Research

Google Scholar Profiles & Sample Publications

Dr. Adel Elmaghraby

Director of Research and Innovation

2024 Top Scholar by ScholarGPS

Google Scholar Profile Toward Deep Semi-Supervised Continual Learning Cyber security challenges in Smart Cities Connected-UNets: a deep learning architecture for breast mass segmentation A personalized autism diagnosis CAD system Assessing the complementarity of wind and solar energy in kentucky Integrated deep learning and stochastic models for accurate segmentation of lung nodules BINER: A low-cost biomedical named entity recognition Early detection and classification of abnormality in prior mammograms

Adrian Lauf

Assoc Professor

Google Scholar Profile A Lightweight Multi-Factor Authentication and Privacy Preservation Protocol for Fleet Vehicles Cardinal RF (CardRF): An outdoor UAV/UAS/drone RF signals with Bluetooth and WiFi signals dataset Wavelet transform analytics for RF-based UAV detection and identification system using machine learning

AI-Powered Nailfold Capillary Analysis

Adel Elmaghraby, Mona Ebadi Jalal, Omar S. Emam, Cristián Castillo-Olea, and Begoña García-Zapirain introduce a deep learning model using EfficientNet-B0 with cascade transfer learning for detecting abnormalities in nailfold capillary images. Their model achieved perfect classification accuracy (1.00), significantly outperforming traditional methods. This AI-driven approach enhances early disease detection and improves diagnostic efficiency in conditions like diabetes and cardiovascular diseases. The study highlights the potential of AI in medical imaging and aims for further validation on larger datasets for clinical applications.

Bias-Resistant Corpus for Emotion Recognition

The paper presents a gender-bias-resistant super corpus designed to improve fairness in Speech Emotion Recognition (SER). By merging and balancing multiple existing datasets, the authors create a comprehensive resource with equal male and female representation. Deep learning models trained on this corpus show improved emotion recognition accuracy across genders, highlighting the importance of addressing bias in SER systems.

IoT in Smart Cities: A Survey of Technologies.

Internet of Things (IoT) is a system that integrates different devices and technologies, removing the necessity of human intervention. This enables the capacity of having smart (or smarter) cities around the world. By hosting different technologies and allowing interactions between them, the internet of things has spearheaded the development of smart city systems for sustainable living, increased comfort and productivity for citizens.

Deep learning role in early diagnosis of prostate cancer

The paper investigates how deep learning can be utilized for the early detection of prostate cancer, enhancing diagnostic accuracy and efficiency. Dr. Adel Elmaghraby played a key role in this research, focusing on integrating AI techniques into medical imaging to support early diagnosis and better patient outcomes.