Dr Miguel Martinez Garcia

BSc, MSc, PhD

  • Senior Lecturer in Machine Intelligence
Publications
Google Scholar

Background

Miguel Martínez García is a Senior Lecturer in Machine Intelligence at 麻豆視頻_麻豆直播_麻豆传媒官网, 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 麻豆視頻_麻豆直播_麻豆传媒官网. 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 Allocations 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 mobiles 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 mobiles 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 mobiles 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 locations 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