Algorithm to Action

URI Industrial & Systems Engineering

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.

Mission

Applying optimization, machine learning, and systems engineering to advance manufacturing, logistics, and industrial infrastructure.

Top-down view of the Industry 4.0 testbed table with collaborative robot arms, conveyor modules, and camera monitors
The Industry 4.0 testbed in the capstone room: collaborative arms, conveyor modules, and vision stations on a reconfigurable table.

Optimization & Scheduling

From production scheduling to supply-chain networks, we develop algorithms that improve throughput and reduce cost.

Machine Learning & Data

Genetic algorithms, computer vision, and predictive models for manufacturing process control and quality assurance.

Exterior of the Fascitelli Center for Advanced Engineering at URI, with its glass facade and landscaped entry steps
The Fascitelli Center for Advanced Engineering, home of URI's College of Engineering.

Research Areas

Six integrated threads spanning algorithms, hardware, and data infrastructure.

Digital Twins

High-fidelity simulation environments for testing, validation, and chaos engineering of industrial systems.

Smart Mfg & CNC

GCode interception, sensor-rich machining, and custom tooling fabrication on in-house equipment.

Optimization

Production scheduling, multi-agent coordination, and genetic ML algorithms for process control.

Vision & QC

Computer vision for real-time defect detection, dimensional measurement, and robotic pick-and-place.

Data & IIoT

End-to-end sensor data pipelines, SCADA integration, and real-time operational dashboards.

Cyber-Physical

Resilient edge architectures, testbed orchestration, and secure operation under degraded connectivity.

Graduate Certificate in Industry 4.0

A 12-credit, fully online credential for working professionals.

12 Credits · 4 Courses

A focused, stackable credential covering IIoT, machine learning, MES, and special projects.

100% Online

Complete the certificate entirely online — designed around the schedules of working professionals.

Career-Ready Skills

Industry-aligned knowledge in smart manufacturing, data analytics, and cyber-physical systems.