Undergraduate Research Projects in Human Systems Engineering

Below is a list of the current undergraduate research projects in human systems engineering:

Boyi Hu, Ph.D.

Human motion analysis and activity recognition with multiple sensing technologies (multiple projects)

Department:  Industrial and Systems Engineering
Email: boyihu@ise.ufl.edu
Ph.D. Student Mentor(s): TBD based on project and availability
Terms Available: Fall, Spring, Summer
Student Level: Freshman, Sophomore, Junior, Senior, 2-3 students per semester.
Prerequisites:  Projects can be designed per student’s interest and background. Students considering graduate school are especially courage to apply. Desired skills include experiences working with human subjects (patient or aging population), good communication skill, coding fundamentals, basic data processing and statistical analysis experience.
Credit:  0-3credits via EGN 4912
Stipend: None unless selected for University Scholars for the 1st semester; then $12/hour up to 10 hours per week
Application Requirements: Resume, UF unofficial transcripts, statement of research interest, faculty interview, email one pdf file of requirements to Boyi Hu
Application Deadline: Applications are accepted on a rolling basis
Project Description: My lab works on identifying pathways that influence and improve human health. Our innovative research approach utilizes a systems framework that is driven by design of tools with the goal of improving human well-being and system performance. The primary outcome of much of my research is the prevention of work-related injuries and musculoskeletal disorders (MSDs). My research study designs are both observational/descriptive and experimental, based in both the laboratory and the real work environment. Current top priorities currently: (a) falling injury prevention for aging population and typical working groups; (b) implementation of wearable sensing technology in healthcare and rehabilitation area.

Validating the use of wearable technology and machine learning for exposure assessment of workers to uneven surfaces

Department:  Industrial and Systems Engineering, Computer and Information Science and Engineering, & Electrical and Computer Engineering
Email: boyihu@ise.ufl.edu
Ph.D. Student Mentor(s): TBD based on project and availability
Terms Available: Fall, Spring, Summer
Student Level: Junior, Senior, 1-2 students per semester.
Prerequisites:  Project details can be developed based on student’s interest and background. Students considering graduate school are especially courage to apply. Prerequisite skills include: 1) at least 1 year of programming experience (Matlab or Python preferred); 2) signal processing fundamentals; 3) machine learning fundamentals
Credit:  0-3credits via EGN 4912
Stipend: $12/hour up to 20 hours per week
Application Requirements: Resume, UF unofficial transcripts, statement of research interest, faculty interview, email one pdf file of requirements to Boyi Hu to request an interview
Application Deadline: N/A
Project Description: The two main goals of this pilot project proposal are to: 1) determine if workers’ gait behavior as measured by wearable sensors in real workplace differs significantly on different walking surfaces experienced by typical workers; and, 2) determine if artificial deep learning network algorithms can detect walking surface categories using signals from wearable sensors mounted on workers’ body during typical walking tasks.

Human-Aware Path Planning and Avoidance for Better Human-Robot Interaction

Department:  Industrial and Systems Engineering
Email: boyihu@ise.ufl.edu
Ph.D. Student Mentor(s): Yuhao Chen
Terms Available: Fall, Spring, Summer
Student Level: Junior and Senior
Prerequisites: Familiarity with ROB system; or
Have experience in 3D print prototyping (solidworks etc.); or
Have experience in electronic prototyping; or
Have experience in computer vision (OpenCV, PCL, etc.); or
Have experience in machine learning (prefer TensorFlow with TensorFlow); and
Have passion for cool research projects
Credit:  0-3 credits via EGN 4912
Stipend: none unless selected for University Scholars the 1st semester. Subsequently, based on the performance, $10 per hour up to 10 hours per week. In addition, faculty mentor will assist mentee in seeking college or federal fellowship (e.g. NSF graduate research fellowship).
Application Requirements: Resume, UF unofficial transcripts, statement of research interest, faculty interview, and sample work; email one pdf file with all application requirements to Boyi Hu
Application Deadline: N/A
Project Description: The primary aim of the current study is to investigate how mobile robots’ path planning and collision avoidance modes (human-aware or robot-centered) affect human safety perception, perceived workload, job performance and human-robot collaboration fluency in a mock up warehouse setting with a fully autonomous robot. With robot-human ratio approximately 1:1 and plenty of state-of-the-art Human Factor and Ergonomics research devices, my lab welcomes all talented students to work with me on human-robot interaction projects.

Nicholas Napoli, Ph.D.

Aeromedical Research: Hypoxia Sensitivity

Department: Industrial and Systems Engineering
Email: n.napoli@ufl.edu
Ph.D. Student Mentor(s): N/A
Terms Available: Fall, Spring, Summer
Student Level: Freshman, Sophomore, Junior, or Senior
Prerequisites: Looking for students motivated in learning statistics, signal processing, machine learning and physiology.
Credit: 0-3 credits via EGN 4912
Stipend: none unless selected for University Scholars
Application Requirements: Statement of Research Interest and Faculty Interview; Email Nicholas Napoli directly or stop by the office Weil 446
Application Deadline: N/A
Project Description: For this Undergraduate Research Assistant position, we are seeking a motivated student who is interested in aero-medical research. Our primary research goal is to understand how heart rate dynamics can be used to evaluate the sensitivity of pilots becoming severely hypoxic, a condition which can lead to catastrophic consequences in the air. Specifically, we are exploring how Premature Ventricular Contractions (PVCs) within Electrocardiogram (ECG) Telemetry data could indicate a pilot’s sensitivity to hypoxia. Initial work for Undergraduate Research Assistant would include annotating ECG data, applying standard statistical analyses, and possibly more executing advanced machine learning methods. If interested, contact Dr. Nicholas Napoli ( n.napoli@ufl.edu ) with a statement of interest and a resume or visit the office in Weil 446A