Research
Overview
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