Ph.D. Symposium
New York, New York, USA June 23rd,
2013
9:10am-10:30am Keynote Speech
Title: Reflections on Academic Research and Publishing
Prof. M. Tamer Özsu (University of Waterloo,
Canada)
Abstract: I have been in the business academic research and publishing for over 30 years. I will talk about my experiences, and personal lessons.
Bio: M. Tamer Özsu is Professor of Computer Science at
the University of Waterloo. Dr. Özsu's current
research focuses on large scale data distribution and
management of unconventional data (e.g., XML, graphs, RDF,
streams).
He is a Fellow of ACM and IEEE, a member of Sigma Xi and
AAAS.
10:30am-10:45am Coffee Break
10:45am-12:15pm Session 1. Towards Big Data
Exploiting In-network Processing for Big Data Management
Rupprecht, Lukas, Imperial College London
DeepSea: Self-adaptive Data Partitioning and Replication in Scalable Distributed Data Systems
Du, Jiang, University of Toronto
Designing a Database System for Modern Processing Architectures
Heimel, Max, Technische Universität Berlin
12:15pm-1:45pm Lunch (participants on their own)
1:45pm-3:15pm Session 2. Towards Connected Data
Learning Queries for Relational, Semi-structured, and Graph Databases
Ciucanu, Radu, Université Lille 1
Turning Scientists into Data Explorers
Kargın, Yağız, CWI, Amsterdam
Information Diffusion in Online Social Networks
Guille, Adrien, ERIC Lab, Lyon 2 University
3:15pm-3:30pm Coffee Break
3:30pm-5:30pm Session 3. Towards Graduation
Exploratory Mining of Collaborative Social Content
Das, Mahashweta,Univ of Texas at Arlington
Discovering and Disambiguating Named Entities in Text
Hoffart, Johannes. Max Planck Institute for Informatics
The Tantalizing New Prospect of Index-Based Diversified
Retrieval
Tsatsanifos, George, National Technical University of
Athens
Effective Hashing for Large-scale Multimedia Search
Song, Jingkuan, The university of Queensland
Efficient and Scalable Monitoring and Summarization of
Large Probabilistic Data
Tang, Mingwang, University of Utah
RDF-4G: Algorithmic Building Blocks For Large-Scale
Graph Analytics
Seufert, Stephan, Max Planck Institute for Informatics