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Faculty

프린트페이스북

Il-Chul Moon

Ph.D. in Computation, Organization and Society,
Carnegie Mellon University, 2008

Education

  • 2004 Seoul National University. Computer Science & Engineering B.S.
  • 2008 Carnegie Mellon University. Computation, Organization, and Society Ph.D.

Research experience

  • 2008.8 ~ 2011.9: Postdoctoral Researcher, Department of Electrical Engineering, KAIST
  • 2011.9 ~ 2017.8 : Assistant Professor, Department of Industrial and Systems Engineering, KAIST
  • 2017.9 ~ Current : Associate Professor, Department of Industrial & Systems Engineering, KAIST

Research goal

  • Inventing new computational methodologies for understanding, designing, and managing complex socio-economic systems
  • Applying computational methdolgoeis to understanding, designing, and managing complex socio-economic systems in the real world

Research area

Machine Learning on Economic and Text Data 
2
We analyze various sources of data to fuse and jointly analyze the information from such diverse venues. Our analysis ultimately creates a new statistical model to solve a specific real world problems.
Examples of our analyses includes 1) extracting market sentiments from economic indexes and relevant news articles; and 2) predicting real estate markets with unstructured texts.

Modeling and Simulation in Social Phenomena, Defense, and Disasters 
1
We develop social simulations on real world problems, and we research the behind theories on developing such simulations.
Our simulations has been used in 1) disaster preparation and personnel training; 2) military scenario analyses with battle experiments; and 3) urban real estate market evolution.

Machine Learning on Intelligence Analysis 
3
We develop analytical systems to strengthen our national security. Our analysis systems includes the latest machine learning models to reveal what is going on our nation and neighbor nations.
Our system is a system of diverse machine learning techniques ranging from natural language processing, topic modeling, ontology, and social networks.

Smart Manufacturing with Smart Things 
4
We develop a service to support our traditional manufacturing industries, such as heavy industry (ship-building, heavy structure construction, and heavy equipment manufacturing).
Our service is a collection of various recent technologies, such as smart sensor networks (i.e. Zigbee), smart phone, web services, etc. Our service is real-world deployed and had been used for production process management and quality control.  [LINK]

Selected publications

  • S. J. Shin; I. C. MOON, "Guided HTM: Hierarchical Topic Model with Dirichlet Forest Priors," in IEEE Transactions on Knowledge and Data Engineering , vol.PP, no.99, pp.1-1 doi: 10.1109/TKDE.2016.2625790
  • Lee, W.S., Lee, Y.M., Kim, H.Y., and Moon, I.-C., 2016. Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping. IJCAI 2016. pp.2544-2552, New York, USA
  • Bae, J. W., Bae, S. W., Moon, I. C., & Kim, T. G. (2016). Efficient Flattening Algorithm for Hierarchical and Dynamic Structure Discrete Event Models. ACM Transactions on Modeling and Computer Simulation (TOMACS), 26(4), 25.
  • Bae, J. W., & Moon, I. C. (2016). LDEF Formalism for Agent-Based Model Development. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(6), 793–808. http://doi.org/10.1109/TSMC.2015.2461178
  • Lee, W.S., Park, S.R. and Moon, I.-C., 2014. Modeling Multiple Fields of Collective Emotions with Brownian Agent-Based Model. In AAMAS. Paris, France.

Professional activities

  • Program Committee: WinterSim 2013, WinterSim 2014, SpringSim 2013, SpringSim 2014, Editor in Chief: SCS M&S Magazine (2012~Present)
  • Member of IEEE, SCS
  • Proceeding Co-Editor of WinterSim 2015
  • Program Committee Member of International Joint Conference on Artificial Intelligence (IJCAI) 2015, 2017

Teaching

  • IE362: Applied Data Structure and Algorithms
  • IE472: Socio-Economic Systems Modeling
  • IE661 : Applications of Artificial Intelligence and Data Mining

Patent

  • “전자 문서에 의미 정보를 부착하는 시스템 및 방법”, 등록년도: 2011, 등록번호: 101069207
  • "시계열 텍스트 데이터 및 시계열 수치 데이터의 연관 방법 및 그 장치" 등록년도: 2011, 등록번호: 1010449580000
  • "기계 가독형 지식 구조 기반 전자-메모 시스템 및 방법" 등록년도: 2016, 등록번호: 1016133970000

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