Computer Science and Informatics

Type	Division
School	Engineering

Latest research outputs

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Smart Energy Management System for Minimizing Electricity Cost and Peak to Average Ratio in Residential Areas with Hybrid Genetic Flower Pollination Algorithm

Mateen, A, Wasim, M., Ahad, A., Ashfaq, T., Iqbal, M. and Ali, A (2023). Smart Energy Management System for Minimizing Electricity Cost and Peak to Average Ratio in Residential Areas with Hybrid Genetic Flower Pollination Algorithm. Alexandria Engineering Journal. 77, pp. 593-611. https://doi.org/10.1016/j.aej.2023.06.053

Journal article

A digital life-cycle management framework for sustainable smart manufacturing in energy intensive industries

Chinnathai, M. and Alkan, B. (2023). A digital life-cycle management framework for sustainable smart manufacturing in energy intensive industries. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2023.138259

Journal article

A New Forgery Image Dataset and its Subjective Evaluation

Hossain, F., Dagiuklas, T and Skodras, A. (2023). A New Forgery Image Dataset and its Subjective Evaluation. 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET). London 19 - 21 May 2023 IEEE. https://doi.org/10.1109/globconet56651.2023.10150020

Conference paper

Federated Learning: Crop Classification in a Smart Farm Decentralised Network

Idoje, G., Dagiuklas, A. and Iqbal, M. (2023). Federated Learning: Crop Classification in a Smart Farm Decentralised Network. Smart Agricultural Technology. 5, p. 100277. https://doi.org/10.1016/j.atech.2023.100277

Journal article

A Novel Energy-Efficient Reservation System for Edge Computing in 6G Vehicular Ad Hoc Network

Javed, F., Khan, Z.A., Rizwan, S., Shahzadi, S., Chaudhry, N.R. and Iqbal, M. (2023). A Novel Energy-Efficient Reservation System for Edge Computing in 6G Vehicular Ad Hoc Network. Sensors. 23 (13), p. 5817. https://doi.org/10.3390/s23135817

Journal article

Multi-directional gated recurrent unit and convolutional neural network for load and energy forecasting: A novel hybridization

Abid, F., Alam, M., Alamri, F.S. and Siddique, I. (2023). Multi-directional gated recurrent unit and convolutional neural network for load and energy forecasting: A novel hybridization. AIMS Mathematics. 8 (9), pp. 19993-20017. https://doi.org/10.3934/math.20231019

Journal article

Cytoarchitectureal changes in hippocampal subregions of the NZB/W F1 mouse model of lupus

Graïc, J-M., Finos, L., Cozzi, B., Luisetto, R., Gerussi, T, Doria, A., Vadori, V., Grisan, E., Corain, L. and Peruffo, A. (2023). Cytoarchitectureal changes in hippocampal subregions of the NZB/W F1 mouse model of lupus. Brain, Behavior and Immunity. 32 (October), p. 100662. https://doi.org/10.1016/j.bbih.2023.100662

Journal article

A Solution Architecture for Energy Monitoring and Visualisation in Smart Factories with Robotic Automation

Webb, L., Tokhi, M. and Alkan, B. (2023). A Solution Architecture for Energy Monitoring and Visualisation in Smart Factories with Robotic Automation. 26th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines CLAWAR 2023. Florianópolis, Brazil 02 - 04 Oct 2023 CLAWAR Association.

Conference paper

Positional Health Assessment of Collaborative Robots based on Long Short-Term Memory Auto-Encoder (LSTMAE) Network

Hasan, M., Webb, L., Hossain, M., Tokhi, M. and Alkan, B. (2023). Positional Health Assessment of Collaborative Robots based on Long Short-Term Memory Auto-Encoder (LSTMAE) Network. 26th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines CLAWAR 2023. Florianópolis, Brazil 02 - 04 Oct 2023 CLAWAR Association.

Conference paper

A Double-Layer Blockchain Based Trust Management Model for Secure Internet of Vehicles

Ruan, W., Liu, J., Chen, Y., Islam, S.M. N. and Alam, M. (2023). A Double-Layer Blockchain Based Trust Management Model for Secure Internet of Vehicles. Sensors. 23 (10), p. 4699. https://doi.org/10.3390/s23104699

Journal article

Realising URRLC for Smart Energy Network Services

Dagiuklas, A. and Alefragkis, P. (2023). Realising URRLC for Smart Energy Network Services. Symposium Communications for Energy Systems. Viena, Austria 15 - 17 Mar 2023

Conference presentation

Artificial Intelligence enabled histological prediction of remission or activity and clinical outcomes in ulcerative colitis

Iacucci, M., Parigi, T.L., del Amor, R., Meseguer, P., Mandelli, G., Bozzola, A., Bazarova, A., Bhandari, P., Bisschops, R., Danese, S., De Hertogh, G., Ferraz, J.G., Goetz, M., Grisan, E., Gui, X., Hayee, B., Kiesslich, R., Lazarev, M., Panaccione, R., Parra-Blanco, A., Pastorelli, L., Rath, T., Royset, E.S., Tontini, G.E., Vath, M., Zardo, D., Ghosh, S., Naranjo, V. and Villanacci, V. (2023). Artificial Intelligence enabled histological prediction of remission or activity and clinical outcomes in ulcerative colitis. Gastroenterology. https://doi.org/10.1053/j.gastro.2023.02.031

Journal article

Data Driven Machine Learning Model for Condition Monitoring and Anomaly Detection in Power Grids

Saleem, K., Alkan, B. and Dudley-Mcevoy, S. (2023). Data Driven Machine Learning Model for Condition Monitoring and Anomaly Detection in Power Grids. 2023 IEEE Power & Energy Society General Meeting. Orlando, Florida, US 10 - 16 Jul 2023 Institute of Electrical and Electronics Engineers (IEEE).

Conference paper

Skin Capacitive Image Stitching and Occlusion Measurements

Ciortea, L. I., Chen, D. and Xiao, P. (2023). Skin Capacitive Image Stitching and Occlusion Measurements. Cosmetics. 10 (1), p. 32. https://doi.org/10.3390/cosmetics10010032

Journal article

Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surface

Dagiuklas, A. (2023). Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surface. IEEE WCNC. Scotland 26 - 29 Mar 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/wcnc55385.2023.10118891

Conference presentation

An Intelligent model for supporting Edge Migration for Virtual Function Chains in Next Generation Internet of Things

Tsakanikas, V., Dagiuklas, A., Iqbal, M., Wang, X. and Mumtaz, S. (2023). An Intelligent model for supporting Edge Migration for Virtual Function Chains in Next Generation Internet of Things. Scientific Reports. 13 (1063). https://doi.org/10.1038/s41598-023-27674-5

Journal article

A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments

Thomas, N., Frings, D., Flood, C., Grisan, E., Wood, K., Daly, N. and Sharma, S. (2022). A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments. London South Bank University.

Project report

A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 1 Evaluation Report

Project report

The pandemic brain: Neuroinflammation in non-infected individuals during the COVID-19 pandemic

Brusaferri, L., Alshelh, Z., Martins, D., Kim, M., Weerasekera, A., Housman, H., Morrissey, E.J., Knight, P.C., Castro-Blanco, K.A., Albrecht, D.S., Tseng, C-E., Zürcher, N.R., Ratai, E-M., Akeju, O., Makary, M.M., Catana, C., Mercaldo, N.D., Hadjikhani, N., Veronese, M., Turkheimer, F., Rosen, B.R., Hooker, J.M. and Loggia, M.L. (2022). The pandemic brain: Neuroinflammation in non-infected individuals during the COVID-19 pandemic. Brain, behavior, and immunity. 102, pp. 89-87. https://doi.org/10.1016/j.bbi.2022.02.018

Journal article

Optical coherence elastography based on inverse compositional Gauss-Newton digital volume correlation with second-order shape function

Wu, H., Wang, J., Catano, J.A.A., Sun, C. and Li, Z. (2022). Optical coherence elastography based on inverse compositional Gauss-Newton digital volume correlation with second-order shape function. Optics Express. 30 (23), pp. 41954-41968. https://doi.org/10.1364/OE.473898

Journal article

Atomistic Investigation of Titanium Carbide Ti8C5 under Impact Loading

Xia, K., Zhan, H., Shao, J., Wang, J., Zheng, Z., Zhang, X. and Li, Z. (2022). Atomistic Investigation of Titanium Carbide Ti8C5 under Impact Loading. Metals. 12 (11), p. 1989. https://doi.org/10.3390/met12111989

Journal article

The Need to Shift from Morphological to Structural Assessment for Carotid Plaque Vulnerability

Xiang, Y., Huang, X., Mendieta, J.B., Wang, J., Paritala, P.K., Lloyd, T. and Li, Z. (2022). The Need to Shift from Morphological to Structural Assessment for Carotid Plaque Vulnerability. Biomedicines. 10 (12), p. 3038. https://doi.org/10.3390/biomedicines10123038

Journal article

Imaging-Based Patient-Specific Biomechanical Evaluation of Atherosclerosis and Aneurysm: A Comparison Between Structural-Only, Fluid-Only and Fluid–Structure Interaction Analysis

Mendieta, J.B., Paritala, P.K., Wang, J. and Li, Z. (2022). Imaging-Based Patient-Specific Biomechanical Evaluation of Atherosclerosis and Aneurysm: A Comparison Between Structural-Only, Fluid-Only and Fluid–Structure Interaction Analysis. International Conference on Medical Image Computing and Computer-Assisted Intervention. Singapore 18 - 22 Sep 2022 Springer. https://doi.org/10.1007/978-3-031-09327-2_4

Conference paper

An Exploratory Framework for Intelligent Labelling of Fault Datasets

Rizwan, M., Habib, Z., Sarwar, S., Iqbal, M., Safyan, M. and Almakhles, D. (2022). An Exploratory Framework for Intelligent Labelling of Fault Datasets. International Conference On Human-Centered Cognitive Systems (HCCS 2022). Shangai, China 17 Dec 2022 - 18 Mar 2023 IEEE. https://doi.org/10.1109/hccs55241.2022.10090366

Conference paper

Skillbot: A Conversational Chatbot based Data Mining and Sentiment Analysis

Islam, B., Iqbal, M. and Ubakanma, G. (2022). Skillbot: A Conversational Chatbot based Data Mining and Sentiment Analysis. International Conference On Human-Centered Cognitive Systems (HCCS 2022). Shangai, China 17 Dec 2022 - 18 Mar 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HCCS55241.2022.10090342

Conference paper

SkillBot: Towards Data Augmentation using Transformer language model and linguistic evaluation

Khatri, S., Iqbal, M. and Ubakanma, G. (2022). SkillBot: Towards Data Augmentation using Transformer language model and linguistic evaluation. International Conference On Human-Centered Cognitive Systems (HCCS 2022). Shangai, China 17 Dec 2022 - 18 Mar 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HCCS55241.2022.10090376

Conference paper

The Metaverse evolution: Toward Future Digital Twin Campuses

Antonijevic, P., Iqbal, M., Ubakanma, G. and Dagiuklas, A. (2022). The Metaverse evolution: Toward Future Digital Twin Campuses. International Conference On Human-Centered Cognitive Systems (HCCS 2022). Shangai, China 17 Dec 2022 - 18 Mar 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HCCS55241.2022.10090250

Conference paper

Comparative Analysis of Data using Machine Learning Algorithms: A hydroponics system use case

Idoje, G., Mouroutoglou, C., Dagiuklas, A., Kotsiras, A., Muddesar, I, and Alefragkis, P. (2022). Comparative Analysis of Data using Machine Learning Algorithms: A hydroponics system use case . Smart Agricultural Technology. 4, p. 100207. https://doi.org/10.1016/j.atech.2023.100207

Journal article

Optimisation Method for Training Deep Neural Networks in Classification of Non- functional Requirements

Sabir, M. (2022). Optimisation Method for Training Deep Neural Networks in Classification of Non- functional Requirements. PhD Thesis London South Bank University School of Engineering https://doi.org/10.18744/lsbu.931wy

PhD Thesis

Estimation of Cortical Bone Strength Using CNN-based Regression Model

Sultan, Hossam H., Grisan, E., Peralta, L. and Harput, S. (2022). Estimation of Cortical Bone Strength Using CNN-based Regression Model. 2022 IEEE International Ultrasonics Symposium (IUS). Venice, Italy 10 - 13 Oct 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ius54386.2022.9957568

Conference paper

Motion Correction Using Deep Learning Neural Networks - Effects of Data Representation

Zaydullin, R., Bharath, A.A., Grisan, E., Christensen-Jeffries, K., Bai, W. and Tang, M-X. (2022). Motion Correction Using Deep Learning Neural Networks - Effects of Data Representation. 2022 IEEE International Ultrasonics Symposium (IUS). Venice, Italy 10 - 13 Oct 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ius54386.2022.9958903

Conference paper

Enabling Artificial Intelligence Analytics on The Edge

Tsakanikas, V. (2022). Enabling Artificial Intelligence Analytics on The Edge . PhD Thesis https://doi.org/10.18744/lsbu.92w1z

PhD Thesis

On the benchmarking of ResNet forgery image model using different datasets

Hossain, F. and Dagiuklas, A. (2022). On the benchmarking of ResNet forgery image model using different datasets. Human-Centered Cognitive Systems. Shangai, China 18 Nov - 17 Dec 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HCCS55241.2022.10090275

Conference paper

Computer-Aided Imaging Analysis of Probe-Based Confocal Laser Endomicroscopy With Molecular Labeling and Gene Expression Identifies Markers of Response to Biological Therapy in IBD Patients: The Endo-Omics Study

Iacucci, M., Jeffery, L., Acharjee, A., Grisan, E., Buda, A., Nardone, O.M., Smith, S.C.L., Labarile, N., Zardo, D., Ungar, B., Hunter, S., Mao, R., Cannatelli,R., Shivaji, U.N., Parigi, T.L., Reynolds, G.M., Gkoutos, G.V. and Ghosh, S. (2022). Computer-Aided Imaging Analysis of Probe-Based Confocal Laser Endomicroscopy With Molecular Labeling and Gene Expression Identifies Markers of Response to Biological Therapy in IBD Patients: The Endo-Omics Study. Inflammatory Bowel Diseases. 2022 (izac233), pp. 1-12. https://doi.org/0.1093/ibd/izac233

Journal article

Methods to Improve the Prediction Accuracy and Performance of Ensemble Models

Adegoke, V. (2022). Methods to Improve the Prediction Accuracy and Performance of Ensemble Models. MPhil Thesis London South Bank University School of Engineering https://doi.org/10.18744/lsbu.92856

MPhil Thesis

A Cognitive Routing framework for Self-Organised Knowledge Defined Networks

Ghosh, S. (2022). A Cognitive Routing framework for Self-Organised Knowledge Defined Networks. PhD Thesis London South Bank University School of Engineering https://doi.org/10.18744/lsbu.92851

PhD Thesis

Effective and Trustworthy Dimensionality Reduction Approaches for High Dimensional Data Understanding and Visualization

Hajderanj, L. (2022). Effective and Trustworthy Dimensionality Reduction Approaches for High Dimensional Data Understanding and Visualization. PhD Thesis London South Bank University School of Engineering https://doi.org/10.18744/lsbu.92850

PhD Thesis

Viseme-based Lip-Reading using Deep Learning

Fenghour, S. (2022). Viseme-based Lip-Reading using Deep Learning. PhD Thesis London South Bank University School of Engineering https://doi.org/10.18744/lsbu.9280w

PhD Thesis

A Generic Framework for Deploying Video Analytic Services on the Edge

Tsakanikas, V. and Dagiuklas, A. (2022). A Generic Framework for Deploying Video Analytic Services on the Edge. IEEE Transactions on Cloud Computing. https://doi.org/10.1109/TCC.2022.3218813

Journal article

Legal Education Meets Computer Science: An Interdisciplinary Approach to Teaching LawTech

Russell, A., Otoyo, L., Silver, K. and Unger, A. (2022). Legal Education Meets Computer Science: An Interdisciplinary Approach to Teaching LawTech. in: Thanaraj, A. & Geldhill, K. (ed.) Teaching Legal Education in the Digital Age - Pedagogical Practices to Digitally Empower Law Graduates Routledge. pp. chapter 11

Book chapter

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