Hyunggu Jung

alt text 

Assistant Professor
Department of Software Convergence
College of Software
Kyung Hee University

Rm 443-1, College of Software
1732 Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 17104, Republic of Korea
Web: http://www.hyunggujung.com/
Phone: +82 31 201 2748
Email: hgjung [at] khu [dot] ac [dot] kr

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

What's new?

  • [Mar. 2019] Invited Talk at Department of Computer Science and Engineering, POSTECH, Pohang, Korea. [abstract]

  • [Mar. 2019] Our paper has been accepted to appear at Finnish Journal of eHealth and eWelfare.

  • [Mar. 2019] SWCON221 Datacenter Programming course overview video available. [video]

  • [Feb. 2018] Invited Talk at MR-IoT Convergence Disaster Response AI Research Workshop, Suwon, Korea.

  • [Feb. 2019] Our paper has been accepted to appear at Asian CHI Symposium: Emerging HCI Research Collection in Glasgow, UK (May 2019).

  • [Feb. 2019] Our papers were presented at HCI Korea 2019 in Jeju, Korea.

  • [Jan. 2019] Selected as one of the presenters at the CHI 2019 Career Development Symposium in Glasgow, UK (May 2019).

  • [Jan. 2019] SWCON103 Design Thinking final presentation video available. [video]

  • [Dec. 2018] Four papers have been accepted to appear at HCI Korea 2019 in Jeju, Korea (Feb. 2019).

  • [Nov. 2018] Attended the ACM Symposium on Virtual Reality Software and Technology (VRST) 2018, Tokyo, Japan.

  • [Nov. 2018] Our paper was presented at the Roundtable presentation during the APHA's 2018 Annual Meeting & Expo in San Diego. [url]

  • [Sep. 2018] Started a research project on the Development of a Smartphone Application for Dietary Assessment funded by Kyung Hee University as a Principle Investigator

  • [June 2018] Started a research project on AI Application Technology with MR-IoT Convergence to Countermeasure Disasters funded by Institute for Information & Communications Technology Promotion (IITP) as a Co-Investigator

  • More…

Videos

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

About me

Hyunggu Jung is an assistant professor of Software Convergence at Kyung Hee University. 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.

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 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.