Maren completed his BSc in computer science from the University of Jos in 2008. He obtained his MSc in Computer Forensics and cybersecurity from the University of Greenwich London in 2015. Maren is now in Cranfield University pursuing his PhD in the Integrated Vehicle Health Management (IVHM) centre working on data analytics for predictive maintenance in aerospace. Maren has worked as a research assistant, machine learning analyst, digital forensic and cybersecurity engineer at several companies including the School of Water, Energy and Environment (SWEE) Cranfield University and Nigerian Security and Civil Defence Corps. As a machine learning analyst, Maren applied machine learning to infer individual loads from aggregate energy consumption data. He was also responsible for researching and deploying machine learning and deep learning models as scalable prototypes for user evaluation. His other roles include building and maintaining data pipelines and products using Python and data analysis tools including MySQL, Tableau, Jupyter and dash. His current research interests involve big data analytics, machine learning and predictive maintenance techniques in the aerospace industry.
Imbalance learning for industrial application
application of reinforcement learning for vehicle maintenance