Yingbo Ma, Ph.D.

Assistant Professor

Introduction

Yingbo Ma is an assistant professor at the Department of Computer Information Technology and Graphics. His research spans AI applications in healthcare and education, with a strong emphasis on human-computer interaction, ethical AI practices and multimodal machine learning.

Select Publications

Ma, Y., Kolla, S., Kaliraman, D., Nolan, V., Hu, Z., Guan, Z., … & Shickel, B. (2024). Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records. In Workshop of Learning from Time-Series for Health @ ICLR24.

Ma, Y., Katuka, G. A., Celepkolu, M., & Boyer, K. E. (2023). Automatically Predicting Peer Satisfaction during Collaborative Learning with Linguistic, Acoustic, and Visual Features. Journal of Educational Data Mining, 15(2), 86-122.

Ma, Y., Celepkolu, M., & Boyer, K. E. (2022, March). Detecting impasse during collaborative problem solving with multimodal learning analytics. In LAK22: 12th International Learning Analytics and Knowledge Conference(pp. 45-55).

Ma, Y., Wiggins, J. B., Celepkolu, M., Boyer, K. E., Lynch, C., & Wiebe, E. (2021, June). The challenge of noisy classrooms: Speaker detection during elementary students’ collaborative dialogue. In AIED21: International Conference on Artificial Intelligence in Education(pp. 268-281). Cham: Springer International Publishing.

Teaching Focus

Ma’s teaching interest focuses on integrating artificial intelligence and machine learning, emphasizing practical applications, ethical considerations and hands-on experience with cutting-edge technologies.