Hyunggu Jung

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Assistant Professor
Department of Computer Science and Engineering
College of Engineering
University of Seoul

Rm 207, Information and Technology Building
163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul 02504, Republic of Korea
Web: http://hyunggujung.com/
Phone: +82 2 6490 2455
Email: hjung [at] uos [dot] ac [dot] kr

[Curriculum Vitae] [Google Scholar] [PubMed] [LinkedIn]

Research intern opportunities for undergraduate students

Would you be interested in contributing to our community through techniques and methods in Artificial Intelligence, Health Informatics, and Human-Computer Interaction?

Visit [학부연구생 인턴 모집공고] and feel free to email me if you are interested in discussing any potential research opportunities.

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About me

Hyunggu Jung is an assistant professor of Computer Science and Engineering at the University of Seoul and directs HCAIL (Human-Centered Artificial Intelligence Lab). He was an assistant professor of Software Convergence at Kyung Hee University from April 2018 to August 2019. He received his Ph.D. in Biomedical and Health Informatics in 2017, under the supervision of Drs. Peter Tarczy-Hornoch and Mark Zachry, at the University of Washington School of Medicine. He received his B.S. in Computer Science and a minor in Business Economics from Korea Advanced Institute of Science and Technology (KAIST) in 2008, and his M.Math. degree from the University of Waterloo in 2010, under the supervision of Prof. Robin Cohen, and his M.S. degree with a Human-Computer Interaction (HCI) specialization from Stanford University in 2012. He is a recipient of the Korean Government Scholarship and Mogam Science Scholarship.

Videos

Design Thinking Final Presentation (SWCON103)
Datacenter Programming Course Overview (SWCON221)
‘MASTerful’ Matchmaking in Service Transactions (CHI'16)

Research

He has designed, developed, and evaluated methods and applications to support users in multiple domains: health, social media, sharing economy, and education. His recent research has focused on the following three areas:

  • Data-driven Design: supporting multiple stakeholders with special needs by creating tools through data-driven approaches

    • Smartphone app leveraging food images to support older adults with diabetes (Doctoral research)

    • Social network analysis of visually impaired people on video-based social media platforms

    • Data-driven personas for creating mHealth technology to support North Korean defectors with depression

    • Matching algorithm for service transaction using a text classification algorithm for facilitating peer-to-peer exchanges in sharing economy with Dr. Victoria Bellotti (PARC)

  • Data-driven Decision Making: improving decision-making process through the development of theoretical/technical models leveraging Big Data

    • Predictive model of head and neck tumor metastasis from sparse data sources using formal anatomic knowledge representations with Prof. Mark Whipple (BHI)

    • Automated reasoning architecture, GuideLine INteraction Detection Architecture (GLINDA), that generates recommendations from multiple clinical guidelines with Prof. Mark Musen (Stanford BMIR)

    • Framework for reasoning about benefits and costs of interaction with users in real-time decision making environments with Prof. Robin Cohen (Waterloo AI Group)

  • Data Visualization: analyzing data from multiple resources through data visualization

    • Visualization of multi-dimensional user data in Wikipedia for facilitating potential collaborations of advanced editors with Prof. Mark Zachry (HCDE)

    • Visualization of anomalies in multi-clinic electronic health records (EHR) data with Prof. Kari Stephens (ITHS)

    • Visualization of patient demographics from multiple facilities across time for cohort discovery (i.e., FindIT 1.0, FindIT 2.0) with Prof. Kari Stephens (ITHS)

    • Visualization of behavior data of audiences while attending presentations with Dr. Shamsi Iqbal (MSR)

Selected Publications

  • Understanding the Community of Blind or Visually Impaired Vloggers on YouTube
      Seo W, Jung H
      In Universal Access in the Information Society 2020  [url]

  • Understanding Users Privacy Attitudes through Subjective and Objective Assessments: An Instagram Case Study
      Han K, Jung H, Jang J, Lee D
      In IEEE Computer 2018  [pdf]

  • Development of a Novel Markov Chain Model for the Prediction of Head and Neck Squamous Cell Carcinoma Dissemination
      Jung H, Law A, Grunblatt E, Wang LL, Kusano A, Mejino Jr. JLV, Whipple ME
      In AMIA 2016  [pdf]

  • ‘MASTerful’ Matchmaking in Service Transactions: Inferred Abilities, Needs and Interests versus Activity Histories
      Jung H, Bellotti V, Doryab A, Leitersdorf D, Chen J, Hanrahan B, Lee S, Turner D, Dey A, Carroll JM
      In CHI 2016  [pdf] [video]

  • Biological Model Development as an Opportunity to Provide Content Auditing for the Foundational Model of Anatomy Ontology
      Wang LL, Grunblatt E, Jung H, Kalet IJ, Whipple ME
      In AMIA 2015  [pubmed]

  • Designing Tools to Support Advanced Users in New Forms of Social Media Interaction
      Jung H, Hong SR, Meas P, Zachry M
      In SIGDOC 2015  [pdf]

  • Examining Researcher Needs and Barriers for using Electronic Health Data for Translational Research
      Stephens KA, Lee ES, Estiri H, Jung H
      In AMIA Joint Summits Translational Science 2015  [pubmed]

  • Visualizing Anomalies in Electronic Health Record Data: The Variability Explorer Tool
      Estiri H, Chan YF, Baldwin LM, Jung H, Cole A, Stephens KA
      In AMIA Joint Summits Translational Science 2015  [pubmed]

Full list of publications.