Nusrat Binta Nizam

Master's Thesis: A Multimodal Feature Fusion-Based Thoracic Disease Classification Framework Combining Medical Data and Chest X-Ray Images

Supervisor: Dr. Taufiq Hasan, Associate Professor, Department of BME, BUET

This study proposes a state-of-art multimodal feature fusion-based architecture using raw medical text data and chest x-ray images for improving thoracic disease classification performance.

Undergraduate Thesis: Phonocardiogram Signal Analysis for Noise Robust Valvular Heart Disease Classification

Supervisor: Dr. Taufiq Hasan, Associate Professor, Department of BME, BUET

This study proposes a time-domain Hilbert envelope feature (HEF) extraction scheme that can effectively distinguish among different cardiac anomalies from heart sounds even in highly noisy recordings. The developed methods can positively benefit computer-aided auscultation (CAA) systems when deployed in noisy conditions, especially in low-resource settings.

Capstone Design: Low Cost Sitting Posture Monitoring System

Advisor: Dr. Jahid Ferdous, Assistant Professor, Department of BME, BUET

In this study, a real-time posture monitoring system has been designed and a functional prototype has been developed using simple electrical elements and an android application.

Capstone Design: Prototype of a Portable Dialysis Machine

Advisor: Dr. Jahid Ferdous, Assistant Professor, Department of BME, BUET

In this study, a prototype of a portable hemo-dialysis machine was developed and different parts of the machine was designed to reduce the cost of the machine.

Project: Low Cost Mechanical Ventilator Design

Supervisor: Dr. Taufiq Hasan, Associate Professor, Department of BME, BUET

During COVID-19 pandemic, a prototype of a portable mechanical ventilator was developed and different parts of the device was designed to reduce the cost.

Project: RadAssist

Supervisor: Dr. Taufiq Hasan, Associate Professor, Department of BME, BUET

RadAssist is a tele-radiology platform where radiologists can examine different imaging reports easily. AI tools are also used for the diagnosis of different diseases and also for disease severity prediction.