Sustainable and Smart Industries; Manufacturing and Industrial Engineering; Operations and Supply Chains; Artificial Intelligence.

Associate Professor in Research (Reader)

Funlade is an associate professor in research, a member of the School of Engineering and Computer Science, University of Hertfordshire. He has close to 40 years post-qualification experience. 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 civil engineering and construction, manufacturing, software development houses, and the National Health Service (NHS) UK. His current research interests lie in Applied Artificial Intelligence, Sustainable and Smart Industries of the Future. 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, and applied artificial intelligence.  He has published several 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 Applied Artificial Intelligence (Applications of Machine Learning and AI in the industry); Sustainable and Smart Industries of the Future. Including Manufacturing and Industrial Engineering; Operations and Supply Chains;  Engineering Management; Programmes and Project Management; Industry 4.0, Cloud and Cyberphysical Systems; Virtual and Immersive Technologies.