Ammar Abbas MSc

Marie Curie Early Stage Researcher

Publikationen

2024
Experiment Data: Human-in-the-loop Decision Support in Process Control Rooms

Amazu, C. W., Mietkiewicz, J., Abbas, A. N., Briwa, H., Perez, A. A., Baldissone, G., Demichela, M., Fissore, D., Madsen, A. L., & Leva, M. C. (2024). Experiment Data: Human-in-the-loop Decision Support in Process Control Rooms. Data in Brief, 110170.
Enhancing Control Room Operator Decision Making

Mietkiewicz, J.; Abbas, A.N.; Amazu, C.W.; Baldissone, G.; Madsen, A.L.; Demichela, M.; Leva, M.C. Enhancing Control Room Operator Decision Making. Processes 2024, 12, 328. https://doi.org/10.3390/pr12020328
Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance

Abbas, A. N., Chasparis, G. C., & Kelleher, J. D. (2024). Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance. Data & Knowledge Engineering, 149, 102240.
2023
Dynamic Influence Diagram-Based Deep Reinforcement Learning Framework and Application for Decision Support for Operators in Control Rooms

Mietkiewicz, J., Abbas, A. N., Amazu, C. W., Madsen, A. L., & Baldissone, G. (2023). Dynamic Influence Diagram-Based Deep Reinforcement Learning Framework and Application for Decision Support for Operators in Control Rooms. Proceeding of the 33rd European Safety and Reliability Conference.
Decision Making for Process Control Management in Control Rooms: A Survey Methodology and Initial Findings

Amazu C., Abbas A., Demichela M., Fissore D., (2023). Decision Making for Process Control Management in Control Rooms: a Survey Methodology and Initial Findings, Chemical Engineering Transactions, 99, 271-276.
2022
Deep Residual Policy Reinforcement Learning as a Corrective Term in Process Control for Alarm Reduction: A Preliminary Report

Abbas, A., Chasparis, G., & Kelleher, J. (2022). Deep Residual Policy Reinforcement Learning as a Corrective Term in Process Control for Alarm Reduction: A Preliminary Report. 2022 European Conference on Safety and Reliability (ESREL)
Interpretable Input-Output Hidden Markov Model- Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines

Abbas, A. N., Chasparis, G. C., & Kelleher, J. D. (2022). Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines. Lecture Notes in Computer Science, 133–148.