David (King Ip) Lin, Ph.D.


 David Lin

King-ip (David) Lin, Ph.D.

Associate Professor, Computer Science

Office Location: Caruth Hall 479

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  • Ph.D. in Computer Science, University of Maryland, College Park, MD

  • M.S. in Comptuer Science, University of Maryland, College Park, MD

  • B.S. (Comp Studies), University of Hong Kong, 1990·M. Sc. in Comptuer Science, University of Maryland, College Park, MD


D. King-Ip Lin is an Associate Professor at the Department of Computer Science at SMU Lyle. His research areas include Database Management Systems, Data Mining and Natural Language Processing. His current research topics include topic modeling, common sense reasoning and sentiment detection. In addition, Dr Lin is also engaged in inter-disciplinary research. He has involved in research with different disciplines, such as medicine (with funding from National Institute of Health) and architecture (with funding from National Endowment of Humanities).

Honors and Awards

  • Co-PI, “Digital Floor Plan Database: A New Method for Analyzing Architecture” NEH Digital Humanities Advancement Grants,  Jan 2017 – Aug 2018            

  • Co-PI, “The Importance of Language Characteristics in Documenting Clinical Encounters” NIH Challenge Grant (Sep 2009 – Aug 2012)     

  • Finalist, 10-year best paper award, International Conference of Database Systems for Advanced Applications (DASFAA)



  • Natural Language Processing
  • Database Systems
  • Data mining


Elise King, Katie Pierce Meyer, King-Ip (David) Lin, “Semi-automatic Residential Floor Plan Detection: Developing a Tool for Humanities Research.”ACM Journal on Computing and Cultural Heritage 15(4): 1-19 (2022)

King-Ip Lin, Sabrina Peng, “Enhancing Digital History – Event discovery via Topic Modeling and Change Detection”, Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities, December 2022

Lin, K.I., Kim, A., Improving topic model visualization via Multi-dimensional scaling and cliques, the 31st International Conference of the Florida Artifical Intelligence Research Society, May 2018

Brown, R., Moody-Ramirez., King-Ip Lin. Content Analysis: YouTube Responses to President Obamas Amazing Grace Rendition. Society of Science and Education, 3(10), October 2016.

Stephen M. Ash, King-Ip Lin  (2016). Grapheme to Phoneme Translation Using Conditional Random Fields with Re-Ranking (pp. 314-325). In Text, Speech, and Dialogue, Proceedings of the 19th International Conference, Sep 2016.