Applying data mining techniques to business process reengineering based on simultaneous use of two novel proposed approaches. - Saeedeh Ghanadbashi; Mohammad Khanbabaei; Mohammad Saniee Abadeh (Int. J. Bus. Process. Integr. Manag., 2013)

Towards a method engineering approach for business process reengineering. - Saeedeh Ghanadbashi; Raman Ramsin (IET Softw., 2016)

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)

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

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)

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

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)

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)

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)

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