An mHealth Approach to the Clinical Assessment of Gaze Stability and Telerehabilitation of Vestibular Dysfunction Funded by the National Institute on Deafness and Other Communication Disorders (Grant Number: 1R41DC022209-01)

Role- System Design, Development, Testing, and Data Analysis.

02 / Applied research

Voice-activated Self-monitoring (VoiS) Application

This project is supported by the National Institute of Nursing Research of the National Institutes of Health (R21NR019707) for self-monitoring support applications for adults with diabetes and hypertension.

Role- Data Analysis and System Design.

03 / Applied research

MPredA

A web application to integrate Machine Learning based Prediction System to Evaluate the Autism Level Improvement.

Role- Build the machine learning model and design the system.

Now

August 2026-Present

Research Assistant Professor

Department of Computer Science Marquette University, Milwaukee, WI, USA

Full trajectory

Research · Collaboration · Mentorship

Have a difficult health signal worth understanding?

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MasudRabbani

A research portfolio designed to be read, not scrolled past.

From physiological signal to practical health insight.

Mobile Health (m-Health)

Digital Health

Mobile/pervasive computing

Smart phone-based Healthcare

Brain Signal Analysis

NLP and Machine Learning

Recent work across intelligent sensing and human health.

EEG based real time classification of consecutive two eye blinks for brain computer interface applications.

Towards a Non-Invasive mHealth Platform

Smartphone based non invasive real time white blood cell counter leveraging blue light and static magnetic field.

Noninvasive estimation of blood glucose and HbA1c using Quantum Machine Learning technique.

Methods become useful when they survive the real world.

EyeGaze

Voice-activated Self-monitoring (VoiS) Application

MPredA

Research Assistant Professor

Have a difficult health signal worth understanding?