Mohammad Arif Hossain
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Lab Research

Projects

Research initiatives in the lab.

Agentic AI for UAV

Developing agentic AI frameworks that enable UAVs to autonomously plan, reason, and coordinate missions in dynamic airspace and edge environments.

UAVAgentic AILLM

Agentic LLM Security

Securing agentic LLM systems against prompt injection, tool misuse, and adversarial manipulation, with autonomous defense for multi-agent workflows.

LLM SecurityAgentic AIAdversarial ML

AI-Native 6G Network

Integrating AI/ML natively into 6G network layers for adaptive resource management, dynamic network slicing, and integrated sensing and communication (ISAC).

6GNetwork SlicingISAC

Quantum-Assisted ML for Next-Generation Networks

Exploring quantum and hybrid quantum-classical ML algorithms to accelerate training, enhance expressivity, and tackle optimization bottlenecks in next-generation networks.

Quantum MLHybrid ComputingOptimization
© 2026 Mohammad Arif HossainDepartment of Engineering Technology, Middle Tennessee State University