Riddhi Patel is a Senior Android Software Engineer and technology professional specializing in Android system architecture, healthcare mobility, secure connected-device platforms, edge computing, and enterprise mobile application development. Her professional experience includes customized Android operating-system development for healthcare devices, Bluetooth integration with connected medical equipment, secure offline clinical-data capture, encrypted synchronization, Android cybersecurity, backend integration, and enterprise field-service application architecture. Her research interests include Android healthcare systems, Internet of Medical Things, zero-trust mobile security, Bluetooth Low Energy, Android middleware optimization, secure over-the-air updates, 5G-enabled mobile architecture, and privacy-preserving edge artificial intelligence. She has authored research articles addressing Android enterprise security, IoT integration, wearable-device communication, healthcare-data protection, medical-fleet update orchestration, and on-device artificial intelligence for clinical applications. She has also contributed to international technical conferences as a speaker, oral presenter, reviewer, and technical evaluator. She holds a Master of Science in Computer Science from the New York Institute of Technology and a Master of Science in Information Technology.

Presentation Title:Zero-Trust Android Edge Architecture for Secure and Intelligent Remote Patient Monitoring Abstract:Remote patient monitoring systems increasingly depend on Android-based edge devices to collect, process, and transmit clinical information from connected medical devices. However, these systems must operate across diverse hardware, unreliable networks, evolving cybersecurity threats, and strict healthcare privacy requirements. This presentation introduces a zero-trust Android edge architecture for secure and intelligent remote patient monitoring. The proposed architecture integrates Bluetooth-enabled medical devices, including blood-pressure monitors, pulse oximeters, glucose meters, weight scales, and ECG devices, with hardened Android healthcare gateways. It applies device identity verification, secure Bluetooth pairing, encrypted local storage, application-level access controls, SELinux-based policy enforcement, and authenticated communication to protect sensitive health information throughout the data lifecycle. The architecture also incorporates offline-first clinical data collection and store-and-forward synchronization, allowing healthcare information to be captured securely even when internet connectivity is unavailable. Once connectivity is restored, encrypted records are synchronized with backend healthcare platforms using retry management, conflict resolution, audit logging, and data-integrity validation. The presentation further explores the use of on-device artificial intelligence for anomaly detection, clinical prioritization, and explainable decision support. Policy-controlled over-the-air updates and device-attestation mechanisms are also discussed as methods for maintaining the security and reliability of distributed Android medical-device fleets. The proposed framework demonstrates how Android system architecture, healthcare cybersecurity, edge intelligence, and secure medical-device connectivity can be combined to create scalable, resilient, and privacy-conscious remote patient monitoring platforms.