Publications       Teaching       Coursework       Education       Internships

Publications

E. Zheleva. Prediction, Evolution and Privacy in Social and Affiliation Networks.
          PhD Dissertation. July, 2011. Abstract.

E. Zheleva, L. Getoor. Privacy in Social Networks: a Survey. Book chapter in Social
          Network Data Analytics. Ed. by Charu Aggarwal. Springer. March 2011. Abstract, PDF.

E. Zheleva, L. Getoor, S. Sarawagi. Higher-order Graphical Models for Classification
         in Social and Affiliation Networks. NIPS Workshop on Networks Across Disciplines:
         Theory and Applications 2010. Abstract, PDF.

E. Zheleva, J. Guiver, E. Mendes Rodrigues, N. Milic-Frayling. Statistical Models of
         Music-listening Sessions in Social Media. 19th International World Wide Web
         Conference (WWW) 2010. Abstract, PDF. Conference talk on VideoLectures.

E. Zheleva, H. Sharara, L. Getoor. Co-evolution of Social and Affiliation Networks.
         15th ACM SIGKDD International Conference on Knowledge Discovery and
         Data Mining (KDD) 2009. Abstract, PDF. Also presented at INFORMS 2009.

E. Zheleva, L. Getoor. To Join or not to Join: The Illusion of Privacy in Social Networks with
         Mixed Public and Private User Profiles. 18th International World Wide Web
         Conference (WWW) 2009. Abstract, PDF. Slides.

E. Zheleva, A. Kolcz, L. Getoor. Trusting Spam Reporters: A Reporter-based Reputation
         System for Email Filtering. ACM Transactions on Information Systems (TOIS), vol. 27,
         no. 1, December 2008. Abstract, PDF. Patent application.

E. Zheleva, L. Getoor, J. Golbeck, U. Kuter. Using Friendship Ties and Family Circles for
         Link Prediction. KDD Workshop on Social Network Mining and Analysis (SNA-KDD) 2008.
         Abstract, PDF.

E. Zheleva, L. Getoor. Preserving the Privacy of Sensitive Relationships in Graph Data.
         KDD Workshop on Privacy, Security, and Trust in KDD (PinKDD) 2007. LNCS vol. 4890,
         p. 153-171, 2008. Abstract, PDF.

A. Don, E. Zheleva, M. Gregory, S. Tarkan, L. Auvil, T. Clement, B. Shneiderman, C. Plaisant.
         Discovering Interesting Usage Patterns in Text Collections: Integrating Text Mining
         with Visualization. 16th ACM International Conference on Information and Knowledge
         Management (CIKM) 2007. Abstract, PDF. Application.

E. Zheleva, A. Arslan. Fast Motif Search in Protein Sequence Databases. CSR 2006.

V. Kantabutra, B. Tsendjav, E. Zheleva. Glide Algorithm with Tunneling: A Fast, Reliably
         Convergent Algorithm for Neural Network Training. Conference on Artificial
         Neural Networks in Engineering (ANNIE) 2003.

V. Kantabutra, E. Zheleva. Gradient Descent with Fast Gliding over Flat Regions: A First
         Report. IEEE Industrial Electronics Conference (IECON) 2002.

Teaching Assistant (Lead Discussion Sections)

Object-Oriented Programming II (CMSC 132), Fall 2006

Introduction to Low-Level Programming (CMSC 212), Spring 2006, Fall 2005

Courses I TA-ed at the University of Vermont: 2003-2005

Coursework and Projects

Machine Learning Summer School, Canberra, Australia, Sep. 2010

Advanced Machine Learning: Combining Statistical and Logical Approaches (CMSC 828L), Spring 2010

Link Mining (CMSC 828g and wiki), Spring 2008

• Final Project: How friendship links and group memberships affect the privacy of individuals in social networks. Related publication.

Information Visualization (CMSC 734), Spring 2007

• Small Project: Netflix: Visual Analysis for User Movie Preferences


• Final Project: Discovering interesting usage patterns in text collections: integrating text mining with visualization. Check out the application: FeatureLens and the prototype. Related publication.

Research in Software Engineering (CMSC 838P), Fall 2006

• Final Project: Component-based Software Testing Framework Using Bayesian Networks

Exploiting Biological Resources (CMSC 828U), Fall 2006

• Final Project: Using Structure in Biomedical Ontology Mapping

Machine Learning (CMSC 726), Spring 2006

• Final Project: Semi-supervised Classifiers for Personalized Spam Filtering

Computational Gene Finding and Genome Assembly (CMSC 828N), Spring 2006

• Final Project: Gene Prediction Using Protein Domains

Natural Language Processing (CMSC 645), Fall 2005

Computational Geometry (CMSC 754), Fall 2005

Education

August 2011, Ph.D. in Computer Science
University of Maryland, College Park
Dissertation: Prediction, Evolution and Privacy in Social and Affiliation Networks

May 2005, Master's Degree in Computer Science
University of Vermont, Burlington, VT
Thesis: Restricted Regular Expression Pattern Matching Using Suffix Trees

August 2003, High Honors Bachelor's Degree in Computer Science, Minor: German
Idaho State University, Pocatello, ID

September 1997-December 1999, Business Administration major
Sofia University, Bulgaria
Coursework equivalent to a minor in Business

Internships

Microsoft Research, Cambridge, UK, Summer 2009

AOL, Dulles, VA, Summer 2006

The Institute for Genomic Research (TIGR), Rockville, MD, Summer 2004