Homepage of Armando Vieira

Professor, Entrepreneur, Data Analyst and Scientist

  • I’m an Entrepreneur, Physicist, Professor, Machine Learning Analyst & IT consultant. Passionate about Data and Analytics, Physics and Artificial Intelligence.
  • Fanatic R user and Python advocate for big data analysis. Focused in extracting value hidden in the data.
  • Deeply engaged  in applying Deep Learning to challenging problems: one of the pioneers in the field with this publication in 2000 and a more recent one on multimodal learning with Stacked Auto-Encoders.
  • Owner of Lidinwise – Data Analytics, Senior Data Scientist at Closer.pt and Data Scientist at Redzebra-analytics.
  • In my spare time I’m a writer, cooker and “provocateur” of minds.
  • See my Linkedin profile and my Github repository for more details.

  • My researh

    Armando Vieira

    After my PhD at University of Coimbra, I spent a year in Grenoble, France, as a Postdoc. Then I decided to do something new.
    From 1998 to 2000 I worked on the Portuguese Nuclear Reactor at Sacavém, studying neutron diffusion and radiation protection.

    Since 1998 I fell in love with Artificial Neural Networks (ANN) and Machine Learning. I applied these techniques to any problems that I could put my hands on: from physics to economics or even deep oil discovery. We were able to successful apply ANN to several Rutherfod  BackScattering (RBS) spectra analysis of thin films and revolutionize the field of real-time RBS.

    In 2003, I was able to propose a new algorithm to train Neural Networks for classification problems and apply it to complex tasks, namely financial distress prediction of private French companies.

    In 2004 I took a Sabbatical leave at Los Alamos National Laboratory to engage in the study of Complex Network Analysis.  A topic that I eventually resume early in 2011 and in which I have a keen interest, especially in its applications to recommendation systems and correlated credit events (dominó bankruptcies). Early 2011 Tiago and I were the first portuguese team to be accepted at Seedcamp London, the biggest entrepreneurship meeting in Europe.

  • My Passions

    Data analysis, algorithms, machine learning, social networks, complexity.

  • My Education

    I had the privilege to take my degree of Physics, in 1990, at one of the best Portuguese engineering schools, Instituto Superior Técnico, in the beautiful city of Lisbon.
    In 1993 I took the master degree in Plasma Physics to study the hot plasma of the ISTOK tokamak using function parametrization. I moved to Coimbra in 1993 for my PhD in Theoretical Physics. Though I didn’t love the city, I got fascinated by the personality and character of Professor Carlos Fiolhais. The thesis was on fission of metallic clusters – building blocks of nanotechnology.

  • Teaching

    Beside being a full professor of physics at ISEP, I lectured on several international post-graduated degrees, like master in Bioinformatics in University Pompeu Fabra in Barcelona and at a MBA on real estate in ISEG, Lisbon.
  • My new project EDUKE.me

    O meu novo projecto Eduke.meUm exemplo de um curso que temos disponível:

    cloud para startups eduke.me

     

 

12
SEP
2014

The Business side of Deep Learning

I’m very happy that any area of machine learning (aka, statistical inference and decision-making) is beginning to make impact on real-world problems. I’m also overall happy with the rebranding associated with the usage of the term “deep learning” instead...
16
AUG
2014

Deep Learning: a revolution on the making

Deep Learning is here to stay. This is not another clever way to train machines in big data, it’s a revolution. Recent advances in deep learning methods have led to a widespread enthusiasm among pattern recognition and machine learning communities. Inspired by the depth...
19
JAN
2014

Sensitivity analysis for Ad exchange

I’ve created a sensitivity analysis function using Sovan Lek  who developed the approach in the mid-1990s. The ‘Lek-profile method’ is described briefly in Lek et al. 19962 and in more detail in Gevrey M, Dimopoulos I, Lek S. 2003. Review and comparison of methods to study the...
25
DEC
2013

Big data culture: It’s Not Just About Numbers

Today’s conversational buzz around big data analytics tends to hover around three general themes: technology, techniques, and the imagined future of a society in which big data plays a significant role in everyday life. Typically missing from the buzz are in-depth discussions...
24
DEC
2013

Machine learning for SEO

Machine learning is going to be playing a bigger  role in SEO, and so I think it is important that we have a basic understanding of how it works.   Intro Machine learning is appropriate to use when there is a problem that does not have an exact answer (i.e. there isn’t...
20
DEC
2013

Machine Learning for high dimensional data: new developments and applications.

8 Jan 2013 I’ll present a seminar at Centro de Física Teórica e Computacional da Universidade de Lisboa. Here is the abstract: “In the last 10 years there have been tremendous advances in Machine Learning models and applications. In this talk I will discuss some of...
15
NOV
2013

Knowledge overload

“It’s not information overload we are facing. It’s filter failure.” If we feel that we’re overwhelmed with information, that means our filters aren’t working. The solution is to fix our filters, especially social filters that rely upon the aggregated judgments of those in our...
06
NOV
2013

Uma nova geração de máquinas inteligentes

As redes neuronais artificiais já existem há quase 30 anos. Os feitos já alcançados são notáveis: desde reconhecimento de caracteres, classificação de imagens, filtros de spam, previsão de estrutura de proteínas, avaliação de risco de empresas, previsões de valorização de acções...
19
SEP
2013

Ciência em Portugal numa encruzilhada: financiamento e impacto.

Na última década Portugal teve um incremento extraordinário em I&D: triplicamos o investimento, quadruplicamos os recursos humanos, quase que multiplicamos por 10 o número de doutoramentos anuais, foram reforçadas e criadas imensas infra-estruturas dedicadas ou de apoio à...