Twelve Undergraduates Participating in Spring 2018 Armour R&D Program

University News – Illinois Tech Today

Armour College of Engineering undergraduate students and their faculty mentors have been awarded Spring 2018 Armour R&D Fellowships. The program, an Armour College of Engineering Distinctive Education initiative, offers undergraduate engineering students the opportunity to gain hands-on research and development experience in the lab of a faculty mentor.
Nine students funded during the spring term will begin projects for the first time, while three participants will build on research they started during prior semesters. Students have been selected to participate in the program based on the quality of project proposals submitted. The proposals are reviewed and selected by Natacha DePaola, Ph.D., Carol and Ed Kaplan Armour College Dean of Engineering, and the Distinctive Education Council.
Armour R&D will run for ten weeks, culminating with the Fourth Annual Armour R&D Expo on Thursday, April 5 in the John T. Rettaliata Engineering Center Atrium. During the expo, students will participate in a poster competition where they share the results of their work and compete for awards with participants from the summer and fall 2017 semesters.
The Spring 2018 Armour R&D projects are categorized under the four Illinois Tech Engineering Themes: Water, Health, Energy, and Security. These themes represent areas in which engineers can create solutions of global impact that advance society.
Nikanth Patel (BME 5th Year) and Keigo Kawaji, assistant professor of biomedical engineering, will work on their MIND project, Extending Clinical Heart Tissue Scoring by Magnetic Resonance Imaging. The project will focus on the design and delivery of a clinical tool that will allow collaborating physicians, who regularly read diagnostic MRI images, to make improved quantitative assessments in specifically motion-compromised MRI scans that were previously considered unsalvageable. Patel will be specifically working on T1 mapping and trying to minimize the erroneous values in order to get an accurate color map for the MRI scan.
Asma Shuaibi (BME 2nd Year) …

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