Industrial Engineering Projects
For any inquiries, please contact Dr. H. Parker, Managing Director of Global Engineering Programs and Partnerships.
Sensors and AI Applications for Human Factors Engineering
Faculty Name: Denny Yu
E-Mail: dennyyu@purdue.edu
Project Term: Spring 2026
Project Description:
Physiological sensing allows for unique insights into human behavior in real-time. This quantitative approach to human factors engineering promises to enhance how humans interact with AI-enabled systems through the creation of user-aware, adaptive systems that consider constructs linked to safety and performance. This project will allow students to get hands-on experience with physiological sensing collection and analysis techniques and their application to human-human / human-robot / human-AI teaming.Requirements:
Prior human subject research experience is preferred but not required.
Prior experience with physiological sensing, either collection or analysis, is sought but not required.
A strong interest in understanding how humans interact with their environment and how sensor-based approaches can be used to objectively model this is required.
Quantum-amenable formulations for discrete optimization problems in engineering
Faculty Name: David E. Bernal Neira
E-Mail: dbernaln@purdue.edu
Project Term: Spring 2026
Project Description:
This project will consider the formulation and solution of engineering applications (chemical superstructure optimization, optimal power flow) using quantum-enhanced methods. We will learn, through libraries in Python and Julia, how to address these problems and efficiently solve them.Requirements:
Required: Programming background (Python) and linear algebra.
Preferable: Linear, nonlinear, and/or integer programming experience, programming background (Julia)
No previous experience in quantum computing required.