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Applied Linear Algebra, Probability and Statistics
(ALAPS 2023)

September 24 - 25, 2023

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

Download Brochure


About the Symposium

Padma Vibhushan Professor Calyampudi Radhakrishna Rao is one among the great Indian statisticians who received 2023 International Prize in Statistics, which is equivalent to Nobel prize in Statistics. CRR, a living legend received this prize for his groundbreaking work entitled ‘Information and the Accuracy Attainable in the Estimation of Statistical Parameters’ published in Bulletin of Calcutta Mathematical Society in 1945. C R Rao, born on September 10, 1920 at Hoovina Hadagali, Karnataka lived a long fruitful life of 102+ years till August 22, 2023.

Center for Advanced Research in Applied Mathematics and Statistics (CARAMS, MAHE) has been organizing events and special sessions in honor of him since 2020, the year it celebrated ‘CRR Day’ marking Rao’s 100th birthday. In the same year, CARAMS organized an international conference ALAPS 2020 (online format) in honor of Rao, where Prof. C R Rao arrived on the screen with the help of his daughter, accepted felicitation, and conveyed his best wishes to his disciples, collaborators, and admirers among the participants. In the following year, CARAMS organized an international conference ICLAA 2021 and an international workshop IWMS 2021 (hybrid format), with common sessions in honor of Prof. Rao. The proceeding of ICLAA 2021 and IWMS 2021 is now being published in honor of Prof. Rao by Springer Nature in its Indian Statistical Institute Series.

CARAMS, MAHE will be organizing a two-days symposium in hybrid format during September 24-25, 2023 to pay him the tribute. On the same occasion, a book-volume in honor of C R Rao (and A K Lal) and a special issue of AKCE Int. J. Graphs Comb. dedicated to ICLAA 2021 will be released.

The objective of the symposium is to connect young scholars and students with Rao’s area of work and his achievements. Besides having seminars and technical sessions from eminent scientists in the field and various student activities refreshing the memories of Rao, scholars and students are also encouraged to present their research work with the theme connected to Rao’s work and achievements.

The theme of symposium shall focus on, but not limited to

  • Theoretical and applied Linear Algebra
  • Probability and Statistical Inference
  • Applied Statistics (applications in the area of engineering, bioinformatics, medicine, digital signal processing, economics etc.)
  • and the articles in the above focus area may be submitted for the presentation in the contributory session. Research papers presented in the contributory session will get an opportunity of possible publication in a forthcoming special issue dedicated to ICLAA 2023 in the following journals, subject to acceptance after the standard peer review process adopted by the journals.

    1. Indian Journal of Pure and Applied Mathematics
    2. AKCE International Journal of Graphs and Combinatorics, Taylor & Francis
    3. Palestine Journal of Mathematics, Palestine Polytechnic University

    Book Release: The book ‘Applied Linear Algebra, Probability, and Statistics – a book-volume in honor of Prof. Rao and Arbind K Lal’ (Eds: R B Bapat, M P Karantha, S Kirkland, S K Neogy, S Pati, and S Puntanen) will be released on this occasion.

    Tribute to Prof. Rao: A session following the book release will be dedicated to pay the tribute to Prof. Rao.

    The organizing committee invites all students and the scholars working in the theme area to participate in the symposium.

    Applied Linear Algebra, Probability and Statistics

    September 24 - 25, 2023

    Commitee

    Varun Kumar S G (Organising Secretary)
    Assistant Professor (Selection Grade)
    Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal
    Bhagyajyothi Rao (Co-organising Secretary)
    Assistant Professor
    Manipal Academy of Higher Education, Manipal
    Manjunatha Prasad Karantha (Convenor)
    Professor & Coordinator, CARAMS
    Manipal Academy of Higher Education, Manipal, India

    Applied Linear Algebra, Probability and Statistics

    September 24 - 25, 2023

    Publication

    Publication Opportunity

    Research papers presented in the contributory session of the symposium will get an opportunity of possible publication in a forthcoming special issue dedicated to ICLAA 2023 in the following journals, subject to acceptance after the standard peer review process adopted by the journals.

    1. Indian Journal of Pure and Applied Mathematics
    2. AKCE International Journal of Graphs and Combinatorics, Taylor & Francis
    3. Palestine Journal of Mathematics, Palestine Polytechnic University

    Applied Linear Algebra, Probability and Statistics

    September 24 - 25, 2023

    Registration

    Important Dates
      • Last date for registration: August 31, 2023
      • Last date for Abstract Submission: August 31, 2023
    Registration Fee
    Category Registration Fee
    Foreign Nationals 50 USD
    Indian Research Scholars and Faculty/Students presenting paper in contributory session 1000 INR + GST
    Indian UG/PG Students 500 INR + GST

    There is no GST for the Faculty/Research Scholars/UG/PG Students of MAHE.

    Note: Participants taking part in the student activities are exempted from the registration fee payment.

    Applied Linear Algebra, Probability and Statistics

    September 24 - 25, 2023

    Speakers

    Dr. R. B. Bapat
    Professor
    Indian Statistical Institute, Delhi Centre, India

    Research Interests: Matrices and Graphs, Nonnegative Matrices, Matrix Inequalities and Generalized Inverses Read more
    Achievements: He has published more than 140 research papers in these areas in reputed national and international journals and… Read more

    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

    On Special Matrix Classes in Linear Complementarity Theory and their Applications in Lemke's Algorithm
    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

    Remarks on Professor C. R. Rao's life and work leading to the 2023 International Prize in Statistics

    The International Prize in Statistics is awarded every two years by a collaboration among five leading international statistics organizations. The Prize is being considered as the statistics’ equivalent of the Nobel Prize. Professor C.R. Rao received the Prize this July at the International Statistical Institute World Statistics Congress in Ottawa, Canada. The goal of this talk is to give a brief look at the life and work of Professor Rao leading to this Prize. Moreover, some personal glimpses are given.

    Dr. B. L. S. Prakasa Rao
    INSA Senior Scientist
    C.R. Rao Advanced Institute of Mathematics, Hydrabad

    Research Interests: Mathematical Statistics Read more
    Achievements: BLS Prakasa Rao received MStat (1962) from Indian Statistical Institute, Kolkata and PhD (1966) from Michigan State University.… Read more

    Big Data - Fundamentals

    Over the last several years, a large number of corporations are adapting a data-driven approach to have targeted services, reduced risks and improved performance. They are implementing specialized data analytic programs to collect, store, manage and analyze large data sets or what is now called BIG DATA. Analyzing large size of economic and financial data is challenging. BIG DATA has unique features that are not shared by the traditional data sets. BIG DATA sets are characterized by massive sample size and high dimensionality. Massive sample size allows one to unravel hidden patterns associated with small sub populations. Modeling the intrinsic heterogeneity of BIG DATA requires better statistical methods. There are several phenomena associated with high dimensionality such as noise accumulation, spurious correlation and incidental endogeneity. Traditional statistical methods are inappropriate to tackle such problems. There are also many types of events we can think of when there are a potentially large number of measurables or parameters/covariates quantifying the event but a relatively few instances of that event. Example: few patients with a given genetic disease but a large number of genes which might cause this event. In statistical terms, the number of parameters p is large as compared to the number of observations n. This type of data is termed as HIGH-DIMENSIONAL DATA. The basic methodology which was used in classical statistical methods is not applicable for analyzing such data. The basic question is when do we call a data as a BIG DATA? How do we quantify the size of the data? However Big Data is not the solution for all data analytic issues. There are privacy problems as well as ethical issues. There are also problems of selection bias when the Big Data is used, for instance, for Official Statistics by policy makers. We discuss some of these and related issues.

    Applied Linear Algebra, Probability and Statistics

    September 24 - 25, 2023

    Participants

    List of Participants

    1. Mr. Nehal Manipal Academy of Higher Education, India
    2. Ms. Manisha - Mangalore University, Konaje, India
    3. Mr. Vighnesh . Mangalore university, India
    4. Mr. Vighnesh . Mangalore University, India
    5. Ms. Deeksha . Prasanna School of Public Health, MAHE, India
    6. Ms. Harshitha A Manipal Institute of Technology, India
    Talk on: Bounds for Energy of a Graph and its Complement with Self-Loops
    7. Ms. Medhalakshmi Acharya Presidency University, Kolkata, India
    8. Ms. Sushma Acharya Mangalore university, Mangalagangothri, India
    9. Ms. Rakshitha Acharya Prasanna School of Public Health, Manipal, India
    10. Ms. Rakshitha R Adiga Poornaprajna College, Udupi, India
    11. Ms. Muskan Aggarwal MAHE, India
    12. Mr. Kartik Agrawal MCOPS and IIT Madras, India
    13. Ms. Pallavi B Indian Institute of Science Education and Research, Thiruvananthapuram, India
    Talk on: The Hoffman-Wielandt (type) inequality for quaternion matrices and quaternion matrix polynomials
    14. Ms. Chaithra B J MIT, Manipal, India
    15. Ms. Aparna Bhabhi Prasanna school of public health,Manipal, India
    16. Dr. K Arathi Bhat Manipal Institute of Technology,MAHE, India
    17. Ms. Sinchana Bhat Dr N S A M First Grade College Nitte, India
    18. Mr. K Shrinivas Bhat Manipal academy of higher education, India
    19. Mr. Cyril Biji MAHE, India
    20. Dr. P Chella Pandian Srimad Andavan Arts and Science College(A), Tiruchirappalli, Tamilnadu, India
    21. Mr. Sharon CT Dr. NSAM First Grade College, Nitte, India
    22. Ms. Jane Cutinha MIT, Manipal, India
    23. Ms. Deeksha D Pal Mangalore University, Mangalagangotri, India
    24. Ms. Prajna Devadiga Mangalore University, India
    25. Dr. Sudhakara G Poornaprajna Postgraduate Centre, Udupi, India
    26. Dr. Argha Ghosh Manipal Institute of Technology, Manipal, India
    Talk on: Ideal convergence of sequences of metric-valued random variables
    27. Ms. Krishnasri Gollakota University of Mumbai, India
    28. Mr. Shrinath Hadimani Indian Institute of Science Education and Research, Trivandrum, India
    Talk on: Bounds on the eigenvalues of special type of matrix rational functions
    29. Ms. Kamalakshi K Mangalore University, India
    Talk on: Numerable Bundles and Bundles of Finite Type
    30. Ms. Madhumitha K V Manipal Institute of Technology, Manipal, India
    Talk on: Minimum covering maximum reverse degree energy of graphs
    31. Ms. K. Varsha Mangalore University, India
    32. Dr. Debajit Kalita Tezpur University., India
    Talk on: First eigenvectors of nonsingular weighted directed graphs
    33. Ms. Bhavya Kallapu NMAM Institute of Technology, Nitte, India
    34. Mr. Shreevathsa Kalyan Prasanna School Of Public Health, MAHE, India
    35. Dr. Manjunatha Prasad Karantha MAHE, Manipal, India
    36. Ms. Anvitha Karrekkgari PSPH,MAHE, India
    37. Dr. Babushri Srinivas Kedukodi Manipal Institute of Technology Manipal, India
    38. Mr. Umashankara Kelathaya Manipal Academy of Higher Education, Manipal, India
    Talk on: Computing s-g inverse - A few Methods
    39. Mr. Salman Khan Manipal university, India
    40. Mr. Shubham Khansili The University of Sheffield, United Kingdom
    41. Ms. Jeevitha KM Manipal Academy of Higher Education, Manipal, India
    42. Mr. Amit Kumar yadav Indian institute of science education and research Bhopal, India
    43. Mr. Ebin Leenus Manipal University, India
    44. Dr. Ashok Kumar M Indian Institute of Technology Palakkad, India
    45. Mr. Kameshwaran M PSPH, MAHE, India
    46. Mr. Vinay Madhusudanan Manipal Institute of Technology, Manipal, India
    47. Mr. Ajay Mathew Manipal Academy of Higher Education, India
    48. Dr. David Raj Micheal Vellore Institute of Technology, Chennai, India
    49. Mr. Chaithanya N Bhat POORNAPRAJNA COLLEGE UDUPI, India
    50. Ms. Thilaka N Sherigar Prasanna School of Public Health, MAHE, India
    51. Mr. Chirag Ostwal Prasanna school of public health, India
    52. Ms. Nikshitha P Dr N S A M First Grade College Nitte, India
    53. Mr. PRAVEEN PANDEY MSDSU, AZAMGARH, UTTAR PRADESH, India
    54. Dr. Archana Paradkar Maitreyi College DU, India
    55. Ms. Raksha Poojary Manipal Academy of Higher Education, India
    56. Ms. Sinchana Poojary Manipal Academy of Higher education, India
    57. Ms. Vaibhavi Prabhu Dr N S A M First Grade College Nitte, India
    58. Mr. Krishna Prasad Mangalore university, India
    59. Ms. Sandra Prince Manipal Academy of Higher Education, India
    60. Mr. Herschelle Rebello St Aloysius College (Autonomous), Mangaluru, India
    61. Ms. Ruth Roche St Aloysius Collège (Autonomies), India
    62. Dr. Aishwarya S Manipal Institute of Technology, India
    63. Mr. Nishanth S Manipal Academy of Higher Education, India
    64. Ms. Bhakti Sabnis PSPS,MAHE,MANIPAL, India
    65. Mr. Srikrishna Sajjarao Prasanna School of Public Health, India
    66. Mr. Naseef Saleem Manipal Academy of Higher Education, India
    67. Mr. Karthik Salian Dr. NSAM First Grade College, Nitte, India
    68. Mr. Prasad Sanil Mangalore University, Mangalore, India
    69. Ms. Tess Sebi Manipal academy of higher education, India
    70. Mr. Milan Seemon Manipal Academy of Higher Education - Wikipedia Manipal Academy of Higher Education, India
    71. Ms. Anusua Sen Manipal Academy of Higher Education, Manipal, India
    72. Ms. Shalini Shankar No affiliation, India
    73. Ms. Megha Sharma Manipal Academy of Higher Education, MAHE, India
    74. Ms. Akshatha Shenoy Mangalore University, India
    Talk on: Minimum Dominating Spectra of graphs
    75. Mr. Subrahmanya Shenoy Poornaprajna college, Udupi, India
    76. Mr. Shashwath Shetty Manipal Institute of technology, MAHE, Manipal., India
    Talk on: Degree Based Energies of Graphs with Self-Loops
    77. Ms. Roshni Shetty MAHE, India
    78. Mr. Tejasvi Shetty Prasanna School of Public Health,MAHE, Manipal, India
    79. Ms. Vibha Srichand Prasanna School of Public Health, MAHE, India
    80. Ms. Ananya Suvarna Mangalore University, Mangalagangothri., India
    81. Ms. Fathimath Thoufira Mangalore University, India
    82. Mr. Shivraj Thutte PSPH,MAHE, India
    83. Ms. Savitha V Manipal Academy of Higher Education, India
    Talk on: GCN Decomposition in the context of Rings
    84. Mr. Vinyas V Mangalore University,Mangalagangothri, India
    85. Ms. Saima Yunus PSPH, MAHE, India

    Applied Linear Algebra, Probability and Statistics

    September 24 - 25, 2023

    Contact

    Contact us at

    carams.mahe@gmail.com

    Dr. K. Manjunatha Prasad

    Coordinator, CARAMS

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