Optimization & Scheduling
From production scheduling to supply-chain networks, we develop algorithms that improve throughput and reduce cost.
Optimization · Machine Learning · Smart Manufacturing
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.
High-fidelity simulation environments for testing, validation, and chaos engineering of industrial systems.
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.