Provide students with practical knowledge and experience
Team with clients to create high value solutions
Create a network of skilled Washington Univeristy engineers
In this project, the ETK team is working alongside engineers at Eaton Bussmann to design and develop a creative IoT solution to be included in their end products. The team will work with hardware such as Arduinos and Raspberry Pi to monitor machine health for their end products, such as control panels, and aggregate data in the cloud for analysis to be used in preventative maintenance. This is an ongoing project.
The ETK team worked with engineers at Eaton Bussmann, a local electrical company, to implement a facial recognition system to control access to switchboards and control panels. Python scripts combined with machine learning models were leveraged to achieve the goal of recognizing faces and safety equipment accurately to ensure security of the system.
The ETK team worked with professor Mary Ruppert-Stroescu helping to develop a wearable EKG monitor fabricated entirely from conductive textiles using conductive fabric patches as EKG electrodes and conductive threads as wires. We aided in solving many of the technical challenges faced, such as materials testing, the interface between solid electronics and textiles, software development, 3D modeling, and circuit design. Additionally, we are adding a respiratory monitor as well as an accelerometer for position monitoring.
The ETK team worked with employees from Magellan Health to design a GUI that can track the location of an individual's shipped prescription medications.
ETK worked with WUSM department of Radiation Oncology to use mm-wave imaging technology to localize radiation oncology patients consistently over a round of radiotherapy. Consistent localization is important for delivery of the radiation dose to the proper target while minimizing impact on surrounding organs. The main component of this project was designing a GUI that conveys information about the patient's position to the user.
Our ETK team had the opportunity to work with Joseph C. Sansone Company, a nationally recognized real estate firm. The ETK team worked to design an application that uses vision recognition services for document and text matching. Specifically, the team worked with image and document classification, pattern recognition, image analysis, Optical Character Recognition (OCR),and Query by Image (QBI).
The ETK team worked with Prattle Analytics, a startup that uses sentiment analysis to predict interest rate shifts, to create an application that used parallel computing for efficient data processing.
Students worked with Pirooz Eghtesady, the Cardiothoracic Surgeon-in-Chief at the Washington University School of Medicine and St. Louis Children's Hospital, to create a medical device to provide circulatory support in univentricular infants. Specifically, infants' hearts are put under significant strain during surgery and often times need functional support. This device was designed to be inserted into one side of the heart, connected to an external pump, and then reconnected to the aorta on the other side of the heart in order to remain within the patient for an extended period of time without causing any impairments.
Team members worked for the Washington University Office of Technology Management (OTM) to test the viability of a patent for biofoam sheets for water purification. Team members built a solar still device and conducted field testing.
The group worked on a machine learning module for Clever Analytics that used supervised machine learning algorithms to train a model and then label text, allowing users to glean insights from large sets of unstructured data.
A team worked with Tech Manufacturing, an aerospace supplier, to refine existing computer code that models the behavior of equipment performing a manufacturing process.
A team worked with Project MEGSSS (Mathematical Education for Gifted Secondary School Students) to develop a code-based optimization algorithm.
A team worked with Prozess Technologie to do a heat transfer analysis of their product. Prozess Technologie is a St. Louis-based technology company designing, building, and implementing spectroscopic solutions for process measurement and control in multiple manufacturing sectors.