Francisco Alexandre Andrade de Souza

 

Institute of Systems and Robotics;
University of Coimbra, Portugal;
Postdoc Researcher.

Short Bio

I received my B.S. in Electrical Engineering from the University Federal of Ceará, and Ph.D. in Electrical and Computer Engineering from the University of Coimbra, Portugal. My Ph.D. supervisor was Professor Rui Araújo. I have worked in several R&D projects from different areas along my Engineering career, for more details please check Previous research tab. My general research interests includes (but not limited to) data mining, applied machine learning, process control, grounding systems and data-driven process understanding.

I am now a Post-Doctoral Researcher at Institute of Systems and Robotics in Coimbra, Portugal. Currently, I am working on semi-supervised learning for regression models with application to soft sensors. For more details check my Current research tab on the left.

Check out my Publications page or my Google Scholar page or my Lattes CV (Portuguese) for more info on my research.

Previous positions

  • [2015-2015]: Assistant Professor at Department of Electrical Engineering, University Federal of Ceará, Fortaleza, Ceará, Brazil - UFC-CE;

  • [2014-2015]: Ph.D Researcher at Control Engineering;

  • [2009-2014]: Researcher at Institute of Systems and Robotics- ISR-UC;

  • [2009-2009]: Electrical Engineering researcher at SISCOME-CE/Landis+Gyr;

  • [2008-2008]: Electrical Engineering trainee at at Synapsis IT;

  • [2007-2007]: Electrical Engineering trainee at COELCE.

News

  • The “Workshop on Applied Machine Learning - Concepts and Case Studies” at Polo II-UC is coming on 4 Jan 2017, check here for more info;

  • The paper submitted along the project “Study of Grounding Systems and Impulsive Currents” was accepted in IEEE Transactions on Power Delivery, check my Previous research for more project info.

  • The paper on regression methods for soft sensors development was accepted in Chemometrics and Intelligent Laboratory Systems, check my Current research for more project info.

Contact

Email: fasouza@isr.uc.pt