| A machine learning approach to bridge-damage detection using responses measured on a passing vehicle A Malekjafarian, F Golpayegani, C Moloney, S Clarke Sensors 19 (18), 4035, 2019 | 125 | 2019 |
| Residential demand response: Experimental evaluation and comparison of self-organizing techniques I Dusparic, A Taylor, A Marinescu, F Golpayegani, S Clarke Renewable and Sustainable Energy Reviews 80, 1528-1536, 2017 | 48 | 2017 |
| 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 |
| Multi-agent collaboration for conflict management in residential demand response F Golpayegani, I Dusparic, A Taylor, S Clarke Computer Communications 96, 63-72, 2016 | 32 | 2016 |
| Railway track loss-of-stiffness detection using bogie filtered displacement data measured on a passing train A Malekjafarian, EJ OBrien, P Quirke, D Cantero, F Golpayegani Infrastructures 6 (6), 93, 2021 | 30 | 2021 |
| Are Mobile Apps Usable and Accessible for Senior Citizens in Smart Cities? EC Almao, F Golpayegani HCII, 2019 | 28 | 2019 |
| Using social dependence to enable neighbourly behaviour in open multi-agent systems F Golpayegani, I Dusparic, S Clarke ACM Transactions on Intelligent Systems and Technology (TIST) 10 (3), 1-31, 2019 | 23 | 2019 |
| 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 International Intelligent Transportation Systems Conference (ITSC), 2021 | 18 | 2021 |
| Collaborative, parallel Monte Carlo tree search for autonomous electricity demand management F Golpayegani, I Dusparic, S Clarke 2015 Sustainable Internet and ICT for Sustainability (SustainIT), 1-8, 2015 | 18 | 2015 |
| Participant selection for short-term collaboration in open multi-agent systems F Golpayegani, Z Sahaf, I Dusparic, S Clarke Simulation Modelling Practice and Theory 83, 149-161, 2018 | 17 | 2018 |
| Indirect monitoring of critical transport infrastructure: Data analytics and signal processing A Malekjafarian, EJ OBrien, F Golpayegani Data analytics for smart cities, 143-162, 2018 | 16 | 2018 |
| 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 |
| Co-Ride: Collaborative Preference-based Taxi-sharing and Taxi-dispatch F Golpayegani, S Clarke 30th International Conference on Tools with Artificial Intelligence, 2018 | 15 | 2018 |
| A machine-learning-based approach for railway track monitoring using acceleration measured on an in-service train A Malekjafarian, CA Sarrabezolles, MA Khan, F Golpayegani Sensors 23 (17), 7568, 2023 | 14 | 2023 |
| Run-time Norms Synthesis in Multi-Objective Multi-Agent Systems M Riad, F Golpayegani 20th International Conference on Autonomous Agents and Multiagent Systems …, 2021 | 13 | 2021 |
| Urban Emergency Management using Intelligent Traffic Systems: Challenges and Future Directions F Golpayegani, S Ghanadbashi, M Riad | 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 |
| Towards process lines for agent-oriented requirements engineering F Golpayegani, K Azadbakht, R Ramsin Eurocon 2013, 550-557, 2013 | 11 | 2013 |
| Satisfying user preferences in optimised ridesharing services: A multi-agent multi-objective optimisation approach VR de Carvalho, F Golpayegani Applied Intelligence 52 (10), 11257-11272, 2022 | 9 | 2022 |
Siobhan ClarkeProfessor of Software Systems, Trinity College DublinAdresse e-mail validée de tcd.ie