PATENT seeks to be a leader in fundamental Artificial Intelligence (AI) research and its applications in healthcare, cybersecurity, and cyber-physical systems. Our faculty and researcher research various AI topics, including: Deep Learning, Reinforcement Learning, Neuro-symbolic computing/Hybrid AI, Knowledge Graph Development, Natural Language Processing, Collaborative Assistants, Multiagent Systems, Brain-inspired computing, Interpretation/Explainability in AI systems.

Interdisciplinary AI and AI applications

PATENT has extensive ongoing collaborations with a significant majority of colleges in the universities and a large number of external organizations. Areas of collaboration and applications include: healthcare/nursing (patient management, hospital management), cyber operations, predictive maintenance for on-road/off-road autonomous vehicles, social good (disinformation/extremism detection), agricultural operations and autonomy, etc. 

Current Research Topics

  1. Development of ML/AI models to Estimate the Health Status of Individual Systems
    • Explainable Machinery Faults Prediction Using Ensemble Tree Classifiers: Bagging or Boosting
    • A Survey of HMM-based Algorithms in Machinery Fault Prediction
    • Deep Learning Approaches to Remaining Useful Life Prediction: A Survey
    • Similarity-Based Methods for Faulty Pattern Detection in Predictive Maintenance
    • Scalability, Explainability, and Performance of Data-Driven Algorithms in Predictive Maintenance: A Comprehensive Review
  2. Soft Computing‐Based Intrusion Detection
    • Explainable Intrusion Detection (X-IDS): Current Methods, Challenges, and Opportunities
  3. Vehicle Performance, Reliability & Operations (VePro)- Analysis to Reduce Costs & Extend Life
  4. Objective-based Manufacturability Assessment for HPC Tradespace Analytics
  5. Hospital Patient Flow Optimization
  6. Game Theory-Based Predictive Analytics: Using Current Dynamics instead of Past Data

Current funded research projects

  • Vehicle Performance, Reliability & Operations (VePro)- Analysis to Reduce Costs & Extend Life
  • Cybersecurity Education Hub-An MSU-MCA Collaborative Project
  • GenCyber: Mississippi State University Student Camp
  • Develop ML/AI models to estimate the health status of individual system
  • Automated Low-Cost Distributed Acoustics Sensing for Perimeter Intrusion Detections using Fiber Bragg Gratings
  • Systems Engineering Analytics

Research projects pending to be funded

  • Enhanced Network Cybersecurity Research: Self-Organizing Maps for Intrusion Detection -
  • A Hybrid Model-Based Approach to Self-Defense of Health Information Systems
  • Large Scale Simulation of Fluid Flow through Porous Media with Quantum Computing

Funding agencies

  • Engineering Research & Development Center (ERDC) (DOD)
  • Appalachian Regional Commission (ARC)
  • National Security Agency (NSA)
  • National Science Foundation
  • United States Department of Defense (DOD)
  • United States Department of Energy (DOE)
  • United States Department of Transportation (DOT)

Research Grants