Computer Science and Engineering

Van Zwanenberg, O., Triantaphillidou, S., Jenkin, R. and Psarrou, A. 2021. Estimation of ISO12233 Edge Spatial Frequency Response from Natural Scene Derived Step-Edge Data. Journal of Imaging Science and Technology.

Ullah, A., Dagdeviren, H., Arjun, R., Deslauriers, J., Kiss, T. and Bowden, J 2021. MiCADO-Edge: Towards an Application-level Orchestrator for the Cloud-to-Edge Computing Continuum. Journal of Grid Computing.

Antoniou, Panagiotis E., Economou, Daphne, Athanasiou, Alkinoos and Tsoulfas, George 2021. Editorial: Immersive Media in Connected Health. Frontiers in Digital Health. 3 697336. https://doi.org/10.3389/fdgth.2021.697336

Al-shaikhli, D. 2021. LMS DESIGN INTERVENTIONS FORENHANCING THE INTENTION TO CONTINUE USE. PhD thesis University of Westminster Computer Science and Engineering

Jenkin Winston, J., Hemmanth, J., Angelopoulou, A. and Kapetanios, E. 2021. Hybrid deep convolutional neural models for iris image recognition. Multimedia Tools and Applications. Advanced online publication. https://doi.org/10.1007/s11042-021-11482-y

Getov, Vladimir 2021. Insights Into the Origins of the IEEE Computer Society and the Invention of Electronic Digital Computing. IEEE Computer. 54 (8), pp. 13-18. https://doi.org/10.1109/MC.2021.3084067

Salem, H., Soria, D., Lund, J. and Awwad, A. 2021. A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology. BMC Medical Informatics and Decision Making. 21 (1) 223. https://doi.org/10.1186/s12911-021-01585-9

Darawsheh, H. 2021. Novel Digital Alias-Free Signal Processing Approaches to FIR Filtering Estimation. PhD thesis University of Westminster Computer Science and Engineering

Van Zwanenberg, O., Triantaphillidou, S., Jenkin, R. and Psarrou, A. 2021. Natural Scene Derived Camera Edge Spatial Frequency Response for Autonomous Vision Systems. IS&T/IoP London Imaging Meeting 2021. London 20 - 22 Sep 2021 The Society of Imaging Science and Technology. https://doi.org/10.2352/issn.2694-118X.2021.LIM-88

Aldraimli, M., Soria, D., Grishchuck, D., Ingram, S., Lyon, R., Mistry, A., Oliveira, J., Samuel, R., Shelley, L.E.A., Osman, S., Dwek, M., Azria, D., Chang-Claude, J., Gutiérrez-Enríquez, S., De Santis, M.C., Rosenstein, B.S., De Ruysscher, D., Sperk, E., Symonds, R.P., Stobart, H., Vega, A., Veldeman, L., Webb, A, Christopher, J.T., West, C.M., Rattay, T., REQUITE consortium and Chaussalet, T.J. 2021. A Data Science Approach for Early-Stage Prediction of Patient’s Susceptibility to Acute Side Effects of Advanced Radiotherapy. Computers in Biology and Medicine. 135 104624. https://doi.org/10.1016/j.compbiomed.2021.104624

Villarini, B., Asaturyan, H., Kurugol, S., Afacan, O., Bell, J.D. and Thomas, E.L. 2021. 3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities. O'Conner, L. (ed.) 34th IEEE CBMS International Symposium on Computer-Based Medical Systems. Online Event 07 - 09 Jun 2021 IEEE . https://doi.org/10.1109/CBMS52027.2021.00066

Ogunbiyi, Niyi, Basukoski, Artie and Chaussalet, Thierry 2021. Incorporating spatial context into remaining-time predictive process monitoring. 36th Annual ACM Symposium on Applied Computing. Virtual Event Republic of Korea 22 - 26 Mar 2021 ACM. https://doi.org/10.1145/3412841.3441933

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). IEEE . https://doi.org/10.23919/iLRN52045.2021.9459316

Hollick, M., Acheampong, C., Ahmed, M., Economou, D. and Ferguson, J. 2021. Work-In-Progress Paper: 360-degree immersive storytelling video to create empathetic response. 7th International Conference of the Immersive Learning Research Network (iLRN 2021). IEEE . https://doi.org/10.23919/iLRN52045.2021.9459340

Hossain, M., Economou, D. and Ferguson, J. 2021. Work-In-Progress Paper: WebXR to support student wellbeing and anxiety. 7th International Conference of the Immersive Learning Research Network (iLRN 2021). IEEE . https://doi.org/10.23919/iLRN52045.2021.9459324

Woodley, S., Mould, R., Sahuri Arisoylu, M., Kalampouka, I., Booker, A. and Bell, J.D. 2021. Mitochondrial Function as a Potential Tool for Assessing Function, Quality and Adulteration in Medicinal Herbal Teas. Frontiers in Pharmacology. 12 660938. https://doi.org/10.3389/fphar.2021.660938

Sahuri Arisoylu, M., Mould, R., Shinjyo, N., Bligh, S.W.A., Nunn, A., Guy, G., Thomas, E.L. and Bell, J.D. 2021. Acetate induces growth arrest in colon cancer cells through modulation of mitochondrial function. Frontiers in Nutrition: Nutrition and Metabolism. 8 588466. https://doi.org/10.3389/fnut.2021.588466

Asaturyan, H. 2021. Automatic Pancreas Segmentation and 3D Reconstruction for Morphological Feature Extraction in Medical Image Analysis. PhD thesis University of Westminster Computer Science and Engineering

Ogunbiyi, O., Basukoski, A. and Chaussalet, T.J. 2021. An Exploration of Ethical Decision Making with Intelligence Augmentation. Social Sciences. 10 (2) 57. https://doi.org/10.3390/socsci10020057

Vali, M., Salimifard, K. and Chaussalet, T. 2021. Carbon Footprints in Emergency Departments: A Simulation-Optimization Analysis. in: Masmoudi M., Jarboui B. and Siarry P. (ed.) Operations Research and Simulation in Healthcare Springer, Cham. pp. 193-207

Aldraimli, M., Nazyrova, N., Djumanov, A., Sobirov, I. and Chaussalet, T.J. 2021. A Comparative Machine Learning Modelling Approach for Patients' Mortality Prediction in Hospital Intensive Care Unit . International Symposium on Bioinformatics and Biomedicine. Burgas, Bulgaria 08 - 10 Oct 2020 Springer.

Darawsheh, H. and Tarczynski, A. 2021. Antithetical Stratified Sampling Estimator for Filtering Signals with Discontinuities. Signal Processing. 181 107910. https://doi.org/10.1016/j.sigpro.2020.107910

Calyam, P., Wilkins-Diehr, N., Miller, M., Brookes, E. H., Arora, R., Chourasia, A., Jennewein, D. M., Nandigam, V., LaMar, M. D., Cleveland, S. B., Newman, G., Wang, S., Zaslavsky, I., Cianfrocco, M. A., Ellett, K., Tarboton, D., Jeffery, K. G., Zhao, Z., González-Aranda, J., Perri, M. J., Tucker, G., Candela, L., Kiss, T. and Gesing, S. 2021. Measuring Success for a Future Vision: Defining Impact in Science Gateways/Virtual Research Environments. Concurrency and Computation: Practice and Experience. 33 (19) e6099. https://doi.org/10.1002/cpe.6099

Liang, X., Angelopoulou, A., Kapetanios, E., Woll, B. and Al Batat, R. 2021. A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users. Adrien Bartoli and Andrea Fusiello (ed.) Sign Language Recognition, Translation & Production (SLRTP) Workshop, in conjunction with the ECCV 2020 Conference. Springer. https://doi.org/10.1007/978-3-030-66096-3_20

Bolotov, A., Pierantoni, G., Yerashenia, N., Chan You Fee, D., Wojtunik, D., Ivanauskaite, G., Tait, C., Makadicy, W., Wasowski, T. and Kulczynska, A. 2020. SMARTEST - knowledge and learning repository . University of Westminster.

Arif, S., Coskun, A. and Kale, I. 2020. A Novel Optimization Algorithm for Notch Bandwidth in Lattice Based Adaptive Filter for the Tracking of Interference in GPS. IEEE International Symposium on Circuits and Systems (ISCAS). Online 10 - 21 Oct 2020 IEEE . https://doi.org/10.1109/ISCAS45731.2020.9181117

Ferguson, J., Gonzalez Russi, M., Doumanis, I., Mentzelopoulos, M., Bouki, V. and Ferguson, J. 2020. Using Serious Games for Learning British Sign Language Combining Video, Enhanced Interactivity, and VR Technology. Journal of Universal Computer Science. 26 (8), pp. 996-1016.

Fernández Montenegro, Juan Manuel, Villarini, Barbara, Angelopoulou, Anastassia, Kapetanios, E., Garcia-Rodriguez, J. and Argyriou, Vasileios 2020. A Survey of Alzheimer's Disease Early Diagnosis Methods for Cognitive Assessment. Sensors. 20 (24) 7292. https://doi.org/10.3390/s20247292

Ogunbiyi, O., Basukoski, A. and Chaussalet, T.J. 2020. Investigating the Diffusion of Workload-Induced Stress—A Simulation Approach. Information. 12 (1) 11. https://doi.org/10.3390/info12010011

Bolotov, A. Bolotov, A. (ed.) 2020. Proceedings of the 4th Student-STAFF Research Conference 2020 School of Computer Science and Engineering SSRC2020. University of Westminster.

Fernández Montenegro, Juan Manuel, Villarini, B., Angelopoulou, A., Kapetanios, E., Garcia-Rodriguez, J. and Argyriou, Vasileios 2020. A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment. Sensors. 20 (24) e7292. https://doi.org/10.3390/s20247292

Bakas, A., Dang, H., Michalas, A. and Zalitko, A. 2020. The Cloud we Share: Access Control on Symmetrically Encrypted Data in Untrusted Clouds. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3038838

Tarczynski, A. and Darawsheh, H. 2020. DASP Implementation of Continuous-Time, Finite-Impulse-Response Systems. 28th European Signal Processing Conference EUSIPCO 2020. Amsterdam 18 - 22 Jan 2021 The European Association for Signal Processing (EURASIP). https://doi.org/10.23919/Eusipco47968.2020.9287437

Udoh, E. and Getov, Vladimir 2020. Performance and Energy-Tuning Methodology for Wireless Sensor Networks Using TunableMAC. IEEE Int. Conference on Communications, Computing, Cybersecurity, and Informatics, CCCI 2020. Virtual - online 03 - 05 Nov 2020 IEEE . https://doi.org/10.1109/CCCI49893.2020.9256744

Ogunbiyi, N., Basukoski, A. and Chaussalet, T.J. 2020. Investigating Social Contextual Factors in Remaining-Time Predictive Process Monitoring—A Survival Analysis Approach. Algorithms. 13 (11), p. e267. https://doi.org/10.3390/a13110267

Deslauriers, J., Kiss, T., Ariyattu, Resmi C., Dang, H., Ullah, A., Bowden, James, Krefting, D., Pierantoni, G. and Terstyanszky, G. 2020. Cloud apps to‐go: Cloud portability with TOSCA and MiCADO. Concurrency and Computation: Practice and Experience. 33 (19). https://doi.org/10.1002/cpe.6093

Ogunbiyi, O., Basukoski, A. and Chaussalet, T.J. 2020. Comparative analysis of clustering-based remaining-time predictive process monitoring approaches. International Journal of Business Process Integration and Management.

Arif, S., Coskun, A. and Kale, I. 2020. Tracking and Mitigation of Chirp-Type Interference in GPS Receivers Using Adaptive Notch Filters. 2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS). Springfield, MA, USA 09 - 12 Aug 2020 IEEE . https://doi.org/10.1109/MWSCAS48704.2020.9184659

Sinada, F., Reni, S. and Kale, I. 2020. Image Analysis and Feature Extraction of Kato-Katz Images for Neglected Tropical Diseases Diagnosis. 2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS). Springfield, MA, USA 09 - 12 Aug 2020 IEEE . https://doi.org/10.1109/MWSCAS48704.2020.9184535

Maheshwari, S., Bartlett, V. and Kale, I. 2020. A VHDL-based Modelling Approach for Rapid Functional Simulation and Verification of Adiabatic Circuits. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40 (8), pp. 1721-1725. https://doi.org/10.1109/TCAD.2020.3022334