Research Projects

Projects are posted below; new projects will continue to be posted through February. To learn more about the type of research conducted by undergraduates, view the 2017 Research Symposium Abstracts.

This is a list of research projects that may have opportunities for undergraduate students. Please note that it is not a complete list of every SURF project. Undergraduates will discover other projects when talking directly to Purdue faculty.

You can browse all the projects on the list, or view only projects in the following categories:

Industrial Engineering

 

Hololens Augmented Reality based Ultrasound Imaging

Research categories:  Bioscience/Biomedical, Computational/Mathematical, Computer Engineering and Computer Science, Industrial Engineering
School/Dept.: Industrial Engineering
Professor: Juan Wachs
Preferred major(s): CS, ECE, ME, IE
Desired experience:   Very good programming skills. Experience in computer graphics and vision is an advantage.

The project consists of using an ultrasound on a patient simulator and observe the medical imaging on an augmented reality headset (Hololens). This information will be used for teleconsultation.

 

Human Factors in Healthcare-Wearable Sensing and Workload

Research categories:  Bioscience/Biomedical, Industrial Engineering
School/Dept.: Industrial Engineering
Professor: Denny Yu
Preferred major(s): IE, BME, or CS
Desired experience:   human subject research, field observations, matlab, sensors

Healthcare, specifically surgical and emergency care, is provided in a complex environment that impact patient and provider safety. Identifying best practices in technique, designing ergonomic medical devices, and quantifying the dynamic changes in workload in these environments remain a challenge. This summer research project will cover three areas of studies: measuring surgical techniques, wearable devices for healthcare, and quantifying clinician workload.

 

Virtual Reality Robotic Model using Gaming Technologies

Research categories:  Bioscience/Biomedical, Computational/Mathematical, Computer Engineering and Computer Science, Industrial Engineering
School/Dept.: Industrial Engineering
Professor: Juan Wachs
Preferred major(s): ECE, CS
Desired experience:   Very good programming skills

The student will have to develop an environment that can be visualized with the VIBE wearable headset and in which he can control a virtual and real robot to grasp objects and move around the environment.

 

When someone is skipping their medication, we know first!

Research categories:  Bioscience/Biomedical, Computational/Mathematical, Computer Engineering and Computer Science, Industrial Engineering
School/Dept.: Biomedical Engineering
Professor: Nan Kong
Preferred major(s): BME, IE, ECE, CS, Math
Desired experience:   Pattern Recognition, Data Mining, Systems and Signals, Signal Processing, Experimental Statistics, Stochastic Processes, Stochastic Operations Research, or equivalent.

Adherence to preventive medications prescribed after vascular or cardiac events such as acute myocardial infarction (AMI), transient ischemic attack (TIA) or acute ischemic stroke is low and non-adherence has been associated with poor outcomes. Wireless technology and behavioral approaches have shown promise in improving health behaviors. Understanding how best to deploy these interventions for maximum impact is lacking, however. In this project, we will learn how data mining techniques can help characterize the behavior of medication adherence for a diverse group of people based on emerging data collected from smart pill bottles.

Visit the website noted below and this one to learn more about the work: http://concordancehealth.com/