Congratulations Tamakloe Elvis

Tamakloe Elvis is a graduating MPhil student from the Department of Computer Engineering at KNUST. His research interests are predictive maintenance, energy disaggregation, machine learning, artificial intelligence and smart energy systems.

For his MPhil thesis, he developed a novel Dynamic Multi-Scale Attention-based Convolutional Neural Network-Long Short-Term Memory (DMSA CNN-LSTM) architecture. He researched how utilising multi-modal data fusion addresses shortcomings in distribution oil-immersed transformer anomaly detection, root cause localisation and remaining useful lifetime prediction. His work highlights how the proposed scalable data-driven architectures dynamically select the most vital features across varying time scales to capture intricate details in transformer operations. His research showed vast improvement over existing architectures, thus providing a new benchmark for deployment in real-life settings.

The KNUST Engineering Education Project (KEEP) has been pivotal in his academic success by providing financial support. He is very thankful for the support and encouragement from his supervisor, Prof. Eur. Ing. Benjamin Kommey, and the entire management of KEEP, led by Prof. Jerry John Kponyo.

He also extends his appreciation to the Responsible Artificial Intelligence Lab for providing the environment for his successful growth as a research student.