing post-discharge monitoring in hospital setting transitioning to early deterioration detection in patient's home environment via Vinmec discharge pathway.
Pilot 02 · Clinical Continuity

Hospital-to-Home Rehabilitation Monitoring

Wearable and environmental sensors track post-discharge recovery with clinical-grade accuracy. The system flags early signs of physiological deterioration by quantifying measurement uncertainty—distinguishing true changes from sensor noise. Extends hospital-level monitoring into home settings, enabling clinicians to intervene before crises occur.

Architectural diagram: Smart aging-in-place home showing unobtrusive radar dome for passive fall detection and ADL (Activities of Daily Living) monitoring in Vinhomes elderly occupant cohort, addressing Vietnam's rapid aging demographic.
Pilot 03 · Aging-in-Place

Fall Detection & Prevention in Senior Care

Real-time radar-based fall detection across shared living spaces—no cameras, no wearables. The system not only detects falls but reports confidence in its detection, reducing false alarms that lead to alarm fatigue. Enables rapid intervention while preserving dignity and privacy in aging-in-place environments.

Architectural diagram: Smart building operations decision support system showing multi-sensor fusion with confidence-based analytics for anomaly detection and optimization across integrated building management.
Pilot 04 · Decision Support

Smart Building Operations & Analytics

Multi-sensor fusion with confidence-based decision support. Real-time anomaly detection, sensor correlation analysis, and interactive what-if optimization for building management. The system quantifies uncertainty in every recommendation, enabling operators to make informed decisions about facility operations and maintenance priorities.

Built for problems with real stakes
$25B

Projected point-of-care diagnostics market by 2030 — where V-SENSE biosensing platforms compete directly.

2M+

Vietnam

5G → 6G

Vietnam

$500B+

Global enterprise IoT and smart building automation market — where V-SENSE embedded sensing platforms deliver occupancy, environmental quality, and infrastructure intelligence.

Meet the team

Founded by Khaled Nabil Salama (Founding Chief Scientific Officer), V-SENSE is being established at VinUniversity, with formal launch planned for January 2027. Founding: 7 faculty. At maturity: 15 faculty (plus proportional growth in staff, postdocs, and graduate researchers). A founding vision to build hardware that knows when to doubt itself.

Learn more about our team →

Support V-SENSE

V-SENSE is supported by VinUniversity and VinGroup. For partnership, collaboration, or sponsorship inquiries, contact us.

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