Il-Yeol Song is a professor in the College of Computing and Informatics at Drexel University, Philadelphia, PA. He is also an affiliated professor of Computer Science Division of KAIST, Korea . He has been on the faculty since 1988, achieving Full Professor rank in 2000. He received his M.S. and Ph.D. degrees in Computer Science from Louisiana State University in 1984 and 1988, respectively. His research focuses on the practical applications of modeling & design theory to real-world problems. He currently serves as the Director of Doctoral Program for the Information Studies. He is an ACM Distinguished Scientist and an ER Fellow. He has received 2015 Peter P. Chen Award in Conceptual Modeling.
His current research areas include conceptual modeling, data warehousing, big data management and analytics, CRM, object-oriented analysis & design with UML, and healthcare informatics and smart health. He has won four teaching awards from Drexel University: Exemplary Teaching Award in 1992, Senior Faculty Teaching Excellence Award in 2000, the 2001 Christian R. and Mary Lindback Distinguished Teaching Award in 2001, and Outstanding Instructor Award in 2011.
Dr. Song has authored or co-authored over 200 refereed technical articles in various journals, international conferences, and books. Dr. Song received the ASIS Pratt_Severn Excellence in Writing Award at National ASIS meeting (1997), the Best Paper Award of in the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2004), and a Best Paper Nominated at the 2004 IEEE/ACM Web Intelligence Conference. He received a Research Scholar Award from Drexel University in 1992. He has also won fourteen research awards from the annual Drexel Sigma Xi Scientific Research Competitions or annual Drexel Research Days.
According to the SCOPUS (extracted on Fri Jul 1 22:54:02 BST 2011), his paper entitled “A UML Profile for Multidimensional Modeling in Data Warehouses” published in Data and Knowledge Engineering Journal (vol. 59, No 3, pp. 725-769) in 2006 was found to be the most cited paper among all the papers published between 2006 to 2011 in the recent 5 years of the journal (2006-2011) ( http://www.elsevier.com/wps/find/journaldescription.cws_home/505608/description#description ). The paper was co-authored with S. Lujan-Mora and J. Trujillo of University of Alicante, Spain.
Dr. Song has served as a program committee member for over 140 international conferences and workshops. He co-founded and co-chaired the ACM First International Workshop on "Data Warehousing and OLAP (DOLAP ‘98), which was held with CIKM ‘98. He served as a program co-chair of CIKM ’99, DOLAP ’99, DOLAP '03, ER '03, DGOV '04, BP-UML '06, DaWaK '07, DaWaK '08, and DESRIST 2009 as well as General Chair for DOLAP '02, '04, '05, '06,'07, '08, '09, '10, '11, '12, and '13. He served as a General co-Chair of CIKM 2009 and DESRIST 2010. He received the CIKM Leadership Award in 1999. He served on the Steering Committee of the CIKM (ACM International Conference on Information and Knowledge Management) during 1995 and 2011. Currently, he serves on the Steering Committee of DOLAP (ACM International Workshop on Data Warehousing and OLAP), ER (International Conference on Conceptual Modeling), and ADFSL (The ADFSL Conference on Digital Forensics, Security, and Law). He served as vice chair (2008-2010) and chair (2010-2012) of the ER Steering Committee. He serves as a co-Editor-in-Chief of the Journal of Computing Science and Engineering (JCSE) and as an associate editor for the Journal of Database Management (JDM), the International Journal of Data Science (IJDS), and the Journal of Digital Forensics, Security, and Law (JDFSL) as well as on the Editorial Board of Data & Knowledge Engineering (DKE). He delivered a keynote speech at the First Asia-Pacific iSchool Conference in 2014 and ACM SAC 2015 conference. In addition, he was the guest editor for the Journal of Database Management, Data & Knowledge Engineering, International Journal of Data Warehousing and Mining, Information Systems, and Decision Support Systems.