David Calhas

About Me

I'm an aspiring researcher with interest in machine learning techniques and neuroscience. Recently, I obtained my PhD from Instituto Superior Tecnico, University of Lisbon. I plan to continue to delve deeper into neuroscience in future projects.

Research Interests:

• Pairwise Learning
• Electroencephalography
• Schizophrenia
• Image Synthesis
• Medical records data

Recent Research Media

EEG to fMRI Synthesis

Learning to classify in the unit circle

Published Software

[PyPI] eeg-to-fmri: an open source library with EEG to fMRI Synthesis models

Publications

[PDF] EEG to fMRI Synthesis: Is Deep Learning a candidate?, David Calhas and Rui Henriques, International Conference on Information Systems Development, 2023

[PDF] EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships, David Calhas and Rui Henriques, Machine Learning for Health Care, 2023

[PDF] EEG-to-fMRI: Neuroimaging Cross Modal Synthesis in Python, David Calhas, Scipy Conference, 2023

[PDF] Automatic Generation of Neural Architecture Search Spaces, David Calhas, Vasco Manquinho and Inês Lynce, Combining Learning and Reasoning: Programming Languages, Formalisms, and Representations, 2022

[PDF] Fitting Regularized Population Dynamics with Neural Differential Equations, David Calhas and Rui Henriques, The Symbiosis of Deep Learning and Differential Equations, 2021

[PDF] fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser, David Calhas and Rui Henriques, International Conference on Artificial Intelligence in Medicine by Springer, 2022

[PDF] On the use of pairwise distance learning for brain signal classification with limited observations, David Calhas, Enrique Romero and Rui Henriques, Artificial intelligence in medicine by Elsevier, 2020

Talks

• EEG to fMRI Synthesis, Seminars in Masters of Data Science @ Faculdade de Ciências da Universidade de Lisboa, format LIVE.
• EEG to fMRI Synthesis: Is Deep Learning a candidate?, International Conference on Information Systems Development, format LIVE.
• EEG to fMRI Synthesis: Is Deep Learning a candidate?, International Conference on Information Systems Development, format LIVE.
• EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships, Machine Learning for Health Care Conference, format VIDEO.
• EEG to fMRI Synthesis: Extrapolation for Diagnostic Settings, ESR Talks by INESC-ID, format LIVE.
• EEG to fMRI Synthesis: Quantifying Uncertainty, Machine Learning in Science Workshop, format LIVE.
• Fitting Regularized Population Dynamics with Neural Differential Equations, Advances in Neural Information Processing Systems Workshop The Symbiosis of Deep Learning and Differential Equations, format LIVE.
• EEG to fMRI Synthesis, PhD track at Symposium on Intelligent Data Analysis, format LIVE.

Blog Posts

Check out my latest blog posts:

• Tutorial on EEG to fMRI Synthesis here
• Tutorial on extrapolation of EEG to fMRI Synthesis to a classification setting here

Research Review

I have been a reviewer for: Neuroimage Reports, IEEE Transactions on Neural Networks and Learning Systems, IEEE Access, Neuroimage, Imaging Neuroscience, Statistical Papers, IEEE Journal of Bioengineering for Health Informatics, Journal of Applied Clinical Medical Physics.

Teaching

Artificial Intelligence, since 2019

Autonomous Agents and Multi Agent Systems, 2019 and 2020

Machine Learning, since 2021

Funding

Foundation for Science and Technology: PhD scholarship with reference SFRH/BD/5762/2020 from 30/09/2020 to 20/10/2023

Contact

Email: david DOT calhas AT tecnico DOT ulisboa DOT pt

CV

Find my curriculum vitae here.