Dr Mario de Oliveira

Senior Lecturer in Electrical/Electronic Engineering

School of Engineering and the Built Environment
Email:
mario.deoliveira@bcu.ac.uk

Dr Mario de Oliveira is a Senior Lecturer in Electrical/Electronic Engineering in the Faculty of Computing, Engineering and the Built Environment at Birmingham City University. He has extensive cross-disciplinarily research and teaching experience across Computing, Engineering and Technology. Mario’s knowledge and expertise are across boundaries of electronic, biomedical, structural health monitoring systems (SHM), signal processing, embedded systems and neural networks, which are generally applied for applications of infrastructure such as aircraft, machinery, automotive, building and wind turbines.

In 2005, he received a BSc in Electrical Engineering from the Federal University of Goias (Brazil). In 2007, he received an MSc in Electrical Engineering from the Federal University of Santa Catarina (Brazil), where he developed a system to monitor the functionality of infant incubators (Biomedical Engineering). In 2013, he received a PhD in Electrical Engineering from São Paulo State University (UNESP, São Paulo), where he focused on using signal processing techniques applied to identify structural damage in an aluminium aeronautical panel. From 2014 to 2015, he had the odd opportunity to become a Research Scholar at the University of Michigan, USA (Aerospace Department). His research focused on using Neural Network applied to identify structural damage in composite materials.

Before joining BCU in 2021, he has got a status of associate professor at the Mato Grosso Federal Institute of Technology (IFMT-Brazil), where he worked for about 13 years. There, he had led several courses in the control/automation and computing engineering programs. He has also served as head of the control and automation engineering program for about 2 years. Over the last years, he has published several high impact journals papers and also conferences papers, encompassing multidisciplinary areas including Mechanical, Biomedical and Electrical/Electronic, computing engineering.

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