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Incremental development of business process architecture using the design science research methodology (2019)
Conference Proceeding
Sabri, M., Odeh, M., & Saad, M. (2019). Incremental development of business process architecture using the design science research methodology

This paper presents a new approach to developing a business process architecture using the design science research methodology. It is also part of the research framework development that generates a business process architecture using semantic knowle... Read More

Enhancing user fairness in OFDMA radio access networks through machine learning (2019)
Conference Proceeding
Comsa, I., Zhang, S., Aydin, M., Kuonen, P., Trestian, R., & Ghinea, G. (2019). Enhancing user fairness in OFDMA radio access networks through machine learning. In 2019 Wireless Days (WD), 1-8. https://doi.org/10.1109/WD.2019.8734262

The problem of radio resource scheduling subject to fairness satisfaction is very challenging even in future radio access networks. Standard fairness criteria aim to find the best trade-off between overall throughput maximization and user fairness sa... Read More

Mining breast cancer data with XCS (2019)
Presentation / Conference
Kharbat, F., Bull, L., & Odeh, M. (2019, June). Mining breast cancer data with XCS. Paper presented at Proceedings of the 9th annual conference on Genetic and evolutionary computation

User-centered, evolutionary search in conceptual software design (2019)
Presentation / Conference
Simons, C., & Parmee, I. C. (2019, June). User-centered, evolutionary search in conceptual software design. Paper presented at IEEE Congress on Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence)

Monitoring the performance of petrochemical organizations in Saudi Arabia using data envelopment analysis (2019)
Journal Article
Alidrisi, H., Aydin, M. E., Bafail, A. O., Abdulal, R., & Karuvatt, S. A. (2019). Monitoring the performance of petrochemical organizations in Saudi Arabia using data envelopment analysis. Mathematics, 7(6), 519. https://doi.org/10.3390/math7060519

The petrochemical industry plays a crucial role in the economy of the Kingdom of Saudi Arabia. Therefore, the effectiveness and efficiency of this industry is of high importance. Data envelopment analysis (DEA) is found to be more acceptable in measu... Read More

OntoSoS.QR: Semantic representation of quality requirements metamodel for systems of systems (2019)
Conference Proceeding
Qaddoumi, E., Odeh, M., Khan, Z., & Kossmann, M. (in press). OntoSoS.QR: Semantic representation of quality requirements metamodel for systems of systems. https://doi.org/10.1109/ACIT.2018.8672693

Semantic representation is increasingly used in today’s works. With interoperability issues between different constituent systems in the Systems of Systems (SoS) arrangement, it is necessary to have a common vocabulary between heterogenetic systems t... Read More

Investigating the role of knowledge management in driving the development of an effective business process architecture (2019)
Thesis
Sabri, M. Investigating the role of knowledge management in driving the development of an effective business process architecture. (Thesis). Gloucestershire. Retrieved from https://uwe-repository....ribe.com/output/1490925

Business Process Architecture (BPA) modelling methods are not dynamic and flexible enough to effectively respond to changes. This may create a barrier that contributes to a lack of knowledge and learning capabilities which can affect the BPA regardin... Read More

An agent-based approach for strategic alignment in enterprise systems: A cancer care case (2019)
Conference Proceeding
Aydin, M. E., Oztemel, E., Nashawati, D., Odeh, M., & Mansour, A. (2019). An agent-based approach for strategic alignment in enterprise systems: A cancer care case. In M. Odeh, & F. Kharbat (Eds.),

Enterprise systems are viewed as large-scale software systems, which are usually assembled through a number of protocols inspired by political coalitions. This is due to the fact that incompatibilities emerge through the nature of subsystems can only... Read More

A semantically-enriched quality governance framework for systems of systems applied to Cancer Care (2019)
Conference Proceeding
Qaddoumi, E., Odeh, M., Khan, Z., Kossmann, M., Tbakhi, A., & Mansour, A. (in press). A semantically-enriched quality governance framework for systems of systems applied to Cancer Care

Quality Governance of Systems of Systems (SoS) is a very complex challenge, given that participating systems in the arrangement are often not under direct control and they have different life cycles; yet one has to ensure that the required level of q... Read More

An interactive metaheuristic search framework for software service identification from business process models (2019)
Thesis
identification from business process models. (Thesis). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/853842

In recent years, the Service-Oriented Architecture (SOA) model of computing has become widely used and has provided efficient and agile business solutions in response to inevitable and rapid changes in business requirements. Software service identifi... Read More

An adaptive opportunistic routing scheme for reliable data delivery in WSNs (2018)
Conference Proceeding
Hasnain, M., Malik, M. H., & Aydin, M. E. (2018). An adaptive opportunistic routing scheme for reliable data delivery in WSNs. In A. Abuarqoub, M. Hammudah, & S. Murad (Eds.), Proceedings of the 2nd International Conference on Future Networks and Distributed Systems - ICFNDS '18, 1-7. https://doi.org/10.1145/3231053.3231085

With the emergence of miniature technologies such as sensor nodes powered with limited batteries, many applications came into existence such as detection of mine reconnaissance, pollution monitoring, data gathering from remote locations, etc. Sensor... Read More

Building collaboration in multi-agent systems using reinforcement learning (2018)
Journal Article
Aydin, M. E., & Fellows, R. (2018). Building collaboration in multi-agent systems using reinforcement learning. Lecture Notes in Artificial Intelligence, 11056, 201-212. https://doi.org/10.1007/978-3-319-98446-9_19

This paper presents a proof-of concept study for demonstrating the viability of building collaboration among multiple agents through standard Q learning algorithm embedded in particle swarm optimisation. Collaboration is formulated to be achieved amo... Read More

Diversifying search in bee algorithms for numerical optimisation (2018)
Journal Article
Düg̃enci, M., & Aydin, M. E. (2018). Diversifying search in bee algorithms for numerical optimisation. Lecture Notes in Artificial Intelligence, 11056, 132-144. https://doi.org/10.1007/978-3-319-98446-9_13

Swarm intelligence offers useful instruments for developing collective behaviours to solve complex, ill-structured and large-scale problems. Efficiency in collective behaviours depends on how to harmonise the individual contributions so that a comple... Read More

Towards 5G: A reinforcement learning-based scheduling solution for data traffic management (2018)
Journal Article
Comşa, I., Zhang, S., Aydin, M., Kuonen, P., Lu, Y., Trestian, R., & Ghinea, G. (2018). Towards 5G: A reinforcement learning-based scheduling solution for data traffic management. IEEE Transactions on Network and Service Management, 15(4), 1661-1675. https://doi.org/10.1109/TNSM.2018.2863563

Dominated by delay-sensitive and massive data applications, radio resource management in 5G access networks is expected to satisfy very stringent delay and packet loss requirements. In this context, the packet scheduler plays a central role by alloca... Read More