Collecting data on solar cell cracking and stress will prevent power loss and failure in solar cells.
Studying service learning’s impact on engineering education persistence could help develop courses to better serve diverse student populations.
Studying the genetic changes of a bacterial pathogen that affects cystic fibrosis patients will help develop less invasive diagnostic procedures.
By improving testing reliability and safety, rocket liquid propulsion research will be more accessible to students.
Understanding young students’ gender biases can help improve gender diversity in engineering.
More than 10 million people worldwide live with Parkinson’s disease (PD), which is caused by a lack of dopaminergic cells. While limb motor function is most commonly associated with PD, most patients also suffer from debilitating oral motor dysfunction, including difficulty chewing and swallowing. Vagus nerve stimulation (VNS) is a method of stimulating the vagus
The ASU RISE Lab’s autonomous bicycle project investigates the implementation of a self-driving bicycle for increased mobility and human-robot interaction research. This semester the research focus was on balance. Two strategies are being used in tandem to balance the bicycle; control of the steering column and a control moment gyroscope (CMG). Initial drive tests indicated
This project examines the efficacy of lumbar vertebral bone depth sensors for relevant surgical uses. This project attempts to categorize this by comparing multiple sensor types (ultrasound, resistance, and force) on different models including a 3D-printed spine and an anatomically-similar porcine cadaver. The project goal is to provide a blueprint to integrate sensors into surgical
This study will examine the yield strength of the lumbar spinous processes to mechanical forces applied in a transverse direction. Such forces will be generated clinically by neurosurgeons using a novel surgical device interacting with the processes. Understanding the forces tolerated by spinous processes is important to avoid device failure caused by process fracturing. The
The purpose of this study is to determine whether time constraints impact the performance of individuals on HackerRank coding assessments. Subjects will wear two physiological sensors: a shimmer and ABM headset that will measure cognitive workload, engagement, and distraction. They will also be monitored by external eye trackers and by facial recognition webcams to measure