Dr Mario de Oliveira

Senior Lecturer in Electrical/Electronic Engineering

School of Engineering and the Built Environment - BE

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.

Areas of Expertise

Qualifications

Teaching

Research

Publications

Journal Papers

Machado, T.J.; Vieira Filho, J.; de Oliveira, M.A. Forensic Speaker Verification Using Ordinary Least Squares, Sensors 2019, 19, 4385. https://doi.org/10.3390/s19204385
Barth, V.B.O.; Oliveira, R.; de Oliveira, M.A.; Nascimento, V.E. Vehicle Speed Monitoring using Convolutional Neural Networks. IEEE Latin America Transactions, v. 17, p. 1000-1008, 2019; DOI: 10.1109/TLA.2019.8896823
De Oliveira, M. A.; Monteiro, A.; Jozue Vieira Filho. A New Structural Health Monitoring Strategy Based on PZT Sensors and Convolutional Neural Network, Sensors 2018, 18(9), 2955; https://doi.org/10.3390/s18092955.
Monteiro, A. ; De Oliveira, M.A. ; De Oliveira, R. ; Da Silva, T. Embedded application of convolutional neural networks on Raspberry Pi for SHM. Electronics Letters, v. 54, p. 680-682, 2018; DOI: 10.1049/el.2018.0877
De Oliveira, M.A.; Araujo, N.V.S.; DA Silva, R.N.; Tony Inacio da Silva, T.I.; Epaarachchi, J. Use of Savitzky-Golay Filter for Performances Improvement of SHM Systems Based on Neural Networks and Distributed PZT Sensors. Sensors 18(152):1-18., 2018; DOI:10.3390/s18010152
De Oliveira, M.A.; Araujo, N.V.S.; Inman, D.J.; Vieira Filho, J. Kappa-PSO-FAN Based Method for Damage Identification on Composite Structural Health Monitoring. Expert Systems with Applications 95:1-13; 2017. DOI:10.1016/j.eswa.2017.11.022
De Oliveira, M.A; Inman, D.J. Performance Analysis of Simplified Fuzzy ARTMAP and Probabilistic Neural Networks for Identifying Structural Damage Growth. Applied Soft Computing 12/2016; 2016. DOI:10.1016/j.asoc.2016.12.020
De Oliveira, M.A. Vieira Filho, J. Lopes Jr, V.; Inman, D.J. A new approach for structural damage detection exploring the singular spectrum analysis. Journal of Intelligent Material Systems and Structures 28(09):1160 – 1174; 2016. DOI:10.1177/1045389X16667549
De Oliveira, M.A; Inman, D.J. Simplified fuzzy ARTMAP network-based method for assessment of structural damage applied to composite structures. Journal of Composite Materials 50(25):3501-3514; 2015. DOI:10.1177/0021998315621964

Conference Papers

De Oliveira, M.A.; Araujo, N.V.S.; Inman, D.J.; Vieira Filho, J. A New Strategy for Damage Identification in SHM Systems by Exploring Kappa Coefficient. IWSHM 2017 The 11th International Workshop on Structural Health Monitoring, Stanford University; 09/2017, DOI:10.12783/shm2017/13947
De Oliveira, M.A; Inman, D.J. PCA-based Method for Damage Detection Exploring Electromechanical Impedance in a Composite Beam. 10th INTERNATIONAL WORKSHOP ON STRUCTURAL HEALTH MONITORING, Stanford, CA; 09/2015, DOI:10.12783/SHM2015/94
De Oliveira, M.A.; Vieira Filho, J. Lopes Jr, V.; Inman, D.J. Structural Damage Identification in an Aeronautical Panel Exploring the PCA and Delaunay Triangulation. 10th INTERNATIONAL WORKSHOP ON STRUCTURAL HEALTH MONITORING, 2015, Stanford University; 09/2015, DOI:10.12783/SHM2015/88
De Oliveira, M.A.; Vieira Filho, J. Lopes Jr, V.; Inman, D.J. A Novel Time-Domain Technique for Damage Detection Applied to SHM Using Savitzky-Golay Filter. Structural Health Monitoring 2013: A Roadmap to Intelligent Structures, Stanford University; 09/2013
De Oliveira, M.A.; Vieira Filho, J. Lopes Jr, V.; Inman, D.J. Damage Detection Based on Electromechanical Impedance Principle and Principal Components. Conference Proceedings of the Society for Experimental Mechanics Series; 02/2013, DOI:10.1007/978-1-4614-6585-0_28
De Oliveira, M.A.; Vieira Filho, J. Damage Detection Method Applied to SHM Using Principal Component Analysis and Loadings Rotation. SIMC 2012 - Proceedings of the IV Symposium of Intelligent Materials and Control, Ilha Solteira, SP,Brazil; 10/2012
De Oliveira, M.A.; Vieira Filho, J. Structural Health Monitoring based on AR models and PZT sensors. Sensors, 2012 IEEE; Taiwan, 10/2012, DOI:10.1109/ICSENS.2012.6411334
De Oliveira, M.A.; Tavares, M.C.; Moraes, R. Microcomputerized System to Assess the Performance of Infant Incubators. Proceedings of the First International Conference on Biomedical Electronics and Devices, BIODEVICES 2008, Funchal, Madeira, Portugal, Jan. 28-31, 2008, 2008