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You may download the e-souvenir of IWMS 2021, ICLAA 2021 and ACTGMG 2021 using the link: e-Souvenir_IWMS, ICLAA, and ACTGMG.

Twenty-Eighth International Workshop on Matrices and Statistics
(IWMS 2021)

December 13 - 15, 2021

Centre for Advanced Research in Applied Mathematics and Statistics, MAHE, Manipal, India

Download Brochure

Purpose

The purpose of International Workshop on Matrices and Statistics is to foster, in an informal setting, the interaction of researchers in the interface between Matrix Theory and Statistics.

The 28th International Workshop on Matrices and Statistics, IWMS 2021, will be held during the period December 13-15, 2021 at the Centre for Advanced Research for Applied Mathematics and Statistics, Manipal Academy of Higher Education, (MAHE) Manipal, Karnataka, India.

The theme of the workshop shall focus on the theory and applications of the following topics in different branches of science such as Biology, Computer and Information Science, Economics, Electronics, Genetics, Office Statistics, Social Statistics and Accountancy:

  • Matrix Analysis
  • Projectors in Linear Models & Multivariate Analysis
  • Growth Curve Models
  • Linear Regression Models
  • Linear Statistical Inference
  • Modelling Covariance Structures
  • Multivariate and Mixed Linear Models
  • Statistics in Big Data Analysis.

On behalf of the International Organizing Committee, Scientific Committee, and the Local Organizing Committee we have much pleasure in extending a cordial invitation to participate this workshop.

This series of Workshops has a long history, see https://www.sis.uta.fi/tilasto/iwms/IWMS-history.pdf and we welcome the opportunity to hold the workshop once again in India. The 9th Workshop was held at Hyderabad in 2000, celebrating 80th birthday of Calyampudi Radhakrishna Rao, popularly known as C. R. Rao. The present 28th IWMS will be held beside ICLAA 2021, the common day between IWMS and ICLAA, December 15, 2021, will have some common sessions in honor of Prof. Calyampudi Radhakrishna Rao. We are sure that 28th IWMS will be a great success with the participation of prominent researchers from across the globe working in Statistics, Matrix Theory and allied subjects.

The purpose of the Workshop is to stimulate research and, in an informal setting, to foster the interaction of researchers in the interface between statistics and matrix theory. The Workshop will provide a forum through which statisticians may be better informed of the latest developments and newest techniques in linear algebra and matrix theory and may exchange ideas with researchers from a wide variety of countries.

As well as range of plenary speakers we are to strengthening the interactions between participants by organizing a range of minisymposia in various specialist areas. Beside organizing invited talks from eminent speakers, we invite participants to submit their research articles in the sessions of contributory talks.

Special Issue

We intend to publish a special issue dedicated to the conferences ALAPS 2020, IWMS 2021, and ICLAA 2021 in a reputed journal. We thank ‘AKCE International Journal of Graphs and Combinatorics’ for its consent for publishing a special issue with the articles focused on common area of interest of the journal and conferences.

Guest editorial team invites research articles in the following mentioned focus area for the possible publication in the special issue dedicated to the conferences. Article need not be the one presented in the ALAPS 2020/ IWMS 2021/ ICLAA 2021 and similarly author need not be among speakers or participants of ALAPS 2020/ IWMS 2021/ ICLAA 2021, though we encourage the speakers to submit an article presented in the conference.

Focus Area of Special Issue: Keeping in view of focus area of journal and conference, the articles submitted are expected to be in the following broad area:

  1. Linear Algebra & Matrix Theory
  2. Graphs & Matrices
  3. Applications of Matrices, Graphs, Network and Combinatorics in the area of Statistics & other branches of Sciences.

Guest Editors Team: Consists Scientific Advisory Committee (SAC) members

  1. Ravindra B Bapat, Indian Statistical Institute, Delhi (Chairman, SAC)
  2. Manjunatha Prasad Karantha, MAHE, Manipal, India (Convener, SAC)
  3. Stephen J Kirkland, University of Manitoba, Canada
  4. Simo Puntanen, Tampere University, Finland

associated with

  1. Shaun Fallat, University of Regina, Canada
  2. Debajit Kalita, Tezpur University, India
  3. Rajesh Kannan, Indian Institute of Technology Kharagpur, India
  4. Balaji Ramamurthy, Indian Institute of Technology Madras, India
  5. Sivaramakrishnan Sivasubramanian, Indian Institute of Technology Bombay, India
  6. Yimin Wei, Fudan University, Shanghai, China

Journal: AKCE International Journal of Graphs and Combinatorics (An open access journal)

Web Link: https://www.tandfonline.com/loi/uakc20.

Publisher: Taylor & Francis online

How to Submit: Author may submit an article with in focus area mentioned above, directly to the convener of SAC, who is the coordinator for the special issue and the proceedings ( km.prasad@manipal.edu; kmprasad63@gmail.com) with the suggestion of a guest editor to handle the paper.

Formatting: Author may refer to instructions for authors on the journal site with the link: https://www.tandfonline.com/action/authorSubmission?show=instructions&journalCode=uakc20

Submission fee & APC: There is no Submission Fee or Article Processing Charges (APC) for the articles submitted for the special issue.

Review Process

  1. After receiving an article, manuscript number will be assigned and one among the guest editors will be requested to arrange two reviews of article. In very exceptional cases, we may content with just one review with detailed report
  2. Article, if found suitable, guest editor will be inviting two reviewer to assess the article
  3. Guest editor will be forwarding his/her recommendation (accept/minor revision/major revision/reject based on report/not suitable; reject) to the coordinator
  4. Coordinator will be requesting the author regarding the decision and request the author to take suitable action
  5. After an essential decision on the article, coordinator will forward the article along with recommendation and review reports to the Chief-editor of the journal, who will be taking the final decision on the acceptance of article.

Important Dates

Receiving the articles: April 30, 2022
Completing the review process including necessary revision: September 30, 2022
Submitting the final manuscript in the necessary format: October 31, 2022
Publication of special issue: January 31, 2023 (subject to convenience of AKCE Journal)

Proceedings of conferences

This volume is to cherish the beautiful path laid by the living legend

Calyampudi Radhakrishna Rao

who completed 100 years of fruitful life in 2020 and in memories of young and dynamic

Arbind Kumar Lal

whom we missed in this year of 2021.

The proceedings proposal has been submitted to SPRINGER for the possible publication in a scopus indexed series.

Research articles in detail and expository articles are invited for the possible publication in the volume of proceedings in the focus area of ALAPS 2020, IWMS 2021, ICLAA 2021 and the work by Professor Rao. Though we appreciate the submission of work presented in any of these connected conferences, we also invite any good articles in the form of chapters which throw more light on the work of Professor Rao and help young scholars to understand Rao’s work and further advancements. We welcome articles in memory of Arbind Lal.

Editorial Team

  1. Narayanaswamy Balakrishanan, McMaster University, Canada
  2. Ravindra B Bapat, Indian Statistical Institute, Delhi
  3. Arup Bose, Indian Statistical Institute, Kolkata, India
  4. Manjunatha Prasad Karantha, MAHE, Manipal, India
  5. Stephen J Kirkland, University of Manitoba, Canada
  6. Samir Kumar Neogy, Indian Statistical Institute, Delhi, India
  7. Sukanta Pati, Indian Institute of Technology, Guwahati, India
  8. Simo Puntanen, Tampere University, Finland

Nature of article

We appreciate articles of following nature:

  1. Research or expository
  2. It could be in the focus of area of any of the conferences ALAPS 2020, IWMS 2021, and ICLAA 2021 (Pure and applied linear algebra, Matrix Method in Statistics, Matrices and Graphs, Combinatorial Matrix Theory, and Applications of any of these in applied branches of science)
  3. It could be in area of applied linear algebra and Statistics in which Rao worked

Timeline

Last Date for receiving the articles: April 30, 2022
Completion of Review, including necessary revision: October 31, 2022
Proof reading & Pre-production work by SPRINGER: December 31, 2022
Publication of edited volume: March 31, 2023

Number of pages

We appreciate the number of pages of article restricted to 20-25, but in some exceptional cases it could be more.

Mini Symposium

Title           : A further introduction to Philatelic Lattice Grids (PLGs) with four-sided stamps
                    (First International Mini-Symposium on Mathematical Philately)
Organizer : George PH Styan (McGill University, Canada)
Confirmed Speakers:

  • Garry Ka Lok Chu (Dawson College, Canada)
  • George PH Styan (McGill University, Canada)

Title           : Statistics and Big data: A Research Paradigm Shift
Organizer  : Samir K. Neogy (ISI, Delhi, India)
Confirmed Speakers:

  • Andrzej Janusz (University of Warsaw, Poland)
  • Santosh Singh (Shiv Nadar University, India)

International Organizing Committee – IWMS 2021

  • S. Ejaz Ahmed (Canada)
  • Francisco Carvalho (Portugal)
  • Katarzyna Filipiak (Poland)
  • Daniel Klein (Slovakia)
  • Augustyn Markiewicz (Poland)
  • Dietrich von Rosen (Sweden)
  • Martin Singull (Sweden)
  • George P. H. Styan (Canada) – Honorary Chairman
  • Júlia Volaufová (USA)
  • Hans Joachim Werner (Germany)

About IWMS

  • A short history of the International Workshop on Matrices and Statistics (IWMS), Simo Puntanen and George P. H. Styan
  • More photos and information on the previous workshops

Previous IWMS

  1. Tampere, Finland, August 1990
  2. Auckland, New Zealand, December 1992
  3. Tartu, Estonia, May 1994
  4. Montreal, Quebec, Canada, July 1995
  5. Shrewsbury, UK, July 18-19, 1996
  6. Istanbul, Turkey, August 1997
  7. Fort Lauderdale, Florida, USA, December 1998 [in celebration of T.W. Anderson’s 80th birthday]
  8. Tampere, Finland, August 1999
  9. Hyderabad, India, December 9-13, 2000, [in celebration of C.R. Rao’s 80th birthday]
  10. Voorburg, The Netherlands, August 2001
  11. Lyngby, Denmark, August 1992 [in celebration of G.P.H. Styan’s 65th birthday]
  12. Dortmund, Germany, August 5-8, 2003
  13. Będlewo, Poznań, Poland, August 18-21, 2004 [in celebration of I. Olkin’s 80th birthday]
  14. Massey University, Albany Campus, Auckland, New Zealand, March 29 – Abril 1, 2005 [memorial session for Jerzy K. Baksalary (1944-2005)]
  15. Uppsala, Sweden, June 13-16, 2006
  16. Ontario, Canada, June 1-3, 2007
  17. Tomar, Portugal, July 22-26, 2008 [in celebration of T.W. Anderson’s 90th birthday]
  18. Smolenice Castle, Slovakia, June 23-27, 2009
  19. Shanghai University of Finance and Economics, Shanghai, China, June 5-8, 2010
  20. Tartu, Estonia, June 27-30, 2011 [special session for Muni S. Srivastava’s 75th birthday]
  21. Będlewo, Poznań, Poland, July 16-20, 2012 [special session for George P.H. Styan’s 75th birthday]
  22. University of Toronto, Ontario, Canada, August 12-15, 2013 [memorial session for Shayle R. Searle (1928-2013)]
  23. Ljubljana, Slovenia, June 8-12, 2014
  24. Haikou City, Hainan Province, China, May 25-28, 2015 [special sessions for Kai-Tai Fang’s 75th Birthday & Simo Puntanen’s 70th Birthday]
  25. Funchal, Madeira Island, Portugal, June 6-9, 2016 [special session for Jeffrey J. Hunter’s 75th birthday]
  26. Montreal, Quebec, Canada, June 5-7, 2018
  27. Shanghai, China, June 6-9, 2019

We do hope, we have an opportunity to meet in Manipal and enjoy the academic deliberation.

Simo Puntanen (Finland)

Chair, International Organizing Committee

28th International Workshop on Matrices and Statistics

Ravindra B Bapat

Chair, Scientific Committee

ICLAA 2021 & IWMS 2021

Narayana Sabhahit (Registrar, MAHE)

Chair, Local Organizing Committee

ICLAA 2021 & IWMS 2021

Twenty-Eighth International Workshop on Matrices and Statistics

December 13 - 15, 2021

Commitee

You may download the e-souvenir of IWMS 2021, ICLAA 2021 and ACTGMG 2021 using the link: e-Souvenir_IWMS, ICLAA, and ACTGMG.

Patrons
Dr. M. Ramdas Pai
Chancellor
Manipal Academy of Higher Education, Manipal, India
Dr. H. S. Ballal
Pro Chancellor
Manipal Academy of Higher Education, Manipal, India
Lt. Gen. (Dr.) M. D. Venkatesh
Vice Chancellor
Manipal Academy of Higher Education, Manipal, India
Dr. H. Vinod Bhat
Executive Vice President
Manipal Academy of Higher Education, Manipal, India
Dr. PLNG Rao
Pro Vice Chancellor(Quality Assurance and Faculty of Health Sciences)
Manipal Academy of Higher Education, Manipal
Dr. Helmut Brand
Director
Prasanna School of Public Health, MAHE, Manipal, India
Dr. (Cdr) Anil Rana
Director
Manipal Institute of Technology, MAHE, Manipal, India
Advisory Committee
Lt. Gen. (Dr.) M. D. Venkatesh (Chairman)
Vice Chancellor
Manipal Academy of Higher Education, Manipal, India
Syed Ejaz Ahmed
Professor
Brock University, Ontario, Canada
Narayanaswamy Balakrishnan
Professor
McMaster University, Hamilton, Canada
Abraham Berman
Emeritus Professor
Technion-Israel Institute of Technology, Israel
Paritosh Biswas
Senior Academician in Higher Mathematics
Von Karman Society, Jalpaiguri, India
Rajendra Bhatia
Professor
Ashoka University, Haryana, India
Francisco Carvalho
Adjunct Professor
Polytechnic Institute of Tomar, Portugal
Katarzyna Filipiak
Professor
Poznan University of Technology, Poland
S. Ganesan
Former Scientific Officer in Reactor Physics Division
Bhabha Atomic Research Centre, Mumbai, India
Surender Kumar Jain
Emeritus Professor
Ohio University, USA
Daniel Klein
Professor
PJ Safarik University in Kosice, Slovak Republic
S. H. Kulkarni
Professor (Rtd)
Indian Institute of Technology, Madras
Augustyn Markiewicz
Professor
Poznań University of Life Sciences, Poland
Samir K. Neogy
Professor & Head
Indian Statistical Institute, Delhi Centre, India
Simo Puntanen
Visiting Researcher
Tampere University, Finland
T. E. S. Raghavan
Emeritus Professor
University of Illinois at Chicago, USA
K. P. S. Bhaskara Rao
Professor
Indiana University Northwest, Gary, Indiana
T. S. S. R. K. Rao
Visiting Professor
Shiv Nadar Institute of Eminence, Delhi NCR, India
Dietrich von Rosen
Visiting Professor
Swedish University of Agricultural Sciences, Sweden
Sharad Sane
Adjunct Professor
Chennai Mathematical Institute, Chennai, India
Bhaba Kumar Sarma
Professor
Indian Institute of Technology Guwahati, India
Ajit Iqbal Singh
Emeritus Professor
Indian National Science Academy, New Delhi, India
Martin Singull
Professor
Linköping University, Linköping, Sweden
George P. H. Styan
Emeritus Professor
McGill University, Canada
Hans-Joachim Werner
Professor
University of Stuttgart, Germany
Scientific Committee
R. B. Bapat (Chairman)
Professor & Adjunct Professor
Indian Statistical Institute, Delhi Centre & MAHE, Manipal, India
Manjunatha Prasad Karantha (Convenor)
Professor & Coordinator, CARAMS
Manipal Academy of Higher Education, Manipal, India
Stephen J. Kirkland
Professor and Head
University of Manitoba, Canada
Simo Puntanen
Visiting Researcher
Tampere University, Finland
National Organising Committee
Rafikul Alam
Professor
Indian Institute of Technology Guwahati, India
B. V. Rajarama Bhat
Professor
Indian Statistical Institute, Bangalore, India
Arup Bose
Professor
Indian Statistical Institute, Kolkata, India
Biswajit Deb
Professor
Sikkim Manipal Institute of Technology, Sikkim, India
Arbind K. Lal
Professor
Indian Institute of Technology, Kanpur
Samir K. Neogy
Professor & Head
Indian Statistical Institute, Delhi Centre, India
Sukanta Pati
Professor
Indian Institute of Technology Guwahati, India
Balaji Ramamurthy
Associate Professor
Indian Institute of Technology Madras, India
Anjan Raychaudhuri
Professor & HOD, Department of Mathematics
Sikkim Manipal Institute of Technology, Sikkim, India
Sivaramakrishnan Sivasubramanian
Professor
Indian Institute of Technology Bombay, India
Murali K. Srinivasan
Professor
Indian Institute of Technology Bombay, India
David Michael
Assistant Professor
Sikkim Manipal Institute of Technology, Sikkim
K. C. Sivakumar
Professor
Indian Institute of Technology Madras, India
Local Organising Committee
Manjunatha Prasad Karantha (Organising Secretary)
Professor & Coordinator, CARAMS
Manipal Academy of Higher Education, Manipal, India
Ramesha C. (Co-organising Secretary)
Retd. Professor
Manipal Institute of Technology, MAHE, Manipal
Vasudeva Guddattu (Co-organising Secretary)
Associate Professor
Manipal Academy of Higher Education, Manipal, India
Vinay Madhusudanan (Co-organising Secretary)
Assistant Professor
Manipal Institute of Technology, MAHE, Manipal, India
Local Organising Committee
Asha Kamath
Associate Director, PSPH and Professor, HOD, Department of Data Science
Manipal Academy of Higher Education, Manipal
Anjan Raychaudhuri
Professor & HOD, Department of Mathematics
Sikkim Manipal Institute of Technology, Sikkim, India
G. Sudhakara
Professor
Poornaprajna College, Udupi
Arathi Bhat
Assistant Professor
Manipal Institute of Technology, MAHE, Manipal, India
Biswajit Deb
Professor
Sikkim Manipal Institute of Technology, Sikkim, India
Mohana K. S.
Assistant Professor
Mangaluru University, Mangaluru, India
Umashankara Kelathaya
Research Scholar
Manipal Academy of Higher Education, Manipal, India
Shreemathi Mayya
Professor
Manipal Academy of Higher Education, Manipal, India
Anisha P.
Scientist C
ICMR - National Institute of Virology, Pune
Raksha Poojary
Research Scholar
Manipal Academy of Higher Education, Manipal, India
Vani Lakshmi R.
Assistant Professor
Manipal Academy of Higher Education, Manipal, India
Anirudh Ramesh
Research Scholar
Manipal Academy of Higher Education, Manipal
Divya Shenoy
Assistant Professor
Manipal Institute of Technology, MAHE, Manipal, India
Savitha Varkady
Research Scholar
Manipal Academy of Higher Education, Manipal, India
Santhisheela Y.
Assistant Lecturer
NITK, Suratkal, Mangaluru, India
Sudhamani N. G.
Clerk II
Manipal Academy of Higher Education, Manipal, India
Shubha
Associate
Manipal Academy of Higher Education, Manipal
Vasantha Patil
GDW II
Manipal Academy of Higher Education, Manipal, India

Twenty-Eighth International Workshop on Matrices and Statistics

December 13 - 15, 2021

Registration

You may download the e-souvenir of IWMS 2021, ICLAA 2021 and ACTGMG 2021 using the link: e-Souvenir_IWMS, ICLAA, and ACTGMG.

  • All the participants are required to register for the events with necessary details.
  • Scientific Committee members, Core Committee members and Volunteers are exempted from
    paying the registration fee.
  • For invited speakers inclusive of organizers of mini-symposia, the payment of registration fee is
    optional, depending on their supporting fund availability.
  • Person accompanying a senior delegate (65+) is exempted from paying registration fee.
  • Indian students/scholars/speakers having limited fund support may request for fund support from the
    organizers, covering registration fee and travel expense by eligible mode. Limited number of supports are
    available depending on the availability of conference supporting grants from different agencies. CARAMS also
    may provide a few such support.
  • Registered participants failing to pay the registration fee before November 01, 2021, cannot claim any
    support.
  • Delegates invited for an event could participate(in-person) in other only by paying the necessary
    registration and by informing well in advance.
  • A few number of limited support may be available for the foreign/developing country students, depending on
    external/CARAMS fund support available.
  • No reimbursement of any part of registration fee will be made once the payment is done.
Important Dates
    • Last date for registration (attending in-person and virtually) : December 01, 2021
    • Last date for abstract submission: November 25, 2021
    • Notification of abstract acceptance: December 05, 2021
    • In case of delegates making virtual presentation, deadline for registration, payment of registration fee,
      submission of abstract and submission of prerecorded talk is November 15, 2021
Registration Fee (for virtual participation)
Category IWMS 2021 / ICLAA 2021 / IWMS 2021 + ICLAA 2021
Foreign Nationals $100
Indian Nationals, Research Scholars, Faculty and students ₹1000+GST

In-person participation is subject to prevailing travel condition and Covid-19 protocols. Therefore all contributory speakers and other participants are required to make travel arrangements with caution. The people who have already registered for in-person attendance are allowed for virtual participation.
Registration Fee (in person participation)
Category IWMS 2021 / ICLAA 2021 IWMS 2021 + ICLAA 2021
Foreign Nationals $350 $350
Indian Nationals, Research Scholars and Faculty ₹2000+GST ₹3500+GST
Indian Students having no funding support ₹1000+GST ₹2000+GST
  • No exemption in paying the registration fee for the participants seeking the certificate of participation.
Registration fee for Accompanying Person
Category IWMS 2021 / ICLAA 2021 IWMS 2021 + ICLAA 2021
Foreign Nationals $200 $200
Indian Nationals, Research Scholars and Faculty ₹1000+GST ₹2000+GST
  • Waived off for one person accompanying the senior delegate of age 65+.
  • No accompanying person is allowed with delegates in the student category. Contact the organizers in any
    exceptional cases.
Common benefits for all the in person participants:
Registration kit, transportation between airport and campus, breakfast, lunch, dinner
arranged at common place, refreshments during the break time of events.
Additional benefits for IWMS/ICLAA Invited Speakers participating in
person:
Option of exemption from paying Registration fee for the invited event, free Accommodation
(IWMS -13, 14 and 15 December nights/ ICLAA – 15, 16, 17 December nights), FIVV accommodation at subsidized rate
(Free and FIVV accommodations are limited in number).
Accommodation details (for in-person participants):
If required, will be arranged in the guest house (double accommodation with 500 INR per head)/new international hostel (appr. 600 INR per day) at the occupant’s expense.

The following are prevailing COVID protocols (as of November 23, 2021) to be followed at the MAHE Campus. At the time of the beginning of conferences, the protocol may change subject to the situation. Delegates coming from outstation are required to note the same.

  1. Complete vaccination certificate is mandatory. The same may be forwarded to carams.mahe@gmail.com to assist you at the campus.
  2. In addition to the above, delegates from outside the state may require a valid negative RT-PCR report obtained less than 72 hours before. After the conferences, we will arrange the RT-PCR test which facilitates the delegates planning for onward journey. The cost incurred towards the RT-PCR test will be reimbursed on request.
  3. Quarantine is not required for any outstation delegates.

Wish to see you at Manipal!!

Twenty-Eighth International Workshop on Matrices and Statistics

December 13 - 15, 2021

Sponsors

You may download the e-souvenir of IWMS 2021, ICLAA 2021 and ACTGMG 2021 using the link: e-Souvenir_IWMS, ICLAA, and ACTGMG.

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National Medical Commission

NMC

Visit Sponsor

Twenty-Eighth International Workshop on Matrices and Statistics

December 13 - 15, 2021

Schedule

You may download the e-souvenir of IWMS 2021, ICLAA 2021 and ACTGMG 2021 using the link: e-Souvenir_IWMS, ICLAA, and ACTGMG.

Schedule

https://drive.google.com/file/d/1CVmth7y3RC1o9_yHo0kD3NL8YJP8MKrx/view?usp=sharing

Twenty-Eighth International Workshop on Matrices and Statistics

December 13 - 15, 2021

Speakers

You may download the e-souvenir of IWMS 2021, ICLAA 2021 and ACTGMG 2021 using the link: e-Souvenir_IWMS, ICLAA, and ACTGMG.

Dr. Narayanaswamy Balakrishnan
Professor
McMaster University, Hamilton, Canada

Research Interests: Ordered data analysis, Uni-variate and multivariate distribution theory, Reliability theory, Survival analysis, Applied probability, Stochastic orderings, Non-parametric statistics,… Read more
Achievements: Professor N. Balakrishnan is a Distinguished University Professor at McMaster University, Hamilton, Ontario, Canada. He completed his PhD… Read more

Some Interesting Features of Linear Prediction
Dr. Adi Ben-Israel
Professor Emeritus
Rutgers Business School, Newark, New Jersey

Research Interests: Mathematics: Convexity and Inequalities, Matrix Theory. Optimization Theory: Nonsmooth Analysis, Symbolic Computation. Applied Mathematics: Numerical Linear Algebra, Linear… Read more
Achievements: Adi Ben-Israel received his PhD from Northwestern University, United States (1962). He has published over 5 books in… Read more

Development of Generalized Inverse
Dr. Abraham Berman
Emeritus Professor
Technion-Israel Institute of Technology, Israel

Research Interests: Matrices, Graphs and the connections between the two Read more
Achievements: Abraham Berman received his B.Sc. (1966) and M.Sc. (1968) in mathematics from the Technion. In 1970 he received… Read more

Completely Positive Matrices

Let $S$ be a set of nonnegative numbers. A matrix $A$ is completely positive over $S$ if it can be decomposed as $A=BB^T$, where the entries of $B$ are in $S$. The talk is a survey of results on completely positivity over $S$ in the cases $S=R,\;S=Q\; S=Z$ and $S=\{0,1\}$.

Dr. Arup Bose
Professor
Indian Statistical Institute, Kolkata, India

Research Interests: Economics: Information economics, Moral hazard problems and incentives. Econometrics: Large dimensional time series, Resampling in time series, Asymptotics… Read more
Achievements: Professor completed his M. Stat. (1980) and PhD (1987) from the Indian Statistical Institute. He has been an… Read more

Spectral measures of empirical autocovariance matrices of high dimensional stationary processes
We begin with a brief glimpse at the bulk distribution results for some popular random matrices. Then we consider the empirical autocovariance matrix at a given non-zero time lag based on observations from a multivariate complex Gaussian stationary time series. We study the behavior of their spectral measures in the asymptotic regime where the time series dimension and the observation window length both grow to infinity, and at the same rate.  Following a general framework in the field of the spectral analysis of large random non-Hermitian matrices, at first the probabilistic behavior of the small singular values of the shifted versions of the autocovariance matrix are  obtained. This is then used to infer about the large sample behaviour of the empirical spectral measure of the autocovariance matrices at any lag. Matrix orthogonal polynomials on the unit circle play a crucial role in our study.
Dr. Garry Ka Lok Chu
Professor
Dawson College, Montreal, Quebec, Canada

Research Interests: Magic Squares, Latin squares, Philatelic Latin squares, Magic card puzzles Read more
Achievements: Garry Ka Lok Chu has been teaching at Dawson College for more than a decade. He works as… Read more

Will be updated soon.
Dr. Susmita Datta
Professor
University of Florida, Gainesville

Research Interests: Methodological: Bioinformatics, Clustering and Classification, Genomics, Proteomics, Infectious Disease Modeling, Non-linear Regression modeling for Systems Biology, Statistical Issues… Read more
Achievements: Susmita Datta has received her PhD degree in Statistics from the University of Georgia, Athens, Georgia, USA followed… Read more

Statistical Analysis of single cell RNA sequencing (ScRNA-seq) data

Transcriptomic studies such as in bulk RNA-sequencing, one can examine transcript abundance measurements averaged over bulk populations of thousands (or even millions) of cells. While these measurements have been valuable in countless studies, they often conceal cell-specific heterogeneity in expression signals that may be paramount to new biological findings. Fortunately, with single cell RNA-sequencing (scRNA-Seq), transcriptome data from individual cells are now accessible, providing opportunities to investigate functional states of cells, identify rare cell populations and uncover diverse gene expression patterns in cell populations that seemed homogeneous. Most importantly it provides an unprecedented resolution to the characterization of cellular clinical isolates. However, there are challenges analyzing such scRNA-Seq data. Amongst many challenges the most significant are the bimodal or multimodal distribution, sparsity and tremendous heterogeneity in the data. Consequently, we will describe potential ways of statistical modeling of such data, finding differentially expressed genes and methods for constructing gene-gene interaction network using this data.

Dr. Katarzyna Filipiak
Professor
Poznan University of Technology, Poland

Research Interests: Experimental designs, Optimality of designs under univariate and multivariate linear models, Optimization of some specific functions of eigenvalues… Read more
Achievements: Dr. Katarzyna Filipiak in the department of Mathematical and Statistical Methods, Poznan University of Life Sciences. She obtained… Read more

Frobenius norm, entropy and quadratic loss functions as the measures of discrepancy from structured matrices

The problem of measuring discrepancy of a given matrix from structured one often arises in statistics. In this talk the properties of the Frobenius norm, entropy and quadratic loss functions will be compared in the context of power of the test.

Dr. Stephen J. Haslett
Professor Emeritus & Director
Massey University, Palmerston North, New Zealand

Research Interests: Mathematical Statistics, Medicine, Health Sciences, Psychology, Human Development, Political Science, History, the Humanities, Social Sciences, Zoology, Botany, Marine… Read more
Achievements: Stephen J. Haslett is a former Professor and Director of the Statistical Consulting Unit. He is a Fellow… Read more

The role of block diagonal matrices in conditions for equality of BLUEs in linear models

The general condition for the BLUEs in a linear model being unaltered by a change in error covariance structure is due to C.R Rao (1971). This condition can be written so that the entire term that can be added to the original covariance is block diagonal in form. When the original full linear model is made smaller by reducing the number of regressors, block diagonal matrices for the quadratic form based on the matrix orthogonal to the design matrix also provide insight into conditions for full, small and intermediate models having the same BLUEs for all the parameters they share. Haslett et al (2020) also consider properties of BLUEs in full versus small linear models with new observations where the supplementary quadratic form to the original covariance structure again involves block diagonal matrices, but based instead on the design matrix. Common themes will be explored using block diagonal matrices and the partitions they imply. Extension to linear mixed models and BLUPs is possible.

Dr. Andrzej Janusz
Assistant Professor & Chief Data Scientist
University of Warsaw & QED Software, Poland

Research Interests: Machine learning, Artificial intelligence, Feature selection, representation learning, rough sets Read more
Achievements: Andrzej Janusz is an active and experienced researcher in the fields of science related to data exploration, machine… Read more

Learning from Video Game Logs: the Human-in-the-Loop Approach

Active learning is a subfield of machine learning that considers interactive algorithms for training prediction models. In such a setup, the learner can iteratively query an oracle to obtain labels for a limited number of instances from a large volume of available data. This approach is particularly useful in practical applications when the label acquisition is time-consuming or expensive. During my talk, I will explain how we deal with such applications at QED Software. As an example, I will use one of our recent projects in which we are working on a model for the identification of critical turns (so-called, game-changers) in a multiplayer video game called Tactical Troops: Anthracite Shift. I will describe the main steps in the active learning cycle, and discuss the most common practical issues related to the deployment of successful active learning systems.

Dr. Somdeb Lahiri
Professor
Pandit Deendayal Energy University, Gujarat, India

Research Interests: Microeconomic Theory, Individual and Social (Group) Choice (Decision Making) Theory, Game Theory Read more
Achievements: Professor Lahiri is currently a Professor of Economics at the School of Petroleum Management, PD Energy University. His… Read more

Game Theory for Decision Making under Ambiguity

In this paper, we introduce the class of quadratically optimal (bimatrix) games, which are bi-matrix games whose set of equilibrium points contain all pairs of probability vectors which maximize the expected pay-off of some pay-off matrix. We call the equilibrium points obtained in this way, quadratically optimal equilibrium points. We prove the existence of quadratically optimal equilibrium points of identical bi-matrix games, i.e. bi-matrix games for which the two pay-off matrices are equal, from which it easily follows that weakly potential bi-matrix games (a generalization of potential bi-matrix games) are quadratically optimal. We also show that those weakly potential square bi-matrix games which have potential matrices that are two-way matrices are quadratically and symmetrically solvable games, i.e., there exists a square pay-off matrix whose expected pay-off maximizing probability vectors subject to the two probability vectors (row probability vector and column probability vector) being equal, are equilibrium points of the bi-matrix game. None of our results require using a fixed point theorem argument in the proofs. We show by means of an example of a 2×2 identical symmetric potential bi-matrix game that for every potential matrix of the game, the set of pairs of probability distributions that maximizes the expected pay-off of the potential matrix is a strict subset of the set of equilibrium points of the potential game.

Dr. Augustyn Markiewicz
Professor
Poznań University of Life Sciences, Poland

Research Interests: Matrices, Matrix Theory, Algebra, Linear Algebra, Statistics, Applied Mathematics, Maximum Likelihood, Linear Regression, Pure Mathematics, Regression Modeling, Linear… Read more
Achievements: Augustyn Markiewicz completed his MS in Mathematics in 1980 at Adam Mickiewicz University, Poznań and received Ph.D in… Read more

Covariance Matrix Estimation based on Matrix Projection

The need for estimation of covariance matrix with a given structure arises in various multivariate models. We are studying this problem for linear structures. The commonly used maximum likelihood estimation method is in general complex and time consuming when restricted to structured and positively definite matrices; cf. [K. Filipiak, M. John, A. Markiewicz, 2020]. Therefore we consider some alternatives to the maximum likelihood estimation based on approximation of the unstructured sample covariance matrix by structured, positive definite matrices. The approximation via Frobenius as well entropy loss functions turn out to be numerically ineffective; cf. [K. Filipiak, A. Markiewicz, A. Mieldzioc, A. Sawikowska, 2018] and [M. Janiszewska, A. Markiewicz, M. Mokrzycka, 2020]. Instead, we propose a much more numerically efficient method of projecting the unstructured sample covariance matrix on a given linear structure (cf. [M. Ohlson, D. von Rosen, 2010]) and then, if necessary, restoring its definiteness by a specific shrinkage method. The statistical properties of these estimators and maximum likelihood estimators are compared via simulation study.

Dr. Samir K. Neogy
Professor & Head
Indian Statistical Institute, Delhi, India

Research Interests: Applied Statistics, Linear Programming, Nonlinear Programming, Non-cooperative games, Stochastic games, Statistical Quality Control, Six Sigma, Quality Management. Read more
Achievements: Based on his research and teaching interests, in applied statistics and matrix methods, he has published several research… Read more

Statistics and Big data: A Research Paradigm Shift

More and more data are being produced today  by an increasing number of electronic devices physically surrounding us and on the internet. The large amount of data and the high frequency at which they are produced have resulted in the introduction of the term ‘Big Data’. Today, in  sectors like social development, healthcare, education, energy, governance etc have more data than they can handle, and recognize the potential for value, but the promise of big data still has not been realized, according to the leading academic and business media sources. Big data has caused the scientific community to re-examine its methodology of scientific research. Big data technologies and the corresponding fundamental research have become a research focus in academia.  An emerging interdisciplinary discipline called data science has been gradually coming into place. This takes big data as its research object and aims at generalizing the extraction of knowledge from data. In fact  we also need new approaches in statistics and computer science to analyze Big Data.

Dr. Simo Puntanen
Visiting Professor
Tampere University, Finland

Research Interests: Matrix methods in statistics, Generalized inverses, Canonical correlations Read more
Achievements: He was a Senior Researcher of the Academy of Finland in 1992--1995. His main research interest lies on… Read more

A review of the linear sufficiency

We consider the general linear model $y = X \beta + \varepsilon$ supplemented with the new unobservable random vector $ y_{*}$,coming from $ y_{*} = X_{*}\beta + \varepsilon_{*}$, where the covariance matrix of $y_{*}$ is known as well as the cross-covariance matrix between $y_{*}$ and $y$. A linear statistic $F y$ is called linearly sufficient for $X_{*} \beta$ if there exists a matrix $A$ such that $A F y$ is the best linear unbiased estimator, BLUE, for $X_{*} \beta$. The concept of linear sufficiency with respect to a predictable random vector is defined in the corresponding way but considering the best linear unbiased predictor, BLUP, instead of BLUE. In this paper, we consider the linear sufficiency of $F y$ with respect to $ y_{*}$, $X_{*} \beta$, and $\varepsilon_{*}$.

Dr. Arni S.R. Srinivasa Rao
Professor
Medical College of Georgia, Augusta University, USA

Research Interests: Developing mathematical and probabilistic methods and models, for example, harmonic analysis, ODE/PDE, Stochastic Processes etc. Methodologies in Machine… Read more
Achievements: Dr. Rao is a Professor, Director at the Laboratory for Theory and Mathematical Modeling, Medical College of Georgia,… Read more

Exact Deep Learning Machines, Artificial Intelligence, and Deep Learning Methods

Through this talk, a new method introduced by the author, called, exact deep learning machines (EDLM) will be introduced. Such methods will be compared with traditional artificial intelligence (AI) techniques. How the EDLMs provide better alternatives for AI-related experiments will be discussed. The difference of approaches of deep learning versus AI through two theoretical examples will be provided.

Dr. Dietrich von Rosen
Visiting Professor
Swedish University of Agricultural Sciences, Sweden

Research Interests: Multivariate Analysis, Probability and Statistics, Regression Analysis, Mathematical Statistics and its applications Read more
Achievements: He received a PhD from Stockholm University (1986). He was adviser for 18 undergraduate (master) theses in Mathematical… Read more

On decompositions of linear spaces connected to linear and bilinear models

Some techniques to decompose linear and bilinear spaces are presented. The techniques are applied to the treatment of the Gauss-Markov model, linear equations, bilinear models, partial least squares (PLS) and reduced rank regression models. In particular for some of the models residuals will be considered.

Dr. Anish Sarkar
Associate Professor
Indian Statistical Institute, Delhi Centre, India

Research Interests: Percolation Theory & Random Graphs, Extreme Value Theory Read more
Achievements: Anish Sarkar is an Associate Professor in Stat-Math Unit, at Indian Statistical Institute, Delhi Centre. He obtained his… Read more

Hack’s Law in a Drainage Network Model: A Brownian Web Approach

Hack (1957) while studying the drainage system in the Shenandoah valley and the adjacent mountains of Virginia, observed a power law relation $l \sim a^{0.6}$ between the length $l$ of a stream from its source to a divide and the area $a$ of the basin that collects the precipitation contributing to the stream as tributaries. We study the tributary structure of Howard’s drainage network model of headward growth and branching studied earlier by Gangopadhyay, Roy and Sarkar (2004). We show that the exponent of Hack’s law is $2/3$ for Howard’s model. Our study is based on a scaling of the process whereby the limit of the watershed area of a stream is area of a Brownian excursion process. To obtain this, we define a dual of the model and show that under diffusive scaling, both the original network and its dual converge jointly to the standard Brownian web and its dual.

Dr. Santosh Singh
Associate Professor
Shiv Nadar University, Uttar Pradesh

Research Interests: Medical image analysis, Image reconstruction, Filter bank theory, Computational photography, Light field and Optimization techniques Read more
Achievements: He completed his PhD in IIT, Kanpur (2001). He has been a Member Technical Staff at Siemens Research… Read more

Dr. Martin Singull
Professor
Linköping University, Linköping, Sweden

Research Interests: Multivariate Statistics, Growth Curve model with a linearly structured covariance matrix, Kronecker structured covariance matrix Read more
Achievements: Martin Singull is a Professor, Head of Division of Mathematical Statistics at the Department of Mathematics, Linkoping University.… Read more

Residual Analysis for the GMANOVA-MANOVA Model

In both univariate and multivariate analysis, residuals are used for model diagnostics. In this presentation we consider the MANOVA and the GMANOVA-MANOVA models and different matrix residuals are established. The interpretation of the residuals is discussed and several properties are verified. A realistic, similar to some real studies, but artificial data will be analysed to illustrate how the residuals can be used in model validations.

Dr. George P. H. Styan
Emeritus Professor
McGill University, Canada

Research Interests: Matrices and statistics, with particular emphasis on canonical correlations, canonical efficiHadamard products, Matrix inequalities, Matrix partial orderings, Matrix… Read more
Achievements: George P. H. Styan has a long and honourable career in Mathematics. He has served on the Editorial… Read more

A further introduction to Philatelic Lattice Grids (PLGs) with four-sided stamps (First International Mini-Symposium on Mathematical Philately)

Twenty-Eighth International Workshop on Matrices and Statistics

December 13 - 15, 2021

Participants

You may download the e-souvenir of IWMS 2021, ICLAA 2021 and ACTGMG 2021 using the link: e-Souvenir_IWMS, ICLAA, and ACTGMG.

Participants

1. Ms. Preeti . Indian Institute of technology, Roorkee, India
2. Mr. RASHID A. National Institute 9f Technology Karnataka, India
3. Ms. Shahnaz Abdul Hameed University of Delhi, India
4. Dr. Kazeem Adeleke Obafemi Awolowo University, Nigeria
5. Prof. Stanislav Anatolyev CERGE-EI, Czech Republic
Talk on: Testing many restrictions under heteroskedasticity.
6. Ms. AMULYA AWASTHI Banasthali Vidyapith, India
7. Ms. Pallavi B Indian Institute of Science Education and Research, Thiruvananthapuram, India
8. Ms. Pooja B. S. Manipal Academy of Higher Education, Manipal, India
Talk on: Multilevel Analysis of Self reported Asthma prevalence and its risk factors in India using NFHS-4
9. Dr. Bayowa Babalola Kampala International University,Uganda, India
10. Prof. Narayanaswamy Balakrishnan McMaster University, Canada
11. Dr. ANAND BARANGI Indian Institute of Information Technology Dharwad, India
12. Ms. KESANG BASI SIKKKIM MANIPAL INSTITUTE OF TECHNOLOGY, India
13. Ms. Kunzang Chuni Basi Government College Rhenock, India
14. Ms. Anjali Beniwal Indian institute of technology Kharagpur, India
15. Mr. BISHAL BHANDARI Sikkim Manipal Institute of Technology, India
16. Dr. Alok Bhargava Manipal University Jaipur, India
17. Dr. K Nayan Bhat St. Joseph's College(Autonomous), Bangalore, India
Talk on: Rank one summand and Star order
18. Mr. Shrikrishna Bhat K Pondicherry University, India
19. Mr. John Bibby aa42.com/University of York, United Kingdom
20. Dr. Niranjan Bora Dibrugarh University Institute of Engineering and Technology, Dibrugarh University, India
21. Dr. Arup Bose Indian Statistical Institute, Kolkata, India
22. Mr. robert castellanos cun, Colombia
23. Mr. ANKUR CHAKRABORTY Indian Institute of Technology (Indian School of Mines) Dhanbad, India
24. Ms. Preyanka Chandramohan Nadar saraswathi college of arts and science, Theni., India
25. Ms. Sruti Chopparapu Christ(Deemed to be university), Bangalore, India
26. Prof. Shovan Chowdhury Indian Institute of Management Kozhikode, India
Talk on: Vector Majoization based Stochastic Comparison of Order Statistics for Gompertz–Makeham Random Varibales
27. Mr. Prasant Dahal Nar Bahadur Bhandari Government College Tadong, India
28. Mr. Puran Dangal Sikkim Manipal Institute of Technology, India
29. Mr. Kousik Das National Institute of Technology Raipur, India
30. Dr. Susmita Datta College of Public Health and Health Professions & College of Medicine, United States
Talk on: Statistical Analysis of single cell RNA sequencing (ScRNA-seq) data
31. Mr. Ganesh Dharmadhikari IISER THIRUVANANTHAPURAM, India
32. Mr. Aravind Dharmaraj cmc, India
33. Mr. Sibasish Dhibar IIT Roorkee, India
34. Dr. N. Eagambaram Government of India, India
35. Dr. Sandra Maria Bargão Ferreira Universidade da Beira Interior, Portugal
Talk on: Prediction intervals in Bi-additive Models
36. Dr. Katarzyna Filipiak Poznań University of Life Sciences, Poland
Talk on: Frobenius norm, entropy and quadratic loss functions as the measures of discrepancy from structured matrices
37. Dr. Krishna Kumar G BJM Government College Chavara (Affiliated to Kerala University), India
Talk on: Pseudoeigenvectors of bounded linear operators
38. Mr. Sandeep Garg Mahatma Gandhi Medical College and Hospital, India
39. Mr. Anjan Gautam Sikkim Manipal Institute of Technology, Majhitar, India
40. Ms. Jessica George MAHE, India
41. Mr. Subrata Ghanty Santal Pargana College, Dumka, India
42. Dr. Mahendra Kumar Gupta National Institute of Technology Jamshedpur, India
Talk on: Impulse controllablisability in rectangular descriptor systems
43. Mr. Shrinath Hadimani Indian Institute of Science Education and Research Thiruvananthapuram (IISER TVM), India
44. Prof. Stephen Haslett Massey University, New Zealand
Talk on: The role of block diagonal matrices in conditions for equality of BLUEs in linear models
45. Mr. karpagam institute Anna University, India
46. Dr. Aisha Jabeen Jamia Millia Islamia, India
47. Dr. Andrzej Janusz University of Warsaw, Poland, Poland
Talk on: Learning from Video Game Logs: the Human-in-the-Loop Approach
48. Dr. Nitin John Manipal University Jaipur, India
49. Mr. Neeraj Joshi University of Delhi, India
50. Dr. Sumathi K Manipal Institute of Technology, India
51. Dr. Kamaraj K University College of Engineering Arni, Anna Univeristy, India
52. Mr. AWOPEJU KABIRU ABIDEMI NNAMDI AZIKIWE UNIVERSITY, AWKA, ANAMBRA STATE, Nigeria
53. Ms. Akshata Kale Manipal Academy of Higher Education, India
54. Mr. Debamalya Kar Maharani Kasiswari College, India
55. Dr. Kannadasan Karuppaiah Dr.M.G.R. Tamilnadu Medical University, India
56. Ms. Yukta Kataria PSPH, MAHE, India
57. Dr. Neeraj Kaushik National Institute of Technology Kurukshetra, India
58. Mr. Umashankara Kelathaya Manipal Academy of Higher Education, Manipal, India
59. Ms. Harsha Narasinha Kelkar Hope Foundation's Finolex Academy of Management and Technology, Ratnagiri, India
60. Ms. Habiba Khatun National Institute of Technology Rourkela, India
61. Ms. Kalpanarani Kumar VIT University, India
62. Mr. ANSHUL KUMAR Indian Institute of Technology Roorkee, India
63. Mr. Pushkal Kumar National Institute of Technology Rourkela, India
64. Mr. Ananth Kumar MAHE manipal, India
65. Ms. Pooja Kumari Central University of Gujarat, India
66. Mr. Shiva Kumar Kurva Pondicherry University, India
67. Dr. Somdeb Lahiri PDE University, India
Talk on: Game Theory for Decision Making under Ambiguity
68. Mr. C. Lalngaihawma Govt. Kolasib College, Mizoram, India
69. Dr. Chedly Gélin LOUZAYADIO Université Marien NGOUABI, Congo
70. Mr. GNANASEKAR M Rathinam college of Arts and Science, India
71. Dr. Rajesh Kannan M. IIT Kharagpur, India
72. Mr. Iswar Mahato Indian Institute of Technology Kharagpur, India
73. Mr. SUMAN MAITI National Institute of Technology Rourkela, India
74. Mr. Saikat Maity University of Calcutta, India
75. Mr. Aijaz Ahmad Malla University of Kashmir, Srinagar, India
76. Mr. Debjit Mandal Utkal University, Bhubaneswar, India
77. Mr. SANTANU MANDAL National Institute of Technology Rourkela, India
78. Dr. Pankaj Manjhi Vinoba Bhave University Hazaribag, India
Talk on: A Look on Hadamard Matrices
79. Dr. Augustyn Markiewicz Poznań University of Life Sciences, Poland, Poland
Talk on: Covariance matrix estimation based on matrix projection
80. Dr. Mika Mattila Tampere University, Finland
81. Mr. Ravi Meel IISER Bhopal, India
82. Mr. Sunil Meena Higher education department Rajasthan, India
83. Ms. Vidhya Meenakshi V Bharathidasan university, Trichy, India
84. Dr. Ruchika Mehta Manipal University Jaipur, India
85. Ms. PARVATHY G MENON Sahrdaya College Of Advanced Studies, Kodakara, Thrissur, India
86. Dr. David Raj Micheal Sikkim Manipal Institute of Technology, India
87. Mr. Hemant Mishra Indian Statistical Institute, India
88. Mr. Vasant Kumar Mishra Banaras Hindu University, India
89. Ms. Suryanshi Mishra SHUATS, PRAYAGRAJ, India
90. Ms. Archana Muruganantham E.G.S pillay Engineering College, India
91. Ms. Sangeeta Nahar Krypt India, India
92. Ms. Sanjana Nair PSPH, MAHE, India
93. Dr. Naveen Naidu Narisetty University of Illinois at Urbana-Champaign, India
94. Mr. DHANASEKARAN NATARAJAN The Central Law College, Salem, Tamilnadu, India
95. Ms. Nisha Nayak Manipal Academy of Higher Education, India
96. Prof. Samir Kumar Neogy Indian Statistical Institute, India
Talk on: Statistics and Big data: A Research Paradigm Shift
97. Dr. WINNIE ONSONGO UNIVERSITY OF GHANA, Ghana
98. Mr. Hariom Pachori Central Institute of Psychiatry, Ranchi, India
99. Mr. Sarvesh Pandey Banaras Hindu University, India
100. Ms. Karuna Panwar Indian Institute of Technology, Roorkee, India
101. Mr. C PERIYASAMY Presidency College. Chennai -600 005, India
102. Ms. Raksha Poojary Manipal Academy of Higher Education, India
103. Ms. BARSHA PRADHAN Sikkim Manipal Institute Technology, India
104. Ms. Punam Kumari Prasad Sikkim Manipal Institute of Technology, Majitar, India
105. Dr. Simo Puntanen Tampere University, Finland
Talk on: A review of the linear sufficiency
106. Mr. Harshith R A Manipal Academy of Higher Education, India
107. Dr. Una Radojičić Venna University of Technology, Austria
Talk on: Kurtosis-based projection pursuit for matrix-valued data
108. Ms. Shivani Rai Sikkim Manipal Institute of Technology, India
109. Ms. CHEPURI RAJITHA Kakatiya university,warangal, India
110. Ms. Srinidhi Ramachandran PSPH,MAHE, India
111. Mr. Anirudh Ramesh Manipal Academy of Higher Education, India
112. Prof. BLS Prakasa Rao University of Hyderabad, India
113. Prof. Arni S. R. Rao Medical College of Georgia, United States
Talk on: Exact Deep Learning Machines, Artificial Intelligence, and Deep Learning Methods
114. Ms. Jita Rastogi -, India
115. Mr. Bilal Rather University of kashmir srinagar , India
116. Dr. Anitha Ravikumar Higher College of Technology,Muscat, India
117. Mr. KONDAM RAVINDER REDDY KAKATIYA UNIVERSITY, India
118. Mr. Siddharth Rawat Indian Institute of Management Bangalore, India
119. Dr. Dhananjaya Reddy Government Degree college, Puttur, India
120. Dr. Dietrich von Rosen Swedish University of Agricultural Sciences, University in Uppsala, Sweden, Sweden
Talk on: On decompositions of linear spaces connected to linear and bilinear models
121. Mr. NIRMAL CHANDRA ROUT NATIONAL INSTITUTE OF TECHNOLOGY RAIPUR, India
122. Mr. Aritra Roy Banaras Hindu University, India
123. Mr. Aalekh Roy Institute of Mathematics and Applications Bhubaneswar, India
124. Ms. Medha S Manipal Academy of Higher Education, India
125. Mr. Sachin Sachdeva University of Hyderabad, India
126. Ms. Tapatee Sahoo Manipal Academy of Higher Education, India
127. Mr. Deepak Saini CCS UNIVERSITY MEERUT, India
128. Mr. Aniruddha Samanta Indian Institute of Technology Kharagpur, India
129. Ms. Resa Mae Sangco Surigao del Sur State University, India
130. Mr. Niraj Sapkota Sikkim Manipal Institute of Technology, Majhitar, India
131. Mr. Mojammel Haque Sarkar National Institute of Technology, Rourkela, India
132. Prof. Anish Sarkar Indian Statistical Institute, Delhi Centre, India
Talk on: Hack’s Law in a Drainage Network Model: A Brownian Web Approach
133. Dr. PREETI SENGAR SGSITS INDORE, India
134. Dr. Ramjan Shaik Al-Ameen College of PPharmacy, India
135. Ms. Nitu Sharma Indian Institute of Technology Delhi, India
136. Ms. Nidhi Sharma IIT Roorkee, India
137. Ms. SONALI SHARMA Malaviya National Institute of Technology , Jaipur, India
138. Ms. Shreenavya PSPH, MAHE, India
139. Dr. Adilson Silva University of Cape Verde, Cape Verde
140. Ms. PRIYANKA SINGH Chhattisgarh Swami Vivekanand Technical University Bhilai, India
141. Mr. RAVI PRATAP SINGH BANARAS HINDU UNIVERSITY, India
142. Dr. Santosh Singh School of Natural Sciences, Shiv Nadar University, Uttar Pradesh, India
143. Mr. Chingangbam Suraj Singh Manipur University, India
144. Dr. Martin Singull Linköping University, Sweden, Sweden
Talk on: Residual Analysis for the GMANOVA-MANOVA Model
145. Prof. Bikas Kumar Sinha Indian Statistical Institute, Kolkata, India
146. Dr. KALYAN SINHA ABN SEAL COLLEGE, COOCH BEHAR PANCHANAN BARMA UNIVERSITY, India
147. Ms. Purnima Sonker Punjabi University Patiala, India
148. Ms. Apoorva Sood Manipal Academy of Higher Education, India
149. Ms. Prajnya Srinivas Manipal Academy of Higher Education, India
150. Prof. George P H Styan Department of Mathematics, McGill University, Canada, Canada
151. Ms. Sumathi Subbarayan VIT Chennai, India
152. Dr. Lavanya Suriyamoorthy Sri Ramachandra Institute for Higher Education and Research, India
153. Prof. Parthasarathy T Chennai Mathematical Institute, India
154. Ms. Jyoti Tak Tantia university Ganganagar, India
155. Mr. Lorenzo Tedesco KU LUEVEN, Belgium
156. Mr. VENKATESWARARAO TEEGA IIT HYDERABAD, India
157. Ms. MANJU BHASHINI Thiyagarajan Vivekananda college of technology for women, India
158. Ms. Savitha V Manipal Academy of Higher Education, India
159. Dr. Krishnan Varadharajan Jamal Mohamed College, India
160. Mr. Piyush Verma Indian Institute of technology, Bhubaneswar, India
161. Ms. Priya Verma C.S.J.M.University, Kanpur, India
162. Mr. Prateek Vishwakarma Indian Institute of Science, Bangalore, India
163. Dr. Xikui Wang University of Manitoba, Canada
164. Mr. Hitesh Wankhede IISER Pune, India
165. Dr. Santhi Sheela Y NITK, Surathkal, India

Twenty-Eighth International Workshop on Matrices and Statistics

December 13 - 15, 2021

Contact

You may download the e-souvenir of IWMS 2021, ICLAA 2021 and ACTGMG 2021 using the link: e-Souvenir_IWMS, ICLAA, and ACTGMG.

Contact us at

carams.mahe@gmail.com

Dr. K. Manjunatha Prasad

Coordinator, CARAMS

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