Profile

Carlos Morena Garcia
First Name: Carlos
Surname: Moreno Garcia
Position: Research Fellow
Telephone: +44 (0) 1224 262790
Email:
ORCID: ORCID Icon http://orcid.org/0000-0001-7218-9023

Academic Background

  • 2010: Bachelor degree in Electronical Engineering (major in Telecommunication), Tecnologico de Monterrey, Mexico City, Mexico.
  • 2013: Master’s degree in Information Security and Artificial Intelligence, University Rovira i Virgili, Tarragona, Spain.
  • 2016: Ph. D. degree in Computer Engineering and Mathematics of Security, University Rovira i Virgili, Tarragona, Spain.

Research Interests

Dr. Moreno’s research interests are based around pattern recognition, computer vision and machine learning. He has published several journal and conference papers related on biometrics, graph matching, and consensus frameworks. Likewise, he has also collaborated in projects on public health assessment.

He is currently a research fellow at The Robert Gordon University, where he is in charge of developing application projects for the Oil & Gas industry. 


Publications

  • C. F. Moreno-García, F. Serratosa & X. Cortés, “Generalised Median of a Set of Correspondences Based on the Hamming Distance”. Structural, Syntactic, and Statistical Pattern Recognition (S+SPR 2016), Merida, Mexico, vol. 10029, pp. 507–518.
  • F. Serratosa, X. Cortés & C. F. Moreno-García, “Graph Edit Distance or Graph Edit Pseudo-Distance?,”. Structural, Syntactic, and Statistical Pattern Recognition (S+SPR 2016), Merida, Mexico, vol. 410, pp. 530–540.
  • C. F. Moreno-García, X. Cortés & F. Serratosa, “A Graph Repository for Learning Error-Tolerant Graph Matching,” in Structural, Syntactic, and Statistical Pattern Recognition (S+SPR 2016), Merida, Mexico, LNCS vol. 10029, pp. 519–529.
  • X. Cortés, F. Serratosa & C. F. Moreno-García, “Semi-automatic pose estimation of a fleet of robots with embedded stereoscopic cameras”. Emerging Technologies and Factory Automation (ETFA 2016), Berlin, Germany.
  • C. F. Moreno-García & F. Serratosa, “Obtaining the Consensus of Multiple Correspondences between Graphs through Online Learning”. Pattern Recognition Letters. Available online, http://dx.doi.org/10.1016/j.patrec.2016.09.003, 2016.
  • C. F. Moreno-García, M. Aceves-Martins & F. Serratosa, "Unsupervised Machine Learning Application to Perform a Systematic Review and Meta-Analysis in Medical Research". Computación y Sistemas. Vol. 20 No. 1, pp. 7-17. DOI 10.13053/CyS-20-1-2360. 2016.
  • M. Aceves-Martins, E. Llauradó, L. Tarro, C. F. Moreno-García, T. G. Trujillo Escobar, R. Solà, M. Giralt, “Effectiveness of social marketing strategies to reduce youth obesity in European school-based interventions: a systematic review and meta-analysis”. Nutrition Reviews. DOI 10.1093/nutrit/nuw004. 2016. Impact Factor: 6.071.
  • C. F. Moreno-García & F. Serratosa, “Consensus of Multiple Correspondences between Sets of Elements”. Computer Vision and Image Understanding. Vol 142, pp. 50–64. http://dx.doi.org/10.1016/j.cviu.2015.08.008. 2016. Impact Factor: 1.54.
  • C. F. Moreno-García & F. Serratosa, “Online Learning the Consensus of Multiple Correspondences between Sets”. Knowledge-Based Systems. DOI 10.1016/j.knosys.2015.09.034. 2015. Impact Factor: 2.947.
  • X. Cortés, F. Serratosa & C. F. Moreno-García, "Ground Truth Correspondence between Nodes to Learn Graph-Matching Edit-Costs". Computer Analysis of Images and Patterns (CAIP 2015), Valletta, Malta, Part I, LNCS 9256, pp. 113–124.
  • C. F. Moreno-García, Serratosa, F., Cortés, X., “Iterative Versus Voting Method to Reach Consensus Given Multiple Correspondences of Two Sets”. Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2015), Santiago de Compostela, Spain. LNCS 9117, pp. 530-540.
  • X. Cortés, F. Serratosa & C. F. Moreno-García, “On the Influence of Node Centralities on Graph Edit Distance for Graph Classification”. Graph Based Representations and Pattern Recognition (GbR 2015), Beijing, China. LNCS 9069, pp. 231–241.
  • C. F. Moreno-García & F. Serratosa, X. Cortés, “Consensus of Two Graph Correspondences through a Generalisation of the Bipartite Graph Matching”. Graph Based Representations and Pattern Recognition (GbR 2015), Beijing, China. LNCS 9069, pp. 87–97.
  • C. F. Moreno-García & F. Serratosa, “Correspondence Consensus of Two Sets of Correspondences through Optimisation Functions”. Pattern Analysis and Applications. DOI 10.1007/s10044-015-0486-y. 2015. Impact Factor: 0.646.
  • X. Cortés, C. F. Moreno-García & F. Serratosa, “An Interactive Model for Structural Pattern Recognition based on the Bayes Classifier”. 4th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2015), Lisbon, Portugal, pp. 240-247.
  • C. F. Moreno-García & F. Serratosa, "Fast and Efficient Palmprint Identification of a Small Sample within a Full Image". Computación y Sistemas. Vol. 18 No. 4, pp. 683-691. DOI 10.13053/CyS-18-4-2059. 2014.
  • X. Cortés, C. F. Moreno-García & F. Serratosa, “Learning Graph-Matching Substitution Costs Based on the Optimality of the Oracle's Correspondence”. The 20th Iberoamerican Congress on Pattern Recognition (CIARP 2014), Puerto Vallarta, México. LNCS 506.
  • C. F. Moreno-García, X. Cortés & F. Serratosa, "Partial to Full Image Registration Based on Candidate Positions and Multiple Correspondences". The 20th Iberoamerican Congress on Pattern Recognition (CIARP 2014), Puerto Vallarta, México. LNCS 745.
  • C. F. Moreno-García & F. Serratosa "Weighted Mean Assignment of a Pair of Correspondences using Optimisation functions". Syntactic and Structural Pattern Recognition (S+SPR 2014), Joensuu, Finland, LNCS 8621, pp. 301–311.
  • X. Cortés, C. F. Moreno-García & F. Serratosa, "Improving the Correspondence Establishment based on Interactive Homography Estimation". Computer Analysis of Images and Patterns (CAIP 2013), York, United Kingdom, LNCS 8048, pp: 457-465.
  • L. Aranzeta-Ojeda, C. F. Moreno-García, A. Granados-Reyes, E. Lopez-Caudana & R. Bustamante-Bello, “Design, Development and Testing of a Low-Cost, High Sensitivity System for Neurodegenerative Disease Detection and Characterization”. The 6th International Conference on Microtechnologies in Medicine and Biology (MMB 2011), Lucerne, Switzerland.
  • L. Aranzeta-Ojeda, C. F. Moreno-García, E. Lopez-Caudana & R. Bustamante-Bello, “Design, Development and Testing of a Low-Cost, High Sensitivity System for Neurodegenerative Disease Detection and Characterization”. IEEE 24th International Conference on Micro Electro Mechanical Systems (MEMS 2011), Cancun, México.

Projects and Grants

  • (2017-, 12 months): Digitization Platform for Processing, Detecting and Classifying Symbols in Engineering Drawings. The Robert Gordon University.
  • (2014-2016, 36 months): Spanish National Project “Community Networks & Clouds” (Cloud4comm). University Rovira i Virgili. Code TIN2013-47245-C2-2-R
  • (2014-2015, 18 months): A Semi-Supervised and Interactive Method to help a Team of Robots to Solve the Object Identification Problem through Images. University Rovira i Virgili. Code 2014-LINE-01.
  • (01/02/2016 - 30/04/2016): Collaboration grant to implement a webpage for the Didactics in Mathematics (DIDACMAT) research group. University Rovira i Virgili. Code ICEA11_1516_DIDACMAT_2A_CONV.
  • (15/01/2015 - 14/04/2015): Collaboration grant to implement a webpage for the non-profit journal PsicoBio. University Rovira i Virgili. Code ICE_A09_1415
  • (15/12/2013 - 14/02/2014): Collaboration grant to support the innovation SMILE project (Students of Mobility & Learning English). Webpage Design and Computing Assistance. University Rovira i Virgili. Code ICEC01/13_SMILE.