Hyunggu Jung

What's new?

  • [June 2018] Invited Talk at the 4th Aslla Symposium, Gangneung, Korea.

  • [June 2018] Our paper has been selected for Roundtable presentation during the APHA's 2018 Annual Meeting & Expo in San Diego (November 2018).

  • [May 2018] Our paper has been accepted to appear at ACM Interactive Experiences for TV and Online Video (TVX) 2018 in Seoul, Korea (June 2018).

  • [Apr. 2018] Our paper has been accepted to appear in the IEEE Computer.

  • [Apr. 2018] Served as an Invited Session Chair at SIGCHI Korea Local Chapter 2018 Spring Academic Workshop.

  • [Apr. 2018] Joined the Department of Software Convergence at Kyung Hee University as an assistant professor.

  • [Mar. 2018] Invited Talk at Department of Computer Engineering, Ajou University, Suwon, Korea.

  • More…

Research opportunities for KHU students

Would you be interested in contributing to our community through techniques and methods in HCI and Data Science? Feel free to email me if you are interested in discussing any potential research opportunities.

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

  • 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  [url]

  • ‘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  [acm dl] [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  [acm dl]

  • 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.