Georgios C. Chasparis

Software Competence Center Hagenberg (Austria) — Austria

Decision Sciences · Social Sciences

13h-index675citations95works1.72yr avg
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Research Topics

Game Theory and Applications(16), Smart Grid Energy Management(14), Building Energy and Comfort Optimization(12), Distributed and Parallel Computing Systems(10), Reinforcement Learning in Robotics(9)

Publications95 total

Specialized Deep Residual Policy Reinforcement Learning Framework for Safe and Adaptive Continuous Control
IET Control Theory and Applications·2026Open Access
Aspiration-based Perturbed Learning Automata in Games with Noisy Utility Measurements. Part A: Stochastic Stability in Non-zero-Sum Games
arXiv (Cornell University)·2025Open Access
A Methodology and Replication Roadmap for Designing Digital Twins in Additive Manufacturing
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
A Methodology and Replication Roadmap for Designing Digital Twins in Additive Manufacturing
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Causally-Guided Pairwise Transformer -- Towards Foundational Digital Twins in Process Industry
arXiv (Cornell University)·2025Open Access
Hourly Short Term Load Forecasting for Residential Buildings and Energy Communities
arXiv (Cornell University)·2025Open Access
Investigating the Potential of Latent Space for the Classification of Paint Defects
Journal of Imaging·2025Open Access
Causal Time-Series Synchronization for Multi-Dimensional Forecasting
Procedia Computer Science·2025Open Access
Automated Knowledge Graph Learning in Industrial Processes
Procedia Computer Science·2025· 5 citedOpen Access
Causal Time-Series Synchronization for Multi-Dimensional Forecasting
arXiv (Cornell University)·2024Open Access
Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies
International Journal of Human-Computer Interaction·2024· 13 citedOpen Access
Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach
arXiv (Cornell University)·2024Open Access
Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry
arXiv (Cornell University)·2024Open Access
Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach
2024· 3 cited
AI-Powered Predictions for Electricity Load in Prosumer Communities
arXiv (Cornell University)·2024· 2 citedOpen Access
Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces
2024· 5 citedOpen Access
Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry
Lecture notes in computer science·2024· 2 cited
PAS - A Feature Selection Process Definition for Industrial Settings
Procedia Computer Science·2024Open Access
Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance
Data & Knowledge Engineering·2023· 22 cited
Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement Learning
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Jeff S. Shamma(10), Michael Mayr(7), Ammar N. Abbas(6), John D. Kelleher(6), Sabrina Luftensteiner(5), Thomas Natschläger(4), Michael Rossbory(4), Vladimir Janjic(3), Mario Pichler(3), Anders Rantzer(3), Thomas Natschlaeger(3), Thomas Grubinger(2), Evangelos Papadopoulos(2), А. В. Кычкин(2), Ari Arapostathis(2), Martina Maggio(2), Enrico Bini(2), Karl-Erik Årzén(2), Maria Chiara Leva(2), Jorge Martínez-Gil(2)