Research

1. Wearable Biosensing Systems for Health Monitoring: This research focuses on the design and fabrication of a wide spectrum of wearable biosensors for continuous health monitoring. These sensors assess vital health parameters such as blood pressure and temperature while monitoring ion levels, pH, glucose, hormones, and other biomarkers in biofluids continuously. The biosensors are integrated into systems that facilitate wireless data transfer and point-of-care diagnosis, enabling early diagnosis of diseases. AI technologies are employed to enhance sensor design, optimize material selection, and develop machine learning-based prediction models to improve the accuracy and reliability of these biosensing devices.

2. Assistive Wearable Devices for Patients: This research aims to develop assistive wearable devices specifically designed to support patients with chronic conditions, such as Parkinson's disease and Autism Spectrum Disorder (ASD). These devices will focus on improving patients' quality of life by assisting in the management of symptoms including communication challenges. The devices will be wearable, user-friendly, and equipped with advanced sensors and AI-driven feedback mechanisms that provide real-time assistance and monitoring, ensuring that patients receive timely interventions and optimized and personalized support.

3. Appropriate Technology: Developing low-cost, portable, and easy-to-use biosensor platforms that are sustainable and accessible for widespread health monitoring. This includes the creation of paper-based analytical devices and other innovative solutions designed to reach underserved populations, making health monitoring more equitable and globally accessible.