Dr Miguel Martinez Garcia

B.Sc, MSc, PhD

  • Senior Lecturer in Human Machine Systems
Publications
Google Scholar

Background

Miguel Martínez García is a Senior Lecturer in Machine Intelligence at Loughborough University, UK. He 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 (2017-20) in various machine learning projects – both at the University of Lincoln and at the Advanced Virtual Reality Research Centre (AVRRC) at Loughborough University. 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

Outline of main research interests

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

Current teaching responsibilities:

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

Current administrative responsibilities:

  • Member of the University Senate

Zhang, F, Han, G, Liu, L, Martinez-Garcia, M, Peng, Y (2023) Deep Reinforcement Learning Based Cooperative Partial Task Offloading and Resource Allocation for IIoT Applications, IEEE Transactions on Network Science and Engineering, 10(5), pp.2991-3006, DOI: 10.1109/TNSE.2022.3167949.

Xia, D, Shi, J, Wan, K, Wan, J, Martinez-Garcia, M, Guan, X (2023) Digital Twin and Artificial Intelligence for Intelligent Planning and Energy-Efficient Deployment of 6G Networks in Smart Factories, IEEE Wireless Communications, 30(3), pp.171-179, ISSN: 1536-1284. DOI: 10.1109/MWC.017.2200495.

Xia, D, Jiang, C, Wan, J, Jin, J, Leung, VCM, Martínez-García, M (2022) Heterogeneous Network Access and Fusion in Smart Factory: A Survey, ACM Computing Surveys, 55(6), ISSN: 0360-0300. DOI: 10.1145/3530815.

Liu, L, Han, G, Xu, Z, Shu, L, Martinez-Garcia, M, Peng, B (2022) Predictive Boundary Tracking Based on Motion Behavior Learning for Continuous Objects in Industrial Wireless Sensor Networks, IEEE Transactions on Mobile Computing, 21(9), pp.3239-3249, ISSN: 1536-1233. DOI: 10.1109/TMC.2021.3049220.

Liu, L, Zhou, Z, Han, G, Martinez-Garcia, M (2022) Boundary Tracking of Continuous Objects Based on Feasible Region Search in Underwater Acoustic Sensor Networks, IEEE Transactions on Mobile Computing, ISSN: 1536-1233. DOI: 10.1109/TMC.2022.3193990.

Martinez-Garcia, M, Zhang, E, Wang, S (2022) Mitigating threshold effects in human control by stochastic resonance with fractional colored noise, IEEE/ASME Transactions on Mechatronics, 27(6), pp.5551-5559, ISSN: 1083-4435. DOI: 10.1109/tmech.2022.3185451.

Saha, B, Martinez-Garcia, M, Bhattacharya, SN, Joshi, R (2022) Overcoming choice inertia through social interaction—an agent-based study of mobile subscription decision, Games, 13(3), 47, DOI: 10.3390/g13030047.

He, Y, Han, G, Xu, M, Martinez-Garcia, M (2022) A Pseudopacket Scheduling Algorithm for Protecting Source Location Privacy in the Internet of Things, IEEE Internet of Things Journal, 9(12), pp.9999-10009, DOI: 10.1109/JIOT.2021.3117957.

He, Y, Han, G, Tang, Z, Martinez-Garcia, M, Peng, Y (2022) State Prediction-Based Data Collection Algorithm in Underwater Acoustic Sensor Networks, IEEE Transactions on Wireless Communications, 21(4), pp.2830-2842, ISSN: 1536-1276. DOI: 10.1109/TWC.2021.3116050.

Chen, B, Zhang, E, Xia, X, Martinez-Garcia, M, Jombo, G (2022) Knowledge sharing enabled multi-robot collaboration for preventive maintenance in mixed model assembly, IEEE Transactions on Industrial Informatics, 18(11), pp.8098-8107, ISSN: 1551-3203. DOI: 10.1109/TII.2022.3158978.

View publications in our central publications database

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