My Research
Exploring how intelligent systems can make our core systems smarter, our energy cleaner, and our digital lives more secure.
Research Overview
My research focuses on how intelligent systems can make our core systems smarter, our energy cleaner, and our digital lives more secure. As our world becomes increasingly connected, we need secure systems that can think, adapt, and protect themselves without constant human intervention! Due to this, I am mainly focusing my doctoral studies on self-healing networked energy systems. At the moment, I research a subset of this focus comprising edge integration, automation, and cybersecurity with applications to networked energy systems.
My past research has spanned three main areas: data-driven fault detection, AI-based power system protection, and cyber policy. I’m interested in extending my research expertise beyond energy systems to tackle challenges in other domains and I am open to any applied engineering roles that give me this opportunity!
The modern information age is a testament to the power of research and how it can change the world. Every algorithm I develop, every security protocol I design, and every system I optimize brings us closer to a world that is truly livable and sustainable for future generations.
Research Projects
Cyber Physical Power Systems
**to be updated
Impact of Electric Vehicle Integration on Distribution Systems
To be updated
Cooperative-NOMA Modeling with Intelligent Reflective Surfaces
5G (Non-orthogonal multiple access) models for transmit power optimization studies
Short-Term Load Forecasting in Low Observability Power Grids
A Ghanaian case study on building valid datasets and AI-based algorithms for short-term load forecasting
Blackout Prediction in Transmission Systems
A cascading failure simulator and an ML-based method to predict and quantify blackouts in power systems.
Data-Driven Fault Detection
Using deep learning for detection of faults in transformers and induction motors.