About Me
I am an Electrical Engineer with professional experience in power system operation and a growing research focus at the intersection of power engineering, data science, and artificial intelligence. My academic background combines electrical engineering with graduate training in applied statistics and data science, providing a multidisciplinary foundation for research in modern power and energy systems.
My current interests include developing data-driven methods to improve the reliability, efficiency, and resilience of electric power systems. I am particularly interested in applying machine learning, statistical modeling, and time-series analysis to challenges such as power system protection, load forecasting, condition monitoring, predictive maintenance, and smart grid operation.
As a prospective PhD applicant, I aim to contribute to research on AI-enabled power systems and cyber-physical energy systems. My long-term goal is to develop intelligent decision-support techniques that help utilities integrate renewable energy, improve asset management, and enhance grid reliability.
Research Interests
- Artificial Intelligence in Power Systems
- Smart Grids
- Power System Protection
- Load Forecasting
- Condition Monitoring
- Predictive Maintenance
- Distribution Automation
- Renewable Energy Integration
- Machine Learning
- Time-Series Analysis
- Reliability Engineering
Education
- Master of Applied Statistics and Data Science
- Bachelor of Science in Electrical and Electronic Engineering
Professional Interests
I enjoy exploring emerging technologies in artificial intelligence, power system analytics, and data-driven engineering. I am committed to continuous learning and collaborative research that bridges theory and practical applications in the energy sector.