The PhD in Industrial and Systems Engineering at UF emphasizes optimization, operations research, data analytics, and systems design. Students conduct research in areas such as logistics, healthcare operations, supply chain management, human factors, and resilience engineering. Graduates pursue impactful careers in academia, national labs, and industry innovation.
Dissertation on machine learning-augmented scheduling for high-mix manufacturing
Heuristic optimization of drone delivery networks for emergency medical supplies
Simulation modeling of patient flow in surgical units with uncertain demand
Resilience modeling of critical infrastructure systems under cascading failures
Human factors analysis in autonomous vehicle control interface design
Study of gamification in workforce training systems for logistics operations
Operations strategy for energy-efficient warehouse layout and routing
Modeling and analysis of queuing networks in last-mile delivery systems
Multicriteria optimization of product configuration under customer preference uncertainty
Thesis on equity-aware resource allocation in disaster response logistics
Human-in-the-loop design of decision support tools for clinical triage
Performance evaluation of stochastic inventory models with dual sourcing
Design of adaptive decision algorithms for smart grid energy allocation
Agent-based modeling of crowd movement in large-scale event evacuation
Thesis on risk-aware scheduling under cyber-physical disruptions
Optimization of vaccine distribution using integer programming models
Modeling digital twin systems for predictive maintenance in aerospace manufacturing
Study of fairness in AI-driven workforce management systems
Thesis on resilient multi-echelon supply chain network design under climate disruptions
Time-series forecasting of demand spikes in e-commerce systems using neural networks
Engineer smart, adaptable systems through doctoral research in industrial optimization and human-centered design.
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