Dr. Abdul Ahad
Accredited Lecturer, Researcher, and Innovator in Computer Science
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About Abdul
Dr. Abdul Ahad is a distinguished computer scientist specializing in advanced networking and cybersecurity. With a Ph.D. from Sunway University, he currently serves as an accredited lecturer at the University of Derby and Shenyang University of Technology. Recognized for his research in 5G smart healthcare and federated learning, he has published extensively and collaborated globally. A mentor to Ph.D. candidates, Dr. Ahad excels in academia and industry, offering invaluable knowledge in modern computing technologies.
Services Offered
Research
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Data Processing
Transforming, organizing, and preparing raw data for analysis, modeling, or integration into systems and workflows.
Scientific and Technical Research
Deep-dive investigation into scientific or technical topics, often involving data analysis, experiment design, and evidence synthesis.
Algorithm Design – ML (Machine Learning)
Development of intelligent algorithms that learn from data, including classification, regression, recommendation systems, and more.
Data & AI
Harness the power of data and artificial intelligence to solve complex problems and enhance decision-making. Our data-driven solutions include predictive analytics, machine learning, and AI development to help you unlock new opportunities, optimize operations, and gain a competitive edge.
Expertise
Professional Summary
With an extensive and diverse career spanning academia and professional practice, this individual serves as an Accredited Lecturer at esteemed institutions like the University of Derby, UK, and Shenyang University of Technology, China, fostering cross-institutional academic exchange. As an Adjunct Scientific Researcher at Istanbul Technical University, they advance research in areas such as 5G Wireless Sensor Networks and IoT security. Their postdoctoral tenures at Universitas Airlangga, Indonesia, and Northwestern Polytechnical University, China, highlight their expertise in integrating machine learning, blockchain, and smart healthcare technologies. Previously, they have held roles such as Assistant Professor leading computer science programs at the University of Management and Technology, Pakistan, and have contributed significantly to educational and administrative sectors in various capacities, including at Sunway University, Malaysia, and the Government of Pakistan's Revenue Department.
Work History
Accredited Lecturer
University of Derby, UK, and Shenyang University of Technology, China
2026 - Present
- Delivered lectures under the Joint Education Program, supported academic exchange under the Joint Education Program, conducted lectures and academic exchange activities, contributed to teaching and academic exchange initiatives, participated in lectures and cross-institutional academic exchange.
Adjunct Scientific Researcher
Istanbul Technical University, Turkey
2022 - Present
- Completed projects in Energy-efficient Routing to Prevent Void Holes in Heterogeneous 5G Wireless Sensor Network Using Game Theory, Trust-Aware Authentication and Authorization for IoT: A Federated Machine Learning Approach, dataset generation for Authentication and Authorization using Physical Layer Properties in Indoor Environment.
Post Doctoral Fellowship
Universitas Airlangga, Indonesia
2024 - 2025
- Completed projects enhancing Smart Healthcare Systems with Machine Learning: A Cardiovascular Disease Prevention, Deep Learning in Smart Healthcare: A GAN-based Approach for Imbalanced Alzheimer’s Disease Classification, Secure Horizons: Integrating Blockchain With AI for Enhanced Smart Healthcare Systems.
Post Doctoral Fellowship
Northwestern Polytechnical University, Xian, China
2023 - 2025
- Completed projects on 5G/B5G-based Internet of Medical Things (IoMT) and Federated Learning, cyber security and smart healthcare applications, wireless communication technologies and Internet of Things (IoT), classification of Vascular Dementia using deep learning, big data-driven smart healthcare approaches, federated deep learning with CNNs.
Assistant Professor
University of Management and Technology, Pakistan
2022 - 2023
- Head of MS(CS), BS(SE) Program. Supervised MS(CS) student thesis on topics such as ransomware detection in cloud computing, malware detection using honeypot with enhanced random forest, enhancing security in 5G Edge Networks. Taught graduate and undergraduate courses: Machine Learning, Deep Learning, Cyber Security, Networking Security, Advanced Operating System.
Visiting Lecturer and Research Assistant
The University of Buner, Pakistan
2020 - 2022
- Conducted teaching to undergraduate, conducting research, and supervising undergraduate and graduate students.
Data Processing Officer
Govt. of Pakistan, Revenue Department
2016 - 2022
- Responsible for data management, information systems, data security, backup and recovery, public dealing.
Teaching Assistant
Sunway University, Malaysia
2019 - 2020
- Conducted research, taught undergraduate students, supervised MS students, and supervised final year projects for graduate students.
Visiting Lecturer
Govt. PG. Jahanzeb College Swat, Pakistan
2016 - 2017
- Taught undergraduate students.
O & A Level Teacher and Network Administrator
The City School Swat Campus, Pakistan
2014 - 2016
- Taught O & A Level students, responsible for network design and implementation, network maintenance.
Network Administrator
Maxtech Institute, Virtual University Campus Mingora, Swat, Pakistan
2013 - 2015
- Responsible for network design and implementation, network maintenance and security.
Education Summary
Dr. has a comprehensive academic background in Computer Science, obtaining a Ph.D. from Sunway University, Malaysia, where his research focused on innovative routing protocol development for 5G-based smart healthcare systems using advanced methodologies such as game theory and reinforcement learning. Prior to this, he completed his M.S. at the Virtual University of Pakistan, where he analyzed dual sink-based scheme protocols for wireless body area sensor networks. His academic journey began with an M.Sc. from Swat University of Pakistan, concentrating on energy-efficient routing protocols in wireless sensor networks. Complementing his technical expertise, he also holds a Bachelor's of Education from Allama Iqbal Open University, Islamabad, Pakistan, emphasizing educational theory, methodologies, and technology.
Education History
Ph.D.
Sunway University, Malaysia
2018 - 2022
Major: Computer Science Thesis: An intelligent clustering-based routing protocol (crp-gr) for 5g-based smart healthcare using game theory and reinforcement learning.
M.S.
Virtual University of Pakistan
2015 - 2017
Major: Computer Science Thesis: Design and performance analysis of DSS (dual sink-based scheme) protocol for WBASNs.
M.Sc.
Swat University of Pakistan
2012 - 2014
Major: Computer Science FYP: Comparison of energy efficient routing protocols in a wireless sensor networks.
Be.D.
Allama Iqbal Open University, Islamabad, Pakistan
2013 - 2014
Major: Bachelor’s of Education - Teaching Methodologies - Educational Theory and Foundations - Educational Technology - Professional Practice and Development - Educational Research
Publications Summary
Abdul Ahad has been prolific in contributing to the fields of machine learning, IoT, and 5G technologies, particularly spotlighting their applications within the healthcare sector. His work includes collaborations with prestigious journals like "IEEE Access" and "Wiley Interdisciplinary Reviews," garnering recognition for high-impact research, notably in federated learning and intelligent healthcare systems powered by 5G and 6G networks. Ahad has played key roles in advancing understanding of privacy-preserving machine learning models and blockchain integration for enhanced security in smart medical systems. His repertoire spans journal articles, conference papers, and edited books published under esteemed publishers such as IGI Global and Elsevier, underscoring his comprehensive approach to addressing contemporary technological challenges and opportunities.
Published Works
Federated learning and 5g/6g-based internet of medical things (iomt): Applications, key enabling technologies, open issues and future research directions
Journal ArticleDynamic weighted federated learning: A scalable and privacy-centric approach to android iot malware detection
Journal ArticleCardiovascular disease prediction using advanced optimization methods in artificial neural networks: Implementation, performance analysis, challenges, and future opportunities
Journal ArticleMachine learning stroke prediction in smart healthcare: Integrating fuzzy k-nearest neighbor and artificial neural networks with feature selection techniques
Journal ArticleEnhancing security in 5g edge networks: Predicting real-time zero trust attacks using machine learning in sdn environments
Journal ArticleFederated convolutional neural networks (f-cnns) for privacy-preserving multi-class skin lesion classification
Journal Article6g and intelligent healthcare: Taxonomy, technologies, open issues and future research directions
Journal ArticleTrust-aware authentication and authorization for iot: A federated machine learning approach
Journal ArticleDataset for authentication and authorization using physical layer properties in indoor environment
Journal ArticleAn optimization on 2d-slam map construction algorithm based on lidar
Journal ArticleController-driven vector autoregression model for predicting content popularity in programmable named data networking devices
Journal ArticleClassification of vascular dementia on magnetic resonance imaging using deep learning architectures
Journal ArticleA survey on emerging trends and applications of 5g and 6g to healthcare environments
Journal ArticleThe revolution and vision of explainable ai for android malware detection and protection
Journal ArticleA comprehensive review on 5g-based smart healthcare network security: Taxonomy, issues, solutions and future research directions
Journal ArticlePerspective—6g and iot for intelligent healthcare: Challenges and future research directions
Journal ArticleSmart energy management system for minimizing electricity cost and peak to average ratio in residential areas with hybrid genetic flower pollination algorithm
Journal ArticleEnergy-efficient joint resource allocation in 5g hetnet using multi-agent parameterized deep reinforcement learning
Journal ArticleUnraveling the inner world of phd scholars with sentiment analysis for mental health prognosis
Journal ArticleAnalysis of popular social media topics regarding plastic pollution
Journal ArticleAn intelligent clustering-based routing protocol (crp-gr) for 5g-based smart healthcare using game theory and reinforcement learning
Journal ArticleMachine learning for authentication and authorization in iot: Taxonomy, challenges and future research direction
Journal ArticleEnergy-efficient ultra-dense 5g networks: Recent advances, taxonomy and future research directions
Journal ArticleTechnologies trend towards 5g network for smart health-care using iot: A review
Journal ArticleTowards energy efficient 5g networks using machine learning: Taxonomy, research challenges, and future research directions
Journal ArticleA review on application of blockchain in 5g and beyond networks: Taxonomy, field-trials, challenges and opportunities
Journal Article5g-based smart healthcare network: Architecture, taxonomy, challenges and future research directions
Journal ArticleDesign and performance analysis of dss (dual sink based scheme) protocol for wbasns
Journal ArticleDesign of secure and traceable requirement engineering process for security-sensitive projects
Journal ArticleComparison of energy efficient routing protocols in wireless sensor network
Journal ArticleSoftware inspections and their role in software quality assurance
Journal ArticleEnhancing smart healthcare systems with machine learning: A cardiovascular disease prevention
Conference PaperAn iot-based framework for infant vital signs monitoring with amazon web services (aws) lambda
Conference PaperSoftware inspections and their role in software quality assurance
Journal ArticleEnhancing smart healthcare systems with machine learning: A cardiovascular disease prevention
Conference PaperAn iot-based framework for infant vital signs monitoring with amazon web services (aws) lambda
Conference PaperHybrid machine learning and deep learning model for efficient ddos attack detection in software-defined networks
Conference PaperEnhancing zero trust security in edge computing environments: Challenges and solutions
Conference PaperBrain-controlled computer tasks for paralyzed persons: Framework overview
Conference PaperDdos attack classification leveraging data balancing and hyperparameter tuning approach using ensemble machine learning with xai
Conference PaperDeep learning in smart healthcare: A gan-based approach for imbalanced alzheimer’s disease classification
Conference PaperIot integration in agriculture: Advantages, challenges, and future perspectives: Short survey
Conference PaperDpidns: A deep packet inspection based ips for security of p4 network data plane
Conference PaperA review of iot applications in smart environments: From smart cities to military integration
Conference PaperEnhancing transparency and trustworthiness of healthcare iot data with aws: A proposed model
Conference PaperImproving accuracy in cloud service provider ranking: Integrating topsis with caiq-based qos assessment
Conference PaperRansomware detection and classification using ensemble learning: A random forest tree approach
Conference PaperEfficient traffic management for resolving traffic congestion on motorways
Conference PaperTransforming diabetes care: A review of iot-based mobile health systems
Conference Paper5g and iot for intelligent healthcare: Ai and machine learning approaches—a review
Conference PaperFederated machine learning in 5g smart healthcare: A security perspective review
Journal ArticleEnergy-efficient routing to prevent void holes in heterogeneous 5g wireless sensor network using game theory
Conference PaperOptimal route selection in 5g-based smart health-care network: A reinforcement learning approach
Conference PaperEnergy-efficient load-aware user association in ultra-dense wireless network
Conference PaperA game theory based clustering scheme (GCS) for 5g-based smart healthcare
Conference PaperCybersecurity for internet of things: Big data optimization for iot-based real-time network traffic analysis
BookSecure horizons: Integrating blockchain with AI for enhanced smart healthcare systems
Book ChapterAI and blockchain applications for privacy and security in smart medical systems
BookIoT and wearable devices: Security challenges and solutions
Book ChapterPrivacy-preserving machine learning models for medical data ensuring security in smart healthcare systems
Book ChapterThe role of artificial intelligence in solar harvesting, storage, and conversion
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Certifications Summary
This individual holds a distinguished portfolio of certifications encompassing various disciplines, notably in education and technology. They have completed "The Art & Science of Teaching and Learning in Higher Education" from the University of Management and Technology, Sialkot, and a "Teaching Certificate" from Allama Iqbal Open University, establishing their expertise in pedagogical practices. Their technical proficiency is further evidenced by completion of the "Machine Learning Specialization" from Stanford University and DeepLearning.AI, "Cloud Networking" from the University of Illinois at Urbana-Champaign, and IBM's "Introduction to Cyber-security Tools and Cyber Attacks" and the "Python for Everybody Specialization" from the University of Michigan, reflecting a robust foundation and ongoing commitment to advancing their skills in emerging technologies.
Certifications
The Art & Science of Teaching and Learning in Higher Education
University of Management and Technology, Sialkot, Pakistan
Machine Learning Specialization
Stanford University and DeepLearning.AI by Coursera
Cloud Networking
University of Illinois at Urbana-Champaign by Coursera
Introduction to Cyber-security Tools and Cyber Attacks
IBM Certified by Coursera
Python for Everybody Specialization
University of Michigan by Coursera
Teaching Certificate
Allama Iqbal Open University, Islamabad, Pakistan
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Member since
2026
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English, Urdu, Phushto
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10.00$
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