Assistive Intelligence for Cooperative Robot inspection survey of infrastructure systems

The project seeks to investigate training and conducting of bridge inspection using drone technologies. The primary focus is on understanding detailed human behavioral markers based on biometric measurements (eye tracking, EEG) to predict and improve system behavior. Student researchers will conduct experiments with volunteer subjects, and perform data analytics on related outcomes. 

Name of research group, project, or lab
Human Analytics Lab
Why join this research group or lab?

Current students are designing experiments, designing simulations in Unity, and using machine learning to predict human behaviors. Looking for strong self-motivated students to model collected data using both statistical and ML approaches. 

Representative publication
Logistics Information:
Project categories
Engineering
Human-Computer Interaction
Student ranks applicable
Sophomore
Junior
Senior
Student qualifications

Demonstrated excellence in at least one area including  statistical modeling, Machine Learning, Coding in Python, Matlab and R. Self motivation is crucial. 

Time commitment
Fall - Part Time
Spring - Part Time
Summer - Full Time
Compensation
Academic Credit
Paid Research
Number of openings
1
Techniques learned

Use of professional biometric hardware/software

Human performance study design

Practical Application of machine learning to individual data 

 

Project start
Spring 2025
Contact Information:
Mentor
dnembhard@hmc.edu
Professor & Principal Investigator
Name of project director or principal investigator
David Nembhard
Email address of project director or principal investigator
dnembhard@g.hmc.edu
1 sp. | 0 appl.
Hours per week
Fall - Part Time (+2)
Fall - Part TimeSpring - Part TimeSummer - Full Time
Project categories
Engineering (+1)
EngineeringHuman-Computer Interaction