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, AI-assisted cybersecurity, 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.
Actively looking for motivated graduate students.
Ph.D. in Computer Engineering
New Jersey Institute of Technology, USA
News
- •Mar 2025 — Paper accepted at IEEE TCCN.
- •Jan 2025 — Joined MTSU as Assistant Professor.
- •Nov 2024 — Paper accepted at IEEE TNSM.
- •Sep 2024 — Invited reviewer for IEEE IoT Journal.
- •Jun 2024 — Two papers accepted at IEEE IoT Journal.
Focus Areas
Research
AI-Assisted Cybersecurity
Intelligent threat detection and automated defense leveraging ML for distributed edge computing environments.
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.