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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 46)
Daejeon, South Korea
Other names Mia
Alma mater KAIST
Known for Facts before Rumors research, 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, Max Planck Institute for Security and Privacy
Theses
  • Resource-Constrained Low-Power Bus Encoding with Crosstalk Delay (2004)
  • Network Support for Emerging Multimedia Streaming Services (2008)
Doctoral advisors Moon Sue (Hangul: 문수복)
Other academic advisors Kim Taewhan
Korean name
Hangul
차미영
Hanja
車美英
RR Cha Miyeong
MR Ch'a Miyŏng

Cha Meeyoung (Hangul: 차미영; born July 28, 1979), also known as Mia, is a professor at KAIST in South Korea. She is also a main researcher at the Pioneer Research Center for Mathematical and Computational Sciences, which is part of the Institute for Basic Science. Her work focuses on understanding how information spreads online and how people use social media. She uses data science and machine learning to study these topics. Since June 2024, she has been a scientific director at the Max Planck Institute for Security and Privacy in Germany.

Early Life and Schooling

Mia was born in Daejeon, South Korea. She grew up in Chuncheon, where she often spent time thinking. As a child, she sometimes played with the daughter of famous novelist O Jeonghui, who lived in the same building.

She attended Bongeui Middle School. Later, she was one of the few female students at Kangwon Science High School. All of Mia's higher education happened at the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, South Korea. She first wanted to study astrophysics because she loved stars, just like her father, who was a physicist. However, KAIST did not have a degree in astrophysics. So, she chose to study computer science. She earned her bachelor's degree with great honors, known as magna cum laude. She then continued her studies at KAIST, earning both her master's and Ph.D. degrees.

Her Work and Research

In 2008, after finishing her Ph.D., Mia worked as a researcher at the Max Planck Institute for Software Systems. She then returned to KAIST, where she became a professor. She also worked as a science and technology advisor for companies like SK Telecom and the Korea Internet Self-Governance Organization.

In 2015, Mia visited Facebook in California to work with their Data Science Team. In 2019, she helped start the Data Science Group at the Institute for Basic Science (IBS). This group studies important topics like fake news and how people's opinions are shaped by artificial intelligence (AI). They also use deep learning to understand human behavior and predict trends by looking at language and images.

During the COVID-19 pandemic, Mia's group noticed a lot of false information spreading online. To help, they started a project called "Facts Before Rumors." This project worked in many languages to help people tell the difference between true information and rumors.

Mia is also involved with several important organizations. She is a science helper for the World Customs Organization. She is also a member of the Seoul Forum for International Affairs and serves on various councils and commissions related to intellectual property, data, and taxes in South Korea.

In June 2024, Mia moved to Germany to become a scientific director at the Max Planck Institute for Security and Privacy. There, she leads a research group focused on "Data Science for Humanity." She is the first director from South Korea and the second Asian female scientist to hold such a high position at the Max Planck Society.

Awards and Special Recognitions

Mia has received many awards for her important work:

  • 2024: Hong Jin-Ki Creator Award
  • 2022: Test of Time Award from the Association for Computing Machinery (ACM) SIGCOMM
  • 2022: Commendation from the Ministry of Science and ICT
  • 2020: Test of Time Award, International Conference on Web and Social Media
  • 2019: Young Information Scientist Award from the Korean Institute of Information Scientists and Engineers
  • 2016: Became a lifetime member of the Korean Institute of Information Scientists and Engineers
  • 2012: Best Paper Award, 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 Award, ACM Internet Measurement Conference

See also

  • Hamed Haddadi
  • Pablo Rodriguez
  • Xing Xie
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