Interdisciplinary – Page 7 – UROP Summer Symposium 2021

Interdisciplinary

A Virtual Reality Game for Radiation Protection

Background: Virtual Reality (VR) is largely the result of immersive game evolution, which strives to make players feel like they are really “in the game”. Many software and hardware companies have been creating the next best immersive experience to make the not real, very real. Despite this, many of the most popular games only serve the player as entertainment and don’t supply any additional value. Applying the VR gaming concept to education could encourage students to learn, create, and think critically while having fun. When VR is applied to radiation safety, the resulting accrued experiences could ultimately even save lives. Specialized software platforms, such as Unity and Unreal, allow individuals with only basic skills to create games. Three-dimensional (3D) object modeling tools like SolidWorks and Blender permit the creation of objects which may not already be readily available in digital libraries.

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MATLAB Programming for Data Packaging

Research is being conducted within the University of Michigan Direct Brain Interface (UM-DBI) Laboratory to develop an option for people with physical impairments to access communication devices without physical movement through brain-computer interfaces (BCIs). Currently, the majority of the BCI data from the laboratory is stored in a BCI2000 file format which is raw data and cannot be edited or modified after it is obtained. The MATLAB Programming for Data Packaging Project focuses on improving the data storing and editing process for a custom Data Packaging Graphical User Interface (GUI) within MATLAB.

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Ontological Representation and Machine Learning Prediction of Drugs for COVID-19 Treatment

Background: SARS-CoV-2 is a human coronavirus that has caused COVID-19 and is able to rapidly mutate and spread throughout the world. While the usage of COVID-19 vaccines has drastically reduced illness, new variants of the virus continue to show up and reduce vaccination efficiency. Given the continuous spreading of the disease, effective drugs for treating COVID-19 are urgently needed; however, very effective drugs for COVID-19 have not yet been approved for public use. Drug repurposing is a strategy to discover new uses for thousands of approved drugs previously used for other illnesses. It is possible to use the drug repurposing strategy to find drugs for effective COVID-19 treatment. This study aims to analyze drugs and their effects on the human body to further predict effective drugs for COVID-19 using machine learning algorithms.

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Apoptotic Effect of Deoxycholic Acid and Ursodeoxycholic Acid on Human Colon Cancer Cells

Colorectal cancer (CRC) is the second leading cause of cancer deaths in the United States. Current treatments for colorectal cancer include surgery, radiation, and chemotherapy; however, the five-year survival rate for distant CRC is 16%. Due to the ineffectiveness of standard treatments, especially at distant CRC, new therapeutics are needed to provide more effective treatment options at all stages.

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2021 Powertrain Strategies for the 21st Century

My Research Project pertains to Powertrain Strategies for the 21st Century survey project of the Automotive Futures Group. This survey of automotive industry experts including manufacturers, suppliers, government, NGOs, academia, and consultants looks to forecast the percentage of different powertrains that will be sold in 2025 and 2030 as well as asking experts about their expectations for the Biden Administrations CAFÉ regulations impacts, how will the industry use its credits to meet their goals, will manufacturers be able to meet aggressive state goals for eliminating gas fueled vehicle sales, and how will the auto industry make the transition to EVs, including questions on charging infrastructure. Our analyses will address these questions and report differences, if any, among the three groups of respondents (manufacturers, suppliers, and the group of government, NGOs, academia, and consultants). A unique characteristic of our analyses will be our weighting of responses by the confidence respondents report about their answers. Our results will be a continuation of this survey that dates back to 2007 that has tracked powertrain expert responses to the future of powertrains in the US.

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Development of automated photogrammetry system for measuring biological tissue geometry in situ

In determining engineering stress, a shape’s cross section is estimated and then the stress is calculated from there. For engineering materials, a general idea of the stress a part undergoes is usually all that is needed. However, when calculating stress on biological tissues, such as mouse tendons, it is more difficult due to the irregular shape, size, and precision needed. My research has been to develop a photogrammetry set up that automatically acquires pictures from multiple angles and in conjunction with a secondary software, calculates the cross sectional area of mouse tendon (or other object) in order to improve the accuracy of data for research.

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