Engineering Test Kitchen is a non-profit consulting firm founded and operated by Washington University in St. Louis undergraduate, multidisciplinary, engineering students. We provide a team of skilled engineering undergrads and grads under the guidance of an experienced mentor to take on your company’s projects
Our mission is to connect engineering undergraduate and graduate students with real projects where they can learn, make meaningful contributions, and develop relationships with potential future employers.
In this project, the ETK team will work with Dr. Minh Pham and Dr. Mary Ruppert-Stroescu to further the development of a biometric shirt that monitors EKG, Blood Oxygen, and respiration data through the utilization of an inductive chest band and nasal canula. The team will work to further develop this technology and optimize the current design. For further information, please see the prototype demonstration in the linked video starting at 27.08. Preferred qualifications included MySQL, MATLAB, CAD, and 3d-printing.
Students will have the opportunity to work with Joseph C. Sansone Company, a nationally recognized real estate firm. The ETK team will create an application that uses vision recognition services for document and text matching. Specifically, the team will work with image and document classification, pattern recognition, image analysis, Optical Character Recognition (OCR), Optical Word Recognition (OWR), Intelligent Character Recognition (ICR), 3D and 2D Code recognition (Bar codes, QR, etc.) content based image retrieval (CBIR) and Query by Image (QBI). Students will be able to work closely with industry professionals to develop this solution. Additionally, they will develop valuable experience in cutting-edge, industry technologies. They will also come out with a professional grade project to list on their resumes. Preferred qualifications include experience with a scripting language such as Python and experience working with databases (MySQL, MongoDB, etc. Experience with vision recognition services is also a huge plus.
In this project, students will work with Pirooz Eghtesady, MD, PhD, the Cardiothoracic Surgeon-in-Chief at the Wash U School of Medicine and St. Louis Children's Hospital. The team will work 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 will be inserted into one side of the heart, connect to an external pump, and then reconnect to the aorta on the other side of the heart. Ideally, this device will be able to reside within the patient for an extended period of time without causing any impairments.
Students will have the opportunity to work with Prattle Analytics, a startup that uses sentiment analysis to predict interest rate shifts. The ETK team will create an application that uses parallel computing for efficient data processing. Students will be able to work closely with industry professionals to develop this solution. Additionally, they will develop valuable experience in cutting-edge, industry technologies, including PostgreSQL, MongoDB, and AWS Lambda. They will also come out with a professional grade project to list on their resumes.
Team members will be working for the WashU Office of Technology Management (OTM), testing the viability of a patent for biofoam sheets for water purification. Members will build a solar still device and conduct field testing to further understand the engineering demands of the product. Qualifications: Lab experience is a plus. Chemical Engineering and MEMS majors are encouraged to apply
The group will work on a machine learning module for Clever Analytics. This application will use supervised machine learning algorithms to train a model and then label text, allowing users to glean insights from large sets of unstructured data. Qualifications: Object-Oriented programming experience is required. Experience with Python and MongoDB is preferred, but not required. Prior experience with machine learning and natural language processing is a big plus, but students will have the opportunity to learn during the project