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The theme of the conference shall focus on

  • Classical Matrix Theory
  • Matrices and Graphs
  • Combinatorial Matrix Theory
  • Matrix and Graph Methods in Statistics, and
  • Covariance Analysis and Applications in Nuclear Data.

Linear Algebra and Graph Theory are important branches of Mathematics having applications in each and every branch of Applied Sciences. 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 and Statistical Inference having applications in various branches of Applied Statistics such as Natural Sciences, Medicine,Economics, Electrical Engineering, Markov Chains, Digital Signal Processing, Pattern Recognition and Neural Network, to name a few. Advances in Combinatorial Matrix theory are motivated by a wide range of subjects such as Networks, Chemistry, Genetics, Bioinformatics, Computer Science, and Information Technology. The areas of Classical Matrix Theory and Combinatorial Matrix Theory interact with each other, which is evident from the interplay between Graphs and Matrices. Generalized Inverses of Matrices such as the Incidence Matrix and Laplacian Matrix are mathematically interesting and have great practical significance. Covariance Matrices play an important role in the study of uncertainty associated with data related to measurements, which is an important part of applied Mathematics and Statistics.

This conference is in sequel to the conferences ‘CMTGIM 2012’ and `ICLAA 2014’ held in Manipal during January 2012 and December 2014, respectively. The present conference shall provide a platform for leading Mathematicians and Statisticians, working around the globe in the theme area to discuss several research issues and to introduce new innovations. The main goal of the conference is to bring experts, young researchers, and students together to present recent developments in this dynamic and important field. The conference also aims to stimulate research and support the interaction between the scientists by creating an environment for the participants to exchange ideas and to initiate collaborations and professional partnerships. This conference also dedicates a few sessions to ‘Applications of Covariance Analysis in Nuclear Data’, and plans a preconference meeting on ‘Applications of Linear Model in the Evaluation of Nuclear Data’, which is an important topic in the Indian context. The event is also expected to provide a platform for the interactions between Mathematicians, Statisticians and Data Scientists.

组委会

The list given below is a initial list of speakers  who have given their consent and the list will be updated as we get more confirmation.

  • Md. Maruf Ahmed, BRAC University, Dhaka, Bangaladesh
  • Rafikul Alam, Indian Institute of Technology, Guwahati, India
  • Oskar Maria Baksalary, Uniwersytet im. Adama Mickiewicza, Poland (TBC)
  • R. Balakrishnan, Bharathidasan University, India
  • Ravindra B Bapat, Indian Statistical  Institute, Delhi, India
  • Rajendra Bhatia, Indian Statistical  Institute, Delhi, India
  • S. Parameshwara Bhatta, Mangalore University, Mangalore
  • Paritosh Biswas, Executive Secretary, von-Karman Society, Jalpaiguri, West Bengal
  • B. V. Rajarama Bhat, Indian Statistical Institute, Bangalore, India
  • Zheng Bing,  School of Mathematics & Statistics, Lanzhou University, PR China
  • Arup Bose, Indian Statistical Institute, Kolkata, India(TBC)
  • Federico Carminati, CERN, Genève
  • Somnath Datta, University of Florida, USA
  • Susmita Datta, University of Florida, USA
  • N. Eagambaram, CSO, MOSPI, India
  • S. Ganesan, RPDD, Bhabha Atomic Research Centre, India
  • Seetharama Gowda, University of Maryland, Maryland, U.S.A.
  • Ebrahim Ghorbani, K. N. Toosi University of Technology, Iran
  • Stephen Haslett, Australian National University, Canberra, Australia
  • Jeffrey Hunter, Auckland University of Technology, Auckland, New Zealand
  • Ajit Iqbal Singh, The Indian National Science Academy, New Delhi
  • Arjan Koning,  Nuclear Data Section, International Atomic Energy Agency, Vienna, Austria
  • Surender Kumar Jain, Ohio University, USA
  • Bhaba Kumar Sarma, Indian Institute of Technology, Guwahati, India
  • Steve Kirkland, University of Manitoba, Canada
  • Andre Leroy, Universite d’ Artois, France
  • S. H.  Kulkarni, Indian Institute of Technology, Madras, India
  • Arbind K Lal, Indian Institute of Technology, Kanpur, India
  • Augustyn Markiewicz, Poznań University of Life Sciences Poznań, Poland
  • Haldhara Naik, Bhabha Atomic Research Centre, India
  • S. K. Neogy,  Indian Statistical  Institute, Delhi, India
  • Helmut Leeb, TU Wien, Vienna
  • Simo Puntanen, University of Tampere, Finland
  • T.E.S. Raghavan, University of Illinois at Chicago, USA
  • Bhaskara Rao Kopparty, Indiana University Northwest, Gary
  • Dimitri Rochman, Paul Scherrer Institute, Villigen, Switzerland
  • Sukanta Pati, Indian Institute of Technology, Guwahati, India
  • Sharad S Sane, Indian Institute of Technology, Bombay, India
  • Alok Saxena, Bhabha Atomic Research Centre, India
  • Peter Schillebeeckx, European Commission, JRC, Belgium
  • Martin Singull, Linköping University, Sweden
  • Henrik Sjostrand, Uppsala University, Uppsala, Sweden
  • Sivaramakrishnan Sivasubramanian, Indian Institute of Technology, Bombay, India
  • K. C. Sivakumar, Indian Institute of Technology, Madras, India
  • Murali K Srinivasan, Indian Institute of Technology, Bombay, India
  • Ashish K. Srivastava, Saint Louis University, USA
  • S. V. Suryanarayana, Bhabha Atomic Research Centre, India
  • Yimin Wie, Fudan University, Shanghai, China
征稿信息

重要日期

2017-09-30
初稿截稿日期

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重要日期
  • 会议日期

    12月11日

    2017

    12月15日

    2017

  • 09月30日 2017

    初稿截稿日期

  • 12月15日 2017

    注册截止日期

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