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I recently defended my Ph.D. in Computer Science at Carnegie Mellon University, on the subject
of machine learning methods for personalization. I am particularly interested
in looking at problems in the social sciences that would benefit from machine learning methodology. My advisor is Carlos Guestrin, and I am currently working on new machine learning algorithms for analyzing blogs and online news. I am a member of the SELECT Lab. From February 2007 through August 2008, I took a leave of absence from the Ph.D. program in order to spend some time in industry. I spent three months at Google in Manhattan, where I worked on Personalized Search. This was followed by a year at MITRE in McLean, Virginia, where I applied machine learning to national policy problems, primarily working with the Securities and Exchange Commission and other agencies of the federal government. Prior to my leave of absence, I was fortunate to work with Tom Mitchell on human brain image analysis and with Andrew Moore on interpretable classification algorithms. I co-organized the Workshop on Enriching Information Retrieval (ENIR 2011) at SIGIR 2011, in Beijing, China, July 28, 2011. In the summer of 2011, I interned at Microsoft Research Cambridge, working with Ralf Herbrich on transparent user models for personalization. Currently, I am co-organizing the NIPS 2012 workshop on Social Network and Social Media Analysis: Methods, Models and Applications, to be held in Lake Tahoe, Nevada, December 7/8, 2012. Publications Khalid El-Arini. Beyond Keyword Search: Representations and Models for Personalization. Doctoral Dissertation, Carnegie Mellon University, January 2013. [pdf] [slides] Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jurgen Van Gael and Blaise Agüera y Arcas. Transparent User Models for Personalization. In Proc. of 18th International Conference on Knowledge Discovery and Data Mining (KDD 2012). August 2012, Beijing, China. [pdf] [supplemental material] [slides] Khalid El-Arini and Carlos Guestrin. Beyond Keyword Search: Discovering Relevant Scientific Literature. In Proc. of 17th International Conference on Knowledge Discovery and Data Mining (KDD 2011). August 2011, San Diego, California. [pdf] Longer version published as Carnegie Mellon Technical Report CMU-ML-11-102 [pdf] [slides] Khalid El-Arini, Gaurav Veda, Dafna Shahaf and Carlos Guestrin. Turning Down the Noise in the Blogosphere. In Proc. of 15th International Conference on Knowledge Discovery and Data Mining (KDD 2009). June 2009, Paris, France. [pdf] [demo] Longer version published as Carnegie Mellon Technical Report CMU-ML-09-103 [pdf] Khalid El-Arini, Andrew W. Moore and Ting Liu. Autonomous Visualization. In Proc. European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2006). September 2006, Berlin, Germany. [pdf] Full version published as Carnegie Mellon Technical Report CMU-CS-06-137 [pdf] Khalid El-Arini and Kevin Killourhy. Bayesian Detection of Router Configuration Anomalies. In Proc. ACM SIGCOMM Workshop on Mining Network Data (MineNet-05). August 2005, Philadelphia, Pennsylvania. [pdf] [longer version available here] [slides] Preprints Khalid El-Arini, Emily B. Fox and Carlos Guestrin. Concept Modeling with Superwords. arXiv:1204.2523, April 2012. [arXiv] Talks Beyond Keyword Search: Taming Information Overload with Rich User Interactions (RAIN Seminar, Stanford University, 2 May 2012). An introductory tutorial on Dirichlet process mixture models (November 2005, updated October 2008). [pdf] Teaching I was a teaching assistant for Probabilistic Graphical Models in Fall 2006 and for undergraduate algorithms in Fall 2009. |
Office: Gates 8127 Phone: (412) 268-2993 Email: Click here Mailing Address: Computer Science Department Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213 Education: Ph.D. Computer Science Carnegie Mellon University (2013) M.S. Computer Science Carnegie Mellon University (2006) B.S. Computer Science B.S. Electrical and Computer Engineering Carnegie Mellon University (2004) |