On Sampling from Massive Graph Streams, Nesreen K. Ahmed, Nick Duffield, Theodore Willke, Ryan A. Rossi, submitted, 2017
Stream Aggregation Through Order Sampling, Nick Duffield, Yunhong Xu, Liangzhen Xia, Nesreen Ahmed, Minlan Yu, submitted, 2017
Congratulations to our group PhD student Yunhong Xu, who has accepted an internship at Fujitsu Network Communications this summer
Congratulations to our group MS student Liangzhen Xia who has accepted an internship at Facebook this summer
Congratulations to our group PHD student Hanzi Mao, who has been accepted to a position as Data Scientist intern at Landmark Halliburton this summer.
I will be giving the keynote talk on “Adaptive Sampling: From Data Streams to Graph Streams” at the 2016 BigGraphs Workshop at IEEE BigData’16, 12/5/2016 in Washington, DC
There are two current searches that include or focus on this area:
- Electrical & Computer Engineering, Open Rank: https://www.tamengineeringjobs.com/postings/3183
- College of Engineering, Full Professor, Big Data: https://www.tamengineeringjobs.com/postings/3673
Please contact me if you have any questions concerning these job openings.
We have just concluded the Texas A&M Conference on Advances in Big Data Modeling, Computation and Analytics that I co-organized with Bani Mallick from the Texas A&M Department of Statistics. Our keynote speakers were Susan Athey (Stanford), Nilanjan Chatterjee (Johns Hopkins University), Michael Jordan (UC Berkeley) and Robert Schapire (Microsoft).
Minlan Yu (Yale) and I have received an NSF NeTS award for our proposal Distributed Approximate Packet Classification.
Our paper Graphlet Decomposition: Framework, Algorithms, and Applications by Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick Duffield & Theodore L. Willke has been accepted to appear in Knowledge and Information Systems