Charmgil Hong Email & Phone Number | I am an Assistant Professor at Handong Global University, Korea. My background is in statistical machine learning and its applications to healthcare data, where the general requirements for model accuracy, reliability, and explainability are very high. My interests lie in solving large and complex data-driven problems using statistical data analytics and machine learning techniques in practical manners, such as: * Customizing generic machine learning methodologies to address domain-specific tasks, including analysis and curation of structured/unstructured data, decision support via structured prediction, and outlier/anomaly detection in complex data * Developing domain-independent methods and software tools for data analysis, predictive modeling, and their utilization in decision making

Charmgil Hong

I am an Assistant Professor at Handong Global University, Korea. My background is in statistical mac...
Pohang, Pohang, South Korea

*50 free lookup(s) per month.

Charmgil Hong’s Email charmgil@handong.edu

Charmgil Hong’s Phone Numbers

Get CHARMGIL’s Phone Number (For Free)

Social Media

Charmgil Hong’s Location Pohang, Pohang, South Korea

Charmgil Hong’s Current Industry Handong Global University

Charmgil Hong’s Prior Industry University Of Pittsburgh | Siemens | Bosch Research And Technology Center

Find accurate emails & phone numbers for over 700M professionals.

Assistant Professor

Present

Assistant Professor

2019-02-01 00:00:00 - Present

Postdoctoral Associate

2017-10-01 00:00:00 - 2018-12-01 00:00:00

Research Intern

2015-05-01 00:00:00 - 2015-08-01 00:00:00

Research Intern

2014-06-01 00:00:00 - 2014-08-01 00:00:00

No Skills Available

No Languages Available

Charmgil Hong is a I am an Assistant Professor at Handong Global University, Korea. My background is in statistical machine learning and its applications to healthcare data, where the general requirements for model accuracy, reliability, and explainability are very high. My interests lie in solving large and complex data-driven problems using statistical data analytics and machine learning techniques in practical manners, such as: * Customizing generic machine learning methodologies to address domain-specific tasks, including analysis and curation of structured/unstructured data, decision support via structured prediction, and outlier/anomaly detection in complex data * Developing domain-independent methods and software tools for data analysis, predictive modeling, and their utilization in decision making

Charmgil Hong has prior
experience in the following industries:
University Of Pittsburgh | Siemens | Bosch Research And Technology Center

Charmgil Hong has the following professional experience:
Handong | Handong Global University | University Of Pittsburgh | Siemens | Bosch Research And Technology Center