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Greg Provan

Academic

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University College Cork

Contact Details

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
2023
Azzam M, Pasquale L, Provan G, Nuseibeh B.  2023.  Forensic readiness of industrial control systems under stealthy attacks. Computers & Security. 125:103010.
Vlahakis E, Provan G, Werner G, Yang S, Athanasopoulos N.  2023.  Quantifying Impact on Safety from Cyber-Attacks on Cyber-Physical Systems. IFAC-PapersOnLine. 56:246-251.
Sohège Y, Quiñones-Grueiro M, Provan G.  2023.  Automated controller tuning for Weighted Multiple Model Adaptive Control. IFAC-PapersOnLine. 56:4114-4119.
Ares-Milián MJesús, Provan G, Sohège Y, Quiñones-Grueiro M.  2023.  Exploring Unknown Plant Configurations under a Multiple Model Adaptive Control Framework. IFAC-PapersOnLine. 56:2933-2938.
2022
Vyhmeister E, Provan G, Doyle B, Bourke B, Castane GG, Reyes-Bozo L.  2022.  Comparison of time series and mechanistic models of vector-borne diseases. Spatial and Spatio-temporal Epidemiology. 41:100478.
Provan G, Quiñones-Grueiro M, Sohège Y.  2022.  Towards Real-Time Robust Adaptive Control for Non-Stationary Environments. IFAC-PapersOnLine. 55:73-78.
2020
Sohège Y, Provan G, Quiñones-Grueiro M, Biswas G.  2020.  Deep Reinforcement Learning and Randomized Blending for Control under Novel Disturbances. IFAC-PapersOnLine. 53:8175-8180.
Orizio R., Vuppala S., Basagiannis S., Provan G.  2020.  Towards an Explainable Approach for Insider Threat Detection: Constraint Network Learning. 2020 International Conference on Intelligent Data Science Technologies and Applications (IDSTA).
2019
Sohege Y, Quinones M, Provan G.  2019.  Unknown Fault Tolerant Control using Deep Reinforcement Learning: A blended control approach.
Orizio R, Provan G.  2019.  Identifying anomalies in Cyber Physical Systems using higher order derivatives and machine learning.

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