News

[News] Congratulations to Professor Labrinidis for his current project being featured in the Pittsburgh Post-Gazette

Prof. Alexandros Labrinidis and Prof. Kostas Pelechrinis are working on TransitScreen project that can be used to increase traffic at businesses near transit stops.  

[News] Congratulations to Dr. Alexandros Labrinidis on his promotion to Full Professor

We are excited to announce that Dr. Alexandros "Alex" Labrinidis has been promoted to Full Professor!

[News] ICDCS 2017 Demo Accepted

Congratulations to Xiaoyu, Ameya, Manali and Darpun for their IEEE ICDCS demonstration: Data-driven Serendipity Navigation in Urban Places

   

[News] Congratulations to Xiaoyu, Ameya, Manalu and Darpun for winning the people's choice poster award on the CS Day

Congratulations to Xiaoyu, Ameya, Manali and Darpun for winning the people's choice poster award during the 50th Anniversary CS Day on March 24, 2017. Their winning poster was on Data-driven Serendipity Navigation in Urban Places

   

[News] ICDE 2017 Poster Accepted

Congratulations to Angen Zheng, for his poster: Skew-Resistant Graph Partitioning was recently accepted by ICDE2017

[News] Prof. Panos K. Chrysanthis spoke at the Software Seminar at the University of Michigan

Prof. Panos K. Chrysanthis was a guest speaker at the Software Seminar of the University of Michigan's Computer Science Department on December 19, 2016. He discussed the issue of Data-driven Serendipity Navigation in Urban Places.

[News] Our Mobile Personal Guide (MPG) will be demonstrated in EDBT 2017

Congratulations to Xiaoyu and Samanvoy for their EDBT 2017 Demonstration: In Search for Relevant, Diverse and Crowd­screen Points of Interests. If you missed EDBT, you can see the demo in video [Link].  

[News] New NSF Award focusing on Big Data

Prof. Chrysanthis and Prof. Labrinidis, together with colleagues from the School of Engineering (Prof. Peyman Givi, PI) and the Math Department (Prof. William Layton) received new research funding from the National Science Foundation for their project entitled "Appraisal of Subgrid Scale Closures in Reacting Turbulence via DNS Big Data." The project will employ a range of strategies and computational tools for utilizing DNS data to appraise the performance of large eddy simulation (LES) predictions in turbulent combustion. The study will pave the way for LES to become the primary means of predictions for future design and manufacturing of combustion systems, while building a data sharing infrastructure, and providing educational and outreach programs to students at all levels. [Abstract@NSF]