Dr. Leen-Kiat Soh
In 2001, I joined the Department of Computer Science and Engineering at the University of Nebraska-Lincoln. My responsibilities at the institution involve research, teaching, engagement, and service.
The long-term vision for my research is to (1) establish the fundamental framework for multiagent systems to intelligently support human users in collaborative learning and teamwork settings, and (2) develop principled intelligent applications or systems to impact learning and teaching in education. Progressing towards this vision, I have worked in the following areas and the interdisciplinary spaces between the areas: (1) Multiagent Systems, Modeling, and Simulation with efforts in deliberative, reflective information gathering, ad hoc team formation, cognitive computing, and survey informatics; (2) CS Education with recent emphasis in integrating creative thinking and computational thinking, professional development for K-12 teachers, and also computer-aided education; and (3) Intelligent Data Analytics applying machine learning techniques to big data, such as document image understanding and adaptive decision making.
I have also been active in broadening participation in computing and STEM education, as well as promoting diversity and inclusive excellence on campus and beyond.
Current Research Interest:
Multiagent team formation, multiagent modeling of social unrest, historical document image analysis, professional development of K-12 teachers, first year experiences in CS, applying machine learning techniques to support decision making
Peteranetz, M. S., A. E. Flanigan, D. F. Shell, and L.-K. Soh (2018). Helping Engineering Students Learn in Introductory Computer Science (CS1) Using Computational Creativity Exercises (CCEs), IEEE Transactions on Education, 61(3):195-203. Special Issue on Computing in Engineering.
Peteranetz, M., A. Flanigan, D. F. Shell, and L.-K. Soh (2018). Career Aspirations, Perceived Instrumentality, and Achievement in Undergraduate Computer Science, Contemporary Educational Psychology, 53:27-44.
Peteranetz, M., A. Flanigan, D. F. Shell, and L.-K. Soh (2017). Computational Creativity: An Avenue for Promoting Learning in Computer Science, IEEE Transactions on Education, 60(4):305-313.
Flanigan, A., M. Peteranetz, D. F. Shell, and L.-K. Soh (2017). Implicit Intelligence Beliefs of Computer Science Students: Exploring Change across the Semester, Contemporary Educational Psychology, 48:179-196.
Eck, A., L.-K. Soh, S. Devlin, and D. Kudenko (2016). Potential-Based Reward Shaping for Finite Horizon Online POMDP Planning, Autonomous Agents and Multiagent Systems, 30(3):403-445.
Khandaker, N., L.-K. Soh, L. D. Miller, A. Eck, and H. Jiang (2011). Lessons Learned from Comprehensive Deployments of Multiagent CSCL Applications I-MINDS and ClassroomWiki, IEEE Transactions on Learning Technologies, 4(1):47-58.
Soh, L.-K., C. Tsatsoulis, D. Gineris, and C. Bertoia (2004). ARKTOS: An Intelligent System for Satellite Sea Ice Images, IEEE Transactions on Geoscience and Remote Sensing, 42(1):229-248.
Soh, L.-K. and C. Tsatsoulis (2001). Reflective Negotiating Agents for Real-Time Multisensor Target Tracking, in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI01), August 6-11, Seattle, WA, pp. 1121-1127.
Soh, L.-K. and C. Tsatsoulis (1999). Texture Analysis of SAR Sea Ice Imagery Using Gray Level Co-occurrence Matrices, IEEE Transactions on Geoscience and Remote Sensing, 37(2):780-795.