Sourav S Bhowmick, Nanyang Technological University, Singapore
Since the inception of database (DB) and human computer interaction (HCI) research several decades ago, they have evolved into two disparate and vibrant scientific fields, rarely making any systematic effort to leverage techniques and principles from each other towards better user experience and information management. Specifically, data management researchers have striven to improve the capability of a database in terms of both performance and functionality, often devoting very little attention to the HCI aspects of the solutions. On the other hand, the HCI community has focused on building sophisticated models of various types of visual tasks and interfaces for wide variety of activities independent of the underlying DB systems. Now, modern applications, such as health-care, social networks, or Web search, empower “naive” (w.r.t data management) users to create, access, and retrieve massive volumes of publicly-available data. A key requirement for enhancing the “mass appeal” of these applications is to provide intuitive and user-friendly framework so that users can interact with the underlying data without learning complex data management techniques and functionalities such as query languages. In this talk, we leverage on this grand desire to provide user-friendly framework to lay down the vision of integrating DB and HCI techniques and tools towards superior consumption and management of data. We discuss various non-traditional research challenges that we need to address in order to combine these two exciting fields as well as highlight some of the seminal work to address these challenges. In particular, on one hand, we present the need to rethink traditional data management issues (e.g., query processing) in order to seamlessly integrate them with visual tasks of users. On the other hand, we lay down the vision of how traditional visual interaction schemes and tools can be enhanced by making them “data-driven”.
Sourav S Bhowmick is an Associate Professor in the School of Computer Engineering, Nanyang Technological University and the Director of Data-Intensive Scalable Computing (DISCO) Lab. He is affiliated with the Data Management Research Group at NTU (DANTE), Social Analytics Research Group (SONAR), and the Computational Systems Biology (COSBY) Research Group. He was a Visiting Associate Professor at the Biological Engineering Division, Massachusetts Institute of Technology (MA, USA) from 2007 to 2013. He was also a Senior Visiting Professor at Fudan University in 2013. Sourav’s current research interest is multi-disciplinary in flavor, focusing primarily on bridging data management and HCI, computational social science, and in silico network biology. He has published more than 150 papers in major international data management, data mining, multimedia, bioinformatics, and systems biology conferences and journals including top-tier venues such as VLDB, IEEE ICDE, ACM WWW, ACM SIGMOD, CIDR, ACM SIGKDD, ACM MM, ACM CIKM, IEEE TKDE, IEEE TSC, VLDB Journal, Bioinformatics, and Biophysical Journal. He has served as a program chair/co-chair of several international workshops and conferences such as DEXA 2008 and 2009, DASFAA 2013. Sourav has been tutorial speaker for several international conferences such as ER 2006, APWeb 2008, WAIM 2008, PAKDD 2009 and 2011, DASFAA 2011 and 2012, and ADMA 2012. He has received Best Paper Awards at ACM CIKM 2004 and ACM BCB 2011 for papers related to evolution mining and biological network summarization, respectively. In his free time, Sourav likes to paint.