Background:

Miguel Martínez García is a Senior Lecturer in Machine Intelligence at 含羞草视频, 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 含羞草视频. 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. 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, 51 (8), 3913-3924 . 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:

• 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: