Dissertation Topic: Decoding Motor Control Strategies and Neuromotor Assessment of Upper-Limb Impairments using mHealth, Bio-sensors, and Machine Learning Techniques

Specialization: Machine Learning, Data Science, and Neuromotor Assessment Technologies

Focus Areas: Software Engineering, Algorithms, Database Systems, and Artificial Intelligence

Research Assistant at collaborative research project: NIH R03: Motor Skill Learning in Young Children Born Preterm and NIH R21: Game-based Mobile-Health Quantification of Upper-Limb Motor Performance in Children with Hemiparetic Cerebral Palsy

Role: Design and develop iPad-based game/task for upper-limb assessment, experimental protocol, conduct research experiments, data collection, apply machine learning, statistical analysis, and visualization.

Tools/Technology: iOS, Python, Matlab, EEGWorks, OpenSim, OpenSense, EEGLab, etc.

HIPAAChecker.health team member; contributed to software tools for security vulnerability detection and HIPAA compliance checking. Funded by NIH STTR Phase I, Phase II, and CTC-Wisconsin. Grant link. Funds raised: $2.4M.

Leadership: Led a 16-member technical team to design and implement production-grade products.

Research & Development: Built HIPAA LLM API infrastructure and deployed on AWS g4dn; integrated with the HIPAACHECKER.HEALTH platform using a fine-tuned 120B open-source model. Conducted experiments, publications, and grant reports.

HIPAAScoring: Developed a new HIPAA vulnerability scoring model based on NIST CVSS v4.0 and NIST SP 800-66r2 (manuscript in review, USENIX '26). Computes HIPAA risk scores from static analysis results.

Designed and developed infrastructure of national clinical data warehouse of Bangladesh. ETL, data processing, curation, datamart implementation, OLAP operations.

Tools/Technology: Python, Hadoop, Superset, PostgreSQL, Flask, Angular

Designed and developed virtual internship system to benchmark software development teams. Mentored 10 interns.

Tools: Python, Django, MongoDB, JavaScript

Designed, developed and analyzed software solutions for financial institutions. Built AI-based process automation solutions for clients.

Tools: Python, Flask, Java Spring Boot, Scikit-learn, OpenCV, NLTK, MySQL