Seminar Series
Wednesday, 9/18 - Ubiquitous Machine Learning: Deep Data Representation for Next Generation Systems
Dr. Eric Larson, Associate Professor in Computer Science in the Bobby B. Lyle School of Engineering
This talk will overview data science related research topics in Dr. Larson’s lab. These research topics explore the interdisciplinary relationship of machine learning and signal/image processing with the fields of security, mobile health, education, psycho-visual psychology, human-computer interaction, and ubiquitous computing. Emphasis will be given to deep data representations that support cyber-security, education, and healthcare via the integration of machine learning and sensing. These include (1) using machine learning in robotic surgery assessment, (2) assessing oral reading fluency and vocabulary acquisition, and (3) investigate information leakage in pervasive and mobile devices.
Moody Hall Classroom 126 | 2:00 pm - 3:00 pm
Slides from Dr. Larson's presentation can be found here.
Wednesday, 10/23 - Rebuilding Earthquake Catalogs Using Machine Learning
Dr. Heather R. DeShon, Professor of Geophysics; Chair, Huffington Department of Earth Sciences
Machine learning (ML) phase detection and association has altered the landscape for the rapid creation of earthquake catalogs. Many rapid deployments in urban areas, such as North Texas, and in offshore environments create scenarios the push the limits of available training datasets. Here, Dr. DeShon will overview some of the applications of ML techniques used to develop earthquake catalogs at èßäÊÓƵapp and review the scientific insights that these catalogs provide on seismogenic processes in oil and gas basins and subduction zone environments.
Moody Hall Classroom 126 | 2:00 pm - 3:00 pm
Please stay tuned for remaining Fall 2024 seminar schedule.