
LTC Jesse Wood
Senior Instructor
Electrical Engineering & Computer Science
M.S. in Computer Science - North Carolina State University
M.S. in Administration (Information Resource Management) - Central Michigan University
B.S. in Computer Science - University of Kansas
Research Interests
Computer Vision, Natural Language Processing
Selected Publications
Matsuda, N., Wood, J., Shrivastava, R., Shimmei, M., & Bier, N. (2022). Latent Skill Mining and Labeling from Courseware Content. Journal of Educational Data Mining, 14(2), 1-31.
Matsuda, N., Shimmei, M., Chaudhuri, P., Makam, D., Shrivastava, R., Wood, J., & Taneja, P. (2023). PASTEL: Evidence-based learning engineering methods to facilitate creation of adaptive online courseware. In F. Ouyang, P. Jiao, B. M. McLaren & A. H. Alavi (Eds.), Artificial Intelligence in STEM Education: The Paradigmatic Shifts in Research, Education, and Technology (pp.93-108). New York, NY: CSC Press.
Shafer, E., Wood, J., Street, S., Crow, E., Lu, C. (2023). Social Bias and Image Tagging: Evaluation of Progress in State-of-the-Art Models. In Bebis, G., et al. Advances in Visual Computing. ISVC 2023. Lecture Notes in Computer Science, vol 14362. Springer, Cham.