Dr Ana Matran-Fernandez
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Email
amatra@essex.ac.uk -
Location
5B.539, Colchester Campus
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Academic support hours
My academic support hours are on Mondays 2pm-3pm and Wednesdays 1pm-2pm
Profile
Qualifications
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PhD University of Essex, (2017)
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MSc Biomedical Engineering, University of Surrey, 2011
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BEng Telecommunications Engineering, University of Valladolid, 2010
Appointments
University of Essex
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Lecturer, School of Computer Science and Electronic Engineering, University of Essex (17/6/2021 - present)
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Artificial Intelligence Industry Fellow, Institute for Analytics and Data Science, University of Essex (1/4/2018 - 16/6/2021)
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Senior Research Officer, School of Computer Science and Electronic Engineering, University of Essex (1/4/2016 - 31/3/2018)
Research and professional activities
Research interests
Brain-Computer interfaces
machine learning applied to biomedical signals
Event-Related Potentials (ERPs)
Memory
Decision-making
Algorithmic fairness
Neural engineering
Teaching and supervision
Current teaching responsibilities
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Data Science and Decision Making (CE888)
Previous supervision
Degree subject: Psychology
Degree type: Doctor of Philosophy
Awarded date: 1/7/2022
Publications
Journal articles (10)
Matran-Fernandez, A. and Halder, S., Cinematic Memories: EEG-Based Decoding of Recall Using Naturalistic Stimuli. IEEE Transactions on Affective Computing
Lotun, S., Lamarche, VM., Matran-Fernandez, A. and Sandstrom, GM., (2024). People perceive parasocial relationships to be effective at fulfilling emotional needs. Scientific Reports. 14 (1), 8185-
Lotun, S., Lamarche, VM., Matran‑Fernandez, A. and Sandstrom, GM., (2024). Author Correction: People perceive parasocial relationships to be effective at fulfilling emotional needs. Scientific Reports. 14 (1), 9986-
Valeriano, MG., Matran-Fernandez, A., Veiga Kiffer, CR. and Lorena, AC., (2024). Understanding the performance of machine learning models from data-to patient-level. Journal of Data and Information Quality. 16 (4), 1-19
Lotun, S., Lamarche, V., Samothrakis, S., Sandstrom, G. and Matran-Fernandez, A., (2022). Parasocial relationships on YouTube reduce prejudice towards mental health issues. Scientific Reports. 12 (1), 16565-
Daly, I., Matran-Fernandez, A., Valeriani, D., Lebedev, M. and Kübler, A., (2021). Editorial: Datasets for Brain-Computer Interface Applications. Frontiers in Neuroscience. 15, 732165-
Malesevic, N., Björkman, A., Andersson, GS., Matran-Fernandez, A., Citi, L., Cipriani, C. and Antfolk, C., (2020). A database of multi-channel intramuscular electromyogram signals during isometric hand muscles contractions.. Scientific Data. 7 (1), 10-
Matran-Fernandez, A., Rodriguez Martinez, IJ., Poli, R., Cipriani, C. and Citi, L., (2019). SEEDS, simultaneous recordings of high-density EMG and finger joint angles during multiple hand movements. Scientific Data. 6 (1), 186-
Matran-Fernandez, A. and Poli, R., (2017). Brain-Computer Interfaces for Detection and Localization of Targets in Aerial Images. IEEE Transactions on Biomedical Engineering. 64 (4), 959-969
Matran-Fernandez, A. and Poli, R., (2017). Towards the automated localisation of targets in rapid image-sifting by collaborative brain-computer interfaces. PLoS ONE. 12 (5), e0178498-e0178498
Book chapters (2)
Valeriani, D. and Matran-Fernandez, A., (2018). Past and Future of Multi-Mind Brain-Computer Interfaces. In: Brain-Computer Interfaces Handbook: Technological and Theoretical Advances. Editors: Nam, CS., Nijholt, A. and Lotte, F., . CRC Press. 685- 700. 9781498773430
Matran-Fernandez, A., Valeriani, D. and Poli, R., (2016). Toward BCIs Out of the Lab: Impact of Motion Artifacts on Brain-Computer Interface Performance. In: Wireless Medical Systems and Algorithms: Design and Applications. Editors: Salvo, P. and Hernandez-Silveira, M., . CRC Press. 219- 240. 1-4987-0076-4. 978-1-4987-0076-4
Conferences (21)
Matran-Fernandez, A. and Halder, S., Data-driven detection of memory encoding from EEG in an audiovisual task
Halder, S., Matran-Fernandez, A., Nawaz, R., Lopes da Silva, M., Bertoni, T., Noel, J-P., Jöhr, J., Serino, A., Diserens, K., Scherer, R. and Perdikis, S., TO REPEAT OR NOT TO REPEAT? ERP-BASED ASSESSMENT OF THE LEVEL OF CONSCIOUSNESS - A CASE STUDY
Sultana, M., Jain, O., Halder, S., Matran-Fernandez, A., Nawaz, R., Scherer, R., Chavarriaga, R., Millan, JDR. and Perdikis, S., Evaluating dry EEG technology out of the lab
Tates, A., Matran-Fernandez, A., Halder, S. and Daly, I., Wavelet packet decomposition to extract frequency features from speech imagery
Sweeney, L., Constantin, MG., Demarty, C-H., Fosco, C., Garcia Seco De Herrera, A., Halder, S., Healy, G., Ionescu, B., Matran-Fernandez, A., Smeaton, AF. and Sultana, M., (2023). Overview of The MediaEval 2022 Predicting Video Memorability Task
Constantin, MG., Demarty, C-H., Fosco, C., Herrera, AGSD., Halder, S., Healy, G., Ionescu, B., Matran-Fernandez, A., Kiziltepe, RS., Smeaton, AF. and Sweeney, L., (2023). Overview of The MediaEval 2023 Predicting Video Memorability Task.
Samothrakis, S., Matran-Fernandez, A., Abdullahi, U., Fairbank, M. and Fasli, M., (2022). Grokking-like effects in counterfactual inference
Garcia Seco De Herrera, A., Constantin, MG., Demarty, C-H., Fosco, C., Halder, S., Healy, G., Ionescu, B., Matran-Fernandez, A., Smeaton, AF., Sultana, M. and Sweeney, L., (2022). Experiences from the MediaEval Predicting Media Memorability Task
Sweeney, L., Constantin, MG., Demarty, C-H., Fosco, C., Herrera, AGSD., Halder, S., Healy, G., Ionescu, B., Matran-Fernandez, A., Smeaton, AF. and Sultana, M., (2022). Overview of The MediaEval 2022 Predicting Video Memorability Task.
Garcia Vellisca, M., Matran-Fernandez, A., Poli, R. and Citi, L., (2021). Hand-movement Prediction from EMG with LSTM-Recurrent Neural Networks
Sweeney, L., Matran-Fernandez, A., Halder, S., Garcia Seco De Herrera, A., Smeaton, A. and Healy, G., (2021). Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media Memorability
Savran Kiziltepe, R., Constantin, MG., Demarty, C-H., Healy, G., Fosco, C., Garcia Seco De Herrera, A., Halder, S., Ionescu, B., Matran-Fernandez, A., Smeaton, AF. and Sweeney, L., (2021). Overview of The MediaEval 2021 Predicting Media Memorability Task
Kiziltepe, RS., Constantin, MG., Demarty, C-H., Healy, G., Fosco, C., Herrera, AGSD., Halder, S., Ionescu, B., Matran-Fernandez, A., Smeaton, AF. and Sweeney, L., (2021). Overview of The MediaEval 2021 Predicting Media Memorability Task.
Sweeney, L., Matran-Fernandez, A., Halder, S., Herrera, AGSD., Smeaton, AF. and Healy, G., (2021). Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media Memorability.
Matran-Fernandez, A., Mastinu, E., Poli, R., Ortiz-Catalan, M. and Citi, L., (2018). Crosstalk Reduction in Epimysial EMG Recordings from Transhumeral Amputees with Principal Component Analysis
Matran-Fernandez, A. and Poli, R., (2015). Event-Related Potentials induced by cuts in feature movies and their exploitation for understanding cut efficacy
Valeriani, D. and Matran-Fernandez, A., (2015). Towards a wearable device for controlling a smartphone with eye winks
Matran-Fernandez, A. and Poli, R., (2014). Collaborative brain-computer interfaces for target localisation in rapid serial visual presentation
Matran-Fernandez, A., Poli, R. and Cinel, C., (2013). Collaborative brain-computer interfaces for the automatic classification of images
Stoica, A., Matran-Fernandez, A., Andreou, D., Poli, R., Cinel, C., Iwashita, Y. and Padgett, C., (2013). Multi-brain fusion and applications to intelligence analysis
Poli, R., Cinel, C., Matran-Fernandez, A., Sepulveda, F. and Stoica, A., (2013). Towards cooperative brain-computer interfaces for space navigation
Thesis dissertation (1)
Matran-Fernandez, A., (2017). Collaborative Brain-Computer Interfaces in Rapid Image Presentation and Motion Pictures
Grants and funding
2024
Exploring the Use of Neurofeedback for Alleviating Perimenopausal Symptoms
The Royal Society
2023
To use the latest data science and machine learning techniques to intelligently automate our Internal Audit processes and develop a new AI-driven analysis service as a premium product within our range.
Innovate UK (formerly Technology Strategy Board)
2021
G's Growers KTP Application
Innovate UK (formerly Technology Strategy Board)
Cancer Pathways
Mid and South Essex NHS Foundation Trust
2019
The development of a new CPD tracker using AI and embedded machine learning to track and enhance performance of all staff.
Innovate UK (formerly Technology Strategy Board)
AI-Assisted Decision-Making System for Cancer Pathways of the Colchester Hospital
East Suffolk and North Essex NHS Foundation Trust
2018
Develop AI methods to optimise interactions with customers.
Innovate UK (formerly Technology Strategy Board)
Contact
Academic support hours:
My academic support hours are on Mondays 2pm-3pm and Wednesdays 1pm-2pm
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