ICERM

Archive: The Virtual Institute for Mathematical and Statistical Sciences (VI-MSS)

More information about SAVI

VI-MSS Steering Committee

Jill Pipher
(ICERM)
Govind Menon
(ICERM)
Richard Smith
(SAMSI)
Amarjit Buddhiraja
(SAMSI)
R. Balasubramanian, Director
(IMSc Chennai)
Rajeeva Karandikar, Director
(CMI Chennai)
G. Rangarajan,
(Dept of Mathematics IISc Bangalore)
Bimal Roy, Director
(ISI Kolkata)

Description

The Virtual Institute of Mathematical and Statistical Sciences (VI-MSS) is a new partnership that connects two US mathematical sciences institutes with several mathematics and statistics institutes in India.

VI-MSS will sponsor joint workshops, research visits and graduate educational activities with support from the US National Science Foundation, the Indo-US Science and Technology Forum, and the Indian Department of Science and Technology. It is part of a broader NSF initiative known as SAVI (Science Across Virtual Institutes).

This US-Indo collaboration will create a thriving "virtual" institute in the mathematical and statistical sciences based on collaboration between the following institutions.

In US:

Institute for Computational and Experimental Research in Mathematics (ICERM), Providence, RI
Statistical and Applied Mathematical Sciences Institute (SAMSI), Research Triangle Park, NC

In India:

Chennai Mathematical Institute (CMI), Chennai
Indian Institute of Science (IISc), Bangalore
Institute of Mathematical Sciences (IMSc), Chennai
Indian Statistical Institute (ISI), Kolkata, Delhi, Bangalore
Tata Institute of Fundamental Research (TIFR), Mumbai

Affiliated Institutes

To see a list of current and upcoming programs click here.

Archived Scientific Programs

Mathematical and Statistical Aspects of Cryptography (January 12-14, 2012) (in Kolkata, India)

Mathematical and Statistical Aspects of Cryptography (January 12-14, 2012)
(in Kolkata, India)

Organizing Committee

Jeff Hoffstein
(ICERM, Brown University)
Jill Pipher
(ICERM, Brown University)
Bimal Roy
(Indian Statistical Institute)

Description

This workshop focuses on mathematical and statistical aspects of public key cryptography. The main ingredients from mathematics so far include discrete logarithms and factoring over the integers, generalizations of the discrete logarithm to elliptic curves, hyperelliptic curves and further generalizations, aspects of infinite non-abelian groups, and closest vector problems (CVP) in integer lattices. Cryptanalysis in all of these areas can involve analyses of patterns in vast amounts of data, hence the need for statistical methods. One goal of this workshop, though not the only one, is to focus attention on the problem of quantifying the complexity of lattice-based problems, for example extrapolating the difficulty of solving a CVP in an integer lattice as a function of its dimension and other parameters.

A copy of the presentations given at this workshop is available as a PDF document.