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George Vachtsevanos

Affiliations: 
Robotics Georgia Institute of Technology, Atlanta, GA 
Area:
Robotics Engineering, Electronics and Electrical Engineering, Aerospace Engineering
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Parents

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Children

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Maryann M. D'Alessandro grad student 2001 Georgia Tech
Noppadon Khiripet grad student 2001 Georgia Tech
Seungkoo Lee grad student 2002 Georgia Tech
Irtaza Barlas grad student 2003 Georgia Tech
Nathan S. Clements grad student 2003 Georgia Tech
Yuhua Ding grad student 2003 Georgia Tech
Luis B. Gutierrez Zea grad student 2004 Georgia Tech
Tamir A. Hegazy grad student 2004 Georgia Tech
Nicholas C. Propes grad student 2004 Georgia Tech
Graham R. Drozeski grad student 2005 Georgia Tech
Guangfan Zhang grad student 2005 Georgia Tech
Yingchuan Zhang grad student 2005 Georgia Tech
Ben T. Ludington grad student 2006 Georgia Tech
Marcos E. Orchard grad student 2007 Georgia Tech
Romano Patrick-Aldaco grad student 2007 Georgia Tech
Johan M. Reimann grad student 2007 Georgia Tech
Abhinav Saxena grad student 2007 Georgia Tech
Lauren S. Burrell grad student 2008 Georgia Tech
Bhaskar Saha grad student 2008 Georgia Tech
Jacqueline A. Fairley grad student 2009 Georgia Tech
Phillip J. Jones grad student 2009 Georgia Tech
Manzar Abbas grad student 2010 Georgia Tech
Jayant Ratti grad student 2011 Georgia Tech

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Publications

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Vachtsevanos G, Lee B, Oh S, et al. (2018) Resilient Design and Operation of Cyber Physical Systems with Emphasis on Unmanned Autonomous Systems Journal of Intelligent & Robotic Systems. 91: 59-83
Ratti J, Vachtsevanos GJ. (2015) Inventing a biologically inspired, energy-efficient micro aerial vehicle Handbook of Unmanned Aerial Vehicles. 1385-1413
Clements NS, Heck B, Vachtsevanos G. (2015) Hierarchical fault tolerant control using component based models 2001 European Control Conference, Ecc 2001. 1975-1980
Zhang B, Orchard M, Saha B, et al. (2014) A verification framework with application to a propulsion system Expert Systems With Applications. 41: 5669-5679
Brown DW, Vachtsevanos GJ. (2014) A prognostic health management based framework for fault-tolerant control Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, Phm 2011. 516-526
Raptis IA, Vachtsevanos G. (2014) An adaptive particle filtering-based framework for real-time fault diagnosis and failure prognosis of environmental control systems Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, Phm 2011. 77-84
Brown DW, Abbas M, Ginart A, et al. (2012) Turn-Off Time as an Early Indicator of Insulated Gate Bipolar Transistor Latch-up Ieee Transactions On Power Electronics. 27: 479-489
Chen C, Zhang B, Vachtsevanos G. (2012) Prediction of machine health condition using neuro-fuzzy and bayesian algorithms Ieee Transactions On Instrumentation and Measurement. 61: 297-306
Chen C, Vachtsevanos G, Orchard ME. (2012) Machine remaining useful life prediction: An integrated adaptive neuro-fuzzy and high-order particle filtering approach Mechanical Systems and Signal Processing. 28: 597-607
Chen C, Brown D, Sconyers C, et al. (2012) An integrated architecture for fault diagnosis and failure prognosis of complex engineering systems Expert Systems With Applications. 39: 9031-9040
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