Mustafa Bilgic PhD candidate in Computer Science, University of Maryland at College Park. M.S. in Computer Science, University of Maryland at College Park, 2006 B.S. in Computer Sciences, University of Texas at Austin, 2004

News (mostly academic)

• Current: In the job market! Application materials will be up soon.
  
  
• May 2009 - Aug 2009: Research internship at Microsoft Research in Redmond, WA. Worked with Paul Bennett and Max Chickering.
  
  
• Nov 2008: Became a father to a beautiful daughter! :)
  
  
• Aug 2008: Presented a paper at KDD'08 in Las Vegas.
  
  
• Aug 2008: Received the Best Student Paper Award at KDD'08.
  
  
• May 2008: Proposed and became an ABD :)
  
  
• May 2008: Presented a poster at NESCAI'08 in Ithaca, NY.
  
  
• July 2007: Presented a paper at AAAI'07 in Vancouver, BC, Canada.
  
  
• Nov 2006: Presented a paper at VAST'06 (Visual Analytics Science and Technology) in Baltimore, MD.
  
  
• Aug 2006: Got married! :)
  
  
• May 2006: Received my MS degree.
  
  
• Sept 2005: Presented a poster at GD'05 (International symposium on Graph Drawing) in Limerick, Ireland.
  
  
• Jan 2005: Presented a paper at the Recommender Systems workshop at IUI'05 in San Diego, CA.
  
  
• Aug 2004: My PhD journey began.

Research Interests

My main research interests are in the broad areas of machine learning, data mining, and information gathering. Specifically, I am interested in information (feature, label, preference, etc) acquisition for domains where the information is costly and it requires human annotation and feedback, laboratory experiments, surveys, etc. More detailed information is iavailable in my vita (in pdf).

Publications

• Refereed Journals

  Mustafa Bilgic and Lise Getoor. Reflect and Correct: A Misclassification Prediction Approach to Active Inference. To appear in ACM TKDD, October 2009.

  Hyunmo Kang, Lise Getoor, Ben Shneiderman, Mustafa Bilgic, and Louis Licamele. Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation. IEEE Transactions on Visualization and Computer Graphics (TVCG), vol.14, no.5, pp.999-1014, 2008.

   

• Refereed Magazine Articles

  Prithviraj Sen, Galileo Mark Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, and Tina Eliassi-Rad. Collective Classification in Network Data. AI Magazine, vol.29, no.3, 2008.

   

• Book Chapters

  Galileo Mark Namata, Prithviraj Sen, Mustafa Bilgic, and Lise Getoor. Collective Classification for Text Classification. Text Mining: Classification, Clustering, and Applications. Ashok Srivastava and Mehran Sahami (eds.), 2009.

   

• Conference Proceedings

  Mustafa Bilgic, Lise Getoor. Effective Label Acquisition for Collective Classification. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008. Best Student Paper Award Winner. VideoLectures Link

  Mustafa Bilgic, Lise Getoor. VOILA: Efficient Feature-value Acquisition for Classification. Twenty-Second Conference on Artificial Intelligence (AAAI), 2007.

  Mustafa Bilgic, Louis Licamele, Lise Getoor, and Ben Shneiderman. D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. In Visual Analytics Science and Technology (VAST), 2006.

  Mustafa Bilgic, Louis Licamele, Lise Getoor, and Ben Shneiderman. D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. In International Symposium on Graph Drawing (GD), 2005.

   

• Workshop Proceedings

  Mustafa Bilgic, Galileo Mark Namata, and Lise Getoor. Combining Collective Classification and Link Prediction. In IEEE ICDM Workshop on Mining Graphs and Complex Structures (MGCS), 2007.

  Louis Licamele, Mustafa Bilgic, Lise Getoor, and Nick Roussopoulos. Capital and Benefit in Social Networks. In ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD), 2005.

  Mustafa Bilgic and Raymond J Mooney. Explaining Recommendations: Satisfaction vs Promotion. In Proceedings of Beyond Personalization: A Workshop on the Next Stage of Recommender Systems Research at the International Conference on Intelligent User Interfaces, 2005.

   

• Technical Reports

  Prithviraj Sen, Galileo Mark Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, and Tina Eliassi-Rad. Collective Classification in Network Data. Technical Report, University of Maryland, College Park, 2008.

Courses

• Machine Learning (Lise Getoor)
• Statistical Relational Learning (Lise Getoor)
• Link Mining (Lise Getoor)
• Natural Language Processing (Philip Resnik)
• Pattern Recognition (Rama Chellappa)
• Knowledge Discovery and Data Mining (Joseph JaJa)
• Database Management Systems (Nick Roussopoulos)
• Information Visualization (Ben Shneiderman)
• Image Segmentation (David Jacobs)
• Approximation Algorithms (Samir Khuller)
• Computers and Games (Clyde Kruskal)
• How to do Reseach (Clyde Kruskal)

Contact

3228 AV Williams Building
University of Maryland
College Park, MD 20742

mbilgic AT cs.umd.edu

Links

Lise Getoor

LINQS Research Group

Last updated on Oct 27, 2009.