Maria Bermudez-Edo

Associate Professor

University of Granada

A telecoms engineer with extensive international experience of working for leading ICT firms and organisations, I have worked in multidisciplinary and multicultural teams in Europe, Asia, and North America. My core expertise is in Internet of Things (IoT), Data Analytics and the use of IT in business, especially the use of Semantics for business analysis (which was the focus of my PhD). Open minded and adaptable, I have a flexible approach to problem solving. I have successfully completed projects in the private and public sector, always delivering on time and to a high standard. I was a postdoc Research Fellow at the University of Surrey, with two previous long secondments to the University of Berkeley and ETH Zurich, which developed my skills in research, teaching, and project management, in the areas of Internet of Things, Future Internet, Data Analytics and Semantics. While at Granada I obtained two MScs and a PhD (all with distinction). Previously, I worked at the European Patent Office and with leading private telecom companies (Siemens and Telefonica). This experience has provided me with an extensive knowledge of telecom innovation and know-how in computer networks and protocols.

My Research

Latest Research Highlights

New results published within our MIoT-Health research project:

  • Deep Generative Models in the Industrial Internet of Things: a Survey. IEEE Transactions on Industrial Informatics. (JCR Q1)
  • A Machine Learning Approach for Semi-automatic Assessment of IADL Dependence in Older Adults with Wearable Sensors. International Journal of Medical Informatics. (JCR Q1)

  • Selection of papers

  • De, S., Bermudez-Edo, M., Xu, H., & Cai, Z. (2022). Deep Generative Models in the Industrial Internet of Things: a Survey. IEEE Transactions on Industrial Informatics.
  • García-Moreno, F. M., Bermudez-Edo, M., Rodríguez-García, E., Pérez-Mármol, J. M., Garrido, J. L., & Rodríguez-Fórtiz, M. J. (2022). A Machine Learning Approach for Semi-automatic Assessment of IADL Dependence in Older Adults with Wearable Sensors. International Journal of Medical Informatics, 104625.
  • Martín, J. C. G., Guirado, D., Frattin, E., Bermudez-Edo, M., ... & Muñoz, O. (2021). On the application of scattering matrix measurements to detection and identification of major types of airborne aerosol particles: Volcanic ash, desert dust and pollen. Journal of Quantitative Spectroscopy and Radiative Transfer, 271, 107761.
  • Garcia-Moreno, F. M., Bermudez-Edo, M., Garrido, J. L., & Rodríguez-Fórtiz, M. J. (2020). Reducing Response Time in Motor Imagery Using A Headband and Deep Learning. Sensors, 20(23), 6730.
  • Elsaleh, T., Enshaeifar, S., Rezvani, R., Acton, S. T., Janeiko, V., & Bermudez-Edo, M. (2020). IoT-Stream: A Lightweight Ontology for Internet of Things Data Streams and Its Use with Data Analytics and Event Detection Services. Sensors, 20(4), 953.
  • Garcia-Moreno, F. M., Bermudez-Edo, M., Garrido, J. L., Rodríguez-García, E., Pérez-Mármol, J. M., & Rodríguez-Fórtiz, M. J. (2020). A microservices e-Health system for ecological frailty assessment using wearables. Sensors, 20(12), 3427.
  • Şefki Kolozali, Maria Bermudez-Edo, Nazli Faraji Davar, Payam Barnaghi, Feng Gao, Muhammad Intizar Ali, Alessandra Mileo, Marten Fischer, Thorben Iggena, Daniel Kuemper, Ralf Tonjes (2019). Observing the Pulse of a City: A Smart City Framework for Real-time Discovery, Federation, and Aggregation of Data Streams. IEEE Internet of Thing Journal, vol. 6, no. 2, pp. 2651-2668, doi: 10.1109/JIOT.2018.2872606.
  • Bermudez-Edo, Maria; Barnaghi, Payam; Klaus Moessner. Analysing Real World Data Streams with Spatio-Temporal Correlations: Entropy vs. Pearson Correlation. Automation in Construction 88C (2018) pp. 87-100.
  • Leyva-de la Hiz, Dante. Hurtado-Torres, Nuria; Bermudez-Edo, María. The Heterogeneity of Levels of Green Innovation by Firms in International Contexts: A Study Based on the Home-Country Institutional Profile. Organization & Environment (O&E).
  • Bermudez-Edo, Maria; Barnaghi, Payam (2018). Spatio-Temporal Analysis for Smart City Data. WWW2018.
  • Bermudez-Edo, Maria; Elsaleh, Tarek; Barnaghi, Payam; Taylor, Kerry. 2017. IoT-Lite: A Lightweight Semantic Model for the Internet of Things and its Use with Dynamic Semantic. Personal and Ubiquitous Computing. Springer June 2017, Volume 21, Issue 3, pp 475–487.
  • Bermudez-Edo, Maria; Elsaleh, Tarek; Barnaghi, Payam; Taylor, Kerry. 2015. IoT-Lite Ontology. W3C Member Submission. 26 November 2015 “pdf Updated version:
  • Bermudez-Edo, Maria; Hurtado-Torres, N., Ortiz, N. The Influence of International Scope on the Relationship Between Patented Environmental Innovations and Firm Performance. Business and Society 56(2): 357-387, 2017.
  • Sergio Ricciardi, Jose Roberto Amazonas, Francesco Palmieri, and Maria Bermudez-Edo, Ambient Intelligence in the Internet of Things. Mobile Information Systems, vol. 2017, Article ID 2878146, 3 pages, 2017. doi:10.1155/2017/2878146.
  • Kolozali, S., Puschmann, D., Bermudez-Edo, M., & Barnaghi, P. (2016). On the Effect of Adaptive and Non-Adaptive Analysis of Time-Series Sensory Data. IEEE Internet of Thing Journal. “pdf
  • Barnaghi, Payam; Bermudez-Edo, Maria; Toenjes, Ralf. 2015. Challenges for Quality of Data in Smart Cities. ACM Journal of Data and Information quality. “pdf
  • Bermudez-Edo, M., Hurtado, M. V., Noguera, M., & Hurtado-Torres, N. (2015). Managing technological knowledge of patents: HCOntology, a semantic approach. Computers in Industry. “pdf
  • Kolozali, Sefki; Bermudez-Edo, Maria; Puschmann, Daniel; Barnaghi, Payam. 2014. A Knowledge-based Approach for Real-Time IoT Data Stream Annotation and Processing. IEEE Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom). 215-222. “pdf
  • Bermudez-Edo, Maria; Noguera-García, Manuel; Hurtado-Torres, Nuria Esther; Hurtado-Torres, Maria Visitacion; Garrido-Bullejos, José Luis. 2013. Analyzing a firm's international portfolio of technological knowledge: A declarative ontology-based OWL approach for patent documents. Advanced engineering informatics. 27: 358-365. “pdf

  • Recent International Projects


  • EU H2020 FIESTA: Federated Interoperable Semantic IoT/cloud Testbeds and Applications.
  • EU FP7-2012-ICT-FI collaborative Project, FI-Core/FIWARE: Future Internet Core Platform Extension, Availability and Sustainability.
  • EU FP7 CityPulse: Real-Time IoT Stream Processing and Large-scale Data Analytics for Smart City Applications.
  • EU FP7 IoT.est: Internet of Things Environment for Service Creation and Testing. Small or medium-scale focused research project (STREP).
  • EU COST ACTION IC0903 MOVE: knowledge discovery from moving objects.

  • Sporadic Collaborations on the creation of the ontologies for the EU H2020 IoT-Crawler: a search engine for Internet of Things devices and the project EU H2020 Activage: Multi Centric Large Scale Pilot on Smart Living Environments.


    Current National Project (Co-Principal Investigator)


  • PID2019 MIoT-Health: Microservice-oriented design of IoT systems for a holistic and ecological assessment in eHealth - A case study of active and healthy ageing.
    MIoT-Health is a research project funded by the Spanish Ministry of Science and Innovation (Agencia Estatal de Investigación). Project ref. PID2019-109644RB-I00
  • This year teaching

    Master degree, undergraduate IS at University of Granada

    Master Degree


    Ubiquitous Computating (IoT)
    Semantic Web
    Projects
    e-Commerce

    Undergraduate


    Object Oriented Programming

    Seminars


    Internet of Things
    Smart Cities
    Online Booking Engine

    Previous years teaching

    Same of the stuff I tought during my carreer:

    Multidimensional Databases
    Distributed Computing
    Computer Networks
    Data Tranmission
    Software foundations
    Distributed Databases
    Bussiness Information Systems
    Network Management
    etc...


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