Charmgil Hong

Charmgil Hong Email and Phone Number

Associate Professor @ Handong Global University
Pohang-si, KR
Charmgil Hong's Location
Pohang, North Gyeongsang, South Korea, Korea, Republic of
Charmgil Hong's Contact Details

Charmgil Hong personal email

About Charmgil Hong

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's Current Company Details
Handong Global University

Handong Global University

View
Associate Professor
Pohang-si, KR
Website:
handong.edu
Employees:
363
Charmgil Hong Work Experience Details
  • Handong Global University
    Associate Professor
    Handong Global University
    Pohang-Si, Kr
  • Handong Global University
    Assistant Professor
    Handong Global University Feb 2019 - Present
    Pohang, North Gyeongsang, South Korea
    * Teaching Machine Learning, Database Management Systems, Data Structures, C Programming, and Intro to Engineering Design.* Leader, Handong AI Lab (HAIL).
  • University Of Pittsburgh
    Postdoctoral Associate
    University Of Pittsburgh Oct 2017 - Dec 2018
    Pittsburgh, Pa, Usa
    * Lead as a core contributor in a real-time clinical outlier detection project for ICU patient monitoring (PI: Dr. Milos Hauskrecht)* Conduct predictive data analysis and modeling at various levels of granularity with a large volume of time series data (45k distinct medical time series of 80k ICU patients), on the cloud computing environment that University of Pittsburgh Medical Center (UPMC) operates, to deliver a high-performing medical/clinical error monitoring system* Collaborate with domain experts to gain insights from clinical practices and validate findings from statistical data analysis; Work with clinician to evaluate the outlier detection (error detection) performance and reliability
  • University Of Pittsburgh
    Graduate Student Researcher
    University Of Pittsburgh May 2011 - Aug 2017
    Pittsburgh, Pa, Usa
    * Primary focus: Multi-Label Classification that aims to learn and predict multi-dimensional output (multiple class labels or response variables); Conditional Outlier Detection that identifies unusual output patterns given observed context* Developed probabilistic graphical models and algorithms that are optimized to make multiple, simultaneous decisions* Implemented and operated ETL and machine learning pipelines that perform data preprocessing and selection, feature generation, model building (training and validation), and outlier alerting in an automated and scalable manner (using Java, Scala, and Python)
  • University Of Pittsburgh
    Teaching Assistant
    University Of Pittsburgh Aug 2010 - Apr 2014
    Pittsrbugh, Pa, Usa
    * Taught both graduate- and undergraduate-level Artificial Intelligence and Machine Learning* Taught undergraduate-level Algorithm Implementation, Intermediate Java Programming, and Formal Methods in Computer Science
  • Siemens
    Research Intern
    Siemens May 2015 - Aug 2015
    Princeton, Nj, Usa
    * Research Topic: Sensor data analysis and multi-target regression for effective facility maintenance* Proposed a structured multi-dimensional regression framework to model the reliability and failure of mechanical devices; Demonstrated 10-30% improvement, compared with the previous multi-task learning approaches, in predicting future states of target systems* Implemented an R package for structured prediction* Filed an invention disclosure to Siemens
  • Bosch Research And Technology Center
    Research Intern
    Bosch Research And Technology Center Jun 2014 - Aug 2014
    Palo Alo, Ca, Usa
    * Research Topic: Cost-sensitive decision-theoretic classification/rule mining for automated identification of scraps from manufacturing processes* Our proposed classification method outperformed the existing rule-based approaches by 55%* Filed a US patent application* Implemented a Java software package that supports decision making in class-imbalance and cost-sensitive scenarios
  • Handong Global University
    Researcher
    Handong Global University Jan 2010 - Jul 2010
    Pohang, Gyeongsangbuk-Do, Korea
    * Planned and proposed strategies and methods for Official Development Assistance (ODA) to the Korean Government* Organized and administered international development projects that were funded by the UNITWIN/UNESCO Chairs Programme, Korean Ministry of Education, Science and Technology, and National Research Foundation of Korea

Charmgil Hong Skills

C++ Latex C Python Algorithms Java Matlab Programming Research Linux Machine Learning Computer Science Data Mining Data Analysis Software Development Statistics Sql Artificial Intelligence Mysql Sqlite Predictive Analytics Predictive Modeling Statistical Data Analysis Big Data Analytics Data Analytics Data Modeling Data Processing Data Preparation Problem Solving Collaborative Problem Solving Forecasting

Charmgil Hong Education Details

Frequently Asked Questions about Charmgil Hong

What company does Charmgil Hong work for?

Charmgil Hong works for Handong Global University

What is Charmgil Hong's role at the current company?

Charmgil Hong's current role is Associate Professor.

What is Charmgil Hong's email address?

Charmgil Hong's email address is ch****@****itt.edu

What schools did Charmgil Hong attend?

Charmgil Hong attended University Of Pittsburgh, Handong Global University.

What are some of Charmgil Hong's interests?

Charmgil Hong has interest in Machine Learning.

What skills is Charmgil Hong known for?

Charmgil Hong has skills like C++, Latex, C, Python, Algorithms, Java, Matlab, Programming, Research, Linux, Machine Learning, Computer Science.

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