天堂视频

Aeronautical and Automotive Engineering

Staff

Dr Miguel Mart铆nez Garc铆a B.Sc, MSc, PhD

Photo of Dr Miguel Mart铆nez Garc铆a

Senior Lecturer in Machine Intelligence

Background:

Miguel Martínez García is a Senior Lecturer in Machine Intelligence at 天堂视频, UK. He received a BSc degree in Mathematics from the Polytechnic University of Catalonia (UPC), Spain in 2013, a 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 (2017-20) in various machine learning projects – both at the University of Lincoln and at the Advanced Virtual Reality Research Centre (AVRRC) at 天堂视频. His research interests include engineering applications of AI, such as machine prognosis, intelligent systems, and human-machine integration.

Self-funded PhD students are welcome.

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

Key awards:

  • Fellow of the Higher Education Academy (FHEA), 2022

Patents:

  • (WO2019166214) ANALYSIS METHOD FOR A GAS TURBINE, 2019

Teaching responsibilities:

  • TTC103 Sensor Fusion
  • TTC201 Machine Intelligence
  • TTP014 Technical Computing

Administrative responsibilities:

  • Member of the University Senate

 

Outline of main research interests:

  • Artificial Intelligence
  • Statistical Learning
  • Complex Systems
  • Non-linear time series analysis
  • Human-machine Systems

Martínez-García, M., Zhang, Y., & Wang, S. (2022). Mitigating Threshold Effects in Human Control by Stochastic Resonance With Fractional Colored Noise. IEEE/ASME Transactions on Mechatronics, 27(6), 5551-5559. https://doi.org/10.1109/TMECH.2022.3185451

Martínez-García, M., Zhang, Y., Suzuki, K. , Zhang, YD. (2020) Deep Recurrent Entropy Adaptive Model for System Reliability Monitoring. IEEE Transactions on Industrial Informatics, 17 (2), 839-848.

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, 51 (8), 3913-3924 . 

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. 

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). 

Martínez-García, M., Zhang, Y., Gordon, T. (2019) Memory Pattern Identification for Feedback Tracking Control in Human–Machine Systems. Human Factors, -. 

Martinez-Garcia, M., Gordon, T., Shu, L. (2017) Extended Crossover Model for Human-Control of Fractional Order Plants. IEEE Access, 5. 

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). 

External collaborators:

  • MBDA, UK
  • Amygda Labs
  • Dynex Semiconductor
  • Deeplearning.ai
  • Teledyne e2v
  • Universidad Politécnica de Cataluña (UPC), Spain
  • University of Leicester
  • University of Lincoln

External roles and appointments:

  • IEEE Senior Member
  • Deep Learning consultant for DEEPLEARNING.AI, Silicon Valley, California, 2020
  • AI consultant for MBDA, UK, 2022-24