Published in TechRxiv [Preprint], 2026
A comprehensive conceptual framework unifying core AI functionality with implementation approaches for autonomous agentic AI systems across different system scales.
Recommended citation: SS Gill, SS Murugesan, KA Anurag, et al. "Agentic AI: Vision and Challenges," TechRxiv, January 2026. DOI: 10.36227/techrxiv.176779782.20689880/v1
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Published in Cluster Computing, 2025
A comprehensive taxonomy and systematic review of Edge AI, covering architectures, applications, and future research directions.
Recommended citation: SS Gill, M Golec, J Hu, M Xu, J Du, H Wu, GK Walia, SS Murugesan, B Ali, et al. "Edge AI: A Taxonomy, Systematic Review and Future Directions," Cluster Computing 28, 18 (2025). DOI: 10.1007/s10586-024-04686-y
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Published in IEEE Transactions on Cognitive Communications and Networking, 2024
A Generative AI-enabled proactive container orchestration framework for heterogeneous edge computing with dynamic scaling and migration capabilities.
Recommended citation: B Ali, M Golec, SS Murugesan, H Wu, SS Gill, F Cuadrado, S Uhlig. "GAIKube: Generative AI-Based Proactive Kubernetes Container Orchestration Framework for Heterogeneous Edge Computing," IEEE Transactions on Cognitive Communications and Networking (2024). DOI: 10.1109/TCCN.2024.3508771
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Published in Cluster Computing, 2024
An AI-based testbed for cloud computing environments employing DeepAR for robust CPU usage forecasting and cost-effective resource allocation.
Recommended citation: S Velu, SS Gill, SS Murugesan, H Wu, X Li. "CloudAIBus: A Testbed for AI Based Cloud Computing Environments," Cluster Computing 27, 11953–11981 (2024). DOI: 10.1007/s10586-024-04562-9
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Published in IEEE Journal of Biomedical and Health Informatics, 2024
A neural networks-based smart e-health application for predicting Tuberculosis using serverless computing, comparing CNN architectures with transfer learning.
Recommended citation: SS Murugesan, S Velu, M Golec, H Wu, SS Gill. "Neural Networks Based Smart e-Health Application for the Prediction of Tuberculosis Using Serverless Computing," IEEE Journal of Biomedical and Health Informatics 28(9), 5765-5776 (2024). DOI: 10.1109/JBHI.2024.3367736
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Published in European Conference on Antennas and Propagation (EuCAP 2026) [Accepted], 2026
An anchor-aware flow matching approach to improve RF localization robustness for wireless capsule endoscopy while maintaining consistency with anchor geometry and measurements.