By: Mae Cornes
Harish Narne‘s received the 2025 Global Recognition Award for his scholarly work in artificial intelligence, cybersecurity, cloud computing, and enterprise technology. The Global Recognition Awards program recognizes individuals for notable achievement, innovation, and professional impact in their respective fields. Its selection process is highly selective, with only about 4% of applicants receiving an award in 2024. Shortlisted candidates are evaluated by a panel of industry experts and judges using the Rasch model, with consideration given to factors including innovation, impact, leadership, and sustainability.
Much of Narne’s work focuses on a growing challenge in modern computing, applying artificial intelligence and machine learning in environments where security, reliability, and real-time responsiveness are critical. His research and innovations address areas including secure data processing, adaptive threat detection, IoT cybersecurity, cloud security, and the use of intelligent systems to respond to increasingly complex technological risks.
Narne’s work also extends beyond individual research papers through his book, “Foundations of Cybersecurity: Principles, Practices, and Case Studies.” The book brings together key cybersecurity principles, practical approaches, and case-based perspectives relevant to modern computing environments. It also covers topics closely related to his research, including IoT security, cloud security, information security, and cryptographic methods.
Research Advancing Secure and Intelligent Computing
Narne’s published research focuses on problems at the intersection of artificial intelligence, cybersecurity, cloud computing, and data systems.
His publication “Enhancing IoT Cybersecurity with Graph Neural Networks: Advanced Anomaly Detection and Threat Mitigation” examines how graph neural networks can be used to identify unusual activity and potential threats in Internet of Things environments.
IoT systems can be difficult to secure because large numbers of connected devices continuously exchange information across networks. As those environments grow, security monitoring becomes more complex, particularly when systems need to distinguish ordinary behavior from suspicious activity.
Narne’s research looks at how graph-based machine-learning methods can help analyze relationships among connected devices and support anomaly detection and threat analysis. The study applies advanced AI methods to a cybersecurity problem that continues to grow in importance as connected devices become more common across homes, businesses, infrastructure, and industrial environments.
His work also extends to cloud security.
In “Adaptive Security Model for Cloud Platforms Based on Information Security and Cryptographic Protocols,”Narne examines how information-security principles and cryptographic protocols can be used together to strengthen cloud environments.
Cloud systems introduce a different set of security concerns, including access control, data protection, communication security, and changing threat conditions. These challenges often cannot be addressed through a single safeguard. They require several layers of protection working together across the same environment.
Narne’s research examines how those protections can be incorporated into cloud systems that must remain available and reliable while adapting to new risks.
Together, the two studies show a consistent interest in secure and intelligent computing. One looks at anomaly detection across connected devices, while the other considers how broader security controls can be structured within cloud platforms. Both address the challenge of protecting systems that are becoming more distributed, interconnected, and dependent on data.
Extending Technical Knowledge Through Authorship
Narne has also contributed to the field through technical authorship.
His book, “Foundations of Cybersecurity: Principles, Practices, and Case Studies” (ISBN-13: 978-8198403483), presents cybersecurity from both a foundational and practical point of view.
The book brings together concepts that are relevant to cloud systems, connected devices, data platforms, automation, and artificial intelligence. It is closely connected with Narne’s research interests in IoT cybersecurity, cloud security, information security, and cryptographic protocols.
Research papers typically focus on a specific technical question. A book allows for a broader treatment of the field by bringing together principles, practical considerations, and examples in one place.
Through this work, Narne extends his contribution beyond individual research studies and provides a wider discussion of cybersecurity concepts and how they are applied across different computing environments.
The book also reflects the same practical orientation seen in his research. Cybersecurity is not only about identifying technical vulnerabilities; it also requires understanding how systems, users, networks, applications, and data interact.
By addressing both foundational principles and practical cases, the book gives Narne a different way to contribute to the field and to share technical knowledge beyond the narrower scope of an individual journal or conference paper.
Scholarly Leadership Through Peer Review
Narne’s involvement in research goes beyond publishing his own work.
He has served as a Technical Program Committee member for multiple conferences and has reviewed more than 100 research papers across conferences and international journals.
This work requires the careful evaluation of methodology, technical relevance, supporting evidence, clarity, and conclusions. It also gives Narne a different role within the research process, as an author, he develops and supports technical ideas; as a reviewer, he independently assesses the work of other researchers.
His reviewing activity has also exposed him to developing approaches across artificial intelligence, cybersecurity, cloud computing, machine learning, and related areas of technology.
Recognition for a Broader Body of Work
Narne’s 2025 Global Recognition Award acknowledges a body of work that spans research, technical authorship, and continued participation in the academic community.
Across these areas, his work has remained focused on secure and intelligent computing, especially the practical challenges involved in applying artificial intelligence, machine learning, cloud technologies, and cybersecurity in real-world environments.
His published research contributes to ongoing technical discussions around connected systems, cloud security, and adaptive approaches to protecting data, while his book extends that work through a broader treatment of cybersecurity principles and practices. His involvement in peer review adds another dimension by placing him in the process of evaluating new research produced by others.
Together, these contributions show a consistent commitment to both developing technical knowledge and helping strengthen the research process around it.
The 2025 Global Recognition Award reflects that broader contribution and Narne’s continued work across artificial intelligence, cybersecurity, cloud computing, and enterprise technology.
