Computer Science

Economou, D., Mitelpunkt, D., McKenna, H., MacDowell, P., Nikou, S. and Doumanis, I. 2025. AI²LM-HE Panel Session: Advancing Interactive & Immersive Learning Media in Higher Education – Insights from a Systematic Expert Review. 11th International Conference of the Immersive Learning Research Network, iLRN 2025 - iLEAD Proceedings. Chicago, Illinois 15 - 19 Jun 2025 Immersive Learning Research Network.

Doumanis, I. and Economou, D. 2024. Enhanced Retention of Historical Information with Empathetic Pedagogical Conversational Agents (PCAs). International Conference on Intelligent Tutoring Systems (ITS2024). Thessaloniki, Greece 10 - 13 Jun 2024 Springer Nature. https://doi.org/10.1007/978-3-031-73990-3_6

Aslama Horowitz, M., NIeminen, H., Lehtisaari, L. and D'Arma, A. (ed.) 2024. Epistemic Rights in the Era of Digital Disruption. Palgrave Macmillan.

Alshejari, Abeer, Kodogiannis, Vassilis S. and Leonidis, Stavros 2023. Combining Feature Selection Techniques and Neurofuzzy Systems for the Prediction of Total Viable Counts in Beef Fillets Using Multispectral Imaging. Sensors. 23 (23) 9451. https://doi.org/10.3390/s23239451

Jarvis, J., Triantaphillidou, Sophie, Farias, Mylene and Jenkin, Robin 2023. Editorial: Scene-dependent image quality and visual assessment. Frontiers in Neuroscience. 17 1205341. https://doi.org/10.3389/fnins.2023.1205341

Bolotov, A., Volpi, E. and Chan You Fee, D. 2022. The Digital Health Evidence Generator. University of Westminster. https://doi.org/10.34737/w6866

Triantaphillidou, S., Jarvis, J. and Gupta, G. 2022. Contrast discrimination in images of natural scenes. Journal of the Optical Society of America A. 39 (6), pp. B50-B64. https://doi.org/10.1364/JOSAA.447390

Doumanis, Ioannis and Economou, Daphne 2021. REVERIE Virtual Hangout: An Immersive Social and Collaborative VR Experience. International Journal of Virtual and Augmented Reality. 5 (2), pp. 18-39. https://doi.org/10.4018/ijvar.2021070103

Doumanis, I., Economou, D. and Argyriou, L. 2021. Measuring and Comparing QoE of Hybrid VR Applications under increased network load. 7th International Conference of the Immersive Learning Research Network (iLRN 2021). Online 17 May - 10 Jun 2021 IEEE . https://doi.org/10.23919/iLRN52045.2021.9459316

Kodogiannis, V. and Alshejari, A. 2020. An Extended NRBF Model for the Detection of Meat Spoilage. 10th IEEE International Conference on Intelli­gent Systems IS’20. Varna, Bulgaria 26 - 28 Aug 2020 IEEE . https://doi.org/10.1109/IS48319.2020.9200181

Economou, D., Doumanis, I., Bouki, V. and Mentzelopoulos, M. 2020. Using serious games for learning sign language combining video, enhanced interactivity and VR technology. Special Issue of Journal of Universal Computer Science (J.UCS) on Exploring Immersive Technologies in Learning. 26 (8), pp. 996-1016.

Doumanis, I. and Economou, D. 2020. Evaluating the impact of multimodal Collaborative Virtual Environments on user’s spatial knowledge and experience of gamified educational tasks. Economou, D. (ed.) 6th International Conference of the Immersive Learning Research Network. OnLine 21 - 25 Jun 2020 IEEE . https://doi.org/10.23919/iLRN47897.2020.9155165

Fry, E., Triantaphillidou, S., Jenkin, R., Jacobson, R.E. and Jarvis, J. 2020. Noise Power Spectrum Scene-Dependency in Simulated Image Capture Systems. Bonnier, Nicolas and Farias, Mylène (ed.) IS&T Electronic Imaging: Image Quality and System Performance XVII. Burlingame, California, USA 26 - 30 Jan 2020 The Society of Imaging Science and Technology. https://doi.org/10.2352/ISSN.2470-1173.2020.9.IQSP-345

Fry, E., Triantaphillidou, S., Jenkin, R., Jacobson, R.E. and Jarvis, J. 2019. Scene-and-Process-Dependent Spatial Image Quality Metrics. Journal of Imaging Science and Technology. 63 (6), pp. 060407-1–060407-13 13. https://doi.org/10.2352/J.ImagingSci.Technol.2019.63.6.060407

Fry, E., Triantaphillidou, S., Jenkin, R., Jarvis, J. and Jacobson, R.E. 2019. Validation of Modulation Transfer Functions and Noise Power Spectra from Natural Scenes. Journal of Imaging Science and Technology. 63 (6), pp. 060406-1–060406-11. https://doi.org/10.2352/J.ImagingSci.Technol.2019.63.6.060406

Doumanis, I. and Economou, D. 2019. Using Cognitive Walkthrough and Hybrid Prototyping to Gather User Requirements in Early Design Virtual Reality Prototypes. Beck, D., Peña-Rios, A., Ogle, T., Economou, D., Mentzelopoulos, M., Morgado, L., Eckhardt, C., Pirker, J., Koitz-Hristov, R., Richter, J., Gütl, C. and Gardner, M. (ed.) 5th International Conference of Immersive Learning Research Network. London 23 - 27 Jun 2019 Springer. https://doi.org/10.1007/978-3-030-23089-0_18

Kiss, T., Deslauriers, J., Gesmier, G., Terstyanszky, G., Pierantoni, G., Abu Oun, O., Taylor, S.J.E., Anagnostou, A. and Kovacs, J. 2019. A Cloud-agnostic Queuing System to Support the Implementation of Deadline-based Application Execution Policies. Future Generation Computer Systems. 101, pp. 99-111. https://doi.org/10.1016/j.future.2019.05.062

Jankovic, U., Mohottige, N., Basu, A. and Budimir, D. 2019. Low-Cost Hybrid Manufactured Waveguide Bandpass Filters with 3D Printed Insert Dielectric. European Microwave Conference (EuMC2019), part of European Microwave Week (EuMW2019). Paris, France 29 Sep - 04 Oct 2019 IEEE .

Triantaphillidou, S., Jarvis, J., Psarrou, A. and Gupta, G. 2019. Contrast sensitivity in images of natural scenes. Signal Processing: Image Communication . 75, pp. 64-75. https://doi.org/10.1016/j.image.2019.03.002

Mesgarpour, M., Chaussalet, T.J. and Chahed, S. 2019. Temporal Comorbidity-Adjusted Risk of Emergency Readmission (T-CARER): A Tool for Comorbidity Risk Assessment. Applied Soft Computing. 79, pp. 163-185. https://doi.org/10.1016/j.asoc.2019.03.015

Doumanis, I. and Economou, D. 2019. Affective Communication between ECAs and users in Collaborative Virtual Environments: The REVERIE European Parliament use case. Multimodal Technologies and Interaction. 3 (1) 7. https://doi.org/10.3390/mti3010007

Doumanis, I., Economou, D., Sim, G.R. and Porter, S. 2019. The impact of multimodal Collaborative Virtual Environments on learning: A gamified online debate. Computers & Education. 130, pp. 121-138. https://doi.org/10.1016/j.compedu.2018.09.017

Kiss, T., Kacsuk, P., Kovacs, J., Rakoczi, B., Hajnal, A., Farkas, A., Gesmier, G. and Terstyanszky, G. 2019. MiCADO -Microservice-based Cloud Application-level Dynamic Orchestrator. Future Generation Computer Systems. 94, pp. 937-946. https://doi.org/10.1016/j.future.2017.09.050

Hajnal, A., Kecskemeti, G., Marosi, A.C., Kovacs, J., Kacsuk, P. and Lovas, R. 2018. ENTICE VM Image Analysis and Optimised Fragmentation. Journal of Grid Computing. 16, pp. 247-263. https://doi.org/10.1007/s10723-018-9430-x

Alshejari, A. 2018. Neuro-Fuzzy Based Intelligent Approaches to Nonlinear System Identification and Forecasting. PhD thesis University of Westminster Computer Science https://doi.org/10.34737/q5w11

Dalton, S. 2018. Modelling the Perinatal Network System. PhD thesis University of Westminster Computer Science https://doi.org/10.34737/q559v

Abu Oun, O. and Kiss, T. 2018. Job-queuing and Auto-scaling in Container-based Cloud Environments. Gesing, S. and Atkinson, M. (ed.) 10th International Workshop on Science Gateways, IWSG 2018. Edinburgh UK 13 - 15 Jun 2018 CEUR Workshop Proceedings.

Kiss, T., Terstyanszky, G., Abu Oun, O., Deslauriers, J., Gesmier, G., Pierantoni, G., Kovacs, J., Kacsuk, P., Nagy, E and Farkas, A 2018. Automated Scalability of Cloud Services and Jobs. Gesing, S. and Atkinson, M. (ed.) 10th International Workshop on Science Gateways, IWSG 2018. Edinburgh UK 13 - 15 Jun 2018

Movahdisavehmotlagh, A. 2018. Optimised meta-clustering approach for clustering Time Series Matrices. MPhil thesis University of Westminster Computer Science

Bolotov, A., Pierantoni, G., Wisudha, A., Abduraimova, Z. and Chan You Fee, D. 2018. Enabled: Educational Network Amplifying Learning Experience (EnAbled).

El-Abbasy, K., Angelopoulou, A. and Towell, A. 2018. Measuring the Engagement of the Learner in a Controlled Environment Using Three Different Biosensors. 10th International Conference on Computer Supported Education. Madeira, Portugal 15 - 17 Mar 2018 SCITEPRESS. https://doi.org/10.5220/0006788202780284

Jankovic, U., Mohottige, N., Glubokov, O. and Budimir, D. 2017. Hybrid Manufactured Waveguide Resonators and Filters for mm-Wave Applications. 2017 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications. Pavia, Italy 22 - 24 Sep 2017 IEEE . https://doi.org/10.1109/IMWS-AMP.2017.8247360

Mesgarpour, M. 2017. Predictive Risk Modelling of Hospital Emergency Readmission, and Temporal Comorbidity Index Modelling Using Machine Learning Methods. PhD thesis University of Westminster Computer Science https://doi.org/10.34737/q3031

Chaussalet, T.J., Mesgarpour, M., Worrall, P. and Chahed, S. 2017. Emergency Readmission for Integrated Care (ERIC) Model: Using an Automated Feature Generation & a Multi-Task Learner. Operational Research Applied to Health Services 2017. Bath, UK 24 - 28 Jul 2017

Almarri, H. 2017. Semantic Selection of Internet Sources through SWRL Enabled OWL Ontologies. PhD thesis University of Westminster Computer Science https://doi.org/10.34737/q1499

Mesgarpour, M., Chaussalet, T.J. and Chahed, S. 2017. Ensemble Risk Model of Emergency Admissions (ERMER). International Journal of Medical Informatics. 103, pp. 65-77. https://doi.org/10.1016/j.ijmedinf.2017.04.010

Michalas, A. and Weingarten, N. 2017. HealthShare: Using Attribute-Based Encryption for Secure Data Sharing Between Multiple Clouds. Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems (CBMS’17). Thessaloniki, Greece 22 - 24 Jun 2017 IEEE . https://doi.org/10.1109/CBMS.017.30

Alshejari, A. and Kodogiannis, V. 2017. Day ahead hourly Price Forecast in ISO New England Market using Neuro-Fuzzy Systems. Intelligent Systems Conference 2017. London, UK 07 - 09 Sep 2017 IEEE . https://doi.org/10.1109/IntelliSys.2017.8324303

Alshejari, A. and Kodogiannis, Vassilis 2017. Electricity Price Forecasting using Asymmetric Fuzzy Neural Network Systems. 2017 Int. Conference on Fuzzy Systems (FUZZ-IEEE 2017). Naples, Italy 09 - 12 Jul 2017 IEEE . https://doi.org/10.1109/FUZZ-IEEE.2017.8015436

Alshejari, A. and Kodogiannis, V. 2017. An Intelligent Decision Support System for the Detection of Meat Spoilage using Multispectral Images. Neural Computing and Applications. 28 (12), pp. 3903-3920. https://doi.org/10.1007/s00521-016-2296-6