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Greg Provan

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University College Cork

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OFFICE: Wgb 1-71

TEL: +353 21 4205928

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Professor Gregory Provan is a Professor at the Computer Science Department at University College Cork. He is Director of the Blended Autonomous Systems Spoke with Lero, and is a Funded Investigator with the Insight Center. His current research interests are in machine learning (especially deep learning), autonomous systems, model-based diagnostics and control, and embedded systems and embedded code generation. He holds a DPhil from Oxford University, and MSc from Stanford University, and a BSE from Princeton University.

  • Publications
2019
Sohege Y, Quinones M, Provan G.  2019.  Unknown Fault Tolerant Control using Deep Reinforcement Learning: A blended control approach.
2018
Provan G, Sohege Y.  2018.  Comparison of Control and Cooperation Frameworks for Blended Autonomy . European Control Conference.
Orizio R, Provan G, Ranade A, Mady A.  2018.  Physics-Based Methods for Responding to Attacks and Faults . CPS-Week.
Provan G.  2018.  Diagnosing Hybrid Dynamical Systems Using Max-Plus Algebraic Methods.
2017
Provan G.  2017.  An Algebraic Approach for Diagnosing Discrete-Time Hybrid Systems. 28th International Workshop on Principles of Diagnosis (DX'17).
Sohege Y, Provan G.  2017.  Comparing Switching and Mixing Model-Predictive Controllers for Robust Fault-Tolerant Control. 28th Itnl. Workshop on Model-Based Diagnosis.
Provan G.  2017.  Optimizing GPU-based Scientific Computing using Algebraic Technique. IEEE Itnl. Conference on Design and Technology of Integrated Systems.
Provan G, Riccardo O.  2017.  Physics-Based Methods for Distinguishing Attacks from Faults. Tenth International Conference on Advances in Circuits, Electronics and Micro-electronics.
Provan G.  2017.  Co-Design of Embeddable Diagnostics using Reduced-Order Models**The paper has been supported by SFI grants 12/RC/2289 and 13/RC/2094. IFAC-PapersOnLine. 50:12222-12229.
2016
Provan G.  2016.  A General Characterization of Model-Based Diagnosis .

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