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.

Theses, Projects, and Publications

Evolving PITON: AI-Driven Conversations with IoT Data - Colby Sawyer

• Analyzing Style Transfer Algorithms for Segmented Images - Hadi Seyed
• Towards Automated Garment Measurements in the Wild Using Landmark and Depth Estimation - Cris Zbavitel
• Improving Segmented Style Transfer via Blended Partial Convolution - Ayberk Cansever
• Sampling and Selection Methods for Applying 2D Neural Networks to 3D Gaussian Splats - Raphael Dusablon
• Evaluating Object Detection Algorithms for Crowded Sperm Microscopy Videos - Anita Bhandari
• A Framework for Temporal-Based Prediction of Eye Diseases - Saumya Jaiswal
• Superpatching for Image Analysis using Transformers and Superpixels - Brannon McCutcheon

Current Students

Simon Polishchuk

MS in Data Science

Research Topic: Machine Learning for EEG Brain Scan Data

Lee Ostadi

MS in Computer Science

Research Topic: Autoencoders for 3D Gaussian Splats

Hadi Seyed

MS in Data Science

Research Topic: Analysis of Segmented Style Transfer Techniques

Lab Supervisor, RCAW Participant

Jayath Premasinghe

MS in Data Science

Research Topic: Cell Tracking

Cecilia Milla

MS in Computer Science

Research Topic: Implementing Priors into Transformers

Ryan Hall

BS in Computer Science

Research Topic: Rendering for 3D Gaussian Splats

Sarthak Acharya

BS in Software Engineering

Research Topic: RL for Cell Movements

Lab News

June 23 2025 - Congratulation to Brannon McCutcheon for succesfully defending his Masters Thesis: Superpatching for Image Analysis using Transformers and Superpixels

Apr. 23 2025 - Congratulations to Saumya Jaiswal for successfully defending her Masters Thesis: A Framework for Temporal-Based Prediction of Eye Diseases

Apr. 14 2025 - Congratulations to Anita Bhandari for successfully defending her Masters Thesis: Evaluating Object Detection Algorithms for Crowded Sperm Microscopy Videos

Apr. 9 2025 - Congratulations to Raphael Dusablon for successfully defending his Masters Thesis: Sampling and Selection Methods for Applying 2D Neural Networks to 3D Gaussian Splats

Apr. 2, 2025 - Congratulations to Jordan Welborn, Ricardo Zeferino-Rodriguez, Dylan Miller, Ryan Hall, Thomas O’Sullivan, Lee Ostadi, Saumya Jaiswal, Anita Bhandari, Brann McCutcheon, and Simon Polishchuk for presenting at RCAW 2024. A special congratulations to Anita for winning a presentation award. See the LinkedIn post.

Feb. 14, 2024 - Congratulations to Thomas O’Sullivan for receiving an URCA grant for Spring 2025.