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.