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Computing with a human purpose.

Masud Rabbani is a computer scientist and digital health researcher working at the intersection of artificial intelligence, physiological sensing, mobile health, and brain-computer interfaces. His research develops practical, non-invasive systems for understanding human health signals.

Research Assistant Professor · Department of Computer Science, Marquette University
Masud Rabbani in formal professional attire
Researcher · Educator · Systems builder

Academic profile

Computing that listens to the body.

I build AI-driven, non-invasive systems that translate physiological signals into useful insights for human health.

Current role
Research Assistant Professor
Institution
Department of Computer Science, Marquette University
Based in
Milwaukee, Wisconsin, USA
Degree
PhD

Education

Foundations in computer science and cognitive signal processing.

01

January 2021- August 2026

PhD in Computer Science

Marquette University, Milwaukee, WI, USA
  • Dissertation: EchoBrain: Quantum and AI-Enhanced EEG and Infrasound Analysis for Comprehensive Brain Function Assessment through Cognitive Signals.
  • Advisor: Dr. Sheikh Iqbal Ahamed
  • Dissertation defended on July 3, 2026
  • CGPA: 3.97 (Out of 4.0)
02

January 2021- May 2025

MS in Computer Science

Marquette University, Milwaukee, WI, USA
  • Title: Cognitive Signal Processing for Brain-Computer Interfaces (BCIs) with Advances in EEG Signal Processing and Analysis
  • Advisor: Dr. Sheikh Iqbal Ahamed
  • CGPA: 3.97 (Out of 4.0)
03

November 2009- September 2014

BS in Computer Science

Khulna University of Engineering & Technology, Khulna, Bangladesh
  • Thesis Title: Bangla Hand-Written Character Recognition Using Pattern Recognition
  • Advisor: Dr. Kazi Md. Rokibul Alam
  • CGPA: 3.92 (Out of 4.0)
  • First Class First (Out of 60 students)
61peer-reviewed works
18awards & distinctions
28service & leadership records
3.97doctoral GPA / 4.0

Selected distinctions

Recognition across scholarship, research, and innovation.

All awards & service
2026

Semi-Finalist, Launch Wisconsin 2026 (Health Tech category) with UbiVital, Inc. — selected among 52 semifinalists statewide by the Wisconsin Technology Council. (2026)

2026

Selected, gBETA Frontier Technology Accelerator by gener8tor — Summer 2026 cohort, with UbiVital, Inc. (2026)

2026

Selected, Founder Factory program by UWM Research Foundation — Stage 1 startup development program, with UbiVital, Inc. (2026)

2026

Selected, Harvard Business School Foundry June Bootcamp — with UbiVital, Inc. (2026)

2024

Graduate School Dean's Research Enhancement Award by Marquette University. (2024)

2023

Graduate School Dean's Research Enhancement Award by Marquette University. (2023)

Full record

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