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Chun, Soon
City University of New York
Staten Island, New York
 
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Soon Ae Chun is a City University of New York (CUNY) College of Staten Island (CSI) professor and director of its Information Systems and Informatics (ISI) program. She also teaches at the CUNY Graduate Center (GC) in both the computer science PhD program and the Master’s program in data science. She is the director of the National Science Foundation (NSF)-sponsored Information Security Research and Education Lab (iSecure Lab). In 2018, she was awarded a Fulbright Senior Scholarship. She received the CSI President’s Dolphin Award for Outstanding Scholarly Achievement in 2014.

Dr. Chun applies data management, data analytics, machine learning, and semantic web and knowledge-based approaches to security, privacy, digital government, smart cities, and digital health. She served as president of the Digital Government Society from 2016 to 2017, and is a founding editor-in-chief of Digital Government: Research and Practice (DGOV).

Her research has been funded by NSF, the National Oceanic and Atmospheric Administration (NOAA), New Jersey state government agencies, the National Research Foundation of Korea, and the Professional Staff Congress (PSC-CUNY). She is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM).

She has been a CR reviewer since 2013.

 
 
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   Online social trust reinforced personalized recommendation
Cheng Y., Liu J., Yu X. Personal and Ubiquitous Computing 20(3): 457-467, 2016.  Type: Article

The authors propose an online social trust model that consists of public trust users and private trust users for use in a recommender algorithm. The public trust users are defined as users who have a large number of fans in the social ...

Dec 21 2016  
   Predictive analytics and data mining: concepts and practice with RapidMiner
Kotu V., Deshpande B., Morgan Kaufmann Publishers Inc., San Francisco, CA, 2014. 446 pp.  Type: Book (978-0-128014-60-8)

As organizations are flooded with data, data analytics has emerged as an essential task for gaining insights for data-driven decision making. The popularity and importance of data analytics and data mining have been demonstrated by the...

Nov 30 2015  
 
 
   
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