Short Bio
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Pequito's research consists of understanding the global qualitative behavior of large-scale systems from their structural or parametric descriptions and provide a rigorous framework for the design, analysis, optimization and control of large scale (real-world) systems. Currently, his interests span to neuroscience and biomedicine, where dynamical systems and control theoretic tools can be leveraged to develop new analysis tools for brain dynamics that, ultimately, will lead to new diagnostics and treatments of neural disorders. In addition, these tools can be used towards effective personalized medicine and improve brain-computer and brain-machine-brain interfaces that will improve people's life quality.
Pequito was awarded the best student paper finalist in the 48th IEEE Conference on Decision and Control (2009). Also, Pequito received the ECE Outstanding Teaching Assistant Award from the Electrical and Computer Engineering Department at Carnegie Mellon University, and the Carnegie Mellon Graduate Teaching Award (University-wide) honorable mention, both in 2012. Also, Pequito was a 2016 EECI European Ph.D. Award on Control for Complex and Heterogeneous Systems finalist and received the 2016 O. Hugo Schuck Award in the Theory Category.
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Academic Background
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2014
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PhD in Electrical and Computer Engineering (Dual Degree)
Carnegie Mellon University &
Instituto Superior Técnico, University of Lisbon
Dissertation title: A Structural Approach to Design, Analysis and Optimization of Large-Scale Dynamical Systems
Advisers: Professor A. Pedro Aguiar (ECE-FEUP)
Professor Diogo Gomes (MATH-IST & MATH-KAUST)
Professor Soummya Kar (ECE-CMU)
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2009
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MSc in Applied Mathematics (Differential Equations and Dynamical Systems)
Instituto Superior Técnico, University of Lisbon
Thesis title: The Entropy Penalized Minimum Energy Estimator
Advisers:Professor A. Pedro Aguiar (ECE-IST)
Professor Diogo Gomes (MATH-IST)
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2007
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BSc in Applied Mathematics and Computation
Instituto Superior Técnico, University of Lisbon
Final project title:
The perceptron: from neural models to their computability
Adviser: Professor José Félix Costa (MATH-IST)
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Professional Experience
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Aug
2017
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Rensselaer Polytechnic Institute
Assistant Professor
Troy, NY, USA
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Aug
2014
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July
2017
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University of Pennsylvania
Postdoctoral Researcher
General Robotics, Automation, Sensing & Perception Laboratory
Philadelphia, PA, USA
Supervisor: Professor George J. Pappas
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Fev
2009
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Sept
2009
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European Space Agency
Trainee
Guidance, Navigation and Control (GNC) systems group
European Space Research and Technology Center (ESTEC)
Noordwijk, The Netherlands
Supervisor: Doctor Rémi Drai
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Fev
2008
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Jan
2009
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Institute for System and Robotics
Young Researcher
Dynamical System and Ocean Robotics LAB
Instituto Superior Técnico, University of Lisbon
Supervisor:Professor A. Pedro Aguiar
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Awards and Honors
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2016
2016
2012
2012
2012
2012
2009
2009
2009
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O. Hugo Schuck Award in the Theory Category
European Embedded Control Institute (EECI) European PhD Award on Control for Complex and Heterogeneous Systems (finalist)
Phi Kappa Phi, Love of Learning Award
Outstanding Teaching Assistant Award, Electrical and Computer Engineering Department at Carnegie Mellon University
Carnegie Mellon University Graduate Teaching Award (university-wide) [Honorable Mention]
Phi Kappa Phi member (Carnegie Mellon Chapter)
Best student paper award finalist at 48th Conference on Decision and Control
Second prize for the best students of the Technical University of Lisbon
Consortium Linking Universities of Science and Technology for Education and Research (CLUSTER) prize
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