Saket Sathe

Office:
BC 114, EPFL IC IIF LSIR,
Station 14,
CH-1015 Lausanne.

Phone: +41 21 693.12.40
E-mail : firstname [dot] lastname @ epfl [dot] ch

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I'm a PhD candidate at the Distributed Information Systems Laboratory, IC, EPFL, under the direction of Prof. Karl Aberer. In 2006, I received a MTech in Electrical Engineering from IIT, Bombay. Before joining EPFL, I spent one year working for an Indian startup.
Publications. Conferences and Workshops.
  • ConDense: Managing Data in Community-driven Mobile Geosensor Networks
    Sebastian Cartier, Saket Sathe, Dipanjan Chakraborty, Karl Aberer.
    IEEE SECON, Seoul, 2012. [PDF] (Acceptance rate: ~19%).
  • Effectively Modeling Data from Large-area Community Sensor Networks
    Saket Sathe, Sebastian Cartier, Dipanjan Chakraborty, Karl Aberer.
    IPSN, Beijing, 2012 (poster paper). [PDF]
  • Creating Probabilistic Databases from Imprecise Time-Series Data.
    Saket Sathe, Hoyoung Jeung, Karl Aberer.
    ICDE, Hannover, 2011. [PDF] [Slides]
  • OpenSense: Open Community Driven Sensing of Environment.
    K. Aberer, S. Sathe, D. Chakraborty, A. Martinoli, G. Barrenetxea, B. Faltings, L. Thiele.
    ACM SIGSPATIAL IWGS, 2010, San Jose, (co-located with GIS 2010). [PDF] [Slides]
  • Effective Metadata Management in Federated Sensor Networks.
    H. Jeung, S. Sarni, I. Paparrizos, S. Sathe, K. Aberer, N. Dawes, T. Papaioannou, M. Lehning.
    IEEE SUTC, Newport Beach, 2010 (invited paper). [PDF] [Slides] [BibTex]
  • Entity Search with NECESSITY.
    E. Ioannou, S. Sathe, N. Bonvin, A. Jain, S. Bondalapati, G. Skobeltsyn, C. Niederee, Z. Miklos.
    WebDB (demo), 2009, Rhode Island (co-located with PODS/SIGMOD 2009). [PDF]
  • Microcredit Risk Assessment using Fuzzy Clustering.
    Saket Sathe and Uday Desai.
    ICTD, 2006, Berkeley. [BibTex]
  • A Novel Bayesian Classifier using Copula Functions.
    Saket Sathe.
    Unpublished Manuscript. [arXiv]
Technical Reports.
  • ConDense: Managing Data in Community-driven Mobile Geosensor Networks.
    Sebastian Cartier, Saket Sathe, Dipanjan Chakraborty, Karl Aberer.
    EPFL Technical Report (174752), 2012. [PDF] [Slides] [BibTeX]
  • Rumor Spreading in LiveJournal.
    Saket Sathe. (Advisor: Prof. Martin Hasler)
    Dynamical Networks, Course Project Report, 2008. [PDF]
Journals.
  • Saket Sathe, Rajendra Lagu, Uday Desai. Investigating Efficiency of the Indian Equities Market with Application to Risk Management. Journal of Applied Finance, Vol. 12, No. 5, pp. 48-68, May 2006 (ICFAI University Press).
Projects.
  • OKKAM Project: It aims at enabling the Web of Entities, namely a virtual space where any collection of data and information about any type of entities (e.g. people, locations, organizations, events, products, etc.) published on the Web can be integrated into a single virtual, decentralized, open knowledge base (like the Web did for hypertexts, read here what Tim Berners-Lee says on this parallel).
  • Python Web Graph Generator: Released under the Apache License, Version 2.0 (FAQ) (3000+ downloads).
  • OpenSense: The project addresses key research challenges in the domain of information and communication systems related to community-based sensing using wireless sensor network technology in the context of air pollution monitoring. This project will result in open technology that allows integrating diverse sensors, including mobile sensors, into a single environmental model. The information processing techniques we develop will provide important insights to enable other Nano-Tera application domains dealing with monitoring complex events.
  • conftrotter: Conference tracker and conference search engine.
  • Created and managed the IEEE Mobile Data Management 2012 (MDM 2012) conference website (http://mdmconferences.org/mdm2012/)
Professional Activities.
  • Web chair: MDM 2012
  • External Reviewer: DEBS 2010, P2P 2010, SUTC 2010, VLDB 2010, DEBS 2011, EDBT 2011, ICDCS 2011, ICDE 2011, P2P 2011, WISE 2011
Downloads.
  • MATLAB code for estimating parameters of the Normal-Inverse Gaussian (NIG) Distribution. [here]
    Reference: Karlis, D. (2002) An EM type algorithm for maximum likelihood estimation of the Normal-Inverse Gaussian distribution.
  • MATLAB code for calibrating a multivariate Student's t Copula using the Canonical Maximum Likelihood (CML) method. [here]
    Reference: Mashal, R. and Zeevi, A. (2002) Beyond Correlation: Extreme Co-movements Between Financial Assets.
  • MATLAB code for calibrating a multivariate Generalized Hyperbolic Distribution using the Multi-cycle Expectation Conditional Maximization (MCECM) algorithm. [here]. (Note: This code can also be used to calibrate a multivariate Normal Gaussian Distribution.)
    Reference: McNeil, A. and Frey, R. and Embrechts, P. (2005) Quantitative Risk Management. New Jersey: Princeton University Press.
Publications Projects Professional Activities Downloads