School of Engineering
Demographics of Multi-Messenger Supermassive Black-Hole Binaries from the Illustris Cosmological Simulation (DSI-SRP)
Aug. 15, 2021—This DSI-SRP fellowship funded Katharine (Katie) Cella to work in the laboratory of Professor Stephen Taylor in the Department of Physics and Astronomy during the summer of 2021. Katie is a senior with majors in Computer Science and Physics and a minors in Mathematics. The project funded by this fellowship aimed to determine the properties...
Utilizing Imaging Mass Cytometry to Identify Glioblastoma Cell Clusters (DSI-SRP)
Aug. 15, 2021—This DSI-SRP fellowship funded Rohit Khurana to work in the laboratory of Dr. Rebecca Ihrie in the Department of Cell and Developmental Biology during the summer of 2021. Rohit is a junior with majors in Computer Science and Molecular & Cellular Biology. The project funded by this fellowship aimed to understand how specific subpopulations of...
Deep-CCA: Developing a Deep Multi-view Learning Algorithm for Aggregating Multi-modal Patient Data (DSI-SRP)
Aug. 15, 2021—This DSI-SRP fellowship funded funded Jiaxin (Nicole) He to work in the laboratory of Professor Yuankai Huo in the Department of Electrical Engineering and Computer Science during the summer of 2021. Nicole is a junior with majors in Computer Science and Mathematics. The project funded by this fellowship aimed to apply canonical correlation analysis (CCA) for cancer’s survival...
Investigating fMRI Preprocessing Variations: Multi-echo ICA vs. Conventional Preprocessing (DSI-SRP)
Aug. 15, 2021—This DSI-SRP fellowship funded Hangling Liu to work in the lab of Catie Chang during the summer of 2021. Hangling is a Junior with majors in Computer Science and Economics and a minor in Spanish. Hangling worked in the Neuroimaging & Brain Dynamics Lab during the summer of 2021, and focused on computational analyses and...
Applied Graph Convolutional Networks for Identifying Individuals with ASD Experiencing Mental Health Crises (DSI-SRP)
Aug. 15, 2021—This DSI-SRP fellowship funded Benjamin Van Sleen to work in the Network and Data Science (NDS) laboratory led by Assistant Professor Tyler Derr in the Department of Computer Science during the summer of 2021. Benjamin is a junior with majors in Computer Engineering and Economics. The project funded by this fellowship aimed to understand relationships between autism...
Exploring Online Sub-communities for Autism and Social Connections (DSI-SRP)
Aug. 15, 2021—This DSI-SRP fellowship funded Chet Weissberg to work in the Network and Data Science (NDS) laboratory led by Assistant Professor Tyler Derr in the Department of Computer Science during the summer of 2021. Chet is a junior with a majors in Mathematics and minors in Computer Science and Cinema and Media Arts. The project funded...
Addressing Racial Disparities in Lung Cancer Screening (DSI-SRP)
Aug. 15, 2021—This DSI-SRP fellowship funded Andrew Gothard to work in the laboratory of Dr. Jeffery Blume in the Data Science Institute at Vanderbilt University during the summer of 2021. Andrew is a junior with majors in Mathematics and Computer Science. The project funded by this fellowship aimed to introduce Andrew to data science techniques and the...
Mutational Biases in Ascomycota (DSI-SRP)
Aug. 15, 2021—This DSI-SRP fellowship funded Qianhui Zheng to work in the laboratory of Antonis Rokas in Biological Sciences during the summer of 2021. Qianhui is a senior with majors in Computer Science and Biochemistry. Mutations are a major source of genetic variability and novelty, providing the fuel for natural selection. Mutations are random with respect to the...
Understand Rare Disease by Aggregating In-House Data with Public Data from Pubmed, Social Media, and Search Engine (DSI-SRP)
Aug. 15, 2021—This DSI-SRP fellowship funded Zheyu (Richard) Zhu to work in the laboratory of Professor Yuankai Huo in the Department of Computer Science during the summer of 2021. Zheyu is a senior with majors in Computer Science and Mathematics. The project funded by this fellowship aimed to understand the segmentation performance of four different feature extraction...
Improving Ultrasound Image Quality with Deep Learning
Aug. 6, 2021—Ultrasound remains an invaluable tool for clinicians because it is real-time, cost-effective, and portable. However, poor image quality can make diagnostic and guidance tasks with ultrasound unreliable (e.g., tumor and gallbladder boundaries difficult to see in left most figure). Machine learning techniques applied to ultrasound data have had great success for improving image quality. Among...