Alexandros Labrinidis     (Αλέξανδρος Λαμπρινίδης)
Associate Professor, Department of Computer Science, University of Pittsburgh
Co-Director, Advanced Data Management Technologies Laboratory
Adjunct Associate Professor, Computer Science Department, Carnegie Mellon University

Paper spotlight

Big Data and Its Technical Challenges, in Communications of the ACM, July 2014 (over 5,000 downloads from ACM DL). Companion web site at db.cs.pitt.edu/bigdata/resources

Research Interests

Big data, user-centric data management, scientific data management, data stream management systems, data-intensive computing, collaborative systems, quality of data/quality of service, the deep Web.

Research Projects

Teaching

Spring 2015
CS 1699 - Fundamentals of Data Science New Full
 
Fall 2014
CS 1655 - Secure Data Management and Web Applications

Recent News

December 5, 2014:
Giving a talk at HP Labs on Handling Big Streaming Data with DILoS #talks

November 21, 2014:
New paper: The Big Data - Same Humans Problem (extended abstract), to be presented at the CIDR 2015 gong show. #papers

November 15, 2014:
Giving a talk at the University of Glasgow's School of Computing Science on Handling Big Streaming Data with DILoS #talks

November 14, 2014:
Giving a talk at the University of Edinburgh's Laboratory for Foundations of Computer Science on Handling Big Streaming Data with DILoS [info].#talks

October 29, 2014:
Gave a talk at Georgetown University's Department of Computer Science on Handling Big Streaming Data with DILoS [abstract].#talks

October 27, 2014:
New paper: Architecture-Aware Graph Repartitioning for Data-Intensive Scientific Computing, by Angen Zheng, Alexandros Labrinidis, and Panos K. Chrysanthis, published in the Proceedings of the 1st International Workshop on High Performance Big Graph Data Management, Analysis, and Mining (held in conjunction with IEEE BigData 2014).#papers

October 23, 2014:
New paper: A user-friendly framework for database preferences, by Roxana Gheorghiu, Alexandros Labrinidis, and Panos K. Chrysanthis, published in the Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2014).#papers

October 9, 2014:
Excited to be a part of the Center for Causal Modeling and Discovery of Biomedical Knowledge from Big Data (CCMD), which is one of the 12 new Centers of Excellence funded through NIH's Big Data to Knowledge (BD2K) program [NIH press release, CCMD award information at NIH, UPitt press release, Pittsburgh Business Times article, Pittsburgh Post-Gazette article, Tribune-Review article].#research

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Last modified on December 11, 2014 @ 11:41:02

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