Krishnaram Kenthapadi
Krishnaram Kenthapadi is a Researcher at Microsoft Search Labs in Mountain View, California. He graduated with a Ph.D. degree in Computer Science from Stanford University in 2006, under the supervision of Professor Rajeev Motwani. His Ph.D. thesis is titled "Models and Algorithms for Data Privacy". Before joining Stanford, he received his Bachelors degree in Computer Science and Engineering from Indian Institute of Technology-Madras. His recent research interest is in applying data mining techniques for improving education. His other interests include web algorithms, privacy preserving data mining, hashing and load balancing. He received the Best Student Paper award in the SODA 2006 conference. His WWW 2009 paper was nominated for the Best Paper Award.
Publications
- James Cook, Krishnaram Kenthapadi, and Nina Mishra, Group Chats on Twitter, in International World Wide Web Conference (WWW), ACM, May 2013
- Rakesh Agrawal, Sunandan Chakraborty, Sreenivas Gollapudi, Anitha Kannan, and Krishnaram Kenthapadi, Empowering Authors to Diagnose Comprehension Burden in Textbooks, in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), ACM, August 2012
- Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, and Krishnaram Kenthapadi, Electronic Textbooks and Data Mining (invited paper), in International Conference on Web-Age Information Management (WAIM), LNCS 7418, Springer, August 2012
- Rakesh Agrawal, Sunandan Chakraborty, Sreenivas Gollapudi, Anitha Kannan, and Krishnaram Kenthapadi, Quality of Textbooks: An Empirical Study, in ACM Symposium on Computing for Development (ACM DEV), ACM, March 2012
- Marc Najork, Dennis Fetterly, Alan Halverson, Krishnaram Kenthapadi, and Sreenivas Gollapudi, Of Hammers and Nails: An Empirical Comparison of Three Paradigms for Processing Large Graphs, in 5th ACM International Conference on Web Search and Data Mining (WSDM), ACM, February 2012
- Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, and Nina Mishra, Privacy via the Johnson-Lindenstrauss Transform, in Journal of Privacy and Confidentiality, 2012
- Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, and Krishnaram Kenthapadi, Data Mining for Improving Textbooks (invited paper), in SIGKDD Explorations Newsletter, ACM, December 2011
- Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, and Krishnaram Kenthapadi, Enriching Textbooks with Images, in International Conference on Information and Knowledge Management (CIKM), ACM, October 2011
- Shaui Ding, Sreenivas Gollapudi, Samuel Ieong, Krishnaram Kenthapadi, and Alexandros Ntoulas, Indexing Strategies for Graceful Degradation of Search Quality, in International ACM SIGIR Conference (SIGIR), ACM, July 2011
- Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, and Krishnaram Kenthapadi, Enriching Education through Data Mining (invited paper), in International Conference on Pattern Recognition and Machine Intelligence (PReMI), LNCS 6744, Springer Verlag, June 2011
- Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, and Krishnaram Kenthapadi, Identifying Enrichment Candidates in Textbooks, in International World Wide Web Conference (WWW), ACM, March 2011
- Rakesh Agrawal, Sreenivas Gollapudi, Krishnaram Kenthapadi, Nitish Srivastava, and Raja Velu, Enriching Textbooks Through Data Mining, in ACM Symposium on Computing for Development (ACM DEV), ACM, December 2010
- Gagan Aggarwal, Tomás Feder, Krishnaram Kenthapadi, Samir Khuller, Rina Panigrahy, Dilys Thomas, and An Zhu, Achieving anonymity via clustering, in ACM Transactions on Algorithms (TALG), vol. 6, no. 3, pp. 49:1–49:19, ACM, July 2010
- Aleksandra Korolova, Krishnaram Kenthapadi, Nina Mishra, and Alex Ntoulas, Releasing Search Queries and Clicks Privately, in International World Wide Web Conference (WWW), ACM, April 2009
- Rakesh Agrawal, Alan Halverson, Krishnaram Kenthapadi, Nina Mishra, and Panayiotis Tsaparas, Generating Labels from Clicks, in International Conference on Web Search and Data Mining (WSDM), ACM, February 2009
- Shubha Nabar, Krishnaram Kenthapadi, Nina Mishra, and Rajeev Motwani, A Survey of Query Auditing Techniques for Data Privacy, in Privacy-Preserving Data Mining: Models and Algorithms, Kluwer Academic Publishers, 2008
- Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, and Moni Naor, Our Data, Ourselves: Privacy Via Distributed Noise Generation, in Advances in Cryptology (EUROCRYPT 2006), Springer Verlag, Saint Petersburg, Russia, May 2006
- Shubha U. Nabar, Bhaskara Marthi, Krishnaram Kenthapadi, Nina Mishra, and Rajeev Motwani, Towards Robustness in Query Auditing, in VLDB, Very Large Data Bases Endowment Inc., 2006
- Gagan Aggarwal, Tomás Feder, Krishnaram Kenthapadi, Samir Khuller, Rina Panigrahy, Dilys Thomas, and An Zhu, Achieving Anonymity via Clustering, in PODS, Association for Computing Machinery, Inc., 2006
- Krishnaram Kenthapadi and Rina Panigrahy, Balanced Allocation on Graphs, in SODA (Student Best Paper Award), Association for Computing Machinery, Inc., 2006
- Gagan Aggarwal, Mayank Bawa, Prasanna Ganesan, Hector Garcia-Molina, Krishnaram Kenthapadi, Rajeev Motwani, Utkarsh Srivastava, Dilys Thomas, and Ying Xu, Two Can Keep a Secret: A Distributed Architecture for Secure Database Services, in CIDR, 2005
- Krishnaram Kenthapadi, Nina Mishra, and Kobbi Nissim, Simulatable Auditing, in PODS, Association for Computing Machinery, Inc., 2005
- Krishnaram Kenthapadi and Gurmeet Singh Manku, Decentralized Algorithms using both Local and Random Probes for P2P Load Balancing, in SPAA, Association for Computing Machinery, Inc., 2005
- Gagan Aggarwal, Tomás Feder, Krishnaram Kenthapadi, Rajeev Motwani, Rina Panigrahy, Dilys Thomas, and An Zhu, Approximation Algorithms for k-Anonymity, in Journal of Privacy Technology, 2005
- Gagan Aggarwal, Mayank Bawa, Prasanna Ganesan, Hector Garcia-Molina, Krishnaram Kenthapadi, Nina Mishra, Rajeev Motwani, Utkarsh Srivastava, Dilys Thomas, Jennifer Widom, and Ying Xu, Vision Paper: Enabling Privacy for the Paranoids, in VLDB, Very Large Data Bases Endowment Inc., 2004
RESEARCHER
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Contact Information:
Krishnaram Kenthapadi
Microsoft Research
1065 La Avenida
Mountain View, CA 94043, USA
+1-650-693-2114
E-Mail:
krishnaram.kenthapadi [at] microsoft.com
Personal Website:
http://theory.stanford.edu/~kngk
Projects:
Amplifying Learning through Electronic Textbooks
Groups:
