Towards process lines for agent-oriented requirements engineering. - Fatemeh Golpayegani; Keyvan Azadbakht; Raman Ramsin (EUROCON, 2013)

Collaborative, parallel Monte Carlo Tree Search for autonomous electricity demand management. - Fatemeh Golpayegani; Ivana Dusparic; Siobhán Clarke (SustainIT, 2015)

Multi-agent Collaboration in Distributed Self-Adaptive Systems. - Fatemeh Golpayegani (SASO Workshops, 2015)

Multi-agent Collaboration for Conflict Management in Residential Demand Response. - Fatemeh Golpayegani; Ivana Dusparic; Adam Taylor; Siobhán Clarke (Comput. Commun., 2016)

Co-Ride: Collaborative Preference-Based Taxi-Sharing and Taxi-Dispatch. - Fatemeh Golpayegani; Siobhán Clarke (ICTAI, 2018)

Participant Selection for Short-term Collaboration in Open Multi-agent systems. - Fatemeh Golpayegani; Zahra Sahaf; Ivana Dusparic; Siobhán Clarke (Simul. Model. Pract. Theory, 2018)

Are Mobile Apps Usable and Accessible for Senior Citizens in Smart Cities? - Elenia Carrasco Almao; Fatemeh Golpayegani (HCI (27), 2019)

CoMASig: A Collaborative Multi-Agent Signal Control to Support Senior Drivers. - José Monreal Bailey; Fatemeh Golpayegani; Siobhán Clarke (ITSC, 2019)

A Machine Learning Approach to Bridge-Damage Detection Using Responses Measured on a Passing Vehicle. - Abdollah Malekjafarian; Fatemeh Golpayegani; Callum Moloney; Siobhán Clarke (Sensors, 2019)

Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-Agent Systems. - Fatemeh Golpayegani; Ivana Dusparic; Siobhán Clarke (ACM Trans. Intell. Syst. Technol., 2019)

Run-Time Norms Synthesis in Multi-objective Multi-agent Systems. - Maha Riad; Fatemeh Golpayegani (COINE, 2021)

Adaptive Workload Orchestration in Pure Edge Computing: A Reinforcement-Learning Model. - Zahra Safavifar; Saeedeh Ghanadbashi; Fatemeh Golpayegani (ICTAI, 2021)

Urban Emergency Management using Intelligent Traffic Systems: Challenges and Future Directions. - Fatemeh Golpayegani; Saeedeh Ghanadbashi; Maha Riad (ISC2, 2021)

An Ontology-Based Intelligent Traffic Signal Control Model. - Saeedeh Ghanadbashi; Fatemeh Golpayegani (ITSC, 2021)

Harnessing Hypermedia MAS and Microservices to Deliver Web Scale Agent-based Simulations. - Rem W. Collier; Sean Edward Russell; Fatemeh Golpayegani (WEBIST, 2021)

Pregnancy loss and unethical algorithms: Ethical issues in targeted advertising. - Fatemeh Golpayegani (CoRR, 2021)

Run-Time Norms Synthesis in Dynamic Environments with Changing Objectives. - Maha Riad; Saeedeh Ghanadbashi; Fatemeh Golpayegani (AICS, 2022)

A Normative Multi-objective Based Intersection Collision Avoidance System. - Maha Riad; Fatemeh Golpayegani (KES-AMSTA, 2022)

Intelligent Shared Mobility Systems: A Survey on Whole System Design Requirements, Challenges and Future Direction. - Fatemeh Golpayegani; Maxime Guériau; Pierre-Antoine Laharotte; Saeedeh Ghanadbashi; Jiaying Guo; Jack Geraghty; Shen Wang 006 (IEEE Access, 2022)

Satisfying user preferences in optimised ridesharing services. - Vinicius Renan de Carvalho; Fatemeh Golpayegani (Appl. Intell., 2022)

Using ontology to guide reinforcement learning agents in unseen situations. - Saeedeh Ghanadbashi; Fatemeh Golpayegani (Appl. Intell., 2022)

Towards the Use of Hypermedia MAS and Microservices for Web Scale Agent-Based Simulation. - Rem W. Collier; Sean Edward Russell; Saeedeh Ghanadbashi; Fatemeh Golpayegani (SN Comput. Sci., 2022)

subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment. - Zeyneddin Oz; Ceylan Soygul Oz; Abdollah Malekjafarian; Nima Afraz; Fatemeh Golpayegani (Euro-Par Workshops, 2023)

An Ontology-Based Augmented Observation for Decision-Making in Partially Observable Environments. - Saeedeh Ghanadbashi; Akram Zarchini; Fatemeh Golpayegani (ICAART (2), 2023)

A Robust Adaptive Workload Orchestration in Pure Edge Computing. - Zahra Safavifar; Charafeddine Mechalikh; Fatemeh Golpayegani (ICAART (2), 2023)

Fault Tolerant Robust Adaptive Workload Orchestration in Pure Edge Computing. - Zahra Safavifar; Charafeddine Mechalikh; Fatemeh Golpayegani (ICAART (Revised Selected Paper), 2023)

Conflict Management in the Near-RT-RIC of Open RAN: A Game Theoretic Approach. - Abdul Wadud; Fatemeh Golpayegani; Nima Afraz (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2023)

Urban Traffic Signal Control at the Edge: An Ontology-Enhanced Deep Reinforcement Learning Approach. - Jiaying Guo; Saeedeh Ghanadbashi; Shen Wang 006; Fatemeh Golpayegani (ITSC, 2023)

Enhancing VRUs Safety Through Mobility-Aware Workload Orchestration with Trajectory Prediction using Reinforcement Learning. - Zahra Safavifar; Charafeddine Mechalikh; Junfei Xie; Fatemeh Golpayegani (ITSC, 2023)

Multi-Value Alignment in Normative Multi-Agent System: Evolutionary Optimisation Approach. - Maha Riad; Vinicius Renan de Carvalho; Fatemeh Golpayegani (CoRR, 2023)

Multi-Value Alignment in Normative Multi-Agent System: An Evolutionary Optimisation Approach. - Maha Riad; Vinicius Renan de Carvalho; Fatemeh Golpayegani (CoRR, 2023)

A Machine-Learning-Based Approach for Railway Track Monitoring Using Acceleration Measured on an In-Service Train. - Abdollah Malekjafarian; Chalres-Antoine Sarrabezolles; Muhammad Arslan Khan; Fatemeh Golpayegani (Sensors, 2023)

Ontology-Based Reinforcement Learning for Semantic Offloading in MEC-Enabled 6G IoT Networks. - Eric Gyamfi; James Adu Ansere; Fatemeh Golpayegani (ISNCC, 2024)

Reinforcement Learning Approach for Improving Platform Performance in Two-Sided Mobility Markets. - Farnoud Ghasemi; Seyed Hassan Tabatabaei; Saeedeh Ghanadbashi; Rafal Kucharski; Fatemeh Golpayegani (ITSC, 2024)

CAPTAIN CARBON: Using Gamification to Influence Students Choice for Sustainable Transport. - Mark Tynan; Evan Byrne; Carlo Finnegan; Maxim Zack Istasse; Ivan Kalgashkin; Honghui Du; Fatemeh Golpayegani (ITSC, 2024)

Multi-Objective Deep Reinforcement Learning for Efficient Workload Orchestration in Extreme Edge Computing. - Zahra Safavifar; Eric Gyamfi; Eleni E. Mangina; Fatemeh Golpayegani (IEEE Access, 2024)

On the Sum Secrecy Rate Maximisation for Wireless Vehicular Networks. - Muhammad Farooq 002; Le-Nam Tran; Fatemeh Golpayegani; Nima Afraz (CoRR, 2024)

An Adaptive System Architecture for Multimodal Intelligent Transportation Systems. - Muhammad Farooq 002; Nima Afraz; Fatemeh Golpayegani (CoRR, 2024)

DVS-RG: Differential Variable Speed Limits Control using Deep Reinforcement Learning with Graph State Representation. - Jingwen Yang; Ping Wang 017; Fatemeh Golpayegani; Shen Wang (CoRR, 2024)

Data Sharing at the Edge of the Network: A Disturbance Resilient Multi-modal ITS. - Igor Mikolasek; Saeedeh Ghanadbashi; Nima Afraz; Fatemeh Golpayegani (CoRR, 2024)

Ontology-Enhanced Decision-Making for Autonomous Agents in Dynamic and Partially Observable Environments. - Saeedeh Ghanadbashi; Fatemeh Golpayegani (CoRR, 2024)

subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environment. - Zeyneddin Oz; Ceylan Soygul Oz; Abdollah Malekjafarian; Nima Afraz; Fatemeh Golpayegani (CoRR, 2024)

xApp-Level Conflict Mitigation in O-RAN, a Mobility Driven Energy Saving Case. - Abdul Wadud; Fatemeh Golpayegani; Nima Afraz (CoRR, 2024)

Handling uncertainty in self-adaptive systems: an ontology-based reinforcement learning model. - Saeedeh Ghanadbashi; Zahra Safavifar; Farshad Taebi; Fatemeh Golpayegani (J. Reliab. Intell. Environ., 2024)

QACM: QoS-Aware xApp Conflict Mitigation in Open RAN. - Abdul Wadud; Fatemeh Golpayegani; Nima Afraz (IEEE Trans. Green Commun. Netw., 2024)

Adaptive Traffic Management for Emergency Vehicles in Work Zones. - Fatemeh Bandarian; Saeedeh Ghanadbashi; Abdollah Malekjafarian; Fatemeh Golpayegani (VEHITS, 2025)

Quality matters: A comprehensive comparative study of edge computing simulators. - Charafeddine Mechalikh; Abd El Heq Silem; Zahra Safavifar; Fatemeh Golpayegani (Simul. Model. Pract. Theory, 2025)