Suresh Venkatasubramanian

Suresh Venkatasubramanian is an Indian computer scientist and professor at the University of Utah. He is known for his contributions in computational geometry and differential privacy, and his work has been covered by news outlets such as Science Friday, NBC News, and Gizmodo.[1][2][3][4] He also runs the Geomblog, which has received coverage from the New York Times, Hacker News, KDnuggets and other media outlets.[5][6][7][8] He has served as associate editor of the International Journal of Computational Geometry and Applications and as the academic editor of PeerJ Computer Science, and on program committees for the IEEE International Conference on Data Mining, the SIAM Conference on Data Mining, NIPS, SIGKDD, SODA, and STACS.[9]

Suresh Venkatasubramanian
Alma mater	IIT Kanpur Stanford University
Known for	t-closeness
Awards	NSF CAREER Award
Scientific career
Fields	Computational geometry Data mining Differential privacy
Institutions	AT&T Labs Google Simons Institute for the Theory of Computing University of Utah
Thesis	Geometric shape matching and drug design (1999)
Doctoral advisor	Rajeev Motwani Jean-Claude Latombe
Website	http://blog.geomblog.org/

Career

Suresh Venkatasubramanian attended the Indian Institute of Technology Kanpur for his BTech and received his PhD from Stanford University in 1999 under the joint supervision of Rajeev Motwani and Jean-Claude Latombe.[10] Following his PhD he joined AT&T Labs and served as an adjunct professor at the University of Pennsylvania where he taught courses on computational geometry and streaming algorithms for GPGPUs.[11] In 2007 he joined the University of Utah School of Computing as the John E. and Marva M. Warnock Presidential Endowed Chair for Faculty Innovation in Computer Science.[9] He received a National Science Foundation CAREER Award in 2010, and in 2013-2014 he was a visiting scientist at the Simons Institute for the Theory of Computing at UC Berkeley and at Google.[12][9]

References

1. "Why Machines Discriminate—and How to Fix Them - Science Friday". Science Friday. Retrieved 13 April 2017.
2. Gholipour, Bahar (10 March 2017). "Algorithms learn from us — we can be better teachers". NBC News. Retrieved 13 April 2017.
3. Pepitone, Julianne (17 August 2015). "Can Résumé-Reviewing Software Be As Biased As Human Hiring Managers?". NBC News. Retrieved 13 April 2017.
4. Smith-Strickland, Kiona (15 August 2015). "Computer Programs Can Be as Biased as Humans". Gizmodo. Retrieved 13 April 2017.
5. Rich, Motoko (14 April 2006). "'Fibs' Sprout On Web". The New York Times. Retrieved 13 April 2017.
6. "Blogs on Big Data, Business Analytics, Data Mining, and Data Science". KDnuggets. Retrieved 13 April 2017.
7. "HackerNews Search Results for 'geomblog'". Hacker News. Retrieved 13 April 2017.
8. "The Geomblog: Racism/sexism in algorithms • r/MachineLearning". r/MachineLearning. Reddit. Retrieved 13 April 2017.
9. "Suresh Venkatasubramanian". Faculty Activity Report. University of Utah. Retrieved 13 April 2017.
10. Suresh Venkatasubramanian at the Mathematics Genealogy Project
11. "Developer Newsletter: Issue #24". NVIDIA. Retrieved 13 April 2017.
12. "Long-Term Visitors". Simons Institute. UC Berkeley. Retrieved 13 April 2017.