Papers

1

Total Citations

70

H-Index

1

About

Guneet Kaur Walia is a prominent researcher at the intersection of artificial intelligence, cloud-fog computing, and the Industrial Internet of Things (IIoT). Her work focuses on developing intelligent, sustainable frameworks to address the latency and efficiency challenges of next-generation industrial systems, including Industry 5.0, smart communications, and robotics. Her most cited paper, “AI-Based Sustainable and Intelligent Offloading Framework for IIoT in Collaborative Cloud-Fog Environments” (2023, 70 citations), proposes a novel approach to offloading computational tasks in latency-sensitive IIoT applications, bridging the gap between cloud services and real-time industrial demands. This work has been recognized for its potential to enhance operational efficiency in sectors like oil and gas and automotive manufacturing. Walia’s contributions are shaping the future of decentralized, AI-driven industrial automation, earning her a growing reputation among scholars and practitioners. Her research not only advances theoretical understanding but also offers practical solutions for sustainable, intelligent infrastructure in collaborative cloud-fog environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
70
Total Citations
70
Avg Citations/Paper
🏆 Most Cited Paper
AI-Based Sustainable and Intelligent Offloading Framework for IIoT in Collaborative Cloud-Fog Environments
70 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Dr. B. R. Ambedkar National Institute of Technology Jalandhar

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago