I am a Ph.D. student in the Department of Computer Science at North Carolina State University. I graduated from Auburn University in 2016 with a B.S. in Electrical and Computer Engineering and from The University of Alabama in Huntsville with an M.S. in Computer Science.
During graduate school, I developed an interest in machine learning and computer vision. My graduate research focused on spatiotemporal dimensionality reduction techniques for convolutional neural networks. I have also performed deep learning-based research for the U.S. Department of Defense. As a member of the Center for Educational Informatics, I am conducting research on multimodal data analytics, sensor-based affective computing, and computational user modeling. Outside of research, I enjoy watching Auburn University and NC State athletics, playing sports, and exploring new places in Raleigh.
Ph.D., Computer Science (currently enrolled)
North Carolina State University, Raleigh, NC
M.S., Computer Science (2016-2017)
The University of Alabama in Huntsville, Huntsville, AL
B.S., Electrical and Computer Engineering (2012-2016)
Auburn University, Auburn, AL
Nathan Henderson, Wookhee Min, Jonathan Rowe, and James Lester. Multimodal Player Affect Modeling with Auxiliary Classifier Generative Adversarial Networks. To appear in Proceedings of the Sixteenth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Worchester, Massachusetts. [PDF]
Nathan Henderson, Vikram Kumaran, Wookhee Min, Bradford Mott, Ziwei Wu, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric Wiebe, and James Lester. Enhancing Student Competency Models for Game-Based Learning with a Hybrid Stealth Assessment Framework. Proceedings of the Thirteenth International Conference on Educational Data Mining, pp. 92-103, Ifrane, Morocco, 2020. (Best Student Paper Award) [PDF]
Andrew Emerson, Nathan Henderson, Jonathan Rowe, Wookhee Min, Seung Lee, James Minogue, and James Lester. Investigating Visitor Engagement in Interactive Science Museum Exhibits with Multimodal Bayesian Hierarchical Models. Proceedings of the Twenty-First International Conference on Artificial Intelligence in Education, pp. 165-176, Ifrane, Morocco, 2020. [PDF]
Nathan Henderson, Jonathan Rowe, Luc Paquette, Ryan Baker, and James Lester. Improving Affect Detection in Game-Based Learning with Multimodal Data Fusion. Proceedings of the Twenty-First International Conference on Artificial Intelligence in Education, pp. 228-239, Ifrane, Morocco, 2020. [PDF]
Nathan Henderson, Andrew Emerson, Jonathan Rowe, and James Lester. Improving Sensor-Based Affect Detection with Multimodal Data Imputation. Proceedings of the Eighth International Conference on Affective Computing and Intelligent Interaction, pp. 669-675, Cambridge, England, 2019. [PDF]
Nathan Henderson, Jonathan Rowe, Bradford Mott, Keith Brawner, Ryan Baker, and James Lester. 4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion. Proceedings of the Twentieth International Conference on Artificial Intelligence in Education, pp. 144-156, Chicago, 2019. [PDF]