Smartphone-based mHealth Device for Blood Coagulation Monitoring: Development of a camera-integrated portable system for Prothrombin Time/INR (PT/INR) testing, enabling real-time clotting analysis using computer vision and vibration-based sensing for low-cost, point-of-care diagnostics.
MEMS-based Sensing Applications for Healthcare, Smart Mobility, and Industry 4.0: Design and integration of MEMS sensors (accelerometers, gyroscopes, pressure sensors, etc.) for multimodal applications including health monitoring, smart vehicles, and predictive maintenance in industrial settings.
Fundus Imaging-based Retinal Disease Screening: Building computer-aided diagnostic (CAD) tools using fundus imaging for the detection and monitoring of diabetic retinopathy (DR), glaucoma, and blood perfusion abnormalities.
Hepatic Portal Vein Gradient (HPVG) Estimation via Non-invasive Physiological Signals: Exploring computational models to estimate HPVG using multimodal physiological data (e.g., ECG, PPG), offering a low-cost, non-invasive alternative for liver disease screening and monitoring.
Explored MEMS sensor applications in wearable and mobile devices.
Contributed to embedded system design and algorithm development for healthcare and smart mobility.
Research Focus: Digital Healthcare technologies, Medical Image Analysis, Embedded Systems, MEMS Sensor Applications
Teaching Assistant (July 2018-March 2023): Assisted in the following undergraduate and postgraduate courses:
COMPUTER ARCHITECTURE (2102-COL216)
ADVANCED TOPICS IN EMBEDDED COMPUTING (2101-COL788)
DIGITAL IMAGE ANALYSIS (2002-COL783)
DIGITAL LOGIC & SYSTEM DESIGN (2001-COL215)
EMBEDDED SYSTEM DESIGN PROJECT (1902-COL315)
DIGITAL IMAGE ANALYSIS (1901-COL783)
COMPUTER GRAPHICS (1802-COL781)
DIGITAL IMAGE ANALYSIS (1801-COL783)
Developed Industrial IoT-based proof-of-concept (POC) systems for automotive manufacturing industries, focusing on remote monitoring, predictive maintenance, and real-time data analytics.
e-Partograph: A graphical system to monitor labor progress and maternal/fetal health.
Affordable Fundus Imaging Device: For screening glaucoma and other retinal diseases.
mNetra: A low-cost device for refractive error screening using a modified ophthalmoscope and smartphone.
NIR-based Noninvasive Hemoglobin/Bilirubin Measurement.
Web-based Eye Care Framework for affordable retinal screening.
Involved in the development of affordable medical devices and standalone ICU monitor prototypes.
Integrated multiple sensing modules (blood pressure, ECG, pulse oximeter, brain oximeter) with embedded Linux-based platforms.
Contributed to software-hardware co-design for next-generation point-of-care diagnostic tools.