Aeronautical and Automotive Engineering

Staff

Dr Miguel Martinez García

Photo of Dr Miguel Martinez García

Lecturer in Human-machine Systems

Miguel Martinez García received a BSc degree in Mathematics from the Polytechnic University of Catalonia (UPC), Spain in 2013, an MSc in Advanced Mathematics and Mathematical Engineering (MAMME) from the same university in 2014, and a PhD in Engineering from the University of Lincoln, UK, in 2018. He also worked as a researcher from 2017, both at the University of Lincoln and at the Advanced Virtual Reality Research Centre (AVRRC) in Loughborough.

In 2020 he became a Lecturer in Human-machine Systems at Loughborough University. His research interests include human-machine integration, machine learning, artificial intelligence, intelligent signal processing, and complex systems, with particular focus in the analysis of non-linear signals representing phenomena of interest between humans and machines.

Qualifications

  • Ph.D, in Engineering, University of Lincoln, UK, 2018
  • M.Sc, in Mathematics, Faculty of Mathematics and Statistics, Universidad Politécnica de Cataluña (UPC), Spain, 2014
  • B.Sc, in Mathematics, Faculty of Mathematics and Statistics, Universidad Politécnica de Cataluña (UPC), Spain, 2013

 

Patents:  

  • (WO2019166214) ANALYSIS METHOD FOR A GAS TURBINE

Outline of main research interests:

  • Artificial Intelligence
  • Human-machine integration
  • Human performance Modelling
  • Dynamical and Complex Systems
  • Non-linear Time Series Analysis
  • Fractional Calculus

Martínez-García, M., Zhang, Y., Suzuki, K. , Zhang, YD. (2020) Deep Recurrent Entropy Adaptive Model for System Reliability Monitoring. IEEE Transactions on Industrial Informatics, nan(nan). https://doi.org/10.1109/TII.2020.3007152

Martínez-García, M., Kalawsky, R. , Gordon, T. , Smith, T , Meng, Q. , Flemisch, F. (2020) Communication and Interaction With Semiautonomous Ground Vehicles by Force Control Steering. IEEE Transactions on Cybernetics, nan(nan). https://doi.org/10.1109/TCYB.2020.3020217

Zhang, Y., Martínez-García, M., Kalawsky, R.S., Latimer, A. (2020) Grey-box modelling of the swirl characteristics in gas turbine combustion system. Measurement: Journal of the International Measurement Confederation, 151. https://doi.org/10.1016/j.measurement.2019.107266

Huo, Z., Martinez-Garcia, M., Zhang, Y., Yan, R., Shu, L. (2020) Entropy Measures in Machine Fault Diagnosis: Insights and Applications. IEEE Transactions on Instrumentation and Measurement, 69(6). https://doi.org/10.1109/TIM.2020.2981220

Martínez-García, M., Zhang, Y., Gordon, T. (2019) Memory Pattern Identification for Feedback Tracking Control in Human–Machine Systems. Human Factors, -. https://doi.org/10.1177/0018720819881008

Martinez-Garcia, M., Gordon, T., Shu, L. (2017) Extended Crossover Model for Human-Control of Fractional Order Plants. IEEE Access, 5. https://doi.org/10.1109/ACCESS.2017.2778013

Martínez-García, M., Zhang, Y., Gordon, T. (2016) Modeling Lane Keeping by a Hybrid Open-Closed-Loop Pulse Control Scheme. IEEE Transactions on Industrial Informatics, 12(6). https://doi.org/10.1109/TII.2016.2619064

External collaborators:

  • Teledyne e2v
  • Airbus
  • deeplearning.ai
  • Universidad Politécnica de Cataluña (UPC), Spain
  • University of Leicester
  • Dalian University of Technology, China
  • University of Lincoln

 

  • IEEE Member
  • Member of the Reviewer Board in MDPI Future Internet
  • Deep Learning Consultant at DEEPLEARNING.AI, Silicon Valley, California.