Dr. Ahmad Alelaimat is a Lecturer at Skyline Higher Education Australia (SHEA), with additional academic and research experience at leading Australian universities, including the University of Sydney and Australian Catholic University. Alelaimat holds a PhD in Computer Science from the University of Wollongong, focusing on the application of Agentic AI to Business Process Management and Digital Twins. His research has been published in respected venues, including Computers in Industry, and presented at leading international AI conferences such as PRIMA and EXTRAAMAS. He has also served as a research supervisor, academic moderator, and subject coordinator, and has been invited to speak at multiple university symposia and public engagement events, including APERA, DSL, and ASSRI.
- Alelaimat, A., Hussein, F., & Aljaafreh, A. (2025). Explainable execution of socio-technical processes. In 2025 IEEE International Conference on e-Business Engineering (ICEBE) (pp. 138–143). IEEE Computer Society.
- Alelaimat, A., Ghose, A., & Dam, H. K. (2023, May). Leveraging Imperfect Explanations for Plan Recognition Problems. In International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems (pp. 231-248). Cham: Springer Nature Switzerland
- Alelaimat, A., Ghose, A., & Dam, H. K. (2023, May). Mining and Validating Belief-Based Agent Explanations. In International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems (pp. 3-17). Cham: Springer Nature Switzerland.
- Alelaimat, A., Ghose, A., & Dam, H. K. (2023). XPlaM: A toolkit for automating the acquisition of BDI agentbased Digital Twins of organizations. Computers in Industry, 145, 103805.
- Alelaimat, A., Ghose, A., & Dam, H. K. (2021). Abductive design of BDI agent-based digital twins of organizations. In PRIMA 2020: Principles and Practice of Multi-Agent Systems: 23rd International Conference, Nagoya, Japan, November 18–20, 2020, Proceedings 23 (pp. 377-385). Springer International Publishing.
- Alelaimat, A., Santipuri, M., Gou, Y., & Ghose, A. (2018). Learning planning model for semantic process compensation. In Service Research and Innovation: 5th and 6th Australasian Symposium, ASSRI 2015 and ASSRI 2017, Sydney, NSW, Australia, November 2–3, 2015, and October 19–20, 2017, Revised Selected Papers 5 (pp. 35-47). Springer International Publishing.
- Alelaimat, A., & Al-Ghuwairi, A. R. (2015, November). Procedural assessment process of software quality models using agility. In Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication (pp. 1-5).
