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.

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: