Academic Focus

Research

Advancing AI/ML applications in next-generation networks and intelligent systems.

Research Focus

My research applies machine learning and AI to solve complex problems in 6G networks and smart systems. I work at the intersection of telecommunications, deep learning, and optimization theory.

Through this work, I aim to enhance network efficiency, reduce energy consumption, and optimize resource allocation using advanced AI/ML techniques.

Academic Profiles

Google Scholar

ORCID

ResearchGate

Expertise

Research Areas

6G Networks & Intelligent Communication

AI-powered solutions for next-gen wireless networks

Leveraging ML and AI to create efficient, secure, and adaptive communication systems.

• Conflict Management in O-RAN xApps using frameworks like COMIX
• Energy Efficiency Optimization while maintaining QoS
• Network Digital Twins for testing and optimization
• AI-Based Resource Allocation for dynamic conditions

Featured Publication

COMIX: Generalized Conflict Management in O-RAN xApps

Multi-Agent Reinforcement Learning

Cooperative and distributed learning approaches

Developing algorithms for multiple AI agents to learn and work together effectively.

• Distributed Energy Management for smart grids
• Cooperative Learning Protocols for collaborative agents
• Scalable MARL Architectures
• Conflict Resolution between agents with different objectives

Featured Project

Multi-Agent Energy Management System

Smart Systems & IoT

Intelligent infrastructure and resource optimization

Integrating AI and ML into IoT devices and infrastructure for responsive environments.

• Federated Learning for distributed IoT systems
• Intelligent Resource Management
• Predictive Maintenance models
• Context-Aware Applications
• Data-Driven Decision Support systems

Research Collaboration

Open to exploring opportunities in 6G, ML, and smart systems.

Contact Me