The ECU Computer Vision Lab is led by Dr. David Hart and investigates topics in the fields of computer vision and machine learning. The lab consists of undergraduate and graduate students of various backgrounds and expertises. If you are an ECU student and would like to join the lab, please contact Dr. Hart directly. Applicants should generally have a good mathematical background and programming skills in Python.
Look at our Current Research Topics page to learn more.
Evolving PITON: AI-Driven Conversations with IoT Data - Colby Sawyer
Ayberk Cansever
MS in Data Science
Research Topic: Automatic Segmentation and Style Transfer Techniques
Hadi Seyed
MS in Data Science
Research Topic: Analysis of Segmented Style Transfer Techniques
Simon Polishchuk
MS in Data Science
Research Topic: Machine Learning for EEG Brain Scan Data
Raphael Dusablon
MS in Data Science
Research Topic: Graph Networks for Radiance Fields
Anita Bhandari
MS in Data Science
Research Topic: Object Detection and Tracking in Cell Imaging
Saumya Jaiswal
MS in Computer Science
Research Topic: Vision Transformers for Improved Eye Diagnostics
Cris Zbavitel
MS in Computer Science
Research Topic: Computer Vision for Automatic Garment Sizing
Thomas O’Sullivan
BS in Computer Science
Research Topic: Retrieval Augmented Generation
Brannon McCutcheon
MS in Data Science
Research Topic: Superpixels for Vision Transformers
April 12, 2024 - Congratulations to Colby Sawyer for successfully presenting and completing his Masters Project work on EVOLVING PITON: AI-DRIVEN CONVERSATIONS WITH IOT DATA
Apr. 3, 2024 - Congratulations to Sariah Schulteis, Sven Reyes, Dylan Miller, Hadi Seyed, Cris Zbavitel, and Colby Sawyer for presenting at RCAW 2024. A special congratulations to Colby for winning a presentation award. See the LinkedIn post.
Feb. 15, 2024 - Congratulations to Sariah Schulteis and Sven Reyes for receiving URCA grants for Spring 2024.