Dr. Robert O'Connor

Dr. Robert O'Connor



Advisor / Co. Advisor

Prof. Grepl 

Thesis Title

Reduced Basis Methods for the Analysis, Simulation, and Control of Noncoercive Parabolic Systems

New Affiliation



  • 10/2011 - 06/2018: Doctoral student at Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen.
  • 02/2011 - 06/2011 Exchange Student, Department of Mathematics, Universidad Autónoma de Madrid, Madrid, Spain.
  • 09/2008 - 12/2010 Masters of Science in Electrical Engineering, University of Pittsburgh, Pittsburgh PA, USA.
  • 09/2004 - 04/2008 Bachelor of Science in Electrical Engineering, University of Pittsburgh, Pittsburgh PA, USA.
    • Academic year 2006-2007: Study Abroad - Tecnológico de Monterrey, Monterrey, México.
    • Academic year 2005-2006: Study Abroad - Nantes, France

Research Interests

Model-order reduction, Optimization, Control, Parameter Estimation/Tracking, machine learning, and Partial differential equations.



  • O'Connor, R.; A Successive Constraint Approach to Solving Parameter-Dependent Linear Matrix Inequalities, C. R. Math., 2017. arXivWebsite.
  • O'Connor, R.; Bounding Stability Constants for Affinely Parameter-Dependent Operators, C. R. Math., 2016. arXiv, PDF, Website.

Book Chapters:


  • O'Connor, R.; Lyapunov-based error bounds for the reduced-basis method, IFAC-PapersOnLine, Volume 49, Issue 8, Pages 1-6, 2016. WebsitePDF
  • O'Connor, R.; Reed, G.; Mao, Z. H.; Jones, A.; Improving Renewable Resource Utilization through Integrated Generation Management, Power and Energy Society General Meeting, 2010 IEEE. Website


  • O'Connor, R.; Reduced Basis Methods for the Analysis Simulation, and Control of Noncoercive Parabolic Systems. Dissertation, RWTH Aachen University, 2018. WebsitePDF
  • O'Connor, R.; Benefits of Spatial Smoothing for the Integration of Wind Power. Master's Thesis, University of Pittsburgh, 2011. Website


Programming Challenges

Project Euler:

Competitive Programming: