Skip to Main Content
College Home Page
E C E Home Page

Affiliate Events

Tackling Big & Messy Data with MATLAB

  Add to Google Calendar
Date:  Tue, September 19, 2023
Time:  1:00pm - 2:30pm
Location:  Holmes Hall 389
Speaker:  Timothy Kyung, MathWorks


Analyzing real-world data can get messy! This session is intended to show how to get ugly, real-world data into MATLAB and get it ready for analysis, as well as learn strategies and techniques for handling large amounts of data in MATLAB. With flight-test data as an example, the content in this presentation is meant to help engineers with the following key items: 

✨ Key updates to the MATLAB environment, capabilities, data-types, etc. 
✨ Importing data (large data sets, varying formats) 
✨ Data Management (efficient storage/access strategies) 
✨ Handling Missing or Misaligned Data 
✨ Detecting and Handling Outliers 
✨ Smoothing and Filtering Noisy Data 
✨ Leveraging tall arrays to analyze and process data that does not fit in memory 
✨ Using Parallel Computing Toolbox for increased performance 


Timothy Kyung is an Application Engineer supporting the Government and Department of Defense industry with technical focuses in deployment/interfacing with 3rd party software and parallelization. He holds a B.S. and M.S. in Mechanical Engineering with a focus in robotics from Carnegie Mellon University.

Return to Affiliate Events