Mobile BCI for Game-based Motor Training and Neurorehabilitation


mBCI Closed Loop

A volunteer wearing EMOTIV Flex 2 EEG headset controlling our mBCI maze game in iPad in real-time.

Mobile BCI with a low-latency closed loop between wearable EEG and a game engine. Built on AsyncDCNN, a coherence-based neuromorphic model with cross-session and cross-subject transfer for robust decoding of motor intent. AsyncDCNN introduces a coherence-based perceptron that models stable synaptic states with graded updates from pre- and post-synaptic activity. This supports asynchronous, parallel learning across forward, backward, and lateral pathways for reliable real-time decoding under non-stationary EEG.

mHealth ecosystem (motorlearning.games) for pediatric motor assessment and learning analytics

Motor Skills Learning App

iPad-based neuromotor assessment for upper-limb performance in children. Integrates games, EEG, and IMU sensors to quantify spatiotemporal movement trajectories and learning dynamics.

Key Achievements:
  • Developed gamified mHealth tests for upper-limb assessment
  • Integrated VICON, EEG, and IMU sensors for multimodal motor analytics
  • Built AWS-based data storage and analysis pipeline
  • Validated with pediatric cohorts (term, preterm, and cerebral palsy)

HIPAAChecker.health - Healthcare Security and Privacy Assessment

HIPAAChecker.health

Security and privacy assessment platform for mHealth apps using static + dynamic analysis and HIPAA-aligned risk scoring.

Research direction: HIPAAScoring Model
  • HIPAA threat model with 272 security patterns across four categories
  • Risk score integrates CVSS v4.0 and NIST SP 800-66r2
  • Annotated dataset of 78 healthcare apps; validated with expert review
Technologies:
Python Security Analysis Static Analysis Dynamic Analysis HIPAA Compliance
Contributions:
  • Built static/dynamic analysis pipelines for HIPAA compliance screening
  • Developed HIPAAScoring risk model with CVSS v4.0 + NIST SP 800-66r2
  • Deployed HIPAA LLM API infrastructure on AWS and integrated into platform

National Clinical Data Warehouse (NCDW) Bangladesh

NCDW Bangladesh

A comprehensive clinical big data research platform designed to handle large-scale healthcare data analytics. The system features advanced data integration, ETL pipelines, and machine learning capabilities for clinical research and decision support.

Technologies:
Python Flask Hadoop Superset Angular PostgreSQL
Key Features:
  • Wrapper API-based data integration system
  • ETL pipeline and Central Data Repository
  • Data marts and OLAP Engine implementation
  • Advanced data visualization using Superset
  • Machine learning pipeline for model deployment

NBA-Search Analytics

NBA-Search

An open-source NBA analytics platform providing comprehensive basketball statistics and player analysis. I contributed to the implementation of advanced clustering algorithms and machine learning techniques for player performance evaluation and team analytics.

Technologies:
Python Flask K-Means KNN Data Analytics Machine Learning
My Contributions:
  • Implemented clustering algorithms (KNN, K-Means)
  • Developed player similarity analysis features
  • Created advanced statistical comparison tools
  • Contributed to open-source basketball analytics community

vInternship.org - Supporting Blended Learning Environment Connecting Interns, Universities and Industries

vInternship.org

A revolutionary virtual internship platform designed to seamlessly connect industry professionals, universities, and interns. The platform facilitates remote collaboration, skill development, and professional networking in a virtual environment.

Technologies:
Python Django Angular MongoDB REST API
Leadership & Development:
  • Designed platform architecture and virtual internship protocols
  • Led and mentored a team of five developers
  • Conducted comprehensive research and optimization studies
  • Implemented industry-university collaboration frameworks

Robotic Process Automation (RPA) to Automate Banking Operations

RPA System

A comprehensive Robotic Process Automation system developed for Bank Asia Ltd. The solution automates repetitive banking processes, improves operational efficiency, and reduces manual errors through intelligent automation workflows.

Technologies:
Python JavaScript Process Automation Banking Systems Agile Scrum
Project Achievements:
  • Designed automation system for Bank Asia Ltd operations
  • Implemented client requirements using Agile Scrum methodology
  • Developed clean, robust, and reusable automation modules
  • Significantly reduced manual processing time and errors

Digital Document Archive System for Planning Commission of Bangladesh Government

Digital Archive

A government-level digital archival system developed for the Planning Commission of Bangladesh. This comprehensive solution digitizes, processes, and manages historical documents with advanced OCR capabilities for Bengali text recognition.

Technologies:
Python ETL Pipeline Bangla OCR Document Processing Government Systems
Technical Contributions:
  • Designed and developed comprehensive ETL pipeline
  • Conducted R&D for Bengali Optical Character Recognition
  • Collaborated with cross-functional development teams
  • Implemented document digitization and archival workflows