Publications

Publications

My publications are listed on Google Scholar and ResearchGate.

[82]  M. Abumohsen, E. Costa-Montenegro, S. García-Méndez, A. Y. Owda, and M. Owda, "Machine Learning and Deep Learning in Lung Cancer Diagnostics: A Systematic Review of Technical Breakthroughs, Clinical Barriers, and Ethical Imperatives," AI, 2026.

[81]  N. Abulail, A. Y. Owda, and M. Owda, "Real-Time Detection and Analysis of Facial Movement Disorders Using MediaPipe and OpenCV: A Streamlit-Based Framework," in 2025 12th International Conference on Information Technology (ICIT), 2025: IEEE, pp. 13-18.

[80]  A. Abumihsan, M. Owda, A. Y. Owda, F. Gasir, M. Abumohsen, and L. Stergioulas, "A Novel Deep Learning Approach for Enhanced Ischemic Brain Stroke Detection from CT Images Using Deep Feature Extraction and Optimized Feature Selection," in 2025 12th International Conference on Information Technology (ICIT), 2025: IEEE, pp. 1-6.

[79]  A. Abumihsan, A. Y. Owda, M. Owda, M. Abumohsen, L. Stergioulas, and M. A. A. Amer, "A Novel Hybrid Model for Brain Ischemic Stroke Detection Using Feature Fusion and Convolutional Block Attention Module," IEEE Access, 2025.

[78]  M. Abumohsen, E. Costa-Montenegro, S. García-Méndez, A. Y. Owda, and M. Owda, "Advanced Deep Learning Techniques for Accurate Lung Cancer Detection and Classification," in 2025 12th International Conference on Information Technology (ICIT), 2025: IEEE, pp. 7-12.

[77]  M. F.-V. Alsharif Hassan Aburbeian, Ana Fernandez-Vilas, Amani Yousef Owda, Majdi Owda, "A Comprehensive Literature Review of Privacy Preserving Techniques and Challenges in Decentralized Federated Learning," in 2025 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC), 2025: IEEE, pp. 1-6.

[76]  R. O. Baddad, A. Y. Owda, and M. Owda, "Customer Segmentation for Targeted Campaigns Using RFM Analysis and K-Means Clustering," in 2025 12th International Conference on Information Technology (ICIT), 2025: IEEE, pp. 27-32.

[75]  E. a. D. Barghouthi, A. Y. Owda, M. Owda, and M. Asia, "A Fused Multi-Channel Prediction Model of Pressure Injury for Adult Hospitalized Patients—The “EADB” Model," AI, vol. 6, no. 2, p. 39, 2025.

[74]  A. Dawabsheh, M. Owda, A. Owda, R. Amayra, and H. HajHamad, "Mobile Forensics Solution for Cloud Permission Challenges: Xiaomi Smartphones Case Study," 2025.

[73]  M. R. Hawa, A. Y. Owda, and M. Owda, "Android Mobile Security and File Protection Using Face Recognition," International Journal of Wireless and Microwave Technologies (IJWMT), vol. 15, no. 2, pp. 26-40, 2025.

[72]  M. R. Hawa, M. Owda, and A. Y. Owda, "Enhancing Digital Investigation: The Role of Generative AI (ChatGPT) in Evidence Identification and Analysis in Digital Forensics," in 2025 12th International Conference on Information Technology (ICIT), 2025: IEEE, pp. 19-26.

[71]  T. H. Jamal, A. Y. Owda, and M. Owda, "Improve the Efficiency of Resource Allocation in Healthcare Management Using Decision Support System," in 2025 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 2025: IEEE, pp. 467-472.

[70]  M. Owda, A. Abumihsan, A. Y. Owda, and M. Abumohsen, "A Lightweight Hybrid Deep Learning Model for Tuberculosis Detection from Chest X-Rays," Diagnostics, vol. 15, no. 24, p. 3216, 2025.

[69]  A. Y. Owda, N. Salmon, and M. Owda, "Predicting human skin reflectance using nearby regions' values in multiple linear regression models," in Sensors and Communication Technologies in the 1 GHz to 10 THz Band, 2025, vol. 13677: SPIE, pp. 86-95.

[68]  A. A. Sharabati, M. Owda, and A. Owda, "Predictive Modeling of CO2 Emissions Based on Economic and Demographic Factors," 2025.

[67]  J. O. Sleibi, A. Y. Owda, and M. Owda, "Early Prediction of Kidney Dysfunction in Diabetes Patients Based on Fasting Blood Sugar and Creatinine Status," in 2025 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 2025: IEEE, pp. 461-466.

[66]  I. Abubaker, M. Owda, and A. Y. Owda, "Multi-Channel Fusion Model for Data Logs Analysis and Anomaly Detection in Data Centers," in 2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA), 2024: IEEE, pp. 546-551.

[65]  A. Abumihsan, M. Owda, A. Y. Owda, M. Abumohsen, and L. Stergioulas, "Detection of DDoS Attack on Software-Defined Networking Controller Using Convolutional Neural Networks," in 2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA), 2024: IEEE, pp. 511-516.

[64]  M. Abumohsen, A. Y. Owda, M. Owda, A. Abumihsan, and L. Stergioulas, "Forecasting solar power generation using extreme gradient boosting: a machine learning approach," in 2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA), 2024: IEEE, pp. 505-510.

[63]  M. Abumohsen, A. Y. Owda, M. Owda, and A. Abumihsan, "Hybrid machine learning model combining of CNN-LSTM-RF for time series forecasting of Solar Power Generation," e-Prime-Advances in Electrical Engineering, Electronics and Energy, vol. 9, p. 100636, 2024.

[62]  A. H. Aburbeian, M. Owda, and A. Y. Owda, "Mobile Forensics Analysis for Instant Messaging Applications Namely TamTam and Botim," An-Najah University Journal for Research - A (Natural Sciences), vol. 39, no. 2, pp. 1-8, 2024.

[61]  H. Amro, S. Najjar, M. Owda, and F. Elayyan, "A comprehensive national survey on malocclusion prevalence among Palestinian children," BMC Oral Health, vol. 24, no. 1, p. 664, 2024.

[60]  A. Y. Owda and M. Owda, "Homogenous and multilayer electromagnetics models for estimating skin reflectance," Indones. J. Electr. Eng. Comput. Sci, vol. 33, no. 1, pp. 82-92, 2024.

[59]  M. M. Owess, A. Y. Owda, M. Owda, and S. Massad, "Supervised machine learning-based models for predicting raised blood sugar," International Journal of Environmental Research and Public Health, vol. 21, no. 7, p. 840, 2024.

[58]  H. Saadah, A. Y. Owda, and M. Owda, "Convolutional neural networks breast cancer classification using Palestinian mammogram dataset," Indonesian Journal of Electrical Engineering and Computer Science, vol. 36, no. 2, pp. 1149-1162, 2024.

[57]  H. Saadah, A. Y. Owda, L. Stergioulas, and M. Owda, "Optimal Decision Support System Model for Breast Cancer Diagnosis," in 2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA), 2024: IEEE, pp. 528-533.

[56] Y Salem, M Owda, AY Owda, Towards Digital Forensics 4.0: A Multilevel Digital Forensics Framework for Internet of Things (IoT) Devices, International Journal of Wireless and Microwave Technologies (IJWMT) 14.

[55] AY Owda, M Owda, Homogenous and multilayer electromagnetics models for estimating skin reflectance, Indonesian Journal of Electrical Engineering and Computer Science 33 (1), 82-92.

[54] AY Owda, N Salmon, M Owda, A three-layer model for investigating the effect of clothing made of fleece, denim, and leather on the interaction of millimetre wave radiation on the skin  Emerging Imaging and Sensing Technologies for Security and Defence VIII.

[53] AY Owda, M Asia, M Owda, Systematic Review for Risks of Pressure Injury and Prediction Models Using Machine Learning Algorithms ED Barghouthi, Diagnostics 13 (17), 2739

[52] MM Owess, AY Owda, M Owda, Decision Support System in Healthcare for Predicting Blood Pressure Disorders, 2023 International Conference on Information Technology (ICIT), 62-67.

[51] N Abulail, AY Owda, M Owda, Water Quality Classification Decision Support System, 2023 International Conference on Information Technology (ICIT), 73-78.

[50] M Abumohsen, AY Owda, M Owda, Electrical Load Forecasting Based on Random Forest, XGBoost, and Linear Regression Algorithms, 2023 International Conference on Information Technology (ICIT), 25-31.

[49] AHM Aburbeian, M Owda, AY Owda, Digital Forensic Analysis of Hologram Projection Fans, 2023 International Conference on Information Technology (ICIT), 7-12.

[48] Y Salem, M Owda, AY Owda, A Comprehensive Review of Digital Forensics Frameworks for Internet of Things (IoT) Devices, 2023 International Conference on Information Technology (ICIT), 89-96.

[47] A Dawabsheh, M Owda, In-Vehicles Infotainment System Forensics Case Study 2023 International Conference on Information Technology (ICIT), 32-37.

[46] M Abumohsen, AY Owda, M Owda, Electrical load forecasting using LSTM, GRU, and RNN algorithms, Energies, 16 (5), 2283.

[45] Y Salem, M Owda, AY Owda, An Experimental Approach for Locating WhatsApp Digital Forensics Artifacts on Windows 10 and the Cloud, International Journal of Electronic Security and Digital Forensics 15 (1), 1-20.

[44] AY Owda, N Salmon, M Owda, Porcine skin as a surrogate for human skin in millimetre wave sensing research  Emerging Imaging and Sensing Technologies for Security and Defence VII 12274.

[43] AY Owda, M Owda, Early Detection of Skin Disorders and Diseases Using Radiometry, Diagnostics, 12 (9), 2117.

[42] AHM Aburbeian, AY Owda, M Owda, A technology acceptance model survey of the metaverse prospects Ai 3 (2), 285-302.

[41] M Shadeed, L Abu Arram, M Owda, Forensic Analysis of "WhatsApp" Artifacts in Android without Root, Advances in Science, Technology and Engineering Systems Journal (ASTESJ) 7.

[40]AM Aburbeian, AY Owda, M Owda, A technology acceptance model survey of the metaverse prospects. AI, 3 (2), 285–302.

[39] AM Aburbeian, AY Owda, M Owda, A technology acceptance model survey of the Metaverse prospects. AI 2022 (3), 285–302.

[38] Y. Salem, M. Owda, A. Y. Owda, “An Experimental Approach for Locating WhatsApp Digital Forensics Artifacts on Windows 10 and the Cloud,” International Journal of Electronic Security and Digital Forensics, vol. 15, Issue. 1, pp. 1-20, 2023. Journal impact factor: 1.46

[37] A. Y. Owda, M.Owda, “Early Detection of Skin Disorders and Diseases Using Radiometry,” Diagnostics, vol. 12, Issue. 9, pp. 2117, 2022. Journal impact factor: 3.992

[36] A. M. Aburbeian, A. Y. Owda, and M. Owda “A Technology Acceptance Model Survey of the Metaverse Prospects,” AI, vol. 3, Issue. 2, pp. 285-302, 2022.

[35] F. H. Hazboun. Aburbeian, M. Owda, and A. Y. Owda “A Natural Language Interface to Relational Databases Using an Online Analytic Processing Hypercube,” AI, vol. 2, Issue. 4, pp. 720-737, 2021.

[34] A. Y. Owda, M. Owda, and N.-D. Rezgui “Synthetic Aperture Radar Imaging for Burn Wounds Diagnostics,” Sensors, vol. 20, Issue. 3, pp. 1-18, 2020. Journal impact factor: 3.576

[33] A. Y. Owda, N. Salmon, A. Casson, and M. Owda “The Reflectance of Human Skin in the Millimeter-Wave Band,” Sensors, vol. 20, Issue. 5, pp. 1-22, 2020. Journal impact factor: 3.576.

[32] A. Y. Owda, N. Salmon, S. Shylo, and M. Owda “Assessment of Bandaged Burn Wounds Using Porcine Skin and Millimetric Radiometry,” Sensors, vol. 19, Issue. 13, pp. 1-18, 2019. Journal impact factor: 3.576

[31] A. Y. Owda, N. Salmon and M.Owda, “Porcine skin as a surrogate for human skin in millimetre wave sensing research,” Proc. SPIE 12274, Emerging Imaging and Sensing Technologies for Security and Defence VII, Berlin, September, 2022.

[30] A. Y. Owda, N. Salmon and M.Owda, “Indoor passive sensing for detecting hidden objects under clothing,” Proc. SPIE 11868, Emerging Imaging and Sensing Technologies for Security and Defence VI, September, 2021.

[29] M. Owda, A. Y. Owda, F. Gasir, “A Comprehensive Methodology for Evaluating Conversation-Based Interfaces to Relational Databases (C-BIRDs),” Intelligent Systems Conference, Amsterdam, September, 2020.

[28] L Evans, M Owda, K Crockett, A Vilas, Towards the Real-time Credibility Assessment of Financial Stock Tweets, Expert Systems with Applications, 2019. https://doi.org/10.1016/j.eswa.2019.03.019.Journal impact factor: 3.768 and SNIP: 2.445

[27] A. Y. Owda, M. Owda, and N.-D. Rezgui “Synthetic Aperture Radar Imaging for Burn Wounds Diagnostics,” Submitted to Sensors Journal. Journal impact factor: 3.031

[26] A. Y. Owda, N. Salmon, A. Casson, and M. Owda, Millimetre Wave Radiometry for Early Detection of Skin, Submitted to Sensors Journal, 2020. Journal impact factor: 3.031.

[25] M Owda, A Y Owda, F Gasir, A Comprehensive Methodology for Evaluating Conversation-Based Interfaces to Relational Databases (C-BIRDs), Intelligent Systems Conference, Amsterdam, 2020.

[24] F Younas, M Owda, Spatial Sentiment and Perception Analysis of BBC News Articles Using Twitter Posts Mining, Intelligent Systems Conference, Amsterdam, 2020. 

[23] L Evans, M Owda, K Crockett, A Vilas, A Methodology for the Resolution of Cashtag Collisions on Twitter–A Natural Language Processing & Data Fusion Approach, Expert Systems with Applications, 2019. https://doi.org/10.1016/j.eswa.2019.03.019
Journal impact factor: 3.768 and SNIP: 2.445.

[22] A. Y. Owda, N. Salmon, S. Shylo, and M. Owda Assessment of Bandaged Burn Wounds Using Porcine Skin and Millimetric Radiometry, Sensors, vol. 19, Issue. 13, pp. 1-18, 2019. Journal impact factor: 3.031.

[21] L Evans, M Owda, K Crockett, A Vilas, Big Data Fusion Model for Heterogeneous Financial Market Data (FinDF), Intelligent Systems Conference (IntelliSys), 2018.

[20] A Vilas, R Diaz, K Crockett, M Owda, L Evans, Twitter permeability to financial events: an experiment towards a model for sensing irregularities, Journal of Multimedia Tools and Applications, 2018.
Journal impact factor: 1.54, SNIP: 1.1

[19] P Lee, M Owda, K Crockett, The detection of fraud activities on the stock market through forward analysis methodology of financial discussion boards, Future of Information and Communication Conference (FICC), 2018.

[18] L Evans, M Owda, K Crockett, A Vilas, Detection of Potential Irregularities Within the Stock Market, Provoking Discourse, The 10th Man Met Postgraduate Research Conference, 2018.

[17] PS Lee, M Owda, K Crockett, Novel methods for resolving false positives during the detection of fraudulent activities on stock market financial discussion boards, International Journal of Advanced Computer Science and Applications, 9 (1), 2018.
Journal impact factor: 1.1

[16] A Fernández-Vilas, L Evans, M Owda, RPD Redondo, K Crockett, Experiment for Analysing the Impact of Financial Events on Twitter, International Conference on Algorithms and Architectures for Parallel Processing, 2017.

[15] M. Owda, and K. Crockett, and P. Lee, Financial Discussion Boards Irregularities Detection System (FDBs-IDS) using Information Extraction. In: Intelligent Systems Conference 2017, 07 September 2017 - 08 September 2017, London, UK.

[14] A. Alghamdi, M. Owda, and K. Crockett, Natural Language Interface to Relational Database (NLI-RDB) Through Object Relational Mapping (ORM). In: Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK. Springer International Publishing, pp. 449-464. ISBN 978-3-319-46562-3.

[13] P. Lee, M. Owda, K. Crockett, A Financial Crime Analysis Methodology for Financial Discussion Boards using Information Extraction Techniques, Graduate Conference, Manchester Metropolitan University, 2015

[12] S. Toes, M. Owda, Template-Based Information Extraction System for Detection of Events on Twitter, The 3rd International Conference on Cybercrime, Security and Digital Forensics, London, UK, 2013.

[11] M. Owda, S. Toes, Information Extraction From Big Social Data, Early Careers Research Conference, Manchester Metropolitan University, 2013.

[10] J. Maude, M. Owda, Crime Prevention on Social Networks Featuring Location Based Services, 2012 International Conference on Cybercrime, Security and Digital Forensics, London, UK, 2012.

[9] E. Knott, M. Owda, The detection of potentially illegal activity on financial discussion boards using information extraction, 2012 International Conference on Cybercrime, Security and Digital Forensics, London, UK, 2012.

[8] D. Hussain, M. Owda, E-Officer for Crime Prevention on Social Networks, 2011 International Conference on Cybercrime, Security and Digital Forensics, Glasgow, UK, 2011.

[7] M. Owda, Conversation-Based Interfaces to Relational Databases (C-BIRDs), Ph.D. Thesis, Manchester Metropolitan University, 2011.

[6] M. Owda, Z. Bandar, K. Crockett, Information Extraction for SQL Query Generation in the Conversation-Based Interfaces to Relational Databases (C-BIRD), 5th International KES Conference on Agents and Multi-agent Systems – Technologies and Applications, Manchester, UK, 2011.

[5] M. Owda, Z. Bandar, K. Crockett, Creating Semantic-Conversational Graphs from Oracle Relational Database for Conversational Databases, Annual Research Conference , Manchester Metropolitan University, ISBN: 978-1-905476-367.

[4] M. Owda, Z. Bandar, K. Crockett, Conversation-Based Natural Language Interface to Relational Databases, 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops (WI-IAT Workshops 2007), 2-5 November 2007,California, USA.

[3] M. Owda, Z. Bandar, K. Crockett, Guided Conversational Agents and Knowledge Trees for Natural Language Interfaces to Relational Databases, Annual Research Conference, Manchester Metropolitan University, Sep/2007.

[2] M. Owda, A Combinational Approach of Pattern Matching & Case-Based Reasoning for Automatic Email Response, 2006.

[1] M. Owda, MSc Dissertation "Case-Based Reasoning & Pattern Matching Framework for Automatic E-mail Response", 2005.