Mehran Sahami | Associate Professor of Computer Science | Stanford University

Summary

In 2007, I joined the Computer Science Department at Stanford University as Associate Professor (Teaching) and Associate Chair for Education. From 2001 to 2006, I also taught in the CS department at Stanford as a Lecturer. From 2002-2007, I was a full-time Senior Research Scientist at Google. After moving to Stanford, I continued to consult at Google part-time until 2010. My research interests include computer science education, machine learning, and information retrieval on the Web. Please see my publications web page for more information.

Previously, I worked for several years as a Senior Engineering Manager at Epiphany. Prior to working at Epiphany, I completed my PhD in the Computer Science Department at Stanford. I was also an undergrad at Stanford and I loved it so much that I didn't want to leave.

Outside of work, I enjoy spending time with family, playing the guitar, going on outdoor excursions, and sleeping (which seems to be getting rarer and rarer these days). I also continue to maintain a foot in the start-up world by serving on advisory boards to various companies.

Current Institution	Stanford University
Department	Computer Science
Disciplines	Physical Sciences: Computer Science: Intro to Computer Science
Address	Gates Building, Room 180 Stanford California 94305 United States Phone: (650) 723-6059
Office Hours	Tuesdays 3:00pm-5:00pm and Wednesdays 4:15pm-5:15pm

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Education

Stanford University

PhD,

Computer Science

Work Experience

Associate Professor of Computer Science

Stanford University

(2007 - Present)

Lecturer

Stanford University

(2001 - 2006)

Achievements

Grants & Scholarship Honors & Awards Professional Memberships

General

Publication Summary

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Publications Summary

Selected Publications

Papers are listed in reverse chronological order.

M. Sahami, A. Aiken, and J. Zelenski. 2010. Expanding the Frontiers of Computer Science: Designing a Curriculum to Reflect a Diverse Field. In Proceedings of the 41st ACM Technical Symposium on Computer Science Education (SIGCSE 2010). 2010.
N. Parlante, T. P. Murtagh, M. Sahami, O. L. Astrachan, D. Reed, C. A. Stone, B. Heeringa, and K. L. Reid. 2009. Nifty assignments. In Proceedings of the 40th ACM Technical Symposium on Computer Science Education (SIGCSE 2009). 2009. pp. 483-484.
M. Patel, R. Gossweiler, M. Sahami, J. Blackburn, D. Brown, and A. Knight. 2008. Google TV search: dual-wielding search and discovery in a large-scale product. In Proceedings of the First International Conference on Designing Interactive User Experiences for TV and Video (UXTV 2008), 2008, pp. 95-104.
R. Bekkerman, M. Sahami, and E. Learned-Miller. 2006. Combinatorial Markov Random Fields. In Proceedings of 17th European Conference on Machine Learning (ECML), 2006.
M. Sahami and T. D. Heilman. 2006. A Web-based Kernel Function for Measuring the Similarity of Short Text Snippets. In Proceedings of the 15th International World Wide Web Conference (WWW), 2006.
R. Bekkerman and M. Sahami. 2006. Semi-supervised Clustering using Combinatorial MRFs. In Proceedings of ICML Workshop on Learning in Structured Output Spaces, 2006.
M. Sahami. 2006. Mining the Web to Determine Similarity Between Words, Objects, and Communities. In Proceedings of the 19th International FLAIRS Conference (FLAIRS), 2006. (Invited paper)
M. Sahami. 2006. Scaling Computer Science Education to Education on Scaling in Computer Science. White Paper presented at Workshop on Integrative Computing Education & Research (ICER): Preparing IT Graduates for 2010 and Beyond, 2006.
M. Bilenko, S. Basu, and M. Sahami. 2005. Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping. In Proceedings of the 5th IEEE International Conference on Data Mining (ICDM), 2005.
E. Spertus, M. Sahami, and O. Buyukkokten. 2005. Evaluating Similarity Measures: A Large-Scale Study in the Orkut Social Network. In Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2005.
S. Baluja, M. Sahami, and H. Rowley. 2004. Efficient Face Orientation Discrimination. In Proceedings of the IEEE International Conference on Image Processing (ICIP), 2004.
M. Sahami, V. Mittal, S. Baluja, and H. Rowley. 2004. The Happy Searcher: Challenges in Web Information Retrieval. In Proceedings of the Eighth Pacific Rim Conference on Artificial Intelligence (PRICAI), 2004. (Invited paper)
L. Gravano, P. Ipeirotis, and M. Sahami. 2003. QProber: A System for Automatic Classification of Hidden-Web Databases. In ACM Transactions on Information Systems (TOIS). 21(1): 1-41.
L. Gravano, P. Ipeirotis, and M. Sahami. 2002. Query- vs. Crawling-based Classification of Searchable Web Databases. In IEEE Data Engineering Bulletin, 25(1), March 2002.
P. Ipeirotis, L. Gravano, and M. Sahami. 2001. Probe, Count, and Classify: Categorizing Hidden Web Databases. In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2001.
P. Ipeirotis, L. Gravano, and M. Sahami. 2001. PERSIVAL: Categorizing Hidden-Web Resources. In Proceedings of the 1st ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2001.
P. Ipeirotis, L. Gravano, and M. Sahami, 2000. Automatic Classification of Text Databases Through Query Probing. In Selected Papers from the ACM SIGMOD Workshop on the Web and Databases (WebDB), 2000.
R. Kohavi and M. Sahami. 2000. Integrating Data Mining into Vertical Solutions. In SIGKDD Explorations 1(2): 55-58.
M. Sahami. 1998. Using Machine Learning to Improve Information Access. PhD Thesis, Stanford University, Computer Science Department. STAN-CS-TR-98-1615.
S. T. Dumais, J. Platt, D. Heckerman, and M. Sahami. 1998. Inductive learning algorithms and representations for text categorization. In CIKM-98: Proceedings of the Seventh International Conference on Information and Knowledge Management, 1998.
M. Sahami, S. Dumais, D. Heckerman, and E. Horvitz. 1998. A Bayesian Approach to Filtering Junk E-Mail. In Learning for Text Categorization: Papers from the 1998 Workshop. AAAI Technical Report WS-98-05.
M. Sahami, S. Yusufali, and M. Q. W. Baldonado. 1998. SONIA: A Service for Organizing Networked Information Autonomously. In Digital Libraries 98: Proceedings of the Third ACM Conference on Digital Libraries, pp. 200-209, New York, NY: ACM.
M. Goldszmidt and M. Sahami. 1998. A Probabilistic Approach to Full-Text Document Clustering. Technical Report ITAD-433-MS-98-044, SRI International.
D. Koller and M. Sahami. 1997. Hierarchically Classifying Documents Using Very Few Words. In ICML-97: Proceedings of the Fourteenth International Conference on Machine Learning, pp. 170-178, San Francisco, CA: Morgan Kaufmann.
P. Langley, K. Pfleger, and M. Sahami. 1997. Lazy acquisition of place knowledge. In Artificial Intelligence Review. Special issue on "Lazy Learning", Vol. 11, pp. 315-342, Kluwer.
M. Sahami. 1997. Applications of Machine Learning to Information Access. In AAAI-97: Proceedings of the Fourteenth National Conference on Artificial Intelligence, p. 816, Menlo Park, CA: AAAI Press. (AAAI-97 Doctoral Consortium).
M. Sahami, S. Yusufali, and M. Q. W. Baldonado. 1997. Real-time Full-text Clustering of Networked Documents (Abstract). In AAAI-97: Proceedings of the Fourteenth National Conference on Artificial Intelligence, p. 845, Menlo Park, CA: AAAI Press.
D. Koller and M. Sahami. 1996. Toward Optimal Feature Selection. In ICML-96: Proceedings of the Thirteenth International Conference on Machine Learning, pp. 284-292, San Francisco, CA: Morgan Kaufmann.
M. Sahami, M. Hearst, and E. Saund. 1996. Applying the Multiple Cause Mixture Model to Text Categorization. In ICML-96: Proceedings of the Thirteenth International Conference on Machine Learning, pp. 435-443, San Francisco, CA: Morgan Kaufmann.
R. Kohavi and M. Sahami. 1996. Error-Based and Entropy-Based Discretization of Continuous Features. In KDD-96: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, pp. 114-119, Menlo Park, CA: AAAI Press.
M. Sahami. 1996. Learning Limited Dependence Bayesian Classifiers. In KDD-96: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, pp. 335-338, Menlo Park, CA: AAAI Press.
M. Sahami. 1996. Generating Neural Networks Through the Induction of Threshold Logic Unit Trees. In Engineering Applications of Artificial Intelligence, Vol. 9, No. 2, pp. 129-136, Elsevier Science Ltd.
J. Dougherty, R. Kohavi, and M. Sahami. 1995. Supervised and Unsupervised Discretization of Continuous Features. In ML-95: Proceedings of the Twelfth International Conference on Machine Learning, pp. 194-202, San Francisco, CA: Morgan Kaufmann.
M. Sahami. 1995. Learning Classification Rules Using Lattices (Extended Abstract). In ECML-95: Proceedings of the Eighth European Conference on Machine Learning, pp. 343-346. Berlin, Germany: Springer-Verlag.
M. Sahami. 1995. Generating Neural Networks Through the Induction of Threshold Logic Unit Trees (Extended Abstract). In ECML-95: Proceedings of the Eighth European Conference on Machine Learning, pp. 339-342. Berlin, Germany: Springer-Verlag.
M. Sahami. 1995. Generating Neural Networks Through the Induction of Threshold Logic Unit Trees. In Proceedings of the First International IEEE Symposium on Intelligence in Neural and Biological Systems, pp. 108-115, Washington, DC: IEEE Press.
This paper has more results and discussion than the ECML-95 paper above.
M. Sahami. 1993. Learning Non-Linearly Separable Boolean Functions With Linear Threshold Unit Trees and Madaline-Style Networks. In AAAI-93: Proceedings of the Eleventh National Conference on Artificial Intelligence, pp. 335-341. Menlo Park, CA: AAAI Press.