I’m looking for PhD students to join me in exploring Music Information Retrieval and Digital Humanities. If interested, I encourage you to apply to our PhD program!
Luddy School of Informatics, Computing, and Engineering, 2021
The Luddy Faculty Fellows program is designed to support excellence in research, funded as part of a transformative $60 million gift from Fred Luddy in 2019.
Spring 2017, Fall 2015, Spring 2015, Fall 2014, Spring 2014, Fall 2013, and Spring 2013
Publications
Academic Peer-Reviewed Publications
Soo Hyeon Kim, Gi Woong Choi, Kahyun Choi, Andrea Copeland, Christine D’Arpa, Sarah Evans, Simpson Lance, Hee Rin Lee, Ayoung Yoon, “Public Library-University Research Partnerships in Library and Information Science: Exploring the Benefits, Challenges, and Strategies for Community-Engaged Scholarship,” Library Quarterly, 2025
Kahyun Choi and Gyuri Kang, “An Analysis of Poet Demographic and Thematic Diversity in a Poetry Collection for Inclusive AI,” in Proceedings of the 20th iConference, 2025
Kahyun Choi and Minje Kim, “A Comparative Analysis of Poetry Reading Audio: Singing, Narrating, or Somewhere In Between?” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Kahyun Choi, “Word Embedding-Based Text Complexity Analysis,” in Proceedings of the 19th iConference, 2024
Selin Akgun, Hee Rin Lee, Kahyun Choi, Joseph Krajcik, “Supporting AI literacy in K-12 Science Education: Raising Critical Consciousness towards Ethical AI,” in NARST 2024 Annual International Conference, 2024
Kahyun Choi, “Computational Thematic Analysis of Poetry via Bimodal Large Language Models,” the Association for Information Science and Technology (ASIS&T), 2023 (Acceptance rate: 28%)
Kahyun Choi, “Bimodal Music Subject Classification via Context-Dependent Language Model,” in Proceedings of the 16th iConference, 2021.
Kahyun Choi and J. Stephen Downie, “A Trend Analysis on Concreteness of Popular Song Lyrics,” in Proceedings of the 6th International Conference on Digital Libraries for Musicology (DLfM), 2019.
Kahyun Choi and J. Stephen Downie, “Exploratory investigation of word embedding in song lyric topic classification: promising preliminary results,” In Proceedings of the IEEE/ACM Joint Conference in Digital Libraries (JCDL), 2018.
Anders Friberg, Ragnar Schön, Anders Elowsson, Kahyun Choi, and J. Stephen Downie, “Cross-cultural aspects of perceptual features in K-Pop: A pilot study comparing Chinese and Swedish listeners,” in Proceedings of the 43rd International Computer Music Conference, (ICMC), 2017
Xiao Hu, Kahyun Choi, J. Stephen Downie, “A Framework for Evaluating Multimodal Music Mood Classification,” Journal of the Association for Information Science and Technology (JASIST), vol. 68, no. 2, pp. 273-285, 2017.
Xiao Hu, Kahyun Choi, Yun Hao, Sally Jo Cunningham, Jin Ha Lee, Audrey Laplante, David Bainbridge, and J. Stephen Downie, “Exploring the Music Library Association Mailing List: A Text Mining Approach,” in Proceedings of the 18th International Society for Music Information Retrieval Conference, (ISMIR), 2017
Kahyun Choi, Jin Ha Lee, Xiao Hu, and J. Stephen Downie, “Music Subject Classification Based on Lyrics and User Interpretations,” Proceedings of the American Society for Information Science and Technology (ASIS&T), 2016.
Xiao Hu, Kahyun Choi, Jin Ha Lee, Audrey Laplante, Yun Hao, Sally Jo Cunningham, and J. Stephen Downie, “WiMIR: An Informetric Study on Women Authors in ISMIR,” in Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR), 2016.
Yun Hao, Kahyun Choi, and J. Stephen Downie, ” Exploring J-DISC: Some Preliminary Analyses,” in Proceedings of the 3rd International Digital Libraries for Musicology workshop (DLfM), 2016.
Xiao Hu, Jin Ha Lee, David Bainbridge, Kahyun Choi, Peter Organisciak, and J. Stephen Downie, “The MIREX Grand Challenge: a framework of holistic user experience evaluation in music information retrieval,” Journal of the Association for Information Science and Technology (JASIST), vol. 68, no. 1, pp. 97-112, 2015.
Jin Ha Lee, Xiao Hu, Kahyun Choi, and J. Stephen Downie, “MIREX Grand Challenge 2014 on User Experience: Qualitative analysis of user feedback”, in Proceedings of the 16th International Society for Music Information Retrieval Conference, (ISMIR), 2015.
Kahyun Choi, Jin Ha Lee, Craig Willis, J. Stephen Downie, “Topic Modeling Users’ Interpretations of Songs to Inform Subject Access in Music Digital Libraries,” In Proceedings of the IEEE/ACM Joint Conference in Digital Libraries (JCDL), 2015.
J. Stephen Downie, Xiao Hu, Jin Ha Lee, Kahyun Choi, Yun Hao, and Sally Jo. Cunningham, “Ten Years of MIREX (Music Information Retrieval Evaluation eXchange): Reflections, Challenges and Opportunities,” in Proceedings of the International Society of Music Information Retrieval Conference (ISMIR), Taipei, Taiwan, Oct. 2014.
Xiao Hu, Jin Ha Lee, Kahyun Choi, and J. Stephen Downie, “A Cross-Cultural Study of Mood in K-POP Songs,” in Proceedings of the International Society of Music Information Retrieval Conference (ISMIR), Taipei, Taiwan, Oct. 2014.
Kahyun Choi, Jin Ha Lee, and J. Stephen Downie, “What is this song about anyway?: Automatic classification of subject using user interpretations and lyrics,” In Proceedings of the IEEE/ACM Joint Conference on Digital Libraries (JCDL), pp. 453-454, Sep. 2014.
Jin Ha Lee, Kahyun Choi, Xiao Hu, and J. Stephen Downie, “K-Pop Genres: A Cross Cultural Exploration”, in Proceedings of the International Society of Music Information Retrieval Conference (ISMIR), Curitiba, Brazil, Oct. 2013.
Workshop Abstracts and Panels
Soo Hyeon Kim, Gi Woong Choi, Kahyun Choi, Andrea Copeland, Christine D’Arpa, Sarah Evans, Simpson Lance, Hee Rin Lee, Ayoung Yoon, “Public Library-University Partnerships in Library and Information Science: Approaches, Challenges, Implications for Translating Research into Practice,” the Association for Information Science and Technology (ASIS&T) [Panel], 2023
Ji Youn Shin, Kahyun Choi, Hee Rin Lee, “Community-engaged design for STEM education: Students as co-designers of AI programs in public libraries,” in Child-Centred AI Design: Definition, Operation, and Considerations, ACM CHI 2023 Workshop, 2023
Kahyun Choi, “Computational Poetry Collection Analysis via Context-Dependent Language Models,” in ASIS&T SIG AI Workshop, 2022.
Hee Rin Lee, Kahyun Choi, Selin Akgun, Ji Youn Shin, Pooja Malvi, Meredith Dedema, “AI & Co-design in public libraries: Empowering underserved youth to cultivate symbiotic relationships between Artificial Intelligence (AI) and their communities,” in ASIS&T SIG AI Workshop, 2022. (Best Presentation Award)
Student Advising
Research Assistantship Advising
Gyuri Kang (ILS PhD at IU), Summer 2024
Leyi Zhao (ILS PhD at IU), Fall 2023-Spring 2024
Meredith Dedema (ILS PhD at IU), Summer 2022-Spring 2023
Shruti Padole (CS MS at IU), Summer 2022-Spring 2023
Selin Akgun (Education PhD at MSU), Spring 2022-Summer 2022
PhD Dissertation Committee Member
Haining Wang (ILS PhD at IU), Spring 2024 –
Tamy Chambers (ILS PhD at IU), Fall 2023 –
Zheng Gao (ILS PhD at IU), 2020
PhD Qualifying Exam Committee Member
Pei-Ying Chen (ILS PhD at IU), 2021
Independent Studies (at IU)
Gyuri Kang (ILS PhD at IU), Spring 2024
Haining Wang (ILS PhD at IU), Spring 2023 – Fall 2023
Meredith Dedema (ILS PhD at IU), Spring 2023
Sasidev Mahendran(Data Science MS at IU), Spring 2023
Sumitha Vellinalur Thattai (Data Science MS at IU), Spring 2023
Emerging Scholars Research Experience for Undergraduate Women Mentor (at IU)
Alexa Walquist (Undergraduate at Kelley School at IU), Fall 2022-Spring 2023
Women in Music Information Retrieval (WiMIR) Mentor
Eunjin Choi (PhD at Graduate School of Culture Technology at KAIST), Spring 2022
Professional Activities
Advisory Board Membership
Audiovisual Metadata Platform, Indiana University (IU) Libraries, Andrew W. Mellon Foundation, 2022-2023
Professional Memberships
American Library Association
Young Adult Library Services Association
American Society for Information Science & Technology
Research Community Work
The International Society for Music Information Retrieval Conference (ISMIR), Meta-Reviewer, 2024
The International Digital Libraries for Musicology workshop (DLfM), Program Committee, 2024
The International Society for Music Information Retrieval Conference (ISMIR), Meta-Reviewer, 2023
The International Digital Libraries for Musicology workshop (DLfM), Program Committee, 2023
The International Society for Music Information Retrieval Conference (ISMIR), Meta-Reviewer, 2022
The International Society for Music Information Retrieval Conference (ISMIR), Volunteer Chair, 2021
The International Society for Music Information Retrieval Conference (ISMIR), Meta-Reviewer, 2021
The International Digital Libraries for Musicology workshop (DLfM), Session Chair, 2021
The International Digital Libraries for Musicology workshop (DLfM), Program Committee, 2021
The International Society for Music Information Retrieval Conference (ISMIR), Meta-Reviewer, 2020
Midwest Music and Audio Day, Bloomington, IN, Organizing Committee (June 27, 2019)
The Music Information Retrieval Evaluation eXchange (MIREX), Evaluation Committee leader, (Aug. 2014 – Aug. 2016)
The Music Information Retrieval Evaluation eXchange (MIREX), Evaluation Committee member, (Aug. 2011 – Aug. 2013)
Reviewer of Journals and Conferences
Transactions of the International Society for Music Information Retrieval (TISMIR)
The International Society for Music Information Retrieval Conference (ISMIR)
The American Society for Information Science and Technology (ASIS&T)
ACM Transactions on Intelligent Systems and Technology (TIST)
International Journal on Digital Libraries (IJDL)
Institutional Services at IU
Doctoral Steering Committee, ILS
Faculty Affairs Committee, Chair, ILS
Master of Information Science (MIS) Review Committee, ILS
Data Science Curriculum Committee, Luddy School
Luddy Fellow Selection Committee, Luddy School
Graduate Student Visit Day Planning Committee, Luddy School
Departmental Colloquium Committee, October 2019-December 2021
Outreach and Community Engagement Activities
Maryland AI Workshop for Teens, Carroll County Public Library, Maryland, March 4 and April 4, 2023
“AI for Libraries and Libraries for AI,” Luddy Fellows Research Spotlight, April 5, 2023
“AI for Libraries,” 2022-2023 Luddy Faculty Fellows Talk, March 7, 2023
“Unbiased AI for Poetry Analysis: Toward Equitable and Diverse Digital Libraries,” Pervasive Technology Institute Speaker Series, Bloomington, December 2, 2022
“Computational Lyricology“, The Georgia Tech Center for Music Technology Seminar, Georgia Institute of Technology, September 12, 2022.
“Music Trend Analysis“, IU JSOM Music and Mind Lab, Bloomington, May 2, 2022.
“Information Retrieval“, Digital Libraries (LIS560LE), Spring 2015.
“Automatic Music Subject Classification and a Cross-Cultural Exploration of K-Pop Genre,” Shazam, Menlo Park, CA, Aug. 14, 2014.
“A Cross-Cultural Study on the Mood and Genre of Korean Pop Songs“, Pandora Radio, Oakland, CA, Jun. 19, 2014.
“A Cross-cultural Exploration of K-Pop Moods and Genres“, KTH Royal Institute of Technology, Sweden, May 3, 2014 – May 9, 2014.
Panels
Soo Hyeon Kim, Gi Woong Choi, Kahyun Choi, Andrea Copeland, Christine D’Arpa, Sarah Evans, Simpson Lance, Hee Rin Lee, Ayoung Yoon, “Public Library-University Partnerships in Library and Information Science: Approaches, Challenges, Implications for Translating Research into Practice,” the Association for Information Science and Technology (ASIS&T) [Panel], 2023
Talks at Workshops and Doctoral Colloquia
Kahyun Choi, “Insights from an Introductory Music-Based ML Course for Library Science Students,” DH2024 Workshop Teaching Machine Learning to Humanists, Aug. 6, 2024.
Kahyun Choi, “Toward Equitable and Diverse Digital Poetry Libraries,” DH2024 Workshop Computational Literary Studies: How To Do Research Responsibly, Aug. 5, 2024.
Hee Rin Lee and Kahyun Choi, “Hands-On AI Literacy Programs for Youth,” YALSA education session (webinar), Nov. 30, 2023.
Hee Rin Lee and Kahyun Choi, “AI Literacy for Libraries,” YALSA’s Young Adult Services Symposium, St. Louis, MO, Nov. 10-12, 2023.
Kahyun Choi, “Computational Poetry Collection Analysis via Context-Dependent Language Models,” ASIST AI workshop, 2022.
Hee Rin Lee, Kahyun Choi, Selin Akgun, Pooja Malvi, Ji Youn Shin, and Meredith Dedema, “AI & Codesign in public libraries: Empowering underserved youth to cultivate symbiotic relationships between Artificial Intelligence (AI) and their communities,” ASIST AI workshop, 2022. (Best Presentation Award)
Kahyun Choi, “Music Thumbnailing“, 2016 Annual Meeting of the Association for Information Science and Technology (ASIS&T) Doctoral Colloquium, Copenhagen, Denmark, Oct. 18, 2016.
Kahyun Choi, “From Lyrics to Their Interpretations: Automated Reading between the Lines“, the IEEE/ACM Joint Conference in Digital Libraries (JCDL) Doctoral Consortium, 2015
Posters
Kahyun Choi, “Topic Modeling Users’ Interpretations of Songs to Inform Subject Access in Music Digital Libraries“, GSLIS Research Showcase 2015, Apr. 3, 2015.
Kahyun Choi, “The Impact of Music Genre on Music Similarity: A Qualitative Exploration“, GSLIS Research Showcase 2015, Apr. 3, 2015.
