Enabling Real-Time Business Intelligence

September 5, 2016 - New Delhi, India

Celebrating 10 years of bridging Academic and Industrial Innovation!

Anniversary / Retrospective Panel

The Singularity of real-time analytics


In the last ten BIRTE workshops, keynote speakers, panelists and research contributors debated how real Real-Time Business Intelligence can be and argued how new platforms promise true real-time analytics. Are we there yet? is the key question on this 10th anniversary. This panel of experts from academia and industry will debate this question and provide answers to the following questions: Is there a need to build new systems for real-time analytics -- what are the best-use cases (IoT)? If you could set the path for R&D on streaming technology, in particular databases, where would you invest the effort and what would that path be?

Panel Moderator

Panos K. Chrysanthis (University of Pittsburgh)

Panos K. Chrysanthis

Panos Kypros Chrysanthis is a Professor of Computer Science and a founder and director of the Advanced Data Management Technologies Laboratory at the University of Pittsburgh. He is also an adjunct Professor at Carnegie-Mellon University. He received his BS degree (Physics with concentration in Computer Science, 1982) from the University of Athens, Greece. He earned his MS and PhD degrees (Computer and Information Sciences, 1986 and 1991) from the University of Massachusetts at Amherst. His research interests lie within the areas of data management (Big Data, Databases, Data Streams & Sensor networks), distributed & mobile computing, workflow management, operating systems and real-time systems. In 1995, he was a recipient of the U.S. National Science Foundation CAREER Award for his investigation on the management of data for mobile and wireless computing. His editorial service includes VLDB J (2001-2007), IEEE TKDE (2012-present) and DAPD (2011-present). Chrysanthis is an ACM Distinguished Scientist and a Senior Member of IEEE. He was honored with seven teaching awards and in 2015, he received the University of Pittsburgh's Provost Award for Excellence in Mentoring (doctoral students). More information can be found at http://panos.cs.pitt.edu

Panel Speakers

Ashraf Aboulnaga (Qatar Computing Research Institute)

Ashraf Aboulnaga

Ashraf Aboulnaga is a Research Director at the Qatar Computing Research Institute and an Adjunct Associate Professor at the University of Waterloo. His current research interests include platforms for Big Data, distributed storage systems, and data integration. Ashraf obtained M.S. and Ph.D. degrees in computer science from the University of Wisconsin - Madison. He received a Google Research Award, the Ontario Early Researcher Award, and Best Paper Awards at the VLDB 2011 and SoCC 2015 conferences. He currently serves on the editorial boards of the IEEE Transactions on Knowledge and Data Engineering, the VLDB Journal, and Distributed and Parallel Databases. He is a Senior Member of the IEEE and an ACM Distinguished Scientist. More information can be found at http://qcri.com/our-people/bio?pid=110&name=Ashraf_Aboulnaga

C. Mohan (IBM Research)

Dr. C. Mohan

Dr. C. Mohan has been an IBM researcher for 34 years in the database area, impacting numerous IBM and non-IBM products, the research and academic communities, and standards, especially with his invention of the ARIES family of database locking and recovery algorithms, and the Presumed Abort commit protocol. This IBM (1997), and ACM/IEEE (2002) Fellow has also served as the IBM India Chief Scientist for 3 years. In addition to receiving the ACM SIGMOD Innovation Award (1996), the VLDB 10 Year Best Paper Award (1999) and numerous IBM awards, Mohan was elected to the US and Indian National Academies of Engineering (2009), and was named an IBM Master Inventor (1997). This Distinguished Alumnus of IIT Madras (1977) received his PhD at the University of Texas at Austin (1981). He is an inventor of 50 patents. He has served on the advisory board of IEEE Spectrum, and on numerous conference and journal boards. Mohan is a frequent speaker in North America, Europe and India, and has given talks in 40 countries. He is very active on social media and has a huge following. More information can be found at http://bit.ly/CMnMDS

Mohamed Mokbel (University of Minnesota)

Mohamed Mokbel

Mohamed F. Mokbel (Ph.D., Purdue University, MS, B.Sc., Alexandria University) is an Associate Professor in the Department of Computer Science and Engineering, University of Minnesota. His research interests include the interaction of GIS and location-based services with database systems and cloud computing. His research work has been recognized by five Best Paper Awards and by the NSF CAREER award. Mohamed is/was the program co-chair of SIGMOD 2018, ACM SIGSPATIAL from 2008 to 2010, and IEEE MDM 2011 and 2014. He is an Associate Editor for ACM TODS, ACM TSAS, VLDB journal, and GeoInformatica. Mohamed is currently serving as the elected Chair of ACM SIGSPATIAL 2014-2017. For more information, please visit http://www.cs.umn.edu/~mokbel

Stratos Idreos (Harvard University)

Stratos Idreos

Stratos Idreos is an assistant professor of Computer Science at Harvard University where he leads DASlab, the Data Systems Laboratory@Harvard SEAS. Stratos works on data system architectures with emphasis on how we can make it easy to design efficient data systems as applications and hardware keep evolving and on how we can make it easy to use these systems even for non-experts. For his doctoral work on Database Cracking, Stratos won the 2011 ACM SIGMOD Jim Gray Doctoral Dissertation award and the 2011 ERCIM Cor Baayen award. He is also a recipient of an IBM zEnterpise System Recognition Award, a VLDB Challenges and Visions best paper award and an NSF Career award. In 2015 he was awarded the IEEE TCDE Early Career Award from the IEEE Technical Committee on Data Engineering for his work on adaptive data systems. More information can be found at http://stratos.seas.harvard.edu

Tirthankar Lahiri (Oracle)

Tirthankar Lahiri

Tirthankar Lahiri is Vice President of In-memory and Data Technologies for Oracle Database and is responsible for the development of Oracle Database In-Memory as well as the Oracle TimesTen In-Memory Database. He has twenty years of experience with enterprise databases and worked on numerous areas including performance and scalability, distributed concurrency control, manageability, scalability and SMP/NUMA performance. Tirthankar has 19 issued patents and several pending applications. He has a Bachelor of Technology in Computer Science from IIT Kharagpur and a Masters in Electrical Engineering from Stanford University. He was also in the PhD program at Stanford University and his research included multiprocessor operating systems and semi-structured data. For more information, please visit https://www.linkedin.com/in/tirthankarlahiri