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Hwanjo Yu (유환조)

Hwanjo Yu
Professor, Vice Director of PIRL
 
hwanjoyu at postech dot ac dot kr (second email: hwanjoyupostech at gmail dot com)
Tel:  +82-54-279-2388
Fax: +82-54-279-5699
Office: PIRL 335

Biography
Awards
  • 2016: Naver Young Faculty Award
  • 2016: Best research adviser award for POSTECH URP (Undergraduate Research Program)
  • 2016: Ranked 1st at NTCIR-12, QA Lab competition (Graduate advisees)
  • 2015: Ranked Top 1.7% (10 out of 560 teams) at ACM RecSys Challenge (Graduate advisees)
  • 2014: Selected as excellent national project ("Search and mining for mobile devices")
  • 2013: Best poster award at IEEE Int. Conf. Data Engineering (ICDE) (out of 150 full and short papers)
  • 2010: 2nd and 3rd places at the UCSD Data Mining Contest (Graduate advisees)
  • 2004: Nominated from UIOWA for the Microsoft Junior Faculty Award
  • 2003: The 2003 UIUC Data Mining Research Gold Award
  • 2003: IBM Research Student Scholarship Award at ACM SIGKDD'03 (International Conference on Knowledge Discovery and Data Mining)
  • 2003: AAAI Student Scholarship Award at IJCAI'03 (International Joint Conference on Artificial Intelligence)
  • 2003: Student Scholarship Award at CIKM'03 (International Conference on Information and Knowledge Management)
  • 2002: IBM Research Student Scholarship Award at ACM SIGKDD'02
Teaching
  • POSTECH
    • Artificial Intelligence (2017S)
    • Big Data (2013F, 2015F, 2016F)
    • Data Analytics using Tools (2016S)
    • Data Mining: (2008S, 2009S, 2010S, 2011F, 2015F, 2017F)
    • Database Systems (2012F)
    • Data Structure and Algorithms (2013S, 2014S)
    • Introduction to Computing (2008F, 2009S, 2010S, 2011S, 2012S)
  • U. of Iowa
    • Database System (2006F, 2007F)
    • Knowledge Discovery and Data Mining (2005F, 2007S)
    • Data Mining and Machine Learning (2005S, 2006S)
Activity
  • Services
    • Program Committee at ACM KDD, AAAI, VLDB, IEEE ICDM, IEEE ICDE, ACM CIKM.
    • Associate Editor at Information Sciences, Neurocomputing
    • PC-chair at EDB (2013), Publicity chair at IEEE ICDE (2015), Proceeding chair at APWeb (2010)
  • Consulting
    • I have been involved in numerous data mining research and industrial projects. I am especially interested in working with companies or organizations with large data that are searching for data mining or machine learning solutions. Please, contact me to determine if data mining technology would be beneficial to your organization.