Adaptive Sampling for Ergonomic Risk Mapping: Efficient Discovery of High-Risk Regions in Anthropometry–Workstation Design Spaces

Project Details

• Student(s): Elena Haj, Georges Chaccour, Selena Samarani
• Advisor(s): Dr. Maha Yazbeck
• Department: Industrial & Mechanical
• Academic Year(s): 2025-2026

Abstract

This project develops an efficient approach for identifying ergonomic risk across combinations of human anthropometry and workstation design. The resulting risk maps are intended to support safer and more inclusive workstation design decisions.