Nesreen K. Ahmed
Mailing Address:
Purdue University
Dept of Computer Sciences
305 North University Street
West Lafayette, IN 47907-2066
Office: HAAS G75
Email: nkahmed [at] cs.purdue.edu

About Me

I'm currently a fourth-year Ph.D. student in the Computer Science Department at Purdue University working with Jennifer Neville. My broad research interests lie in machine learning, data mining, security, and social network analysis. Recently, my research is focused on sampling large graphs.

Publications

N.K. Ahmed, J. Neville, R. Kompella: Network Sampling Designs for Relational Classification, Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM'2012), Dublin, Ireland, 2012, To appear. [ PDF ] NEW!

N.K. Ahmed ,J. Neville, R. Kompella: Space-Efficient Sampling from Social Activity Streams, 2012. Submitted

N.K. Ahmed ,J. Neville, R. Kompella: Network Sampling via Edge-based Node Selection with Graph Induction. Technical Report TR-11-016, Dept of Computer Science, Purdue University, 2011. [ PDF ]

N.K. Ahmed ,J. Neville, R. Kompella: Reconsidering the foundations of Network Sampling, In Proceedings of the 2nd Workshop on Information in Networks, 2010 (WIN’2010), Sept. 24-25. NewYork. [ PDF ]

N.K. Ahmed, F. Berchmans, J. Neville, R. Kompella: Time-Based Sampling of Social Network Activity Graphs, Proceedings of the 8th Workshop on Mining and Learning with Graphs (MLG'2010), 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington D.C. , 9 pages, 2010. [ PDF ]

N.K. Ahmed, A.F. Atiya, N. ElGayar, H. El-Shishiny: An Empirical Comparison of Machine Learning Models for Time Series Forecasting, Journal of Econometric Reviews, Vol 29, No 5-6, 2010, Special Issue on “The Link between Statistical Learning Theory and Econometrics: Applications in Economics, Finance, and Marketing”. [ PDF ]

N.K. Ahmed, A.F. Atiya, N. ElGayar, H. El-Shishiny: A Combined Neural Network/Gaussian Process Regression Time Series Forecasting System for the NN3 Competition, The Artificial Neural Network and Computaional Intellignece Competition (NN3), 2007. [ PDF ]. Ranked 6th on the full dataset and 5th on the reduced dataset

N.K. Ahmed, A.F. Atiya, N. ElGayar, H. El-Shishiny: Tourism Demand Forecasting Using Machine Learning Methods, International Journal on Artificial Intelligence and Machine Learning (AIML), Special Issue on “Computational Methods for the Tourism Industry”, 2007. [ PDF ]