Seoul, Korea April 13th 2015
Keynote 1 (9:30-10:30)
"How to do Research for Fun and Profit" slides
by Dr. Divesh Srivastava, Head of the Database Research Department, AT&T.
Abstract: Research is characterized as the process of posing new questions, undertaking a creative and systematic inquiry to find answers, and communicating this knowledge to the community. In this talk, I present a personal perspective to Ph.D. students at various stages in their career on what they can do to help ensure that their research efforts are successful, and the process is enjoyable.
Coffee break (10:30-11:00)
Session 1 (11:00-12:30): Big data processing
Pregel meets UnCAL: a Systematic Framework for Transforming Big Graphs - Le-Duc Tung, The Graduate University for Advanced Studies pdf here
Traversal Optimizations and Analysis for Large Graph Clustering - Waqas Nawaz, Kyung Hee University pdf here
Improving the Quality of Large-Scale Database-Centric Software Systems by Analyzing Database Access Code - Tse-Hsun Chen, Queens University pdf here
Keynote 2 (14:30-15:30)
"To do/Not to do in your early academic career"
By Dr. Feida Zhu, Assistant Professor, NTU, Singapore
Abstract: When stepping out of school and starting a new career, one would need to ask and answer a variety of important questions. How to choose new research directions? How to balance research and teaching? How to engage industry partners? How to interact with students? In this talk, I will share some of my own stories that have inspired me and my thoughts on some Do┐s and Don┐ts which I wish I had known earlier.
Coffee break (15:30-16:00)
Session 2 (16:00-17:30): Database systems
Integrating query processing with parallel languages - Brandon Myers, University of Washington pdf here
Set-based Approach for Lossless Graph Summarization using Locality Sensitive Hashing - Kifayat Ullah Khan, Kyung Hee University pdf here
Friend Recommendation with a Target User in Social Networking Services - Sundong Kim, Korea Advanced Institute of Science and Technology pdf here
Keynote speekers:Divesh Srivastava is the head of Database Research at AT&T Labs-Research. He received his Ph.D. from the University of Wisconsin, Madison, and his Bachelor of Technology from the Indian Institute of Technology, Bombay, India. He is a Fellow of the Association for Computing Machinery (ACM), on the board of trustees of the VLDB Endowment, the managing editor of the Proceedings of the VLDB Endowment (PVLDB), and an associate editor of the ACM Transactions on Database Systems (TODS). He has served as associate Editor-in-Chief of the IEEE Transactions on Knowledge and Data Engineering (TKDE), as the Co-chair of the Program Committees of many international conferences including VLDB 2007 and ICDE 2015 (Industrial), and as General Co-chair of SIGMOD 2013. He has presented keynote talks at several international conferences, including VLDB 2010. His research interests and publications span a variety of topics in data management.
Prof. Zhu is an assistant professor in School of Information System, Singapore Management University (SMU). His research interests include large-scale data mining, text mining, graph/network mining and social network analysis. He has published more than 70 quality papers in referred international conferences and journals, including ICDE, VLDB, SIGMOD, WWW, JMLR, TODS, ICDM, etc. His work on large-scale frequent pattern mining has won the Best Student Paper Awards at 2007 IEEE International Conference on Data Engineering (ICDE┐07) and 2007 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD┐07). He is awarded the DS Lee Foundation Fellowship for his achievements in conducting academic and industry-relevant research. He has founded the Pinnacle Lab a joint lab with China Ping An Insurance Group to focus on social media mining and analysis for finance industry. He obtained his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (UIUC) in 2009, supervised by Prof. Jiawei Han, and his B.Sc. in Computer Science from Fudan University, China, in 2001.