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Cha Meeyoung
차미영 Cha Meeyoung Mia KAIST professor network and data science.jpg
Born (1979-07-28) July 28, 1979 (age 44)
Nationality South Korean
Other names Mia
Alma mater KAIST
Known for Measuring User Influence in Twitter: The Million Follower Fallacy
Scientific career
Fields Social computing, complex networks, data science, social networking services
Institutions Max Planck Institute for Software Systems, KAIST, SK Telecom, Korea Internet Self-Governance Organization, Facebook, Institute for Basic Science
Theses
  • Resource-Constrained Low-Power Bus Encoding with Crosstalk Delay (2004)
  • Network Support for Emerging Multimedia Streaming Services (2008)
Doctoral advisors Moon Sue
Other academic advisors Kim Taewhan
Korean name
Hangul 미영
Hanja
Revised Romanization Cha Miyeong
McCune–Reischauer Ch'a Miyŏng

Cha Meeyoung, sometimes known as Mia, is an associate professor at KAIST in the School of Computing and a chief investigator in the Pioneer Research Center for Mathematical and Computational Sciences at the Institute for Basic Science. Her research focuses on network and data science with an emphasis on modeling, analyzing complex information propagation processes, machine learning-based computational social science, and deep learning. She has served on the editorial boards of the journals PeerJ and ACM Transactions on Social Computing.

Education

The entirety of Meeyoung's higher education has taken place at the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, South Korea. Majoring in computer science, she graduated magna cum laude for her B.S. Within the Graduate School for Culture Technology at KAIST, the adviser for her M.S. was Kim Taewhan, and her Ph.D. was supervised by Sue Moon.

Career

In 2008, Meeyoung worked as a postdoc in Max Planck Institute for Software Systems under adviser Krishna Gummadi. Leaving Max Planck, she returned to her alma mater and became an assistant professor in the Graduate School of Culture Technology later becoming an associate professor joint faculty member in the School of Computing. Outside of KAIST, she worked as a scientific and technical consultant for both SK Telecom and the Korea Internet Self-Governance Organization in 2010 and 2014, respectively.

In 2015, Meeyoung went to Menlo Park to work as a visiting professor with Facebook's Data Science Team hosted by Lada Adamic. In 2019, she and Oum Sang-il were the founding chief investigators of the Pioneer Research Center for Mathematical and Computational Sciences at the Institute for Basic Science (IBS). This and the Pioneer Research Center for Biomolecular and Cellular Structure are the first of two such centers at IBS. Headed by Meeyoung, the Data Science Group researches fake news, perception biases in relation to AI, deep learning of heterogeneous data for modeling human behavior, and prediction efforts through language processing and image analysis. Seeing the infodemic on COVID-19 information starting in China and spreading to Korea and the US, the Data Science Group and researchers from Ewha Womans University, started the multilingual Facts Before Rumors campaign to separate common claims seen online.

She has been named BACUDA science collaborator of the World Customs Organization, is a member of the Seoul Forum for International Affairs, and a commissioner for the Presidential Council on Intellectual Property, Open Data Mediation Committee, National Tax Service, Korea Customs Service, and Korea Copyright Commission.

Awards and honors

  • 2022: Test of Time Award, Association for Computing Machinery (ACM) SIGCOMM
  • 2022: Commendation, 55th Science Day, Ministry of Science and ICT
  • 2020: Test of Time Award, International Conference on Web and Social Media
  • 2019: Young Information Scientist Award, Korean Institute of Information Scientists and Engineers (ko)
  • 2016: Lifetime member, Korean Institute of Information Scientists and Engineers
  • 2012: Best Paper, International AAAI Conference on Web and Social Media
  • 2009: Best Data Workshop Paper, 3rd Int'l AAAI Conference on Weblogs and Social Media
  • 2007: Best Paper, ACM Internet Measurement Conference

Editorial boards

  • 2016–present PeerJ
  • 2016–present ACM Transactions on Social Computing

Selected publications

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