photo Arlei Lopes da Silva
Ph.D Student in Computer Science

Databases, Data Mining and Bioinformatics Lab
Computer Science Department
University of California, Santa Barbara
Santa Barbara, CA, United States

email: arlei@cs.ucsb.edu






I'm a sixth year Ph.D student in Computer Science at University of California, Santa Barbara, and a Research Assistant in the Databases, Data Mining and Bioinformatics Lab, also at UCSB. My current research is focused on dynamic graphs and my advisor is Prof. Ambuj Singh. Before I came to UCSB, I got a B.Sc and an M.Sc degree in Computer Science from Universidade Federal de Minas Gerais, in Brazil. I've also been a visiting scholar at Rensselaer Polytechnic Institute and a research intern at the IBM Research, HP Labs, and NEC Labs. I was the president of the UCSB CS Department Graduate Student Council for 2015, organizing department events including the Graduate Student Workshop on Computing.

I will be graduating in the Summer 2018 and I'm looking for postdocs in Data Science/Machine Learning. Here is my CV .




Research Interests:

  • Data Mining and Knowledge Discovery
  • Algorithms
  • Graphs/Networks
  • Machine Learning
  • Privacy-preserving Data Mining


Selected Publications:

Spectral Algorithms for Temporal Graph Cuts
Arlei Silva, Ambuj Singh, Ananthram Swami
The Web Conference (WWW), 2018.

Group Centrality Maximization via Network Design
Sourav Medya, Arlei Silva, Ambuj Singh, Prithwish Basu, Ananthram Swami
SIAM International Conference on Data Mining (SDM), 2018.

Privacy-Preserving Multi-party Clustering: An Empirical Study
Arlei Silva, Gowtham Bellala
IEEE International Conference on Cloud Computing (CLOUD), 2017.
[Slides]

Outlier Detection from Network Data with Subnetwork Interpretation
Xuan-Hong Dang, Arlei Silva, Prithwish Basu, Ambuj K Singh, Ananthram Swami
IEEE International Conference on Data Mining (ICDM), 2016.

Graph Wavelets via Sparse Cuts
Arlei Silva, Xuan-Hong Dang, Prithwish Basu, Ambuj K Singh, Ananthram Swami
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.
[Slides] [Code][Video]

Hierarchical In-Network Attribute Compression via Importance Sampling
Arlei Silva, Petko Bogdanov, Ambuj K. Singh
IEEE International Conference on Data Engineering (ICDE), 2015.
[Slides] [Code]

Mining Attribute-structure Correlated Patterns in Large Attributed Graphs
Arlei Silva, Wagner Meira Jr., Mohammed J. Zaki
Proceedings of the VLDB Endowment (PVLDB), 2012.
[Slides] [Code]


My links: