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Announcement- Theme Meeting

The topic ‘Matrix Methods in Statistics’ is a branch of linear algebra and matrix theory containing a variety of challenging problems in linear statistical models, statistical inference, and error analysis, having applications in various branches of science which concerns with measurements. Measurement and evaluation of nuclear data is one such very important branch of science having practical significance in designing and monitoring the advanced nuclear systems.The design of advanced nuclear systems demands the assessment of confidence margins in nuclear power plant parameters. The errors in the design parameters of advanced nuclear systems due to errors arising from the uncertainties in basic nuclear data are addressed by the nuclear community by and large through covariance matrix theory. Total Monte Carlo methodology is also being developed for the purpose. A number of countries have studied error propagation in nuclear engineering using errors and covariance among nuclear data. The basic evaluated nuclear data files, such as ENDF/B-VII.1 (USA), JEFF-3.2 (EU), JENDL-4.0 (Japan), TENDL-2015 (EU), etc., (See the IAEA-BARC Mirror website: http://www-nds.indcentre.org.in) are widely used in several applications including energy (e.g., advanced nuclear reactors) and non-energy (e.g., nuclear medicine).

The evaluated nuclear data are specified in evaluated nuclear data files in the form of estimates of mean values and their co-variances. Efforts in India under the DAE-BRNS have been initiated in scientific evaluation of nuclear data, in particular, the extraction of recommended (best estimate) values and their covariance from uncertain, incomplete and error afflicted experimental data require reasoning and inference techniques (Statistics, Bayesian, variants of Kalman Filter) in the face of uncertainties and correlations in raw experimental data.The previous Theme meetings on nuclear data covariances were held in Manipal (2008), Vel-Tech, Chennai (2010) and in BARC, Mumbai (2013).

The current Theme meeting will be held during December 9-13, 2017. The first two days will have special lectures and tutorials for training the researchers in the measurement of covariance matrices, and the later three days of the DAE-BRNS Theme meeting will cover presentations of research articles and invited talks. The December 11-13, 2017 part of the 5-day Theme meeting will also serve as a parallel session in the conference ICLAA 2017 to enable mathematicians and nuclear data science experts interact together, as a unique event. All the sessions in the Theme meeting, December 09-13, 2017 will be dedicated to discuss the importance and generation of covariance information which are essentially involved in the different steps of measurements, processing, evaluation and applications of nuclear data of importanc to nuclear energy and non-energy (e.g., medical) applications, helping all researchers and young scholars involved in this activity.

 

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Invited Speakers of CMTGIM 2012


International Workshop & Conference on Combinatorial Matrix Theory and Generalized Inverses of Matrices

January 02-07, 2012 & January 10-11, 2012,

Manipal University, Manipal

Oskar M. Baksalary
Adam Mickiewicz University, Poland
Ravindra B. Bapat
Indian Statistical Institute, New Delhi
R.Balakrishnan
Bharathidasan University, Tiruchirapplli, India
Bhaskara Rao Kopparty
Indiana State University, Terrehaute, USA
Rajendra Bhatia
Indian Statistical Institute, New Delhi
Francisco Carvalho
Polytechnic Institute of Tomar, Portugal
Jeffrey J. Hunter
Auckland University of Technology, Auckland, New Zealand
S. K. Jain
Ohio University, Athens, USA
Steve Kirkland
National University of Ireland Maynooth, Ireland
S. Tonu Kollo
University of Tartu, Estonia, Europe
S. H.  Kulkarni
Indian Institute of Technology, Madras, Chennai
Augustyn Markiewicz
Poznan University of Life Sciences, Poland
A.R. Meenakshi
Karpagam University, Coimbatore
K. Murali Srinivasan
Indian Institute of Technology, Bombay, Mumbai
Sukanta Pati
Indian Institute of Technology, Guwahati
Simo Puntanen
University of Tampere, Finland
Rafikul Alam
Indian Institute of Technology, Guwahati
T.E.S. Raghavan
University of Illinois at Chicago, USA
Sharad S Sane
Indian Institute of Technology, Bombay, Mumbai
K C Sivakumar
Indian Institute of Technology, Madras, Chennai
S. Sivaramakrishnan
Indian Institute of Technology, Bombay, Mumbai
George P.H. Styan
McGill University, Canada
Gotz Trenkler
Dortmund University, Dortmund, Germany
Hans J. Werner
University of Bonn, Germany

 

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Invited Speakers of ICLAA2014

International Conference on Linear Algebra & its Applications

December 18-20, 2014

Manipal University, Manipal

R. Balakrishnan
Barathidasan University, Tiruchirappalli
Ravindra B. Bapat
Indian Statistical Institute, New Delhi
Abraham Berman
Technion-Israel Institute of Technology, Haifa, Israel
Rajarama Bhat
Indian Statistical Institute, Bangalore
Rajendra Bhatia
Indian Statistical Institute, New Delhi
Arup Bose
Statistics and Mathematics Unit, Indian Statistical Institute, Kolkata
Steve Haslett
Institute of Fundamental Sciences, Massey University, New Zealand
Surender K Jain
Ohio University, Athens, USA
Steve Kirkland
University of Manitoba, Canada
S.H. Kulkarni
DepIndian Institute of Technology, Madras, Chennai
Arbind K. Lal
Indian Institute of Technology, Kanpur
André Leroy
Université d'Artois Lille Nord de France
S.K. Neogy
Indian Statistical Institute, New Delhi
Sukanta Pati
Indian Institute of Technology, Guwahati
Simo Puntanen
University of Tampere, Finland
T.E.S. Raghavan
niversity of Illinois at Chicago, Chicago
Ajit Iqbal Singh
Indian National Science Academy, Bahadur Shah Zafar Marg, New Delhi
K. C. Sivakumar
Indian Institute of Technology, Madras, Chennai
Murali K Srinivasan
Indian Institute of Technology, Bombay, Mumbai
V.S. Sunder
Institute of Mathematical Sciences, Chennai
Wasin So
San Jose State University, San Jose, California