Mobile Health (m-Health)
Designing mobile systems that move health assessment beyond specialized clinical settings.
01 / Research
Questions that begin with a human signal.
My work connects physiological sensing, artificial intelligence, and mobile computing to build non-invasive systems for real-world health.
6 research themes · 2 funded-work recordsResearch program
Six connected lenses, one goal: useful health intelligence.
Digital Health
Translating sensing and computation into useful, human-centered health decisions.
Mobile/pervasive computing
Studying how everyday devices can support continuous and context-aware health computing.
Smart phone-based Healthcare
Using smartphone cameras, microphones, and interaction data for accessible assessment.
Brain Signal Analysis
Interpreting EEG and cognitive signals for brain-computer interfaces and brain mapping.
NLP and Machine Learning
Applying language and learning methods to biomedical data, care workflows, and classification.
How I work
A bridge from measurement to model to intervention.
01Sense
Capture physiological and behavioral signals with accessible devices.
02Model
Build signal-processing, machine-learning, and AI pipelines.
03Validate
Test systems against meaningful technical and clinical measures.
04Translate
Shape findings into tools that can work outside the lab.
Technical foundation · Programming language: C/C++, Java, Python, R.
Funding & development
Contributing technical direction to externally supported work.
Marquette University Way Klingler Fellowship – Advancing Diabetic Eye Disease Diagnosis with Quantum Sensing Technology
Role: Contributor (under PI: Dr. Sheikh Iqbal Ahamed) | Award Year: 2024
Assisted in proposal development and technical vision for quantum-enhanced diagnostic platform.
NIH STTR Phase I – mVOR: An mHealth Approach to the Clinical Assessment of Gaze Stability and Telerehabilitation of Vestibular Dysfunction
Role: Contributor (under PI: Dr. Sheikh Iqbal Ahamed) | Award Year: 2024
Supported proposal preparation, system design, and validation planning for smartphone-based vestibular assessment.
Grant Number: 1R41DC022209-01 |
Award Link ↗