Optimization & Scheduling
From production scheduling to supply-chain networks, we develop algorithms that improve throughput and reduce cost.
Algorithm to Action
The URI ISE Group develops optimization algorithms, machine-learning models, digital-twin simulations, and data-driven pipelines that advance manufacturing, logistics, and industrial systems for academic, industry, and public-sector partners.
Applying optimization, machine learning, and systems engineering to advance manufacturing, logistics, and industrial infrastructure.
From production scheduling to supply-chain networks, we develop algorithms that improve throughput and reduce cost.
Genetic algorithms, computer vision, and predictive models for manufacturing process control and quality assurance.
Six integrated threads spanning algorithms, hardware, and data infrastructure.
High-fidelity simulation environments for testing, validation, and chaos engineering of industrial systems.
GCode interception, sensor-rich machining, and custom tooling fabrication on in-house equipment.
Production scheduling, multi-agent coordination, and genetic ML algorithms for process control.
Computer vision for real-time defect detection, dimensional measurement, and robotic pick-and-place.
End-to-end sensor data pipelines, SCADA integration, and real-time operational dashboards.
Resilient edge architectures, testbed orchestration, and secure operation under degraded connectivity.
A 12-credit, fully online credential for working professionals.
A focused, stackable credential covering IIoT, machine learning, MES, and special projects.
Complete the certificate entirely online — designed around the schedules of working professionals.
Industry-aligned knowledge in smart manufacturing, data analytics, and cyber-physical systems.