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ALEXANDER G. PARLOS Room 116 Engineering/Physics Building Department of Mechanical Engineering and Department of
Nuclear Engineering and Department of Electrical Engineering
(courtesy appointment) a-parlos@tamu.edu/ (979) 862-2060 |
Alex Parlos is a
Professor of Mechanical Engineering at Texas A&M University, holding joint
appointments in the Department of Mechanical Engineering and Department of Nuclear
Engineering, and, by courtesy, Department of Electrical Engineering. He has
established and is heading the Networked and Intelligent Machines Laboratory
(NIML) where approximately 20 graduate students, several undergraduate students
and postdoctoral visitors conduct research at the interface of performance
limitations of sensors and machines interconnected over best-effort networks,
and adaptive methods rooted in more traditional control engineering. His
applied research interests include the development of data-driven or
algorithmic approaches for life-cycle health and performance management
of various dynamic systems. He has been involved with the particular
application of these concepts to electro-mechanical systems and more
recently to distributed real-time systems. His theoretical research
interests involve the development of learning algorithms for neural networks
and their use for nonlinear estimation (filtering, single- and multi-step
prediction) and predictive control. Since his arrival to
He received his Sc.D. in
Automatic Control and Systems Engineering (1986), his S.M. in Mechanical
Engineering (1985) and his S.M. in Nuclear Engineering (1985), all from the Massachusetts Institute of Technology (MIT). Prior to attending graduate school he received his
B.S. in Nuclear Engineering from Texas
A&M University (1983). Before joining the
Department of Mechanical Engineering as a tenured Associate Professor in 1999,
he served as Assistant and then as tenured Associate Professor in the
Department of Nuclear Engineering at Texas A&M University.
Alex Parlos serves on
several Editorial Boards of research journals and on various national and
international technical committees and review panels for federal funding
agencies. His research has resulted in the establishment of a start-up company
where he currently serves as an Officer and Director.
Research
Networked and Intelligent Machines Laboratory
Research
Programs and Interests
Teaching
Course Material for the New
Course MEEN 364: Dynamic Systems and
Controls - First Offered Fall 2001
Course Material for MEEN 651: Control System Design - Fall 2004
Course Material for MEEN 652: Multivariable Control System Design - Spring 2007
Course Material for MEEN 411: Mechanical Controls (Digital Control Systems)
- Spring 2007
People
Current Undergraduate Students
Last Modified: January, 2007.