Computer scientist · Digital health researcher
I build AI-driven, non-invasive systems that translate physiological signals into useful insights for human health.
EEG · BCI · mHEALTH · NON-INVASIVE SENSING
Explore by question
The questions, methods, and funding behind the work.
↗PublicationsJournal articles, conference papers, chapters, posters, manuscripts, and patent records.
↗ProjectsApplied systems spanning sensing, care, and machine learning.
↗ExperienceResearch appointments, teaching, training, and mentorship.
↗News & announcements
Masud Rabbani began his appointment as Research Assistant Professor in Marquette University’s Department of Computer Science, where his work focuses on AI-driven non-invasive mHealth systems, EEG and BCI signal analysis, grant development, and student mentoring.
Masud Rabbani and coauthors published a review of agentic-AI methods, systems, and applications for EEG-based brain-computer interfaces in the 2026 IEEE 50th Annual Computers, Software, and Applications Conference, pages 2844–2852.
Masud Rabbani was recognized with UbiVital, Inc., which was selected among 52 statewide semifinalists in the Launch Wisconsin contest by the Wisconsin Technology Council.
Masud Rabbani and Sheikh Iqbal Ahamed filed U.S. Non-Provisional Patent Application No. 19/559,730 for “Stroke Screening Systems and Methods Thereof”; the portfolio record lists the application as patent pending.
Journal article · 2025
Journal article · 2026
Conference paper · 2025
Journal article · 2025
Journal article · 2025
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.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.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
Department of Computer Science Marquette University, Milwaukee, WI, USA
Research · Collaboration · Mentorship