Andrew Freeman

Dr. Andrew Freeman is an Assistant Professor in the Department of Computer Science at Baylor University, where he contributes to research and teaching in visual computing and computer vision. His work focuses on next-generation video representation using asynchronous, event-based data from neuromorphic cameras.

His research interests include:

• Event-based video representations
• Data compression for visual data
• Neuromorphic cameras and sensors
• Deep learning systems for video processing
• Computer vision applications in surveillance and edge computing

Dr. Freeman's work aims to eliminate the limitations of frame-based video by adopting sparse, asynchronous event streams that significantly reduce data volume and processing costs. This approach has promising implications for large-scale video surveillance and real-time vision systems.

He earned his academic degrees from prestigious institutions:

• PhD in Computer Science, University of North Carolina at Chapel Hill (2024)
• MS in Computer Science, University of North Carolina at Chapel Hill (2021)
• BS in Computer Science and Mathematics, Samford University (2019)

Outside of academia, Dr. Freeman enjoys hiking, camping, landscape photography, making specialty coffee, and listening to jazz music. His office is located in Hankamer 330.39 at Baylor University, Waco, Texas.