Hi, I am a Research Scientist in the Visualization Group in the Computer Science & Mathematics Division at the Oak Ridge National Laboratory (ORNL) .
My research focuses on Visual Analytics and Human-Computer Interaction (HCI) by combining Human Analytical Capabilities (e.g., visual processing and cognition) and Data Analytics Techniques (e.g., machine learning, and AI) for Human Intelligence Amplification.
My work can be categorized into two parts: visual analytics for human-generated big data and visual analytics for machine learning (ML) and artificial intelligence (AI). My primary research goal is to develop visual analytics, where human analytical capabilities, such as visual processing and cognition and human-computer interaction (HCI), collaborated with other ML and statistical analytics techniques. Since I joined Oak Ridge National Laboratory (ORNL), my focus has been on supporting humans in leveraging visual analytics to analyze and understand the outputs of AI/ML models. These researches have been featured by a mechanism, “human-in-the-loop,” allowing humans to interact with machines continuously through visual methods.
I earned my Ph.D. degree in Electrical and Computer Engineering at Purdue University in 2016. My doctoral research was conducted under the direction of Prof. David S. Ebert. Before the doctoral study, I was a software engineer in many industrial fields: security, computer network, and electronic commerce.
My research focuses on Visual Analytics and Human-Computer Interaction (HCI) by combining Human Analytical Capabilities (e.g., visual processing and cognition) and Data Analytics Techniques (e.g., machine learning, and AI) for Human Intelligence Amplification.
My work can be categorized into two parts: visual analytics for human-generated big data and visual analytics for machine learning (ML) and artificial intelligence (AI). My primary research goal is to develop visual analytics, where human analytical capabilities, such as visual processing and cognition and human-computer interaction (HCI), collaborated with other ML and statistical analytics techniques. Since I joined Oak Ridge National Laboratory (ORNL), my focus has been on supporting humans in leveraging visual analytics to analyze and understand the outputs of AI/ML models. These researches have been featured by a mechanism, “human-in-the-loop,” allowing humans to interact with machines continuously through visual methods.
I earned my Ph.D. degree in Electrical and Computer Engineering at Purdue University in 2016. My doctoral research was conducted under the direction of Prof. David S. Ebert. Before the doctoral study, I was a software engineer in many industrial fields: security, computer network, and electronic commerce.
Education
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Ph.D. in Electric and Computer Engineering at Purdue University, USA
2016
Thesis: Visual analytics of location-based social networks for decision support
Advisor: David S. Ebert -
M.S. in Electric and Computer Engineering at Purdue University, USA
2011
Advisor: David S. Ebert - B.S. in Computer Engineering and Electrical Engineering (Dual Major) at Kyung Hee University, South Korea 2008
Professional Experience
- Oak Ridge National Laboratory, Research Scientist at Visualization Group 2019 - Present
- Oak Ridge National Laboratory, Postdoctoral Research Associate 2017 - 2018
Professional Services
- Reviewer Board: Journal of Big Data and Cognitive Computing 2020 - Present
- Program Committee: IEEE PacificVis Visualization Notes 2017 - Present