| Using ontology to guide reinforcement learning agents in unseen situations: A traffic signal control system case study S Ghanadbashi, F Golpayegani Applied Intelligence 52 (2), 1808-1824, 2022 | 36 | 2022 |
| Towards a method engineering approach for business process reengineering S Ghanadbashi, R Ramsin IET Software 10 (2), 27-44, 2016 | 24 | 2016 |
| Intelligent shared mobility systems: A survey on whole system design requirements, challenges and future direction F Golpayegani, M Gueriau, PA Laharotte, S Ghanadbashi, J Guo, ... IEEE Access 10, 35302-35320, 2022 | 20 | 2022 |
| An ontology-based intelligent traffic signal control model S Ghanadbashi, F Golpayegani 2021 IEEE international intelligent transportation systems conference (ITSC …, 2021 | 18 | 2021 |
| Adaptive workload orchestration in pure edge computing: A reinforcement-learning model Z Safavifar, S Ghanadbashi, F Golpayegani 2021 IEEE 33rd International Conference on Tools with Artificial …, 2021 | 15 | 2021 |
| Urban emergency management using intelligent traffic systems: challenges and future directions F Golpayegani, S Ghanadbashi, M Riad 2021 IEEE International Smart Cities Conference (ISC2), 1-4, 2021 | 12 | 2021 |
| Handling uncertainty in self-adaptive systems: an ontology-based reinforcement learning model S Ghanadbashi, Z Safavifar, F Taebi, F Golpayegani Journal of Reliable Intelligent Environments 10 (1), 19-44, 2024 | 11 | 2024 |
| Applying data mining techniques to business process reengineering based on simultaneous use of two novel proposed approaches S Ghanadbashi, M Khanbabaei, MS Abadeh International Journal of Business Process Integration and Management 6 (3 …, 2013 | 7 | 2013 |
| An Ontology- based Augmented Observation for Decision-making in Partially Observable Environments S Ghanadbashi, A Zarchini, F Golpayegani 15th International Conference on Agents and Artificial Intelligence (ICAART …, 2023 | 3 | 2023 |
| Urban Traffic Signal Control at the Edge: An Ontology-Enhanced Deep Reinforcement Learning Approach J Guo, S Ghanadbashi, S Wang, F Golpayegani 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 2 | 2023 |
| Ontology-based Adaptive Reward Functions S Ghanadbashi, A Zarchini, F Golpayegani Modeling and Representing Context Workshop (MRC) at European Conference on …, 2023 | 2 | 2023 |
| Run-Time Norms Synthesis in Dynamic Environments with Changing Objectives M Riad, S Ghanadbashi, F Golpayegani Irish Conference on Artificial Intelligence and Cognitive Science, 462-474, 2022 | 2 | 2022 |
| Towards the use of hypermedia mas and microservices for web scale agent-based simulation R Collier, S Russell, S Ghanadbashi, F Golpayegani SN Computer Science 3 (6), 510, 2022 | 2 | 2022 |
| Advancing Sustainable Manufacturing: Reinforcement Learning with Adaptive Reward Machine Using an Ontology-Based Approach F Golpayegani, S Ghanadbashi, A Zarchini Sustainability 16 (14), 5873, 2024 | 1 | 2024 |
| Ontology-Enhanced Decision-Making for Autonomous Agents in Dynamic and Partially Observable Environments S Ghanadbashi, F Golpayegani arXiv preprint arXiv:2405.17691, 2024 | 1 | 2024 |
| Data Sharing at the Edge of the Network: A Disturbance Resilient Multi-modal ITS I Mikolasek, S Ghanadbashi, N Afraz, F Golpayegani arXiv preprint arXiv:2405.12431, 2024 | 1 | 2024 |
| CAV-Enabled Ontology-Driven Evacuation Approach for Dynamic Emergency S Ghanadbashi, A Malekjafarian, F Gholpayegani Proceedings of the Civil Engineering Research Association of Ireland (CERAI), 2024 | 1 | 2024 |
| Reinforcement Learning Approach for Improving Platform Performance in Two-Sided Mobility Markets F Ghasemi, H Seyed Tabatabaei, S Ghanadbashi, R Kucharski, ... 27th IEEE International Conference on Intelligent Transportation Systems …, 2024 | | 2024 |
| Adaptive Traffic Management for Emergency Vehicles in Work Zones F Bandarian, S Ghanadbashi, A Malekjafarian, F Golpayegani | | |
Fatemeh GolpayeganiAssistant Professor, Computer science, University College DublinVerified email at ucd.ie