Daisy Seminar

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Dear all,

Our regular research seminar will be resumed on May 2 (Friday, 12-13pm, SVL300 0.2.11).  The agenda for the upcoming seminar:

•	Torben will introduce the seminar guideline.
•	Kasun S Perera from Technische Universität Dresden will talk about his doctoral project plan. 

Below is the information of Kasun’s talk.

Title: Model-based database systems

Speaker:  Mr. Kasun S Perera

Date & Time: May 2, 2014, Friday, 12-13pm

Venue: SLV300 0.2.11

Abstract:

Today, information for decision making processes is derived from stored data in information systems in business organizations. Accessing and mining business intelligence from stored data is crucial as this process should be fast and accurate to support on-time decision making processes. Provided that current information systems store more and more data (ranging from few GBs to several PBs), it is necessary to have efficient and effective access mechanisms. Thus, it is vital to develop new methods for faster information access, as current methods do not support efficient access to derive information. It is due to these methods access raw data to produce results. In this research, we focus on developing a new layer of access mechanism over data to support information retrieval without accessing raw data. The system stores ’models’ to represent the underlying data and user queries are answered by accessing the models rather than raw data directly. This mechanism provides faster access to information and also provides complete view of data at any point in time while hiding the incomplete and erroneous data. The model-based information access is expected to be scalable when data grows since models need low memory footprint and provide efficient querying on large data. In this project, we will examine different types of models for different types of data and propose a model designer that determines a good set of candidate models for a given data set and query workload. Users can access information through models by SQL like declarative queries that are transparently processed by the DBMS.

Brief Introduction:

Kasun S Perera is a PhD student in the Faculty of Computer Science in Technische Universität Dresden, Germany. He also enrolled at Aalborg University, Aalborg, Denmark leading to a joint doctorate degree under European Erasmus Mundus Program. He completed his Master of Science in Computing and Information Science at Masdar Institute of Science and Technology in Abu Dhabi, UAE, in collaboration with Massachusetts Institute of Technology. After finishing his undergraduate degree in Computer Science from University of Colombo School of Computing he worked as a Research Assistant at National University of Singapore. Kasun’s current research focus is on Model-based database systems where statistical and other representative models stored in the database are used to answer user queries. He also work in data mining and machine learning areas particularly interested in Smart Grids and Renewable Energy Integration.

Best Regards,
Xike Xie