|Di Bao successfully defended his MS thesis at November 25, 2013 . The topic of her MS thesis is "SNET - Computer-Assisted Supernovae Tracking". Congratulations to Di! More details can be found in the event's post here.|
Wednesday November 6, 2013
3:00 pm - Sennott Square - Room 6516
(Hosted by Dr. Panos Chrysanthis)
|Professor Alexandros Labrinidis participated in the panel on "Education and career paths for data scientists" of the 25th International Conference on Scientific and Statistical Database Management, held on July 31, 2013.|
|Qinglan Li successfully defended her Ph.D. dissertation at June 19, 2013 . The topic of her PhD dissertation is "A user-driven annotation framework for scientific data". Congratulations to Qinglan! More details can be found in the event's post here.|
|Lory AI Moakar successfully defended her Ph.D. dissertation at May 28, 2013. The topic of her PhD dissertation is "Class-based Continuous Query Scheduling in Data Stream Management Systems". Congratulations to Lory! More details can be found in the event's post here.|
|Professor Chrysanthis in his talk in the Computer Science Department of the University of Maryland briefly discussed the current ADMT projects related to Big Data and presented DILoS, A Dynamic Integrated Load Manager and Scheduler for Continuous Queries, which focuses on three of the Eight Big Data's Vs, that is, volume, velocity and variability.|
In this year's CS Day Event, Thao Pham won first price at the Poster Competition with her poster "Avoiding class warefare: Managing continuous queries in a multi-tenant environment with differentiated classes of service". Congratulations!
Also, congratulations to Roxana Gheorghiu and to Nicholas Farnan for being finalists in this year's Research Competition.
Professors Chrysanthis and Labrinidis are members of the advisory committee that has founded the Pittsburgh DataWorks initiative, whose aim is to bring together organizations and people working on "big data" throughout southwestern PA, with the ultimate goal of supporting ongoing initiatives and attracting big data talent and investments to the US’s “most livable city”.