Mohammed Mahfouz Elmogy

Mohammed Elmogy is a professor and head of the Information Technology Dept., Faculty of Computers and Information, Mansoura University, Egypt. He received his B.Sc. and M.Sc. from the Faculty of Engineering, Mansoura University, Mansoura, Egypt. He received his Ph.D. from Informatics Department, MIN Faculty, Hamburg University, Hamburg, Germany, in 2010. He worked as a visiting researcher from July 2016 to August 2019 at the Bioengineering Department, University of Louisville, Louisville, USA. He has authored/co-authored over 250 research publications in peer-reviewed reputed journals, book chapters, and conference proceedings. Most of his publications are in artificial intelligence, machine learning, computer vision, medical data analysis, and their applications. He has served as a reviewer for various prestigious international journals, such as Artificial Intelligence in Medicine, Computers in Biology and Medicine, Information Sciences, IEEE Journal of Biomedical and Health Informatics, and IEEE Access. He served as a technical program committee member in many workshops and conferences. He served as a member of the editorial board of many journals, such as Computers in Biology and Medicine, Journal of Software Engineering & Intelligent Systems, and International Journal of Advanced Computer Research. He is a senior member of the IEEE society, membership since 2008. He has been a professional member of the ACM society since 2011. He advised and co-advised more than 40 master's and doctoral graduates. His current research interests are artificial intelligence, computer vision, medical image analysis, machine learning, pattern recognition, and biomedical engineering.

Publications

AI-Driven Decentralized Finance and the Future of Finance
AI-Driven Decentralized Finance and the Future of Finance
Mohammad Irfan, Mohammed Elmogy, Swati Gupta, Fahmi Khalifa, Rui Teixeira Dias. © 2025. 320 pages.
In the evolving landscape of finance, traditional institutions grapple with challenges ranging from outdated processes to limited accessibility, hindering the industry's...
Leveraging Artificial Intelligence for Slum Mapping and Upgrading Programs Using Drones: The Case of Bangalore City, India
Leveraging Artificial Intelligence for Slum Mapping and Upgrading Programs Using Drones: The Case of Bangalore City, India
N. Mohan, Mohammad Irfan, N. Chandrika, Mohammed Mahfouz Elmogy. © 2024. 15 pages.
In many developing counties, urban slums pose significant challenges to residents and authorities alike. The lack of accurate, up-to-date information on slum settlements hampers...
The Impact of AI Innovation on Financial Sectors in the Era of Industry 5.0
The Impact of AI Innovation on Financial Sectors in the Era of Industry 5.0
Mohammad Irfan, Mohammed Elmogy, M. Shabri Abd. Majid, Shaker El-Sappagh. © 2023. 320 pages.
In the dynamic and ever-changing financial landscape, the seamless integration of artificial intelligence (AI) and machine learning (ML) has presented unprecedented challenges...
Medical Case Based Reasoning Frameworks: Current Developments and Future Directions
Medical Case Based Reasoning Frameworks: Current Developments and Future Directions
Shaker El-Sappagh, Mohammed Mahfouz Elmogy. © 2020. 37 pages.
Case-Based Reasoning (CBR) is one of the most suitable AI techniques for building clinical decision support systems. Medical domain complexity introduces many challenges for...
Early-Stage Ovarian Cancer Diagnosis Using Fuzzy Rough Sets with SVM Classification
Early-Stage Ovarian Cancer Diagnosis Using Fuzzy Rough Sets with SVM Classification
Nora Shoaip, Mohammed Mahfouz Elmogy, Alaa M. Riad, Hosam Zaghloul, Farid A. Badria. © 2017. 18 pages.
Ovarian cancer is one of the most dangerous cancers among women which have a high rank of the cancers causing death. Ovarian cancer diagnoses are very difficult especially in...
Segmentation of Brain Tumor from MRI Images Based on Hybrid Clustering Techniques
Segmentation of Brain Tumor from MRI Images Based on Hybrid Clustering Techniques
Eman A. Abdel Maksoud, Mohammed Mahfouz Elmogy, Rashid Mokhtar Al-Awadi. © 2017. 22 pages.
The popularity of clustering in segmentation encouraged us to develop a new medical image segmentation system based on two-hybrid clustering techniques. Our medical system...
A Preparation Framework for EHR Data to Construct CBR Case-Base
A Preparation Framework for EHR Data to Construct CBR Case-Base
Shaker El-Sappagh, Mohammed Mahfouz Elmogy, Alaa M. Riad, Hosam Zaghloul, Farid A. Badria. © 2017. 34 pages.
Diabetes mellitus diagnosis is an experience-based problem. Case-Based Reasoning (CBR) is the first choice for these problems. CBR depends on the quality of its case-base...
A Fragile Watermarking Chaotic Authentication Scheme Based on Fuzzy C-Means for Image Tamper Detection
A Fragile Watermarking Chaotic Authentication Scheme Based on Fuzzy C-Means for Image Tamper Detection
Kamal Hamouda, Mohammed Mahfouz Elmogy, B. S. El-Desouky. © 2017. 23 pages.
In the last two decades, several fragile watermarking schemes have been proposed for image authentication. In this paper, a novel fragile watermarking authentication scheme based...
Medical Case Based Reasoning Frameworks: Current Developments and Future Directions
Medical Case Based Reasoning Frameworks: Current Developments and Future Directions
Shaker El-Sappagh, Mohammed Mahfouz Elmogy. © 2016. 32 pages.
Case-Based Reasoning (CBR) is one of the most suitable AI techniques for building clinical decision support systems. Medical domain complexity introduces many challenges for...