Dr Saeed Sharif

NameDr Saeed Sharif
Job titleAssociate Professor
Email addresssaeed3@uel.ac.uk
Research instituteArchitecture, Computing & Engineering

Research outputs

Machine Learning-Based Techniques for Assessing Critical Factors for European Tick Abundance

Zorto, A., Lansdell, S., Seto, M., Gobena, E., Sharif, S. and Cutler, S. 2024. Machine Learning-Based Techniques for Assessing Critical Factors for European Tick Abundance. ICCSIT 2024: 17th International Conference on Computer Science and Information Technology. Dubai, UAE 23 - 25 Oct 2024

Home-based transcranial direct current stimulation in bipolar depression: an open-label treatment study of clinical outcomes, acceptability and adverse events

Ghazi-Noori, A., Woodham, R., Rezaei, H., Sharif, S., Bramon, E., Ritter, P., Bauer, M., Young, A. H. and Fu, C. H. Y. 2024. Home-based transcranial direct current stimulation in bipolar depression: an open-label treatment study of clinical outcomes, acceptability and adverse events. International Journal of Bipolar Disorders. 12 (Art. 30). https://doi.org/10.1186/s40345-024-00352-9

A Comparative Study For Predicting House Price Based on Machine Learning

Eze, E., Sujith, S., Eze, J. and Sharif, S. 2023. A Comparative Study For Predicting House Price Based on Machine Learning. ICDABI 2023: 4th International Conference on Data Analytics for Business and Industry. University of Bahrain, Kingdom of Bahrain 25 - 26 Oct 2024 IEEE. https://doi.org/10.1109/ICDABI60145.2023.10629399

Adopting Security Practices in Software Development Process: Security Testing Framework for Sustainable Smart Cities

Mothanna, Y., ElMedany, W., Hammad, M., Ksantini, R. and Sharif, M. S. 2024. Adopting Security Practices in Software Development Process: Security Testing Framework for Sustainable Smart Cities. Computers & Security. 144 (Art. 103985). https://doi.org/10.1016/j.cose.2024.103985

Analysing an Imbalanced Stroke Prediction Dataset Using Machine Learning Techniques

Elangovan, V. S., Devarajan, R., Khalaf, O. I., Sharif, M. S. and Elmedany, W. 2024. Analysing an Imbalanced Stroke Prediction Dataset Using Machine Learning Techniques. Karbala International Journal of Modern Science. 10 (2), p. 8. https://doi.org/10.33640/2405-609X.3355

Using Machine Learning for Security Issues in Cognitive IoT

Alzuabi, W., Elmedany, W. and Sharif, S. 2023. Using Machine Learning for Security Issues in Cognitive IoT. SCS-2023: 7th IET Smart Cities Symposium. Manama, Bahrain 03 - 05 Dec 2023 Institution of Engineering and Technology. https://doi.org/10.1049/icp.2024.0980

Elevating metaverse virtual reality experiences through network-integrated neuro-fuzzy emotion recognition and adaptive content generation algorithms

Ibrahim Khalaf, O., Srinivasan, D., Algburi, S., Vellaichamy, J., Selvaraj, D., Sharif, M. S. and Elmedany, W. 2024. Elevating metaverse virtual reality experiences through network-integrated neuro-fuzzy emotion recognition and adaptive content generation algorithms. Engineering Reports. In Press. https://doi.org/10.1002/eng2.12894

Federated learning with hybrid differential privacy for secure and reliable cross-IoT platform knowledge sharing

Khalaf, O. I., Ashokkumar, S. R., Algburi, S., Anupallavi, S., Selvaraj, D., Sharif, M. S. and Elmedany, W. 2024. Federated learning with hybrid differential privacy for secure and reliable cross-IoT platform knowledge sharing. Security and Privacy. 7 (3), p. e374. https://doi.org/10.1002/spy2.374

The Effectiveness of DKIM and SPF in Strengthening Email Security

Sami, M., Elmedany, W. and Sharif, S. 2023. The Effectiveness of DKIM and SPF in Strengthening Email Security. FiCloud 2023: The 10th International Conference on Future Internet of Things and Cloud. Marrkech, Morocco 14 - 16 Aug 2023 IEEE. https://doi.org/10.1109/FiCloud58648.2023.00068

Employing Machine Learning Algorithms to Detect Stress with a Specific Emphasis on Commuting Methods

Sharif, S., Theeng Tamang, M., Fu, C. and Elmedany, W. 2023. Employing Machine Learning Algorithms to Detect Stress with a Specific Emphasis on Commuting Methods. FiCloud 2023: The 10th International Conference on Future Internet of Things and Cloud. Marrkech, Morocco 14 - 16 Aug 2023 IEEE. https://doi.org/10.1109/FiCloud58648.2023.00067

Towards Tactile Sensing of the Epidural Needle into the Spinal Column

Vakulabharanam, S. S. N., Sharif, S. and Morad, S. 2023. Towards Tactile Sensing of the Epidural Needle into the Spinal Column. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391801

Machine Learning-Based Prediction of Compressive Performance in Circular Concrete Columns Confined with FRP

Dhakal, N., Abbas, A., Ahmed, H. and Sharif, S. 2023. Machine Learning-Based Prediction of Compressive Performance in Circular Concrete Columns Confined with FRP. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391832

Non-Invasive Ventilation Sensor Mask (NIVSM): Preliminary Design and Testing

Lebetiou, H., Morad, S., Sharif, S. and Nichols, P. 2023. Non-Invasive Ventilation Sensor Mask (NIVSM): Preliminary Design and Testing. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391452

Neoj4 and SARMIX Model for Optimizing Product Placement and Predicting the Shortest Shopping Path

Sudharma, P., Hafidh, R., Sharif, S. and Elmedany, W. 2023. Neoj4 and SARMIX Model for Optimizing Product Placement and Predicting the Shortest Shopping Path. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391451

Analysis of Deep Neural Networks for Military Target Classification using Synthetic Aperture Radar Images

Jacob, S., Wall, J. and Sharif, S. 2023. Analysis of Deep Neural Networks for Military Target Classification using Synthetic Aperture Radar Images. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391600

Road Deterioration detection A Machine Learning-Based System for Automated Pavement Crack Identification and Analysis

Ganeshan, D., Sharif, S., Apeagyei, A. and Elmedany, W. 2023. Road Deterioration detection A Machine Learning-Based System for Automated Pavement Crack Identification and Analysis. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391802

Artificial Intelligence in Concrete Mix Design: Advances, Applications and Challenges

Barbhuiya, S. and Sharif, S. 2023. Artificial Intelligence in Concrete Mix Design: Advances, Applications and Challenges. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391485

Customer Churn Prediction Model Using Artificial Neural Network: A Case Study in Banking

Baby, B., Dawod, Z., Sharif, S. and Elmedany, W. 2023. Customer Churn Prediction Model Using Artificial Neural Network: A Case Study in Banking. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391374

Scalable Machine Learning Model for Highway CCTV Feed Real-Time Car Accident and Damage Detection

Sharif, S., Zorto, A., Brown, V. K. and Elmedany, W. 2023. Scalable Machine Learning Model for Highway CCTV Feed Real-Time Car Accident and Damage Detection. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391543

Artificial Intelligence Applications in Road Traffic Forecasting: A Review of Current Research

Khairi, S., Sharif, S., Apeagyei, A. and Abbas, A. 2023. Artificial Intelligence Applications in Road Traffic Forecasting: A Review of Current Research. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391677

Utilising Convolutional Neural Networks for Pavement Distress Classification and Detection

Sharif, S., Emiola, D. I., Zoto, A., Apeagyei, A. and Elmedany, W. 2023. Utilising Convolutional Neural Networks for Pavement Distress Classification and Detection. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391401

Real-Time Customer Emotion Analysis in E-Commerce based on Social Media Data: Insights and Opportunities

Suresh, M. M., Chooramun, N. and Sharif, S. 2023. Real-Time Customer Emotion Analysis in E-Commerce based on Social Media Data: Insights and Opportunities. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391602

Implementing a Chatbot Music Recommender System Based on User Emotion

Mathew, N,, Chooramun, N. and Sharif, S. 2023. Implementing a Chatbot Music Recommender System Based on User Emotion. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391771

Predicting Shear Capacity of RC Beams Strengthened with NSM FRP Using Neural Networks

Guler, O., Ahmed, H., Abbas, A. and Sharif, S. 2023. Predicting Shear Capacity of RC Beams Strengthened with NSM FRP Using Neural Networks. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391555

Performance Evaluation of Ensemble Deep Learning Algorithms for Prediction of Pandemic Disease

Sharif, S., Zorto, A. and Aluko, A. 2023. Performance Evaluation of Ensemble Deep Learning Algorithms for Prediction of Pandemic Disease. ICICIS 2023:11th IEEE International Conference on Intelligent Computing and Information Systems. Cairo, Egypt 21 - 23 Nov 2023 IEEE. https://doi.org/10.1109/ICICIS58388.2023.10391139

Blockchain-based Decentralised Application (DApp) towards Achieving a Hunger-Free World

Auwal, B., Duta, L., Sharif, S., Abou-Grad, H. and Ali, A 2024. Blockchain-based Decentralised Application (DApp) towards Achieving a Hunger-Free World. ICSDI 2024: 2nd International Conference on Sustainability: Development and Innovation. Riyadh, KSA 18 - 22 Feb 2024 Springer.

Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis

Alfakeeh, A., Sharif, S., Zorto, A. and Pillonetto, T. 2023. Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis. Applied Computational Intelligence and Soft Computing. 2023 (Art. 8819052). https://doi.org/10.1155/2023/8819052

Solution of IoT Security and Privacy Challenges A Systematic Literature Review

Alsafran, J., Elmedany, W. and Sharif, S. 2024. Solution of IoT Security and Privacy Challenges A Systematic Literature Review. AICTC 2024: Arab ICT Conference . Kingdom of Bahrain 27 - 28 Feb 2024 IEEE.

Machine Failure Prediction using Joint Reserve Intelligence with Feature Selection Technique

Shaheen, A., Hammad, M., Elmedany, W., Ksantini, R. and Sharif, S. 2023. Machine Failure Prediction using Joint Reserve Intelligence with Feature Selection Technique. International Journal of Computers and Applications. 45 (10), pp. 638-646. https://doi.org/10.1080/1206212X.2023.2260619

Securing IoT Devices Against Emerging Security Threats: Challenges and Mitigation Techniques

Al Kabir, M. A., Elmedany, W. and Sharif, S. 2023. Securing IoT Devices Against Emerging Security Threats: Challenges and Mitigation Techniques. Journal of Cyber Security Technology. 7 (4), pp. 199-223.

An Extended Reality Solution for Mitigating the Video Fatigue of Online Meetings

Glackin, C., Cannings, N., Poobalasingam, V., Wall, J., Sharif, S. and Moniri, M. 2023. An Extended Reality Solution for Mitigating the Video Fatigue of Online Meetings. in: Jung, T. and tom Dieck, M. C. (ed.) XR-Metaverse Cases: Business Application of AR, VR, XR and Metaverse Springer. pp. 45-54

An Innovative Approach Based on Machine Learning to Evaluate the Risk Factors Importance in Diagnosing Keratoconus

Zorto, A. D., Sharif, S., Wall, J., Brahma, A., Alzahrani, A. I. and Alalwan, N. 2023. An Innovative Approach Based on Machine Learning to Evaluate the Risk Factors Importance in Diagnosing Keratoconus. Informatics in Medicine Unlocked. 38, p. 101208. https://doi.org/10.1016/j.imu.2023.101208

Blockchain Vulnerabilities and Recent Security Challenges: A Review Paper

AlFaw, A., Elmedany, W. and Sharif, M. S. 2022. Blockchain Vulnerabilities and Recent Security Challenges: A Review Paper. ICDABI 2022: 3rd International Conference on Data Analytics for Business and Industry. Sakhir, Bahrain 25 - 26 Oct 2022 IEEE. https://doi.org/10.1109/ICDABI56818.2022.10041611

Eagle-Eye: Open-Source Intelligence Tool for IoT Devices Detection

Al Mahmeed, Y., Elmedany, W. and Sharif, M. S. 2022. Eagle-Eye: Open-Source Intelligence Tool for IoT Devices Detection. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990658

An Effective Random Generalised Linear Model to Predict COPD

Saraireh, L., Sharif, S. and Alsallal, M. 2022. An Effective Random Generalised Linear Model to Predict COPD. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990712

Digital Data Extraction for Vehicles Forensic Investigation

Stathers, C., Muhammad, M., Fasanmade, A., Al-Bayatti, A., Morden, J. and Sharif, S. 2022. Digital Data Extraction for Vehicles Forensic Investigation. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990620

An Effective Galaxy Classification Using Fractal Analysis and Neural Network

Radhamani, P. S., Sharif, S. and Elmedany, W. 2022. An Effective Galaxy Classification Using Fractal Analysis and Neural Network. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990776

Evaluating the Stressful Commutes Using Physiological Signals and Machine Learning Techniques

Sharif, S., Theeng Tamang, M. and Fu, C. 2022. Evaluating the Stressful Commutes Using Physiological Signals and Machine Learning Techniques. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990849

Effective Machine Learning Based Techniques for Predicting Depression

Sharif, S., Zorto, A., Kareem, A. T. and Hafidh, R. 2022. Effective Machine Learning Based Techniques for Predicting Depression. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990824

Enhancement Techniques for Improving Facial Recognition Performance in Convolutional Neural Networks

Sharif, S., Olusegun, M., Zorto, A. and Elmedany, W. 2022. Enhancement Techniques for Improving Facial Recognition Performance in Convolutional Neural Networks. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990811

A Mixed Reality Approach for dealing with the Video Fatigue of Online Meetings

Wall, J., Poobalasingam, V., Sharif, S., Moniri, M., Glackin, C. and Cannings, N. 2022. A Mixed Reality Approach for dealing with the Video Fatigue of Online Meetings. 7th International XR Conference. Lisbon, Portugal 27 - 29 Apr 2022

Predicting the Health Impacts of Commuting Using EEG Signal Based on Intelligent Approach

Sharif, S., Theeng Tamang, M. and Fu, C. 2021. Predicting the Health Impacts of Commuting Using EEG Signal Based on Intelligent Approach. 3ICT 2021: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. Bahrain, University of Bahrain 29 - 30 Sep 2021 IEEE. https://doi.org/10.1109/3ICT53449.2021.9582119

An Effective Hybrid Approach Based on Machine Learning Techniques for Auto-Translation: Japanese to English

Sharif, S., Auwal, B., Maltby, H. and Al-Bayatti, A. 2021. An Effective Hybrid Approach Based on Machine Learning Techniques for Auto-Translation: Japanese to English. 3ICT 2021: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. Bahrain, University of Bahrain 29 - 30 Sep 2021 IEEE. https://doi.org/10.1109/3ICT53449.2021.9581629

An Effective Cost-Sensitive Convolutional Neural Network for Network Traffic Classification

Sharif, S. and Moein, M. 2021. An Effective Cost-Sensitive Convolutional Neural Network for Network Traffic Classification. 3ICT 2021: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. Bahrain, University of Bahrain 29 - 30 Sep 2021 IEEE. https://doi.org/10.1109/3ICT53449.2021.9581789

Defeating the Credit Card Scams Through Machine Learning Algorithms

Bains, K., Fasanmade, A., Morden, J., Al-Bayatti, A. H., Sharif, S. and Alfakeeh, A. S. 2021. Defeating the Credit Card Scams Through Machine Learning Algorithms. 3ICT 2021: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. Bahrain, University of Bahrain 29 - 30 Sep 2021 IEEE. https://doi.org/10.1109/3ICT53449.2021.9582060

Dictionary selection for Compressed Sensing of EEG signals using sparse binary matrix and spatiotemporal sparse Bayesian learning

Dey, M., Shiraz, A., Sharif, S., Lota, J. and Demosthenous, A. 2020. Dictionary selection for Compressed Sensing of EEG signals using sparse binary matrix and spatiotemporal sparse Bayesian learning. Biomedical Physics and Engineering Express. 6 (Art. 065024). https://doi.org/10.1088/2057-1976/abc133

An Effective Knowledge-Based Modeling Approach towards a “Smart-School Care Coordination System” for Children and Young People with Special Educational Needs and Disabilities

Hafidh, R., Sharif, S., Al-Bayatti, A. H., Alfakeeh, A. S., Alassafi, M. O. and Alqarni, M. A. 2020. An Effective Knowledge-Based Modeling Approach towards a “Smart-School Care Coordination System” for Children and Young People with Special Educational Needs and Disabilities. Symmetry. 12 (Art. 1495). https://doi.org/10.3390/sym12091495

Positron emission tomography PET/CT harmonisation study of different clinical PET/CT scanners using commercially available software

Lowe, G., Spottiswoode, B., Declerck, J., Sullivan,, K., Sharif, S., Wong, W. and Sanghera, B. 2020. Positron emission tomography PET/CT harmonisation study of different clinical PET/CT scanners using commercially available software. BJR Open. 2 (Art. 20190035). https://doi.org/10.1259/bjro.20190035

Semantic-Based Process Mining Technique for Annotation and Modelling of Domain Processes

Okoye, K., Islam, S., Naeem, U. and Sharif, S. 2020. Semantic-Based Process Mining Technique for Annotation and Modelling of Domain Processes. International Journal of Innovative Computing, Information and Control. 16 (3), pp. 899-921. https://doi.org/10.24507/ijicic.16.03.899

A Machine-Learning-Based Approach to Predict the Health Impacts of Commuting in Large Cities: Case Study of London

Raj Theeng Tamang, M., Sharif, M. S., Al-Bayatti, A. H., Alfakeeh, A. S. and Omar Alsayed, A. 2020. A Machine-Learning-Based Approach to Predict the Health Impacts of Commuting in Large Cities: Case Study of London. Symmetry. 12 (Art. 866). https://doi.org/10.3390/sym12050866

An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study

Sharif, S., Abbod, M., Al-Bayatti, A., Amira, A., Alfakeeh, A. and Sanghera, B. 2020. An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study. IEEE Access. 8, pp. 37482-37494. https://doi.org/10.1109/ACCESS.2020.2975135

A Deep Learning Based Suggested Model to Detect Necrotising Enterocolitis in Abdominal Radiography Images

Van Druten, J., Sharif, S., Chan, S. S., Chong, C. and Abdalla, H. 2019. A Deep Learning Based Suggested Model to Detect Necrotising Enterocolitis in Abdominal Radiography Images. IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) . London Metropolitan University, London, UK 22 - 23 Aug 2019 IEEE. https://doi.org/10.1109/iCCECE46942.2019.8941615

Context-Aware Driver Distraction Severity Classification using LSTM Network

Fasanmade, A., Aliyu, S., He, Y., Al-Bayatti, A. H., Sharif, S. and Alfakeeh, A. S. 2019. Context-Aware Driver Distraction Severity Classification using LSTM Network. IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) . London Metropolitan University, London, UK 22 - 23 Aug 2019 IEEE. pp. 147-152 https://doi.org/10.1109/iCCECE46942.2019.8941966

Predicting the Standard and Deviant Patterns In EEG Signals Based On Deep Learning Model

Sharif, S., Al-Bayatti, A. H. and Alfakeeh, A. S. 2019. Predicting the Standard and Deviant Patterns In EEG Signals Based On Deep Learning Model. IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) . London Metropolitan University, London, UK 22 - 23 Aug 2019 IEEE. https://doi.org/10.1109/iCCECE46942.2019.8941730

Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All

Ebenuwa, S., Sharif, S., Al-Nemrat, A., Al-Bayatti, A. H., Alalwan, N., Alzahrani, A. I. and Alfarraj, O. 2019. Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All. Symmetry. 11 (Art. 1504). https://doi.org/10.3390/sym11121504

Policy-Based Security Management System for 5G Heterogeneous Networks

Alquhayz, H., Alalwan, N., Alzahrani, A. I., Al-Bayatti, A. H. and Sharif, S. 2019. Policy-Based Security Management System for 5G Heterogeneous Networks. Wireless Communications and Mobile Computing. 2019 (Art. 4582391). https://doi.org/10.1155/2019/4582391

A Framework for Augmented Reality Based Shared Experiences

Ali, A., Glackin, C., Cannings, N., Wall, J., Sharif, S. and Moniri, M. 2019. A Framework for Augmented Reality Based Shared Experiences. Immersive Learning Research Network - iLRN. London, UK 23 - 27 Jun 2019 Technischen Universität Graz. https://doi.org/10.3217/978-3-85125-657-4-24

A Proposed Machine Learning Based Collective Disease Model to Enable Predictive Diagnostics in Necrotising Enterocolitis

van Druten, Jacqueline, Sharif, M., Khashu, Minesh and Abdalla, H. 2019. A Proposed Machine Learning Based Collective Disease Model to Enable Predictive Diagnostics in Necrotising Enterocolitis. in: Miraz, Mahdi H., Exce, Peter S., Jones, Andrew, Soomro, Safeeullah and Ali, Maaruf (ed.) Proceedings 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE) IEEE. pp. 101-106

A Machine Learning Techniques to Detect Counterfeit Medicine Based on X-Ray Fluorescence Analyser

Alsallal, Muna, Sharif, M., Al-Ghzawi, Baydaa and al Mutoki, Sabah Mohammed Mlkat 2019. A Machine Learning Techniques to Detect Counterfeit Medicine Based on X-Ray Fluorescence Analyser. in: Miraz, Mahdi H., Excell, Peter S., Jones, Andrew, Soomro, Safeeullah and Ali, Maaruf (ed.) Proceedings 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE) IEEE. pp. 118-122

An Effective TeleHealth Assistive System to Support Senior Citizen at Home or Care-Homes

Sharif, M., Alsallal, Muna and Herghelegiu, Lucian 2018. An Effective TeleHealth Assistive System to Support Senior Citizen at Home or Care-Homes. IEEE International Conference on Computing, Electronics & Communications Engineering 2018 (iCCECE '18). Southend, UK 16 - 17 Aug 2018 IEEE. pp. 113-117 https://doi.org/10.1109/iCCECOME.2018.8658877

Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data

Ebenuwa, S., Sharif, M., Alazab, Mamoun and Al-Nemrat, A. 2019. Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data. IEEE Access. 7, pp. 24649-24666. https://doi.org/10.1109/ACCESS.2019.2899578

Effect of PET Image Reconstruction Techniques on Unexpected Aorta Uptake

Hirji, H., Sullivan, K., Lasker, I., Sharif, S., Nunes, A., Shepherd, C., Wong, W. and Sanghera, B. 2019. Effect of PET Image Reconstruction Techniques on Unexpected Aorta Uptake. Molecular Imaging and Radionuclide Therapy. 28 (1), pp. 1-7. https://doi.org/10.4274/mirt.galenos.2018.88528

The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain

Okoye, Kingsley, Islam, S., Naeem, U., Sharif, M., Azam, Muhammad Awais and Karami, A. 2018. The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain. Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul (ed.) Intelligent Systems Conference (IntelliSys) 2018. London, UK 06 - 07 Sep 2018 Springer, Cham. https://doi.org/10.1007/978-3-030-01054-6_96

Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network

Sharif, M., Naeem, U., Islam, S. and Karami, A. 2018. Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network. Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul (ed.) Intelligent Systems Conference (IntelliSys) 2018. London, UK 06 - 07 Sep 2018 Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_34

Medical data analysis based on Nao robot: An automated approach towards robotic real-time interaction with human body

Sharif, M. and Alsibai, Mohammed Hayyan 2018. Medical data analysis based on Nao robot: An automated approach towards robotic real-time interaction with human body. in: 2017 7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) IEEE. pp. 91-96

An Innovative EPW Design Using Add-on Features to Meet Malaysian Requirements

Alsibai, Mohammed Hayyan, Sharif, M., Yaakub, Salma and Hamran, Nurul Nadia Nor 2018. An Innovative EPW Design Using Add-on Features to Meet Malaysian Requirements. in: Proceedings of the 7th IEEE International Conference on Control Systems, Computing and Engineering (ICCSCE 2017) IEEE. pp. 180-185

A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing

Pizzamiglio, S., Naeem, U., ur Réhman, Shafiq, Sharif, M., Abdalla, H. and Turner, D. 2017. A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing. Procedia Computer Science. 113, pp. 89-96. https://doi.org/10.1016/j.procs.2017.08.297

Taskification – Gamification of Tasks

Naeem, U., Islam, S., Sharif, M., Sudakov, Sergey and Azam, Awais 2017. Taskification – Gamification of Tasks. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers Association for Computing Machinery (ACM). pp. 631-634

SignalSense - Towards Quality Service

Islam, S., Sharif, M., Naeem, U. and Geehan, James 2017. SignalSense - Towards Quality Service. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers Association for Computing Machinery (ACM). pp. 627-630

CrimeSafe - Helping you stay safe

Islam, S., Naeem, U., Sharif, M. and Dovnarovic, Arnold 2017. CrimeSafe - Helping you stay safe. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers Association for Computing Machinery (ACM). pp. 642-645

Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification

Sharif, M., Abbod, Maysam, Amira, Abbes and Zaidi, Habib 2012. Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification. Advances in Fuzzy Systems. 2012 (327861). https://doi.org/10.1155/2012/327861

The Future of Enterprise Security with Regards to Mobile Technology and Applications

Tagoe, F. T. and Sharif, M. 2017. The Future of Enterprise Security with Regards to Mobile Technology and Applications. in: Jahankhani, Hamid, Carlile, Alex, Emm, David, Hosseinian-Far, Amin, Brown, Guy, Sexton, Graham and Jamal, Arshad (ed.) Global Security, Safety and Sustainability - The Security Challenges of the Connected World. ICGS3 2017 Proceedings Springer International Publishing.

Actor-Network Theory as a Framework to Analyse Technology Acceptance Model’s External Variables: The Case of Autonomous Vehicles

Seuwou, Patrice, Banissi, Ebad, Ubakanma, George, Sharif, M. and Healey, Ann 2017. Actor-Network Theory as a Framework to Analyse Technology Acceptance Model’s External Variables: The Case of Autonomous Vehicles. in: Jahankhani, Hamid, Carlile, Alex, Emm, David, Hosseinian-Far, Amin, Brown, Guy, Sexton, Graham and Jamal, Arshad (ed.) Global Security, Safety and Sustainability - The Security Challenges of the Connected World. ICGS3 2017 Proceedings Springer International Publishing.

In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: A review study

Alzubaidi, Rania, Sharif, M., Qahwaji, Rami, Ipson, Stanley and Brahma, Arun 2015. In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: A review study. British Journal of Ophthalmology. 100 (1), pp. 41-55. https://doi.org/10.1136/bjophthalmol-2015-306934

An efficient intelligent analysis system for confocal corneal endothelium images

Sharif, M., Qahwaji, R., Shahamatnia, E., Alzubaidi, R., Ipson, S. and Brahma, A. 2015. An efficient intelligent analysis system for confocal corneal endothelium images. Computer Methods and Programs in Biomedicine. 122 (3), pp. 421-436. https://doi.org/10.1016/j.cmpb.2015.09.003

Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images

Sharif, M., Qahwaji, R., Ipson, S. and Brahma, A. 2015. Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images. Applied Soft Computing. 36 (Nov.), pp. 269-282. https://doi.org/10.1016/j.asoc.2015.07.019

Preparation of 2D sequences of corneal images for 3D model building

Elbita, Abdulhakim, Qahwaji, Rami, Ipson, Stanley, Sharif, M. and Ghanchi, Faruque 2015. Preparation of 2D sequences of corneal images for 3D model building. Computer Methods and Programs in Biomedicine. 114 (2), pp. 194-205. https://doi.org/10.1016/j.cmpb.2014.01.009

An efficient system for preprocessing confocal corneal images for subsequent analysis

Sharif, M., Qahwaji, Rami, Hayajneh, Sofyan, Ipson, Stanley, Alzubaidi, Rania and Brahma, Arun 2014. An efficient system for preprocessing confocal corneal images for subsequent analysis. in: 2014 14th UK Workshop on Computational Intelligence (UKCI) IEEE.

Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study

Sharif, M., Abbod, Maysam, Sonoda, Luke I. and Sanghera, Bal 2013. Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study. British Journal of Applied Science & Technology. 4 (4), pp. 634-649. https://doi.org/10.9734/bjast/2014/5084

Artificial Neural Network-Based System for PET Volume Segmentation

Sharif, M., Abbod, Maysam, Amira, Abbes and Zaidi, Habib 2010. Artificial Neural Network-Based System for PET Volume Segmentation. International Journal of Biomedical Imaging. 2010 (105610). https://doi.org/10.1155/2010/105610
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