Photo of Seungwon YangSeungwon Yang

Assistant Professor

Bachelor's Degree(s): Computer Science, Virginia Tech, 2004

Master's Degree(s): Computer Science, Virginia Tech

PhD: Computer Science, Virginia Tech, 2013

Phone: (225) 578- 7411


Office: 272 Coates Hall


Seungwon Yang is a tenure-track Assistant Professor having a joint position in the School of Library and Information Science (SLIS) and in the Center for Computation and Technology (CCT) at Louisiana State University. He received his PhD, MS, and BS degrees from the Department of Computer Science at Virginia Tech. He aims to provide his students with opportunities to learn about foundational concepts and theories, as well as to gain practical hands-on skills using software tools. For research, he focuses on the topics of crisis informatics, social media, and machine/deep learning. He often collaborates with his colleagues in SLIS and CCT. Especially, he values synergy generated from working together with others when tackle bigger problems. For leisure time, he rides bicycles on the banks of Mississippi river in Baton Rouge, LA.


LIS 4513: Information Techniques for Social Media

LIS 7008: Information Technologies and Systems

LIS 7505: Introduction to Digital Curation

Research Areas

Crisis Informatics, Social Media, Machine/Deep Learning, Information Retrieval and Visualization. 

Selected Publications

Yang, S., Ju, B., & Chung, H. (2019). Identifying Topical Coverages of Curricula using Topic Modeling and Visualization Techniques: A Case of Digital and Data Curation. International Journal of Digital Curation. 13 (2).

Yang, S., Stewart, B. @Houstonpolice: An Exploratory Case of Twitter During Hurricane Harvey. Online Information Review. (accepted)

Platania, R., Shams, S., Yang, S., Zhang, J., Lee, K., and Park, S. (2017). Automated Breast Cancer Diagnosis Using Deep Learning and Region of Interest Detection (BC-DROID). In Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB '17). ACM, New York, NY, USA, 536-543. DOI:

Lee, J. S., Yang, S., Munson, A. L., & Donzo, L. (2017). What people do on Yik Yak: analyzing anonymous microblogging user behaviors. In International Conference on Social Computing and Social Media (pp. 416-428). Springer, Cham.

Selected Presentations

Yang, S. (Author), Ju, B. (Author & Presenter), Meyer, M. (Author), Hendricks, M. (Author), The 10th ACM Conference on Web Science, "Public Libraries on Twitter: Interacting with Communities in Crisis," Association for Computing Machinery (ACM), Amsterdam, Netherlands. (May 27, 2018).

Yang, S. (Author), Stewart, B. (Author & Presenter), The 10th ACM Conference on Web Science, "The Spread of "Fake" and "False" Information During Hurricane Harvey," Association for Computing Machinery (ACM), Amsterdam, Netherlands. (May 27, 2018).

Yang, S. (Author), Ju, B. (Author & Presenter), Chung, H. (Author), Association for Library and Information Science Education, "Configuring the Scope of Digital/Data Curation in LIS Education," Denver, CO, United States. (February 6, 2018).

Yang, S. (Author & Presenter), Rizzuto, T. (Author), Singh, D. (Author), Smart Safe Connected Baton Rouge, "Filtering Tweets for Crimes," National Science Foundation (NSF), Baton Rouge, LA, United States. (August 17, 2018).

Selected Grants / Funded Projects

Lam, N. S., Yang, S., Park, S.-J., Reams, M. A., Meyer, M., LSUAM | IBSS-L: Understanding Social and Geographical Disparities in Disaster Resilience Through the Use of Social Media, National Science Foundation (NSF), $834585 awarded. (September 1, 2016 - February 29, 2020)

Lam, N. S., Yang, S., Park, S.-J., Reams, M. A., Meyer, M., LSUAM | RAPID: The Changing Roles of Social Media in Disaster Resilience: The Case of Hurricane Harvey, National Science Foundation (NSF), $199989 awarded. (January 1, 2018 - December 31, 2018)

Park, S.-J., Ramanujam, J., Lee, K., Wilmot, C. G., Guin, C. C., Yang, S., LSUAM | SCC-Planning: Promoting Smart Technologies in Public Safety and Transportation to Improve Social and Economic Outcomes in a US EDA-Designated Critical Manufacturing Region, National Science Foundation (NSF), $99932 awarded. (September 1, 2017 - August 31, 2018)

Yang, S. Developing an End-to-End Deep Generative Model-based Framework for the Extraction of Biomedical Information. Digital Scholarship Start-up Grant, 60 hours of graduate assistant support.

Selected Professional / Community Services

  • Frontiers in Big Data (journal), reviewer, June 2018-present
  • iConference (conference), reviewer, 2017-present
  • Journal of Information and Knowledge Management (journal), reviewer, 2015-present
  • The ACM/IEEE Joint Conference on Digital Libraries (conference), program committee member, February 2018-June 2018