Corey Snyder

ECE 110 Undergraduate Teaching Assistant at University of Illinois at Urbana-Champaign | Champaign, Illinois, United States

About Corey Snyder

Corey Snyder is a dedicated PhD candidate in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign (UIUC), where he is making significant strides in the field of computational imaging under the mentorship of Professor Minh Do. With a robust focus on signal processing, machine learning, and pattern recognition, Corey is currently exploring the innovative realm of non-supervised learning, a critical area that holds the potential to revolutionize how machines interpret complex data without the need for labeled inputs.

One of Corey's notable contributions during the 2018-2019 academic year was the development of the STREETS benchmark dataset, which models vehicular traffic flow in urban environments. This pioneering dataset is unique in its approach, leveraging publicly available web cameras to gather real-time traffic data in residential and suburban settings. By providing a coherent directed graph representation of traffic patterns, STREETS serves as an invaluable resource for researchers and practitioners alike, facilitating advancements in smart city technologies and traffic management systems.

In addition to his research endeavors, Corey is also an adept Graduate Teaching Assistant, where he utilizes his strong communication skills to engage students in complex topics such as machine learning and deep learning. Proficient in programming languages like Python and MATLAB, as well as frameworks such as TensorFlow and PyTorch, he effectively bridges theoretical concepts with practical applications, enhancing the learning experience for his students. Corey's expertise in applied probability and public speaking further solidifies his role as a knowledgeable mentor and educator, making him a valuable asset to the UIUC community and the broader field of electrical and computer engineering.

Corey Snyder Work