Professor, Electrical and Computer Engineering
Ph.D. Stanford University
control systems; avionics; aerospace
Concordia University, Montréal, Québec, Canada (6/2016-present)
Professor at the Department of Electrical and Computer Engineering.
Concordia University, Montréal, Québec, Canada (6/2010-5/2016)
Associate Professor at the Department of Electrical and Computer Engineering.
Concordia University, Montréal, Québec, Canada (6/2008-5/2010)
Associate Professor at the Department of Mechanical and Industrial Engineering.
Concordia University, Montréal, Québec, Canada (1/2003-5/2008)
Assistant Professor at the Department of Mechanical and Industrial Engineering.
Ydreams, Lisboa, Portugal, EU (9/2002-12/2002)
Project Manager for the development of a virtual reality GIS flight simulation over large terrains.
Eliza Corporation , Beverly, MA, USA (2/2002-8/2002)
Consultant for a project of automatic speech recognition.
PhD in Aeronautics and Astronautics from Stanford University , June 2002. During my PhD, I was a visiting student at MIT from June 2000 to January 2002.
Master of Science in Electrical Engineering and Computers, September 1997 from Instituto Superior Técnico - Universidade Técnica de Lisboa.
"Licenciatura" Degree in Electrical Engineering and Computers, September 1995 from Instituto Superior Técnico, Universidade Técnica de Lisboa (IST/UTL)
AERO482/ENGR6461: Avionics Navigation Systems
ELEC482/ENCS6181: System Optimization/Optimization Techniques
Not teaching in winter
All of these research interests fit into my three primary focus areas within the theory and practice of automatic control systems: (1) the development and validation of mathematical models of complex dynamic systems; (2) the analysis of the stability and performance properties of these systems and (3) the synthesis and the validation of automatic controllers that can improve stability and performance of these systems. My main research interest, besides increasing knowledge and understanding, is the development of technology leading to novel automatic controllers that can be used in industry to enhance performance of engineering systems while saving energy and being sustainable. To synthesize such novel controllers, it is essential to understand the physical principles behind the particular engineering system to be controlled to be able to develop an accurate mathematical model that can then be used for controller design. Knowledge of optimization techniques is important so that energy can be minimized for such systems making them more sustainable.
Note: Most journal pre-prints are at the Concordia's Spectrum Repository. In case of difficulty finding a paper please email me.
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