My Research Area

1.       Applied AI in Telecommunications: Leveraging AI to enhance network efficiency, automation, and performance in modern telecom systems.

2.      Generative AI: Exploring innovative applications of GenAI for network optimization, simulation, and intelligent decision-making.

3.      Federated Learning: Advancing privacy-preserving collaborative learning frameworks for distributed systems.

4.      6G Networks and AI Integration: Driving AI-native designs and architectures for next-generation connectivity.

5.      MLOps and Automation: Implementing operational pipelines to streamline AI/ML lifecycle management.

6.      Network Data Analytics (NWDAF): Data-driven insights and optimization through advanced analytics in telecom networks.

7.      Mobility Optimization: AI-enhanced procedures like handovers and Mobility Robustness Optimization (MRO).

8.     AI-Driven Network Automation: Designing autonomous networks with AI to enable seamless operations and adaptability.

9.      Data Processing and Modeling: Developing frameworks for large-scale ETL, data modeling, and insight generation in telecom.

10.  AI Ethics and Governance: Establishing frameworks for responsible AI deployment in regulated and sensitive environments.