<My Projects/>
A collection of projects showcasing expertise in AI development, data analysis, and renewable energy solutions. Each project represents a unique challenge and innovative solution.
AI Net Zero Emission Tracker
AI-powered application that tracks and analyzes carbon emissions to help organizations achieve net-zero goals. Built with Python and JavaScript, featuring machine learning algorithms for predictive analysis and data visualization dashboards.
Natural Gas Process Simulation
Advanced simulation of natural gas transportation, refining, and desalination using Aspen HYSYS. Modeled pipeline networks to analyze pressure drops, compression needs, and flow rates. Optimized gas sweetening and cryogenic separation for NGL recovery.
EcoGRID-Renewable Energy Market API
AI-optimized API built with Node.js that provides solar installation packages to customers based on their consumption capacity. Features intelligent recommendation algorithms and real-time energy consumption analysis.
Solar Energy Performance Dashboard
Comprehensive dashboard for analyzing solar energy usage and performance data. Built for EEK Consults to optimize operational efficiency and track sales trends of electrical items and solar products.
Network Security ML Models
Implementation of machine learning algorithms for network security research at KNUST Computer Science Department. Focus on anomaly detection and threat prediction using advanced ML techniques.
Carbon Emissions Tracking System
Research project focused on collecting and analyzing data related to solar energy efficiency and carbon emissions tracking. Developed AI models for predicting energy consumption and carbon footprint.
<Research & Publications/>
Hybrid Framework of Differential Privacy and Secure Multi-Party Computation for Privacy-Preserving Entity Resolution
STATUS: UNDER_REVIEW
MANUSCRIPT_NO: COSE-D-25-01096
ROLE: CO_AUTHOR
SUBMITTED: March 8, 2025
This research focuses on developing a novel hybrid framework that combines differential privacy and secure multi-party computation techniques to enable privacy-preserving entity resolution in distributed environments.
