National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Faculty Profile

EXPERTISE INFORMATION

Research Group
  • Statistics, Optimization and Discrete Mathematics
Areas of Interest
  • Applied Probability, Statistical Inference, Statistical Information Theory, Statistical Decision Theory, Order Statistics.

Suchandan Kayal Associate Professor

Mathematics

kayals@nitrkl.ac.in

0661 - 246 2715

14

PUBLICATIONS

1

SPONSORED PROJECTS

8

DOCTORAL STUDENTS

2

CONTINUING EDUCATION

PERSONAL INFORMATION

Suchandan Kayal

Associate Professor

Mathematics

Room Number: MN-302

Department of Mathematics, National Institute of Technology Rourkela, Sundargarh, Odisha, India - 769008

2011

Ph.D.
Statistics
Indian Institute of Technology Kharagpur

2003

M.Sc
Mathematics
Vidyasagar University

2001

B.Sc
Mathematics
Midnapore College, Vidyasagar University

Teaching Experience
  • Probability, Statistics and Mathematics,  National Institute of Technology Rourkela,   04 Mar 2014 - 04 Nov 2019
  • Probability, Statistics and Mathematics,  Birla Institute of Technology Mesra, Ranchi,   16 Aug 2012 - 28 Feb 2014
  • SAS,  Indian Institute of Technology Bombay, Powai,   08 Jul 2011 - 07 Jun 2012
Post Doctoral Research Experience
  • Statistics,  Indian Institute of Technology Bombay, Powai,   08 Jul 2011 - 07 Jun 2012

Stochastic inequalities between extreme order statistics when random samples are independent and interdependent. SERB
  • Principal Investigator
  • 36
  • Completed   Sponsored

Total Publications: 14

S. Dutta and S. Kayal,"Estimation of parameters of the logistic exponential distribution under progressive type-I hybrid censored sample", Quality Technology & Quantitative Management, vol.19, no.2, pp.234-258, Taylor and Francis, January 2022, 10.1080/16843703.2022.2027601       Article

S. Kayal,"Failure extropy, dynamic failure extropy and their weighted versions", Stochastics and Quality Control, vol.36, no.1, pp.59-71, De Gruyter, January 2021, 10.1515/eqc-2021-0008       Article

A. D. Crescenzo, S. Kayal, and A. Meoli,"Fractional generalized cumulative entropy and its dynamic version", Communications in Nonlinear Science and Numerical Simulation, vol.102, no.105899, Elsevier, May 2021, 10.1016/j.cnsns.2021.105899       Article

B. K. Jha, A. K. Mahapatra, and S. Kayal,"Estimation of hazard rate of a selected exponential population", Journal of Statistical Theory and Practice, vol.14, no.3, Springer, June 2020, 10.1007/s42519-020-00112-9       Article

R. Moharana and S. Kayal,"Properties of Shannon entropy for double truncated random variables and its applications", Journal of Statistical Theory and Applications, vol.19, no.2, pp.261-273, Atlantic press, June 2020, 10.2991/jsta.d.200512.003       Article

“Emerging Applications of Mathematics and Statistics in Engineering Science and Technology (EAMSEST-2022)" Hybrid (online and offline) mode Mathematics (Workshop)
1st International Conference on Applied Analysis, Computation and Mathematical Modelling in Engineering (AACMME-2021) Mathematics (Conference)

  • MA1002 : Mathematics - II {Theory}
  • MA1004 : Mathematics - II {Theory}
  • MA101 : Mathematics - I {Theory}
  • MA102 : Mathematics – II {Theory}
  • MA201 : Mathematics - III {Theory}
  • MA201 : Mathematics – III {Theory}
  • MA203 : Introduction to Real Analysis {Theory}
  • MA2203 : Introduction to Probability and Statistics {Theory}
  • MA324 : Probability {Theory}
  • MA404 : Complex Analysis {Theory}
  • MA4202 : Probability and Statistics {Theory}
  • MA4208 : Stochastic Process {Theory}
  • MA521 : Probability and Statistics {Theory}
  • MA621 : Probability and Statistics {Theory}
  • MA625 : Stochastic Processes {Theory}
  • MA629 : Advanced Statistical Methods {Theory}
  • MA652 : Statistical Inference {Theory}
  • MA6621 : Probability and Statistics {Theory}
  • MA6625 : Stochastic Processes {Theory}
  • MA271 : Simulation Laboratory – I {Practical}
  • MA272 : Simulation Laboratory - II {Practical}
  • MA371 : Laboratory Work on Mathematical Software {Practical}
  • MA372 : Statistics Laboratory using different Software {Practical}
  • MA571 : Statistics Laboratory – I {Practical}
  • MA572 : Statistics Laboratory - II {Practical}

Ph.D. Students [8]
Information Measures for Truncated Random Variables
Rajesh Moharana
Enrolled: Jul 2014
Graduated :  2019
Supervisor
Statistical Inference based on Progressive Type-II Censored Samples from Lifetime Distributions
Kousik Maiti
Enrolled: Jul 2016
Graduated :  2021
Supervisor
Study on Various Stochastic Comparisons of Order Statistics Arising from General Families of Distributions
Sangita Das
Enrolled: Jul 2017
Graduated :  2021
Supervisor
Statistical Inference of Some Life Testing Models under Various Censoring Schemes
Subhankar Dutta
Enrolled: Jul 2019
Graduated :  2023
Supervisor
Order Statistics
Raju Bhakta
Enrolled: Jan 2020
Continuing
Supervisor
Statistical Information Theory
Shital Saha
Enrolled: Mar 2021
Continuing
Supervisor
Statistical Inference
Amlan Dey
Enrolled: Aug 2022
Continuing
Supervisor
Statistics (Order statistics in reliability theory)
Kaushik Gupta
Enrolled: Jul 2023
Continuing
Supervisor

Awards And Honours
  • Young Scientist Award by ISCA, 2012,