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Fouad Bahrpeyma

A review of the applications of multi-agent reinforcement learning in smart factories
2022 · Fouad Bahrpeyma, Dirk Reichelt · Frontiers in Robotics and AI · 101
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Study on the application of single-agent and multi-agent reinforcement learning to dynamic scheduling in manufacturing environments with growing complexity: Case study on the synthesis of an industrial IoT Test Bed
2024 · David Heik, Fouad Bahrpeyma, et al. · Journal of Manufacturing Systems · 35
An adaptive RL based approach for dynamic resource provisioning in Cloud virtualized data centers
2015 · Fouad Bahrpeyma, Hassan Haghighi, et al. · Computing · 26
A Systematic Mapping Study on Machine Learning Techniques Applied for Condition Monitoring and Predictive Maintenance in the Manufacturing Sector
2022 · Thuy Linh Jenny Phan, Ingolf Gehrhardt, et al. · Logistics · 23
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Using IDS fitted Q to develop a real-time adaptive controller for dynamic resource provisioning in Cloud's virtualized environment
2014 · Fouad Bahrpeyma, Ali Zakerolhoseini, et al. · Applied Soft Computing · 23
Fast fuzzy modeling method to estimate missing logsin hydrocarbon reservoirs
2013 · Fouad Bahrpeyma, Bahman Golchin, et al. · Journal of Petroleum Science and Engineering · 23
A Methodology for Validating Diversity in Synthetic Time Series Generation
2021 · Fouad Bahrpeyma, Mark Roantree, et al. · MethodsX · 21
A Meta-learner approach to multistep-ahead time series prediction
2024 · Fouad Bahrpeyma, Vuong M. Ngo, et al. · International Journal of Data Science and Analytics · 8
An end to end workflow for synthetic data generation for robust object detection*
2023 · Johannes Metzler, Fouad Bahrpeyma, et al. · IEEE International Conference on Industrial Informatics (INDIN) · 8
Application of Reinforcement Learning to UR10 Positioning for Prioritized Multi-Step Inspection in NVIDIA Omniverse
2023 · Fouad Bahrpeyma, Abishek Sunilkumar, et al. · IEEE Symposium on Industrial Electronics & Applications (ISIEA) · 8
Active Learning Method for Estimating Missing Logs in Hydrocarbon Reservoirs
2015 · Fouad Bahrpeyma, Constantin Cranganu, et al. · Springer eBooks · 8
A bipolar resource management framework for resource provisioning in Cloud’s virtualized environment
2016 · Fouad Bahrpeyma, Hassan Haghighi, et al. · Applied Soft Computing · 7
Use of Active Learning Method to Determine the Presence and Estimate the Magnitude of Abnormally Pressured Fluid Zones: A Case Study from the Anadarko Basin, Oklahoma
2015 · Constantin Cranganu, Fouad Bahrpeyma · Springer eBooks · 7
Adaptive manufacturing: dynamic resource allocation using multi-agent reinforcement learning
2024 · David Heik, Fouad Bahrpeyma, et al. · Fachkonferenz Angewandte Automatisierungstechnik in Lehre und Entwicklung (AALE) · 6
Application of Multi-agent Reinforcement Learning to the Dynamic Scheduling Problem in Manufacturing Systems
2024 · David Heik, Fouad Bahrpeyma, et al. · Lecture notes in computer science · 6
Multistep-ahead Prediction: A Comparison of Analytical and Algorithmic Approaches
2018 · Fouad Bahrpeyma, Mark Roantree, et al. · Lecture notes in computer science · 6
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Multi-resolution forecast aggregation for time series in agri datasets
2017 · Fouad Bahrpeyma, Mark Roantree, et al. · Dublin City University Open Access Institutional Repository (Dublin City University) · 6
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Solving a Dynamic Scheduling Problem for a Manufacturing System with Reinforcement Learning
2024 · David Heik, Fouad Bahrpeyma, et al. · Lecture notes in networks and systems · 5
Dynamic Job Shop Scheduling in an Industrial Assembly Environment Using Various Reinforcement Learning Techniques
2023 · David Heik, Fouad Bahrpeyma, et al. · Lecture notes in networks and systems · 5
Explainable AI (XAI): Making LLM decisions transparent and trustworthy
2025 · Amirfarhad Farhadi, Azadeh Zamanifar, et al. · Chapman & Hall/CRC eBooks · 4
Improving the Accuracy of Active Learning Method via Noise Injection for Estimating Hydraulic Flow Units: An Example from a Heterogeneous Carbonate Reservoir
2015 · Fouad Bahrpeyma, Constantin Cranganu, et al. · Springer eBooks · 4
Application of Inhomogeneous QMIX in Various Architectures to Solve Dynamic Scheduling in Manufacturing Environments
2024 · David Heik, Alexander Bohm, et al. · IEEE International Conference on Industrial Informatics (INDIN) · 3
Anwendung von Reinforcement Learning in industriellen cyberphysischen Systemen
2023 · David Heik, Fouad Bahrpeyma, et al. · Fachkonferenz Angewandte Automatisierungstechnik in Lehre und Entwicklung (AALE) · 3
An overview of the applications of reinforcement learning to robot programming: discussion on the literature and the potentials
2024 · Abishek Sunilkumar, Fouad Bahrpeyma, et al. · Fachkonferenz Angewandte Automatisierungstechnik in Lehre und Entwicklung (AALE) · 2
Establishing diversity in synthetic time series for prediction performance evaluation
2021 · Fouad, Bahrpeyma, Mark, Roantree, et al. · Figshare · 2
Works count: 50
Citation count: 354
H-index: 8
I10-index: 7
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