Development of Advanced AI and Automation Techniques in Forecasting, Staffing and Scheduling for Workforce Management

Principal investigators: Jesús Sánchez-Oro
Type: R&D Contract Project
Funding entity: Confidential (not disclosed)
Period: May 2025 – February 2026

Description

This R&D contract project focuses on the development of advanced artificial intelligence and automation techniques applied to demand forecasting, staffing planning, and shift scheduling in the context of workforce management. The goal is to improve the efficiency and quality of generated plans by integrating predictive models with optimization algorithms.

For confidentiality reasons, no further information is provided about the contracting entity or the specific details of the project.

Jesús Sánchez-Oro
Jesús Sánchez-Oro
Associate Professor

Associate Professor at the Computer Science Department, being one of the senior researchers of the Group for Research on Algorithms For Optimization GRAFO.