About
Scott Spurlock is an Associate Professor in the Computer Science Department at Elon University. He holds a Ph.D. from the University of North Carolina at Charlotte and a bachelor's degree from the University of Florida, with prior industry experience as a software engineer and consultant.
- University: Elon University
- Department: Computer Science
His research spans three primary areas:
- Computer Vision: Applying machine learning to image analysis, including pose estimation and multi-camera action recognition.
- Machine Learning: Exploring synthetic data generation to reduce bias and enhance fairness in algorithms.
- Computer Science Education: Innovating teaching methods like Scrumage, AlgoScrum, and ungrading to improve learning outcomes.
Recent publications highlight his interdisciplinary collaborations across biology, anthropology, and architecture, focusing on inclusivity in education (2025, 2024), agile teaching methods (2020), and technical contributions in pose estimation (2019) and adversarial learning (2020). His work on gamesourcing for pose estimation data earned a Best Paper Award in 2015.
Scientific Awards
- Best Paper Award at ICDSC 2015
He actively mentors undergraduates in projects requiring Python proficiency and coursework in data mining or computer vision.
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