University of Hertfordshire

Dr Funlade Sunmola BEng (Hons), MSc, MA, PhD

Funlade Sunmola

Dr Funlade Sunmola BEng (Hons), MSc, MA, PhD

Postal address:
University of Hertfordshire, Hatfield, Hertfordshire
United Kingdom

Overview

Funlade is a Senior Lecturer in Manufacturing and Enterprise Engineering, a member of the Manufacturing, Material and Biomedical group of the School of Engineering and Technology, University of Hertfordshire.  He earned his first degree BEng (Hons) in Civil Engineering at the Ahmadu Bello University Zaria. He obtained Masters Degrees (MSc) in Industrial Engineering from the University of Ibadan and MA in Accounting and Finance from Birmingham City University. He studied Manufacturing Engineering (MPhil) at the University of Birmingham and earned his PhD in Computer Science (Artificial Intelligence and Robotics) also from the University of Birmingham.

Funlade has several years of professional industrial and academic experience in higher education teaching and learning, consultancy and management having worked in a variety of sectors including construction, manufacturing, software development houses, and the National Health Service (NHS) UK. His current research interests lie in manufacturing, engineering informatics, enterprise systems, processes and operations. He has been involved with various research projects in a diverse range of contexts, e.g.  electronic monitoring systems, products, manufacturing and operations intelligence, benchmarking of manufacturing and service operations; business process improvements and service transformations; SC21 – Supply chains of the twenty-first century; sequential decision making and optimised learning, and various performance modelling studies.  He is especially interested in advances related to industry 4.0, the applications of advanced computing, information and communication technologies.  He has published academic papers, and acted as referee, in the subject area. Funlade is a Prince2 Registered Practitioner - certified project manager.

Accepting Research Students (PhD and Engineering Doctorate (EngD)) particularly in the areas of Industrial Engineering; Manufacturing Engineering; Operations and Supply Chains;  Engineering and Project Management; Industry 4.0, Cloud and Cyberphysical Systems; Virtual and Immersive Technologies; and Applications of Machine Learning and AI in Engineering.

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