I’m a fourth-year Computer Science Ph.D. student at Marquette University, advised by Dr. Sheikh Iqbal Ahamed, Ph.D. and co-advised by Dr. Samuel Nemanich, Ph.D., MSCI. My research focuses on neuromotor analysis and rehabilitation technology—designing accessible, equitable, and clinically meaningful assessments using biomedical devices, multimodal sensors, machine learning, and mHealth systems. A core thread of my work is upper‑limb motor skills learning and performance assessment for pediatric populations, including in‑home, game‑based evaluations.
Originally from Dhaka, Bangladesh, I earned my B.S. in Computer Science and Engineering from the Bangladesh University of Engineering and Technology (BUET). Before and during graduate school, I helped design, build, and deploy large‑scale health informatics and mHealth platforms, with 3+ years of industry experience. I also worked with the eSystems Research and Development Lab on clinical research infrastructure and analytics.
Broadly, I’m interested in advancing digital health and deep learning methods to enable continuous, in‑home motor performance measurement and neurorehabilitation—bridging rigorous clinical science with usable, real‑world technology.
I’m open to work in Research Scientist roles focused on data-driven systems, machine learning, and large‑scale analytics.
Research Interests
Digital health and machine learning for neurorehabilitation. I study neuromotor analysis and clinically actionable assessment systems using multimodal sensing (e.g., iPad interaction, EEG, IMU) and mHealth. My current work focuses on in‑home, game‑based upper‑limb motor assessment for children with cerebral palsy and developmental coordination disorder, and on methods that make these tools accessible and equitable in real‑world settings.
- Representation learning, reinforcement learning, and self‑supervised methods for spatiotemporal movement trajectories and biosensor data
- Multimodal sensor fusion: behavioral, physiological (EEG), and inertial (IMU)
- In‑home, gamified mHealth assessments and adherence/engagement modeling
- Privacy, security, and scalable data systems for clinical research
Awards and Certifications
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2023 · Computer Science Summer Research Fellowship (CSSRF)
Marquette University -
2022 · Best Paper Award
Elsevier Smart Health Journal Best Paper Awards 2022 — “A privacy-preserving National Clinical Data Warehouse: Architecture and analysis”
Mia, M. R., Hoque, A. S. M. L., Khan, S. I., Ahamed, S. I., Smart Health, Volume 23, March 2022 -
2022 · Best Paper Nomination
IEEE/ACM CHASE 2022 — A comparative study on hipaa technical safeguards assessment of android mhealth applications. Mia, M.R., Shahriar, H., Valero, M., Sakib, N., Saha, B., Barek, M.A., Faruk, M.J.H., Goodman, B., Khan, R.A. and Ahamed, S.I., 2022. Smart Health, 26, p.100349 -
2022 · NSF Travel Grant
To attend IEEE/ACM CHASE 2022 at Washington, D.C. -
2018 · Best Innovative Project Award
Mrs. Sultana Begum Award — Best Innovative Project, project entitled “Internet of Things Based Smart Prayer Time Management System” -
CITI Program Certificates · Human Subjects Research
Certificate 1 · Certificate 2 · Certificate 3
Updates
- Summer 2025: Joined Ubitrix Inc as Research Intern — Data Privacy & Security
- Apr 23–25, 2025: Presented research at American Society of Neurorehabilitation (ASNR), Atlanta, Georgia
- Feb 28, 2025: Paper published in JMIR Games for Health — Read article
- Summer 2024: Joined Ubitrix Inc as Research Intern
- May 6, 2024: Organized Marquette Brain Games at Discovery World Milwaukee — participants played our games; research measured muscle and brain activity. Event page
- May 17, 2024: Paper published in Mary Ann Libert Games for Health Journal Read article
- Sep 10–13, 2023: Presented research with Dr. Nemanich at American Academy of Cerebral Palsy and Developmental Medicine (AACPDM) 2023 Annual Meeting, Chicago
- Dec 2022: Presented research at IEEE/ACM CHASE 2022 Conference, Washington, D.C.
- 2022: Presented research poster at Forward Thinking 2022, Marquette University