ML Assisted Feedback Mechanism for TCP Congestion Control in Next Generation Wireless Networks. - Vasanth Kanakaraj; Shreyanshu Agarwal; P. Keerthi Priya; Vishal Murgai; Issaac Kommineni (ANTS, 2022)

Call Mute Reduction by Reinforcement Learning Based Deployment of ROHC in Next Generation Networks. - Veerabhadrappa M. Gadag; Swaraj Kumar; Vishal Murgai; Siva Kumar Mummadi (GLOBECOM (Workshops), 2022)

Recurrent Neural Network Architecture for Communication Log Analysis. - Swaraj Kumar; Vishal Murgai; Devashish Singh; Issaac Kommineni (PIMRC, 2022)

Cloud RAN Based Privacy Preserving Federated Cross Domain Anomaly Detection in IoT Devices Logs. - Zarka Bashir; Swaraj Kumar; Vishal Murgai; Sukhdeep Singh (GLOBECOM (Workshops), 2023)

Non-Deterministic and Semi-Supervised Log-based Anomaly Detection. - Swaraj Kumar; Vishal Murgai; Zarka Bashir; Sukhdeep Singh (GLOBECOM (Workshops), 2023)

Light Weight AI: Representing ML Inference as Efficient Mathematical Relations for Embedded RAN Devices. - Swaraj Kumar; Vishal Murgai; Sukhdeep Singh (GLOBECOM, 2023)

Federated Learning Framework for Dynamic Power Management in RAN Data Plane Systems. - Vishal Murgai; Srihari Das Sunkada Gopinath; Swaraj Kumar (WCNC, 2023)

Energy-Efficient Low-Complexity Power Management in Multi-Core RAN Systems. - Srihari Das Sunkada Gopinath; Swaraj Kumar; Vishal Murgai (ICC Workshops, 2024)

Enhancing Security and Reliability in Distributed Systems: A Hybrid Approach Integrating Snort Rules and Machine Learning for Anomaly Detection. - Vishal Murgai; Roxy Stimpson; Ravi Sankar Mantha (SRDS, 2024)

YANG Data Model for TCP. - Michael Scharf; Mahesh Jethanandani; Vishal Murgai (RFC, 2024)

Securing the Metaverse: Traffic Application Classification and Anomaly Detection. - Vishal Murgai; Venkata Rama Raju Lolabhattu; Roxy Stimpson; Eishita Tripathi; Shiva Chickala (WoWMoM, 2025)