个人经历
教育背景
个人简介
Hwanjo Yu received his PhD in Computer Science at the University of Illinois at Urbana-Champaign at June 2004 under the supervision of Prof. Jiawei Han. From July 2004 to January 2008, he had been an assistant professor at the University of Iowa. He is now an associate professor at POSTECH (Pohang University of Science and Technology). He developed influential algorithms and systems in the areas of big data and machine learning, including (1) algorithms for classifying without negative data (PEBL, SVMC), (2) privacy-preserving SVM algorithms (PP-SVM), (3) SVM-JAVA: an educational java open source for SVM, (4) RefMed: the relevance feedback search engine for PubMed, and (5) TurboGraph: a fast parallel graph engine handling billion-scale graphs in a single PC. His methods and algorithms were published in prestigious journals and conferences including ACM KDD, AAAI, IJCAI, ACM SIGMOD, IEEE ICDE, IEEE ICDM, ACM CIKM, etc. Awards 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 Big Data Mining (2013F) Data Structure and Algorithms (2013S, 2014S) Database Systems (2012F) Advanced Topics in Data Mining (2008S, 2011F) Intro. Data Mining: (2009S, 2010S) Intro. 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, IJCAI, ACM SIGMOD, VLDB, IEEE ICDM, IEEE ICDE, ACM CIKM. Associate Editor at Neurocomputing (2005~) 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.