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I am a Master and PhD student in Biomedical Engineering (BME), with 4 years of experience in BME research focused on wearable sensing, biomedical signal processing, and machine learning for BME applications. My professional experience in BME dates back to 2017, starting with my MSc thesis, in which novel contributions were made to the field of human activity recognition. Since 2019, I have been a Researcher at IT, developing research in the field of epileptic seizure detection and prediction at the Pattern and Image Analysis (PIA) group, in collaboration with Hospital de Santa Maria and Hospital Egas Moniz. I have done 1 int'l academic exchange (at the Politecnico di Milano), and participated in 4 research and development projects (one int'l). In my assignments I actively contribute to the training and to the career of young professionals, as shown by the mentoring of 3 MSc thesis, and 29 MSc students. In addition, I collaborated in 2 editions of a MSc-level course on machine learning, and offered 1 int’l and 4 national courses and seminars. My work has also involved relevant associative duties, having served as president of the biomedical engineering student group at FCT/UNL for the 2016-2017 term. I participated in editorial, reviewing, and conference organisation activities, examples including being a reviewer for Int’l Conf. on Pattern Recognition (ICPR) in 2020, and one of the organizers of ENEEB 2016. Throughout my years as a researcher and academic, I co-authored articles in peer-reviewed journals (1 as first author in a Q1 journal and 1 as co-author in a Q2 journal), 3 national and 1 international conference paper (with scientific refereeing), and 1 technical report. I’ve had a fair share of traveling and learning amidst leading BME academia and industry at a national and int'l level, which enabled me to develop an eclectic spirit, and create a solid network of contacts. I also contribute on a regular base with software and other assets made available to the community at large via GitHub.
Identification

Personal identification

Full name
Mariana Lima Lourinho Teixeira de Abreu
Gender
Female

Citation names

  • Abreu, Mariana

Author identifiers

Ciência ID
FF1F-BCE1-43AD
ORCID iD
0000-0002-9340-6610

Websites

Knowledge fields

  • Engineering and Technology - Medical Engineering

Languages

Language Speaking Reading Writing Listening Peer-review
English Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2) Advanced (C1) Upper intermediate (B2)
Portuguese (Mother tongue)
Education
Degree Classification
2019/02/04 - 2023/09/10
Ongoing
Engenharia Biomédica (Doutoramento)
Universidade de Lisboa Instituto Superior Técnico, Portugal
"A Multimodal Approach for Predicting and Monitoring Epilepsy" (THESIS/DISSERTATION)
2013/09/10 - 2018/11/30
Concluded
Engenharia Biomédica (Mestrado integrado)
Universidade Nova de Lisboa, Portugal
"Bringing Higher Definition to Human Activities Monitoring" (THESIS/DISSERTATION)
17
2016/09 - 2017/02
Attended
Biomedical Engineering (Laurea Magistrale)
Major in Erasmus
Politecnico di Milano - Milano Leonardo, Italy
Affiliation

Science

Category
Host institution
Employer
2021/10/01 - Current Researcher (Research) Fundação para a Ciência e a Tecnologia, Portugal
Universidade de Lisboa Instituto Superior Técnico, Portugal
(...)
2019/02/01 - 2021/09/30 Researcher (Research) Instituto de Telecomunicações, Portugal
Instituto de Telecomunicações, Portugal
2018/02/01 - 2019/01/31 Research Assistant (Research) Associação Fraunhofer Portugal Research, Portugal
Associação Fraunhofer Portugal Research, Portugal
2017/07 - 2017/09 Research Trainee (Research) Instituto de Engenharia de Sistemas e Computadores Microsistemas e Nanotecnologias, Portugal
Instituto de Engenharia de Sistemas e Computadores Microsistemas e Nanotecnologias, Portugal
2015/01 - 2015/02 Research Trainee (Research) Universidade de Lisboa Instituto de Biofísica e Engenharia Biomédica, Portugal
Universidade de Lisboa Instituto de Biofísica e Engenharia Biomédica, Portugal
Projects

Grant

Designation Funders
2019/04/01 - Current PreEpiSeizures
PreEpiSeizures
PhD Student Fellow
Instituto de Telecomunicações, Portugal

Hospital de Santa Maria, Portugal

Centro Hospitalar de Lisboa Ocidental EPE Serviço de Neurologia, Portugal
Instituto de Telecomunicações
Ongoing
2020/01/29 - 2021/12/31 NICE HOME - Non-Invasive Fog-Cloud Enabled HOme Monitoring for Elders
IT EEA/50008 NICE-HOME
Instituto de Telecomunicações Lisboa
Ongoing
2019/05/08 - 2020/05/31 ScientIST - Scientific Experiments in Biomedical Engineering Supported by Mobile Devices and IoT
PIP 1018P.05667.1.01/CC3311
Universidade de Lisboa Instituto Superior Técnico
Concluded
2018/02/01 - 2018/11/30 HDHAM
BIC/FhP-17/006
Scientific Initiation Fellow
Associação Fraunhofer Portugal Research, Portugal
Concluded

Contract

Designation Funders
2020/02/01 - 2021/09/30 NICE HOME
Researcher
Instituto de Telecomunicações, Portugal
Instituto de Telecomunicações
Ongoing
2019/02/01 - 2020/12/31 XIPHY
Research Fellow
Instituto de Telecomunicações, Portugal
Xinhuanet Future Media Convergence Institute (FMCI)
Ongoing
2018/02 - 2018/12 DEM
Scientific Initiation Fellow
Associação Fraunhofer Portugal Research, Portugal
Ongoing
Outputs

Publications

Conference abstract
  1. Ana Sofia Carmo; Abreu, Mariana; Hugo Humberto Plácido da Silva; Ana L. N. Fred. "EpiBOX: Uma Nova Abordagem para Aquisições de Longa Duração com Deteção Automática de Crises em Epilepsia.". Paper presented in 33º Encontro Nacional de Epileptologia, 2021.
    Published
  2. Beatriz Vidal; Ricardo Neto; João Matos; Frederico Araújo; Mariana Costa; Ana Catarina Franco; Abreu, Mariana; et al. "Revisão Sistemática e Caracterização de Aplicações Móveis para Registo de Crises Epilépticas em Ambulatório". Paper presented in 33º Encontro Nacional de Epileptologia, 2021.
    Published
  3. Abreu, Mariana; Fred, Ana; João Valente; Hugo Humberto Plácido da Silva. "Detection of Apnea in Respiratory Signals". Paper presented in International Meeting of the Portuguese Society of Physiology, Lisbon, 2019.
    Published
Conference paper
  1. Ana Sofia Carmo; Abreu, Mariana; Hugo Humberto Plácido da Silva; Ana L. N. Fred. "Automatic Detection of Tonic-Clonic and Myoclonic Epileptic Seizures Using Prefrontal Electroencephalography (EEG)". Paper presented in 34th IEEE CBMS International Symposium on Computer-Based Medical Systems, 2021.
    Submitted
  2. Abreu, Mariana; Barandas, Marília; Leonardo, Ricardo; Gamboa, Hugo. "Detailed Human Activity Recognition based on Multiple HMM". Paper presented in BIOSTEC, Praga;, 2019.
    Published • 10.5220/0007386901710178
Journal article
  1. Abreu, Mariana; Carmo, Ana Sofia; Peralta, Ana Rita; Sá, Francisca; Plácido da Silva, Hugo; Bentes, Carla; Fred, Ana Luísa. "PreEpiSeizures: description and outcomes of physiological data acquisition using wearable devices during video-EEG monitoring in people with epilepsy". Frontiers in Physiology 14 (2023): http://dx.doi.org/10.3389/fphys.2023.1248899.
    Open access • Published • 10.3389/fphys.2023.1248899
  2. Vicente M. Garção; Mariana Abreu; Ana R. Peralta; Carla Bentes; Ana Fred; Hugo P. da Silva. "A novel approach to automatic seizure detection using computer vision and independent component analysis". Epilepsia (2023): https://doi.org/10.1111/epi.17677.
    10.1111/epi.17677
  3. Larissa Montenegro; Mariana Abreu; Ana Fred; Jose M. Machado. "Human-Assisted vs. Deep Learning Feature Extraction: An Evaluation of ECG Features Extraction Methods for Arrhythmia Classification Using Machine Learning". Applied Sciences 12 15 (2022): 7404-7404. https://doi.org/10.3390/app12157404.
    10.3390/app12157404
  4. Carmo, Ana Sofia; Abreu, Mariana; Fred, Ana Luísa Nobre; da Silva, Hugo Plácido. "EpiBOX: An Automated Platform for Long-Term Biosignal Collection". Frontiers in Neuroinformatics 16 (2022): http://dx.doi.org/10.3389/fninf.2022.837278.
    Published • 10.3389/fninf.2022.837278
  5. Mariana Abreu; Ana Sofia Carmo; Ana Franco; Sara Parreira; Beatriz Vidal; Mariana Costa; Ana Rita Peralta; et al. "Mobile Applications for Epilepsy: Where Are We? Where Should We Go? A Systematic Review". Signals (2022): https://www.mdpi.com/2624-6120/3/1/5.
    10.3390/signals3010005
  6. Abreu, Mariana; Fred, Ana; João Valente; Hugo Faria Plácido da Silva; Chen Wang. "Morphological Autoencoders for Apnea Detection in Respiratory Gating Radiotherapy". Computer Methods and Programs in Biomedicine 195 (2020): 105675. https://doi.org/10.1016/j.cmpb.2020.105675.
    Published
  7. Barandas, Marília; Folgado, Duarte; Fernandes, Letícia; Santos, Sara; Abreu, Mariana; Bota, Patrícia; Liu, Hui; Schultz, Tanja; Gamboa, Hugo. "TSFEL: Time Series Feature Extraction Library". SoftwareX 11 (2020): 100456. http://dx.doi.org/10.1016/j.softx.2020.100456.
    10.1016/j.softx.2020.100456
Report
  1. Abreu, Mariana; Fred, Ana; Wang, Chen; Hugo Humberto Plácido da Silva. 2020. From Detection to Prediction: A Review of Wearables and Related Devices Applicable to Epilepsy via Peripheral Measurements. https://www.researchgate.net/publication/340279429_From_Seizure_Detection_to_Prediction_A_Review_of_Wearables_and_Related_Devices_Applicable_to_Epilepsy_via_Peripheral_Measurements.
Thesis / Dissertation
  1. Abreu, Mariana. "Bringing Higher Definition to Human Activities Monitoring". Master, Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, 2018.

Intellectual property

Patent
  1. Garção, Vicente; Hugo Humberto Plácido da Silva; Ana L. N. Fred; Abreu, Mariana; RITA MARTINS TERESO BORGES DA SILVA; António Azeitona; Filipa Baltazar; Kihara Pata. 2022. "UNOBTRUSIVE METHOD AND DEVICE FOR SEIZURE DETECTION". Portugal.
    Pending
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2020/10/04 Workshop Lectured - Physiological Computing 55º Congresso Anual da SBFIS
Sociedade Brasileira de Fisiologia (Brazil)

Event organisation

Event name
Type of event (Role)
Institution / Organization
2019/01/28 - 2019/01/28 Workshop Lectured - Time Series Feature Extraction Library and Machine Learning (2019/01/28 - 2019/01/28)
Workshop (Co-organisor)
Associação Fraunhofer Portugal Research, Portugal
2017/02 - 2017/02 Jortec Biomédica 2017 - One day of talks and round table organised by students for students, where up-and-coming technologies and the recent advancements in biomedicine are portrayed and debated. (2017/02 - 2017/02)
Other (President of the Organising Committee)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2015/09 - 2016/03 Encontro Nacional de Estudantes de Engenharia Biomédica (ENEEB 2016) (2016/03/03 - 2016/03/06)
Meeting (Member of the Organising Committee)
Universidade Nova de Lisboa Departamento de Física, Portugal

Event participation

Activity description
Type of event
Event name
Institution / Organization
2020/07/20 - 2020/07/20 Workshop Lectured - Signal Processing and Machine Learning
Workshop
CEIIA Summer School
Centro de Engenharia e Desenvolvimento, Portugal
2020/04/01 - 2020/05/17 A month-long challenge on seizure prediction using the TUH EEG Seizure dataset.
Call
Neureka 2020 Epilepsy Challenge
Temple University Hospital, United States
2020/02/29 - 2020/02/29 Workshop Lectured - Introduction to Biomedical Instrumentation and Data Science
Workshop
Instituto Politécnico de Leiria, Portugal
2017/04 - 2018/02 Ebimed Project - Braço Otimizado de Cadeira de Rodas para Pacientes Pós-AVC
Other

Association member

Society Organization name Role
2014/03 - 2017/03 Núcleo de Biomédica da Nova Presidente (2016-2017)

Conference scientific committee

Conference name Conference host
2021/01/10 - 2021/01/15 ICPR 2020 Milão

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2020/02/17 - 2020/06/30 Teaching Assistant in the lab classes for "Machine Learning in Bioengineering" Engenharia Biomédica (Mestrado integrado) Universidade de Lisboa Instituto Superior Técnico, Portugal
2019/09 - 2019/12 Teaching Assistant for the classes "Introduction to Biomedical Engineering" Ciências de Engenharia - Engenharia Biomédica (Licenciatura) Universidade de Lisboa Instituto Superior Técnico, Portugal

Mentoring / Tutoring

Topic Student name
2021/03/01 - 2021/12/31 MSc Thesis Project - Multimodal Pervasive Monitoring of Epilepsy at Home Vicente Garção
2021/03/01 - 2021/06/01 MLB Course Project - Exploration of Supervised Learning Methods for the Identification of epileptic seizures João Saraiva, Débora Albuquerque
2020/09/15 - 2021/06/01 MSc Thesis Project - Human-Assisted vs Deep learning Feature Extraction: an evaluation of ECG feature extraction methods for arrhythmia classification using machine learning Larissa Montenegro
2020/10/01 - 2021/01/20 PEB Course Project - Self-monitoring Epilepsy Beatriz Filipe, Catarina Passarinho, Joana Vera-Cruz, Manuel Lopes, Miguel Guerreiro
2020/09/30 - 2021/01/20 PEB Course Project - Monitoring Epilepsy During the Night Vicente Garção, Rita Silva, Filipa Baltazar, Guilherme Pata, António Azeitona
2020/02 - 2021/01/18 MSc Thesis Project - EpiBOX: A Novel Approach to Long-Term Data Acquisition with Automatic Seizure Detection in Epilepsy Ana Sofia Cacais do Carmo
2020/10/01 - 2021/01/10 IEB Course Project - Systematic Review of Mobile Applications for Epilepsy Beatriz Vidal, João Matos, Frederico Araújo, Ricardo Neto, Mariana Costa, Guilherme Gaspar
2020/10/01 - 2021/01/10 IEB Course Project - Automatic Detection of Anomalies in ECG Signal Carolina Carvalhal, Inês Brites, Inês Cardoso, Inês Mota, Isabel Macedo, Mariana Pereira
2020/03/01 - 2020/06/30 MLB Course Project - Exploration of Unsupervised Learning Methods for the Identification of epileptic seizures Tomás Cordovil, Pierre Mougenot, Joana Catarino