Yuehan Yin, D.Sc.

Yuehan Yin is an Assistant Professor in the Department of Mathematics and Computer Science at La Salle University since August 2022. He holds a Bachelor of Science degree in Computer Science, a Master of Science degree in Computer Science, and a doctorate in Information Technology from Towson University in Maryland. His research interests include deep learning and its applications, machine learning and its applications, and data mining.

Areas of Expertise

• Deep Learning
• Data Mining

Education 

• D.Sc., Information Technology, Towson University
• M.S., Computer Science, Towson University
• B.S., Computer Science, Towson University

Teaching

• Introduction to Computing using Packages
• Programming Concepts and User Interfaces
• Object Programming
• .Net Programming
• Introduction to Deep Learning
• Data Mining
• Operating Systems

Publications

• Wang, Y., Yin, Y., Jarvinen, L., and Mosca, F. (2025). AI for Everyone: Building Generative AI Literacy Across Disciplines. Journal of Computing Sciences in Colleges.
• Wang, Y., and Yin, Y. (2025). Designing a CS0 Programming Course for At Risk Freshmen. Journal of Computing Sciences in Colleges, 40(8), 107-117.
• Wang, Y., Yin, Y., and Jalalitabar, M. (2025). Intervening with At-risk Freshmen in Programming-Methodologies and Designs. In 2025 IEEE Integrated STEM Education Conference (ISEC).
• Yin, Y., McGuire, M. P., Alqahtani, Y., Feng, J. H., and Chakraborty, J. (2023) Classification of Information Display Types Using Graph Neural Networks. In 2023 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 130-136).
• Yin, Y., Alqahtani, Y., Feng, J. H., Chakraborty, J., and McGuire, M. P. (2021, December). Deep Learning Methods for the Prediction of Information Display Type Using Eye Tracking Sequences. In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 601-605). IEEE.
• Yin, Y., Alqahtani, Y., Feng, J. H., Chakraborty, J. and McGuire, M. P. (2021) Classification of Eye Tracking Data in Visual Information Processing Tasks Using Convolutional Neural Networks and Feature Engineering. SN Computer Science, 2(2), 1-26.
• Yin, Y., Juan, C., Chakraborty, J., and McGuire, M. P. (2018, December). Classification of Eye Tracking Data Using a Convolutional Neural Network. In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 530- 535). IEEE.
• Acharya, S., Yin, Y., and Mak, A. (2017, November). Towards the design of a secure and compliant framework for OpenEMR. In 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 992-999). IEEE.