Ohio State’s PhD in Industrial and Systems Engineering equips researchers to improve efficiency, safety, and intelligence across complex systems. Areas of emphasis include operations research, human factors, healthcare systems, manufacturing, and data analytics. Graduates lead innovation in academia, defense, logistics, and high-tech industry through advanced modeling, AI integration, and optimization.
Multi-objective optimization for vaccine distribution logistics under uncertainty
Design of cognitive load-aware interfaces for air traffic controllers
AI-based root cause analysis in high-mix manufacturing environments
Agent-based simulation of emergency evacuations in high-rise buildings
Workflow optimization in hospital ICUs using queuing theory and simulation
Developing fatigue risk management systems for long-haul truck drivers
Human-in-the-loop control systems for collaborative industrial robotics
Bayesian decision models for dynamic pricing in e-commerce platforms
Modeling risk propagation in global semiconductor supply chains
Predictive scheduling of surgical teams using historical EHR data
Trust calibration in autonomous vehicle handoff scenarios
Ergonomic design analysis of home workstations using motion capture data
Inventory control for perishable goods using reinforcement learning
Gamified training systems for assembly line worker skill development
Simulation-based resilience planning for cyber–physical infrastructure
Quantitative models for balancing equity and efficiency in public resource allocation
Visual analytics dashboards for system-wide performance monitoring in logistics
Discrete-event simulation of airport security screening throughput
Dynamic assignment algorithms for gig economy workforce scheduling
Development of hybrid digital twins for real-time factory optimization
Engineer future-ready systems through OSU’s cutting-edge ISE PhD.
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