Yasin Silva — Arizona State University

Personal profile

Research interests

Dr. Silva’s research focuses on innovate ways to analyze and process data. His specific areas of interest include: social media analysis, online misbehavior detection, social computing, cyberbullying detection in social networks, big data, similarity-aware data analysis, scalable database systems, and fairness and transparency in AI.

Education/Academic qualification

PHD, Purdue University

… → 2010

MS, Purdue University

… → 2006

BS, Pontific Catholic University

… → 2001

Keywords

Social Media Analysis
Online Misbehavior Detection
Social Computing
Big Data
Scalable Database Systems
Similarity-aware Data Analysis
Cyberbullying Detection
Computer Science Education

Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2007 2019

336 Citations
11 h-Index
27 Conference contribution
6 Article
2 Chapter
1 Editorial

Hierarchical attention networks for cyberbullying detection on the instagram social network

Cheng, L., Guo, R., Silva, Y., Hall, D. & Liu, H., Jan 1 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 235-243 9 p. (SIAM International Conference on Data Mining, SDM 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Experiments

3 Citations (Scopus)

XBully: Cyberbullying detection within a multi-modal context

Cheng, L., Li, J., Silva, Y., Hall, D. & Liu, H., Jan 30 2019, WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 339-347 9 p. (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Heterogeneous networks

Identification (control systems)

2 Citations (Scopus)

BullyBlocker: toward an interdisciplinary approach to identify cyberbullying

Silva, Y., Hall, D. & Rich, C., Dec 1 2018, In : Social Network Analysis and Mining. 8, 1, 18.

Research output: Contribution to journal › Article

Identification (control systems)

psychology

Application programs

computer science

Computer science

DBSnap++: Creating data-driven programs by snapping blocks

Silva, Y., Schenk, T. G., Nieuwenhuyse, A. & Symons, A., Jul 2 2018, ITiCSE 2018 - Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education. Andreou, P., Armoni, M., Read, J. C. & Polycarpou, I. (eds.). Association for Computing Machinery, p. 170-175 6 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Specifications

Computer science

programming

Education

instruction