About

I am a curious individual with a passion for artificial intelligence, particularly machine learning. My academic journey began with a BSc in Civil Engineering, followed by a Master’s degree in Business Analytics, which fueled my interest in data engineering and machine learning, and their applications in creating impactful solutions. Now, as a PhD student at the University of Derby, I’m expanding these interests into optimising energy harvesting devices in rail networks.

Beyond academics, I’m a hands-on learner who enjoys building things from the ground up. Whether it’s working on predictive models or developing structured learning programs, I find satisfaction in experimentation and iteration. Outside of my PhD, I play the piano rather well. In my free time, I teach gospel, jazz, blues, and neo-soul piano to people interested in learning. I really love playing the piano, as I have been doing so since I was eight years old.

Ultimately, I find myself sitting at the intersection of vibration engineering, data science, and machine learning, where I explore innovative ways to solve real-world problems. With my research, I aim to address the issue of wasted energy from trains by developing AI solutions that can intelligently capture and repurpose this energy, contributing to more sustainable and efficient transport systems.

Thesis title

Data Driven and Machine Learning Applications in Energy Harvesting Devices

Supervisors

• Dr Uchenna Diala
• Professor Paul Wood
• Dr Nasser Sherkat

Teaching responsibilities

• Support undergraduate Calculus modules
• Support students during engineering workshops and tutorials

Qualifications

• PhD (in progress), Machine Learning Applications in  Energy Harvesting Systems – University of Derby; January 2025 - June 2029
• MSc, Business Analytics – University of Birmingham; September 2023 - December 2024
• BSc, Civil Engineering – Covenant University; August 2015 - December 2020