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Enthusiastic and highly motivated 28-year-old Biomedical Engineer with a Master's degree in Biomedical Engineering and currently pursuing a PhD in Informatics Engineering with a focus on Intelligent Systems. Possess a strong passion for neuroscience, machine learning, and data science, actively seeking opportunities to apply these skills in meaningful research and development endeavors. Expertise lies in developing and implementing machine learning models for biomedical data analysis, utilizing artificial intelligence in personalized medicine, and investigating the intersection of neuroscience and machine learning. Proven ability to collaborate effectively with diverse teams, communicate complex scientific concepts clearly, and conduct independent research projects.
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Identification

Personal identification

Full name
Daniel Andrade Pinho Agostinho

Citation names

  • Agostinho, Daniel

Author identifiers

Ciência ID
D214-6352-5F9A
ORCID iD
0000-0003-1503-2948

Telephones

Mobile phone
  • 911124962 (Personal)

Addresses

  • Rua de Bairros nº277, 3700-751, Nogueira do Cravo, Oliveira de Azeméis, Portugal (Personal)

Knowledge fields

  • Engineering and Technology - Medical Engineering - Medical Engineering
  • Exact Sciences - Computer and Information Sciences - Bioinformatics
  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Upper intermediate (B2) Advanced (C1) Upper intermediate (B2) Advanced (C1) Upper intermediate (B2)
Education
Degree Classification
2020/09 - 2025
Ongoing
 Programa de Doutoramento em Engenharia Informatica (Doutoramento)
Major in Sistemas Inteligentes
Universidade de Coimbra Departamento de Engenharia Informática, Portugal
2014/09/08 - 2019/09/27
Concluded
 Mestrado Integrado em Engenharia Biomédica (Mestrado integrado)
Major in Neurociências
Universidade de Coimbra, Portugal
"Differential diagnosis of Alzheimer's disease based on multimodal imaging data (MRI, PiB and DTI)" (THESIS/DISSERTATION)
 15.334
Affiliation

Science

Category
Host institution 		Employer
2021/02/04 - Current Researcher (Research) Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2020/02/01 - Current Researcher (Research) Universidade de Coimbra Instituto de Ciências Nucleares Aplicadas à Saúde, Portugal
Universidade de Coimbra Instituto de Ciências Nucleares Aplicadas à Saúde, Portugal
Projects

Grant

Designation Funders
2022/02/01 - 2026/01/31 Decoding mental states from neuronal and physiological data.
2021.04704.BD
 Fundação para a Ciência e a Tecnologia
Ongoing
2020/11/01 - 2021/08/01 BioHab: a biofeedback solution for cognitive training systems for Autism Spectrum Disorder
Santander-UC Seed Project - BIOHAB
Ongoing

Contract

Designation Funders
2020/02/01 - 2020/12/31 Da modelação computacional e investigação clínica ao desenvolvimento de plataformas de neuroimagem e big data para descoberta de biomarcadores
SAICT 000016 BIGDATIMAGE
Research Fellow
Centro de Imagem Biomédica e Investigação Translacional Universidade de Coimbra, Portugal
Concluded
Outputs

Publications

Conference paper
  1. Correia, Rita; Agostinho, Daniel; Duarte, Isabel Catarina; Sousa, Daniela; Rodrigues, Ana Pina; Castelo-Branco, Miguel; Simoes, Marco. "Assessing Arousal Through Multimodal Biosignals: A Preliminary Approach". 2021.
    10.1109/EMBC46164.2021.9630112
  2. Agostinho, Daniel; Correia, Rita; Duarte, Isabel Catarina; Sousa, Daniela; Abreu, Rodolfo; Rodrigues, Ana Pina; Castelo-Branco, Miguel; Simoes, Marco. "Parametric fMRI analysis of videos of variable arousal levels reveals different dorsal vs ventral activation preferences between autism and controls". 2021.
    10.1109/EMBC46164.2021.9630013
Journal article
  1. Daniel Agostinho; Marco Simões; Miguel Castelo-Branco. "Predicting conversion from mild cognitive impairment to Alzheimer’s disease: a multimodal approach". Brain Communications (2024): https://doi.org/10.1093/braincomms/fcae208.
    10.1093/braincomms/fcae208
  2. Agostinho, Daniel; Caramelo, Francisco; Moreira, Ana Paula; Santana, Isabel; Abrunhosa, Antero; Castelo-Branco, Miguel. "Combined Structural MR and Diffusion Tensor Imaging Classify the Presence of Alzheimer's Disease With the Same Performance as MR Combined With Amyloid Positron Emission Tomography: A Data Integration Approach". Frontiers in Neuroscience (2022): https://publons.com/wos-op/publon/52315927/.
    10.3389/FNINS.2021.638175
Thesis / Dissertation
  1. Agostinho, Daniel. "Diferential diagnosis of alzheimer's disease based on multimodal imaging data (MRI, PIB and DTI)". Master, Universidade de Coimbra Faculdade de Ciencias e Tecnologia, 2019. http://hdl.handle.net/10316/87824.
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2023/09/05 Emotional state classification from brain signals using CNNs adapted for fMRI signal properties EPIA Conference on Artificial Intelligence
Portuguese Association for Artificial Intelligence (Horta, Portugal)
2020/04/04 Differential diagnosis of Alzheimeir's disease based on multimodal imaging data (sMRI, PiB-PET and DTI) Invited Presentation at CIBIT
Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT) (Coimbra, Portugal)
Distinctions

Other distinction

2022 UC Merit Board
Universidade de Coimbra, Portugal