Gagangeet Singh Aujla

Durham University

Papers

1

Total Citations

4

H-Index

1

About

Dr. Gagangeet Singh Aujla is a leading researcher at the intersection of cybersecurity, artificial intelligence, and next-generation healthcare systems. His work primarily focuses on securing critical infrastructures through explainable AI, with a particular emphasis on Healthcare 4.0 and the Internet of Medical Things (MIoT). His highly cited paper, "X-NET: Explainable AI-Based Network Data Security Framework for Healthcare 4.0," introduces a novel framework that leverages explainable artificial intelligence to protect remote patient monitoring systems, addressing the growing vulnerabilities in connected medical devices. This contribution is pivotal as it bridges the gap between robust security and transparent, interpretable AI decisions—a critical requirement in clinical settings. With his research garnering significant attention, Dr. Aujla’s work has been instrumental in demonstrating how AI can be both powerful and trustworthy in safeguarding sensitive health data. His achievements reflect a deep commitment to advancing secure, intelligent, and patient-centric digital health ecosystems, making him a key figure in the evolution of resilient cyber-physical systems for modern medicine.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
X-NET: Explainable AI-Based Network Data Security Framework for Healthcare 4.0
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Durham University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago