Currently a Ph.D. student at Georgia Tech, studying machine learning in the department of Computational Science and Engineering. I work in the Polo Club of Data Science, advised by Dr. Polo Chau. Previously worked in the Data Lab, advised by Dr. Hanghang Tong

Research interests include machine learning and large scale graph mining, with application to cybersecurity, healthcare and finance.

Recent awards include NSF Graduate Research Fellowship (2018) and Outstanding Computer Science Masters student at ASU (2018).


Ph.D. Student in Machine Learning
Georgia Institute of Technology, Atlanta, GA
Adviser: Polo Chau

M.S. in Computer Science
Arizona State University, Tempe, AZ
Thesis: Mining Marked Nodes in Large Scale Graphs (Adviser: Hanghang Tong)

B.S. in Computer Science
Arizona State University, Tempe, AZ

B.S.E. in Electrical Engineering
Arizona State University, Tempe, AZ


  • S. Freitas, H. Tong, N. Cao, Y. Xia. Local Partition in Rich Graphs. IEEE Big Data 2018. Website, PDF.

  • J. Kang*, S. Freitas*, Y. Xia, H. Tong. X-Rank: Explainable Ranking in Complex Multi-Layered Networks. CIKM 2018. Website, PDF, Video.

  • S. Freitas, H. Tong, N. Cao, Y. Xia. Rapid Analysis of Network Connectivity. CIKM 2017. Best demo candidate (2nd place) Website, PDF, Code, Video, Documentation.

* First two authors contributed equally to this work.

Honors and Awards

  • Raytheon Research Fellowship (2019)

  • NSF Graduate Research Fellowship (2018-‘21)

  • Oustanding Computer Science Masters Student (2018)

  • CIKM ’17 Best Demo Paper Candidate (2nd place)

  • CIKM ’17 Student Travel Grant (NSF and SIGWEB)

  • ASU FURI Grant (2016-’17)

  • Arizona Graduate Scholar Award (2016-’17)

  • Provost’s Scholarship (2010-’14)