UROP Research Mentor Project Submission Portal: Submission #1238

Overall Research Project Description If you are looking for a research-centric project that will teach you how to work with real-world data, identifying different kinds of anomalies, and implementing machine learning models, this is the project for you. The Marine Data Center (MDC) at FSU is looking for a student who is willing and eager to engage in a research project that requires investigating existing data and developing code, specifically implementing machine learning frameworks, for working with this data.

The MDC receives weather and ocean data from numerous research vessels on a daily basis, which results in an extensive dataset spanning back 20 years. There are several circumstances in which data is considered anomalous, such as instrument malfunction or an extreme weather event. These anomalies are reflected in the data itself, which data analysts often have to manually identify and record. Considering the sheer quantity of data the MDC works with, this can be an extremely time consuming affair.

The goal of the project is to lay down the foundation for future anomaly detection work at the MDC. The student should have an interest in machine learning, programming, and experimenting via trial and error. The student is expected to actively try different pre-existing machine learning frameworks to determine what systems may be effective for our datasets.