2022-2023 IDSC Fellows Final Project Presentations 4/27
- This event has passed.
2022-2023 IDSC Fellows Final Project Presentations 4/27
April 27, 2023 @ 3:00 pm - 4:30 pm
Free
The 2022-2023 IDSC Fellows will gather once again to present the final project presentations at the Richter Library, 3rd Floor Conference Room, #343, on Thursday, April 27, from 3:00-4:30 PM. Join us in person for light refreshments (or via ZOOM) and hear their progress since their initial pitch.
Take a look back at their opening presentations. Each spoke briefly on what they hoped to accomplish, and we look forward to hearing what progress they have made, and what they learned as they utilized data science and advanced computing in their research.
WATCH—Initial project presentations (in this order): Jeffrey Serville (starts at 5:22), Kelly Soluri (starts at 14:00), Sadegh Tale Masoule (starts at 39:54), and Shara Sookhoo (starts at 48:00).
Register Now
Orientation-selective Deep Brain Stimulation of Midbrain Circuits in the Yucatan Micropig for Improving Gait After Spinal Cord Injury
 |
Jeffrey W. ServilleMENTOR: Ravi Vadapalli, PhD | Director, IDSC Advanced Computing – Department of Biomedical Engineering, College of Engineering Jeffrey is a 2nd year PhD student in the Department of Biomedical Engineering. His research focuses on neuromodulation and rehabilitation for movement disorders, specifically spinal cord injury. As an IDSC Fellow, he aspires to utilize the university’s Triton supercomputer to accelerate preprocessing algorithms designed for diffusion-weighted images (including eddy-current, susceptibility, and motion distortions) and automate MRI-based segmentation of the pig brain that is used for generating anatomically-constrained-tractograms (3D reconstructed fiber pathways) to predict neural activation patterns resulting from deep brain stimulation of the mesencephalic locomotor region (midbrain/brainstem) in pigs. The purpose of his research project is to optimize stimulation programming, as it relates to generating locomotion while minimizing unwanted side-effects, by implementing the finite-element method to solve the associated bioelectric field problem on a subject-by-subject basis. |
Project Overview
|
Forecasting Bycatch Hotspots Using Machine Learning
 |
Kelly S. SoluriKelly Soluri, M.S. Candidate for Marine Biology and Ecology, Rosenstiel School for Marine, Atmospheric, and Earth Science MENTORS: |
| Kelly Sophia Soluri is a Marine Biology and Ecology Master’s student at the Rosenstiel School of Marine, Atmospheric, and Earth Sciences at the University of Miami. She is using machine learning to research quantitative fisheries with Dr. Beth Babcock with a focus in optimizing ways to forecast hotspots in the Gulf of Mexico where many untargeted species are caught. Previously, she has researched sea turtles with Dr. Mariana Fuentes of Florida State University, science diplomacy for the U.S. Department of State’s Office of Science and Technology Cooperation in Washington D.C., and environmentally equitable urban planning with the Miami-Dade County Office of Resilience.
Kelly has strong interests in ecological processes in oceanic and coastal systems as well as learning novel technologies and methods to better understand how these processes function as a response to climate change or anthropogenic pressure. As a native South Floridian, she wishes to support coastal communities that deal with sea level rise, resource insecurity, and intensifying natural disasters. She is also passionate about science literacy for all and the uplifting of minority communities in STEM. |
Segmentation and Evaluation of Micro-Cracks from Micro-CT Images of Concrete Elements
 |
Sadegh Tale MasouleMENTOR: David Chapman, PhD | IDSC AI + Machine Learning Sadegh is a second-year PhD student doing research in the advanced infrastructure materials lab in the college of engineering. His research includes measuring physiochemical properties of polymers in fluids and in cast construction materials, and then analyzing the results with different methods, one of them being machine learning that he’s currently pursuing. He hopes that with access to the IDSC’s expertise and resources, he can achieve good progress on his project. |
Project Goals
|
To Investigate the Co-Occurrence Patterns in the Microbiomes of Six Species of Corals
 |
Shara SookhooMENTOR: Manohar Murthi, PhD, Associate Professor | College of Engineering, Department of Electrical and Computer Engineering – Dr. Nikki Traylor Knowles, Associate Professor, Department of Marine Biology and Ecology, Rosenstiel School for Marine, Atmospheric, and Earth Science | Secondary Faculty in Biology |
| Shara is a Junior majoring in Marine Biology and Ecology with minors in Computer Science and Biochemistry and Molecular Biology. After learning to SCUBA dive at 14, she became passionate about coral conservation. Through her work with University of Miami’s Marine Genomics lab and Mote’s Coral Health and Disease lab, she is learning the skills to find and develop corals that are more resilient to climate change and disease. In the last year, these interests have led her to jump off a bridge in the Florida Keys and climb a volcano in the Galapagos. Both in and out of the lab, Shara always looking for the next adventure. |
Join Our Events Mailing List
Sign up to receive email notifications of events held by the University of Miami Frost Institute for Data Science and Computing.
By submitting this form, you are consenting to receive marketing emails from: Institute for Data Science & Computing. You can revoke your consent to receive emails at any time by using the SafeUnsubscribe® link, found at the bottom of every email. Emails are serviced by Constant Contact