Charmgil Hong Email and Phone Number
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Charmgil Hong personal email
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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
Handong Global University
View- Website:
- handong.edu
- Employees:
- 363
-
Associate ProfessorHandong Global UniversityPohang-Si, Kr -
Assistant ProfessorHandong Global University Feb 2019 - PresentPohang, North Gyeongsang, South Korea* Teaching Machine Learning, Database Management Systems, Data Structures, C Programming, and Intro to Engineering Design.* Leader, Handong AI Lab (HAIL). -
Postdoctoral AssociateUniversity Of Pittsburgh Oct 2017 - Dec 2018Pittsburgh, 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 -
Graduate Student ResearcherUniversity Of Pittsburgh May 2011 - Aug 2017Pittsburgh, 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) -
Teaching AssistantUniversity Of Pittsburgh Aug 2010 - Apr 2014Pittsrbugh, 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 -
Research InternSiemens May 2015 - Aug 2015Princeton, 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 -
Research InternBosch Research And Technology Center Jun 2014 - Aug 2014Palo 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 -
ResearcherHandong Global University Jan 2010 - Jul 2010Pohang, 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
Charmgil Hong Education Details
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Computer Science -
Graduated With Distinction
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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