Mayank Lahiri
I am currently a senior software engineer at Amazon Web Services (AWS) in San Francisco.
Prior to Amazon, I was the founder of Iceroad, making a serverless
cloud product called Baresoil (now open-source).
Prior to Iceroad, I was a software engineer at Google, working out of San Francisco, California (where I also live). I was part of the Index Quantitative team, which had an open mandate to analyze various Google Search index and indexing mechanisms, and attempt to improve them in various ways. This included things like the Web graph, Pagerank and other signals, indexing, and crawl scheduling.
Prior to Google, I was a research scientist at Facebook in Menlo Park, California. I worked on the Page Insights team, building a system for analytics on Facebook Pages, and then on the Location and Events team, working on data analysis and building various backend systems for an early prototype of Facebook's GPS-based Nearby Friends feature.
Prior to Facebook, I received my Ph.D. in May 2011 from the University of Illinois at Chicago, where I worked with Professor Tanya Y. Berger-Wolf in the Computational Population Biology Laboratory, part of the Computer Science department. You can find my thesis here, and on Amazon, where it is has been categorized under "Agricultural Sciences" for some reason unknown to me, clearly a lonely outlier in some large, popularity-driven data mining process.
Email: mlahiri @ gmail.com
Publications
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M. Lahiri, C. Tantipathananandh, R. Warungu, D.I. Rubenstein, T.Y. Berger-Wolf.
Biometric Animal Databases from Field Photographs: Identification of
Individual Zebra in the Wild.
Proc. of the ACM International Conference on Multimedia Retrieval (ICMR 2011)
, Trento, Italy, 2011.
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M. Lahiri and M. Cebrian.
The genetic algorithm as a general diffusion model for social networks.
Proc. of the 24th AAAI Conference on Artificial Intelligence (AAAI 2010),
Atlanta, Georgia, 2010.
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[code]
M. Cebrian, M. Lahiri, N. Oliver, A. Pentland.
Measuring the Collective Potential of Populations from Dynamic Interaction Data.
IEEE Journal of Selected Topics in Signal Processing, Volume 4, Issue 4 (2010), pp. 677-686.
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M. Lahiri and T.Y. Berger-Wolf.
Periodic subgraph mining in dynamic networks.
Knowledge and Information Systems, Volume 24, Issue 3 (2010), p. 467.
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M. Lahiri and T.Y. Berger-Wolf.
Mining Periodic Behavior in Dynamic Social Networks.
Proc. of the 8th IEEE International Conference on Data Mining (ICDM 2008),
Pisa, Italy. December 2008.
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M. Lahiri, A. Maiya, R. Sulo, Habiba and T.Y. Berger-Wolf.
The Impact of Structural Changes on Predictions of Diffusion in Networks.
ICDM Workshop on Analysis of Dynamic Networks, Pisa, Italy. December 2008.
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M. Lahiri and T.Y. Berger-Wolf.
Structure Prediction in Temporal Networks using Frequent Subgraphs.
Proc. IEEE CIDM 2007, Honolulu, Hawaii. April 2007.
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C.W. Liew and M. Lahiri.
Exploration or Convergence? Another Meta-Control Mechanism for GAs.
Proc. FLAIRS 2005, Clearwater, Florida. AAAI Press, 2005
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A. Dougherty and M. Lahiri.
Shape of ammonium chloride dendrite tips at small supersaturation.
Journal of Crystal Growth 274 (2005): 233-240 issues 1-2.
Education
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Ph.D. in Computer Science, 2011,
University of Illinois at Chicago, Chicago, IL
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B.S. (Hons.) in Computer Science, 2005,
Lafayette College, Easton, PA
Peer Review Activities
- Program Committee member:
ICWSM 2014,
WWW 2014,
WSDM 2014,
WWW 2013,
SocMP 2012 wkshp. (HPDC 2012),
Soma 2012 wkshp. (KDD 2012)
- Reviewer/Subreviewer:
AAAI 2013,
IEEE Intelligent Systems journal in 2012,
ACM CSCW 2013,
ACM CIKM 2013,
ACM CIKM 2012,
ACM SIGCOMM 2011,
IEEE ICDM 2010.
Other Stuff