Tamakloe Elvis is currently a PhD Candidate specializing in predictive maintenance AI solutions for electrical machines (Transformers) at the Faculty of Electrical and Computer Engineering-KNUST. He has engaged in impact projects spanning machine learning and data analytics, where he applied theoretical principles to solve real-world problems.

With a background in Electrical and Computer Engineering, Elvis’s academic journey is marked by a strong commitment to interdisciplinary collaboration, having worked with mentors to explore the sections of AI in Energy/Power Systems and Smart Cities. His research endeavors have led to significant contributions in impactful journals such as IET Electric Power Applications, IET Smart Cites, Engineering Reports, and over 20 publications. He is hungry to continue expanding his knowledge and imagination while engaging with the broader scientific community. Elvis looks forward to future collaborations and the opportunity to advance understanding in his field through rigorous research and innovation.