Abdul Razaque
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Professor
Also affiliated: Cleveland State University (2015–2018); Rochester Institute of Technology - Dubai (2016); Quaid-i-Azam University (2020); Gachon University (2023–2025); Pennsylvania State University (2015); Shaheed Benazir Bhutto University (2020); University of Arizona (2024); University of Northern Virginia (2011); Ohio Northern University (2024–2025); University of Bridgeport (2011–2015); Hamdard University (2025); Satbayev University (2024–2025); Mohammad Ali Jinnah University (2008); Almaty University of Power Engineering and Telecommunications (2019); Nanjing Institute of Technology (2018); Indus Hospital (2019–2024); Kazakh Ablai Khan University of International Relations and World Languages (2022); King Saud University (2020–2025); Health Net (2023); Nanjing University of Science and Technology (2017); Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology (2016); New York Institute of Technology (2016–2020); Korea Soongsil Cyber University (2025); Fauji Fertilizer (Pakistan) (2005); Southern Arkansas University Tech (2025); International Information Technologies University (2018–2026); Taylor's University (2022); Marymount University (2022)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Abdul Razaque's research focuses on the application of artificial intelligence and machine learning techniques to address challenges across various domains. His work includes developing deep learning frameworks for object detection, such as in unmanned aerial vehicles, and for analyzing social media content to detect cyberbullying. He has also investigated improved support vector machine algorithms for classifying remote sensing images and explored the use of deep Kalman backpropagation neural networks for detecting distributed denial-of-service (DDoS) attacks in 5G-enabled Internet of Things (IoT) networks.
Further research by Razaque extends into the application of AI in healthcare, with a review on artificial intelligence methods for Alzheimer's disease diagnosis, examining insights from neuroimaging to sensor data. He has also examined energy-efficient and secure mobile fog-based cloud computing for IoT systems. His publications address the role of advanced technologies in Industry 4.0 and review blockchains for the Internet of Vehicles, indicating a broad interest in technological advancements and their practical implementation.
Razaque holds a distinguished record with an h-index of 28, over 230 publications, and more than 3,000 citations. He is recognized as a high-impact researcher. His collaborators include Hari Mohan, with whom he has co-authored three publications.
Metrics
- h-index: 28
- Publications: 224
- Citations: 3,089
Selected Publications
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A composite intelligence scoring framework for identifying high-potential individuals using multi-metric predictive models (2025)
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Enhanced Lesion Localization and Classification in Ocular Tumor Detection Using Grad-CAM and Transfer Learning (2025)
Collaboration Network
Top Collaborators
- Deep learning for unmanned aerial vehicles detection: A review
- Improved Support Vector Machine Enabled Radial Basis Function and Linear Variants for Remote Sensing Image Classification
- A Multichannel Deep Learning Framework for Cyberbullying Detection on Social Media
- Energy-efficient and secure mobile fog-based cloud for the Internet of Things
- Detection of Unauthorized Unmanned Aerial Vehicles Using YOLOv5 and Transfer Learning
Showing 5 of 23 shared publications
- Deep learning for unmanned aerial vehicles detection: A review
- Improved Support Vector Machine Enabled Radial Basis Function and Linear Variants for Remote Sensing Image Classification
- A Multichannel Deep Learning Framework for Cyberbullying Detection on Social Media
- Energy-efficient and secure mobile fog-based cloud for the Internet of Things
- Detection of Unauthorized Unmanned Aerial Vehicles Using YOLOv5 and Transfer Learning
Showing 5 of 20 shared publications
- Detection of Unauthorized Unmanned Aerial Vehicles Using YOLOv5 and Transfer Learning
- Credit Card-Not-Present Fraud Detection and Prevention Using Big Data Analytics Algorithms
- Big Data Handling Approach for Unauthorized Cloud Computing Access
- Blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection
- Clickbait Detection Using Deep Recurrent Neural Network
Showing 5 of 12 shared publications
- The Role of Cutting-Edge Technologies in Industry 4.0
- A comprehensive review on blockchains for Internet of Vehicles: Challenges and directions
- Light Weight Authentication Scheme for Smart Home IoT Devices
- A Mobility-Aware Human-Centric Cyber–Physical System for Efficient and Secure Smart Healthcare
- Enhancing the Performance of Lightweight Configurable PUF for Robust IoT Hardware-Assisted Security
Showing 5 of 11 shared publications
- Improved Support Vector Machine Enabled Radial Basis Function and Linear Variants for Remote Sensing Image Classification
- DDoS detection in 5G-enabled IoT networks using deep Kalman backpropagation neural network
- Energy-efficient and secure mobile fog-based cloud for the Internet of Things
- Efficient and reliable forensics using intelligent edge computing
- Credit Card-Not-Present Fraud Detection and Prevention Using Big Data Analytics Algorithms
Showing 5 of 9 shared publications
- A review of artificial intelligence methods for Alzheimer's disease diagnosis: Insights from neuroimaging to sensor data analysis
- Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic techniques
- Blockchain-enabled heterogeneous 6G supported secure vehicular management system over cloud edge computing
- Developing Robotic Process Automation to Efficiently Integrate Long-Term Business Process Management
- Efficient Internet-of-Things Cyberattack Depletion Using Blockchain-Enabled Software-Defined Networking and 6G Network Technology
Showing 5 of 9 shared publications
- Credit Card-Not-Present Fraud Detection and Prevention Using Big Data Analytics Algorithms
- Efficient Internet-of-Things Cyberattack Depletion Using Blockchain-Enabled Software-Defined Networking and 6G Network Technology
- Review of malicious code detection in data mining applications: challenges, algorithms, and future direction
- Comprehensive analysis of Li-Fi technology: positioning algorithms, security vulnerabilities, and future IoT applications
- Quality of Service Generalization using Parallel Turing Integration Paradigm to Support Machine Learning
Showing 5 of 7 shared publications
- Improved Support Vector Machine Enabled Radial Basis Function and Linear Variants for Remote Sensing Image Classification
- Credit Card-Not-Present Fraud Detection and Prevention Using Big Data Analytics Algorithms
- Privacy Preservation Models for Third-Party Auditor over Cloud Computing: A Survey
- Privacy preservation Models for Third-Party Auditor over Cloud Computing: a Survey
- Quality of Service Generalization using Parallel Turing Integration Paradigm to Support Machine Learning
Showing 5 of 6 shared publications
- Deep learning for unmanned aerial vehicles detection: A review
- Energy-efficient and secure mobile fog-based cloud for the Internet of Things
- A Mobility-Aware Human-Centric Cyber–Physical System for Efficient and Secure Smart Healthcare
- Avoidance of Cybersecurity Threats with the Deployment of a Web-Based Blockchain-Enabled Cybersecurity Awareness System
- Blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection
Showing 5 of 6 shared publications
- Credit Card-Not-Present Fraud Detection and Prevention Using Big Data Analytics Algorithms
- Blockchain-enabled heterogeneous 6G supported secure vehicular management system over cloud edge computing
- Efficient Internet-of-Things Cyberattack Depletion Using Blockchain-Enabled Software-Defined Networking and 6G Network Technology
- Quality of Service Generalization using Parallel Turing Integration Paradigm to Support Machine Learning
- Malicious Vehicle Detection Using Layer-Based Paradigm and the Internet of Things
Showing 5 of 6 shared publications
- DDoS detection in 5G-enabled IoT networks using deep Kalman backpropagation neural network
- Energy-efficient and secure mobile fog-based cloud for the Internet of Things
- Efficient and reliable forensics using intelligent edge computing
- Hybrid energy-efficient algorithm for efficient Internet of Things deployment
- A blockchain-enabled framework for securing connected consumer electronics against wireless attacks
- Credit Card-Not-Present Fraud Detection and Prevention Using Big Data Analytics Algorithms
- Efficient Internet-of-Things Cyberattack Depletion Using Blockchain-Enabled Software-Defined Networking and 6G Network Technology
- Influence of COVID-19 Epidemic on Dark Web Contents
- Quality of Service Generalization using Parallel Turing Integration Paradigm to Support Machine Learning
- Malicious Vehicle Detection Using Layer-Based Paradigm and the Internet of Things
- The Role of Cutting-Edge Technologies in Industry 4.0
- Light Weight Authentication Scheme for Smart Home IoT Devices
- Credit Card-Not-Present Fraud Detection and Prevention Using Big Data Analytics Algorithms
- Quality of Service Generalization using Parallel Turing Integration Paradigm to Support Machine Learning
- Credit Card-Not-Present Fraud Detection and Prevention Using Big Data Analytics Algorithms
- Quantum communication networks: Design, reliability, and security
- Quality of Service Generalization using Parallel Turing Integration Paradigm to Support Machine Learning
- Malicious Vehicle Detection Using Layer-Based Paradigm and the Internet of Things
- Avoidance of Cybersecurity Threats with the Deployment of a Web-Based Blockchain-Enabled Cybersecurity Awareness System
- Blockchain-Enabled Transaction Scanning Method for Money Laundering Detection
- Avoidance of Cybersecurity Threats with the Deployment of a Web-based Blockchain-Enabled Cybersecurity Awareness Model
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