Assistant Professor
Mohammad Arif Hossain
Department of Engineering Technology · Middle Tennessee State University
Dr. Mohammad Arif Hossain is an Assistant Professor in the Department of Engineering Technology at Middle Tennessee State University. His research broadly focuses on distributed edge intelligence, Agentic LLM Security, Quantum-assisted ML, and AI-native next-generation networks. He has published extensively in top-tier IEEE journals and serves as a reviewer for leading venues in communications and networking. He is a Member of IEEE.
Ph.D. in Computer Engineering
New Jersey Institute of Technology, USA
News
- •Apr 2026 — Paper accepted at IEEE TCCN
- •Sep 2025 — Paper accepted at IEEE ICIP
- •Jun 2025 — Paper accepted at IEEE TCCN
- •Aug 2024 — Joined MTSU as Assistant Professor
- •Feb 2024 — Paper accepted at IEEE TNSM
- •Jun 2023 — Paper accepted at IEEE TCC
- •Mar 2023 — Paper accepted at IEEE TVT
- •Jan 2023 — Paper accepted at IEEE TCC
- •Oct 2021 — Paper accepted at IEEE TCC
- •May 2021 — Paper accepted at IEEE TGCN
Focus Areas
Research
Agentic LLM Security
Securing agentic LLM systems against prompt injection, tool misuse, and adversarial manipulation, with autonomous defense for multi-agent workflows.
Distributed Machine Learning
Federated and collaborative learning architectures that enable private, efficient model training across edge nodes.
Edge Intelligence & IoT
Optimizing computation offloading, resource allocation, and scheduling for mobile edge computing in heterogeneous IoT environments.
Generative AI
Generative models for network management, synthetic data, and intelligent automation in communication systems.
AI-Native 6G Networks
Integrating AI/ML natively into 5G/6G architectures for adaptive slicing, ISAC, and self-optimizing radio access.
Quantum-Assisted ML
Quantum computing paradigms to accelerate ML model training and optimization in next-generation wireless systems.