Research Group
ASQI Lab
Autonomous Systems and Quantum Intelligence Laboratory
Directed by Dr. Mohammad Arif Hossain, Department of Engineering Technology, Middle Tennessee State University
The lab brings together graduate students and collaborators working on the boundary between intelligent systems and next-generation networks. Current work spans agentic AI safety, distributed and collaborative learning, mobile edge intelligence, and quantum-assisted approaches to hard optimization problems in next-generation networks.
What we work on
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
Collaborative and privacy-aware distributed learning architectures that enable 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 networks.
Current members
Dr. Mohammad Arif Hossain
Principal Investigator
Sharmin Milu
PhD in Computational Science, since Fall 2025
Tanzimul Fahim
PhD in Computational Science, since Fall 2026
Matthew Radice
PhD in Computational Science, since Fall 2026
Yeahia Sarker
MSc in Engineering Technology, since Spring 2026
Most. Humaira Rime
MSc in Engineering Technology, since Fall 2026
Md Shahariar Islam Shanto
MSc in Engineering Technology, since Fall 2026
Join the lab
We are seeking motivated M.S. students interested in Quantum-assisted Machine Learning and Autonomous Systems. See the students page for requirements and how to apply.