Miguel S. Vasco

PhD Student in Computer Science,
Técnico, University of Lisbon

 

Member of Group on Artificial Intelligence
for People and Society (GAIPS)

About

Miguel S. Vasco is a PhD student in Computer Science from Técnico, University of Lisbon since 2018, and a researcher of the Group on Artificial Intelligence for People and Society (GAIPS) since 2016.


Miguel aims at merging the topics of Artificial Intelligence and Human Cognition with Deep Learning. His long term goal is to build artificial agents that learn as fast as humans do. He will certainly be succesfull in such task.


Robots, as most humans, perceive the world through multiple sensory channels which enable the aquisition of multimodal data from their environment. Miguel likes to construct human-inspired generative models for learning representations from multimodal data. 50% of the time, they work everytime.


Beyond working hard, Miguel likes to make people laugh, pretend he plays basketball well, compose music and write descriptions of himself in third-person.

Research

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Publications

Journal Publications

  • Project INSIDE: towards autonomous semi-unstructured human–robot social interaction in autism therapy

    F. S. Melo, A. Sardinha, D. Belo, M. Couto, M. Faria, A. Farias, H. Gamboa, C. Jesus, M. Kinarullathil, P. Lima, L. Luz, A. Mateus, I. Melo, P. Moreno, D. Osório, A. Paiva, J. Pimentel, J. Rodrigues, P. Sequeira, R. Solera-Ureña, M. Vasco, M. Veloso, R. Ventura

    Artificial Intelligence in Medicine, 2019 [link]

  •  

    3D map distribution of metallic nanoparticles in whole cells using MeV ion microscopy

    M. Vasco, L.C. Alves, V. Corregidor, D. Correia, C. P. Godinho, I. Sá-Correia, A. Bettiol, F. Watt, T. Pinheiro

    Journal of Microscopy, 2017 [link]


 

Conference Procedings

  • Online Motion Concept Learning: A Novel Algorithm for Sample-Efficient Learning and Recognition of Human Actions

    M. Vasco, F. S. Melo, D. M. de Matos, A. Paiva, T. Inamura

    In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'19) [link]


 

Technical Reports

  • Learning Multimodal Representations for Sample-Efficient Recognition of Human Actions

    M. Vasco, F. S. Melo, D. M. de Matos, A. Paiva, T. Inamura

    arXiv preprint [link]


News

Magna feugiat lorem ipsum dolor
veroeros sed adipiscing

Lorem ipsum dolor sit amet, magna etiam adipiscing elit. Vivamus in quam eu turpis venenatis euismod eget ac velit. Magna pharetra eleifend urna quis laoreet. Nullam quis urna iaculis metus ornare accumsan. Sed nunc lacus, lobortis nec ante sit amet.

Vitae quis magna. Sed condimentum dui sed nunc dapibus dignissim. Sed at arcu gravida, vehicula massa ut, consectetur urna. Morbi eu venenatis turpis. In tincidunt pharetra etiam veroeros.

Contact

My office is 2N7.3 located at IST - Campus Taguspark, Porto Salvo. I am available every day, usually from 9:00 am to 5:00 pm. Also, I live in Lisbon and you are welcome to contact me if you are nearby and would like to meet me.

miguel.vasco [at] tecnico [dot] ulisboa [dot] pt
miguelserrasvasco [at] gmail [dot] com

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i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';

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Item One Ante turpis integer aliquet porttitor. 29.99
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