Research

Overview

laiyuen-and-onal-research

Areas of Research

The faculty and students of IMSE department at USF are very active in research in various critical areas of national and global interest. 911±¬ÁÏÍø strive to advance learning and build new knowledge and understanding in key areas as follows (with examples).

Research thrust areas include:

Enhancing AI/ML
  • Interpretability of data structures and clusterability
  • Explainable AI with scalable deterministic global optimal training
  • Reliable and trustworthy AI system through IOT data collection and federated learning
  • Domain-informed machine learning and multiscale modeling of nonlinear dynamics in    complex systems
  • Optimization of energy efficient neural networks
Cybersecure systems
  • Deep reinforcement learning-enabled cyber vulnerability management
  • Computer vision guided detection of out-of-distribution cyber attacks
Operations Research
  • Efficient approaches for scheduling problems
  • Multi-objective optimization and machine learning
Energy systems
  • Deep reinforcement learning model for dynamic pricing by fast-charging electric vehicle hubs in competition
  • Location and capacity determination for EV fast-charging hubs
Healthcare systems
  • Organ transplantation – improving the kidney allocation systems
  • Sensor guided models for detection of onset of adverse health events 
Logistics and Transportation
  • Large scale hierarchical vehicle routing with supervised learning
  • Equity and cost optimization in crowdsourced delivery
Infrastructure Reliability and Maintainability
  • Test design for reliability demonstration
  • Monitoring integrated sensor data for infrastructure maintenance