National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

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Faculty Profile

EXPERTISE INFORMATION

Research Group
  • Analysis, Algebra and Topology, Statistics, Optimization and Discrete Mathematics, Applied Mathematics
Areas of Interest
  • Convex and Variational Analysis, Maximal Monotone Operator and Splitting of Operators
  • Continuous Optimization and Algorithms

Suvendu Ranjan Pattanaik Associate Professor, Mathematics

pattanaiks@nitrkl.ac.in

0661 - 246 2714

17

PUBLICATIONS

3

SPONSORED PROJECTS

7

DOCTORAL STUDENTS

1

CONTINUING EDUCATION

PERSONAL INFORMATION

Suvendu Ranjan Pattanaik

Associate Professor

Mathematics

Room Number: MN-321

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

2009

Ph.D.
Convex and Variational Analysis, Maximal Monotone Operator
Indian Institute of Technology Kanpur

Teaching Experience
  • Functional Analysis, Linear Algebra,  NIT Rourkela,   20 Jul 2009 - 11 Jun 2019
Post Doctoral Research Experience
  • Direct Search Method for Non-convex problems,  University of Coimbra, Portugal,   21 Jul 2011 - 30 Jul 2012

Study of Douglas-Rachford Operator splitting in the context of Non-convex feasibility Problems CSIR
  • Principal Investigator
  • 36
  • Running   Sponsored
Study of the Alternating Direction Method of Multipliers (ADMM) in the Context of Non-convexity and Bergmann Distances. Science & Engineering Research Board(SERB)
  • Principal Investigator
  • 36
  • Completed   Sponsored
Sum Problem of Maximal Monotone Operators in Branch Spaces CSIR
  • Principal Investigator
  • 36
  • Completed   Sponsored

Total Publications: 17

K. S. Srivastava and S. R. Pattanaik,"Studying consistent and inconsistent nonconvex feasibility problems on a sphere and a singleton using Douglas– Rachford algorithm", OPSEARCH, Springer 2026, https://doi.org/10.1007/s12597-026-01117-x       Article

S. Priyadarshana, J. Mohapatra, and S. R. Pattanaik,"A second order fractional step hybrid numerical algorithm for time delayed singularly perturbed 2D convection-diffusion problems", Applied Numerical Mathematics, vol.189, pp.107-129, Science Direct 2023, 10.1016/j.apnum.2023.04.002       Article

S. Priyadarshana, J. Mohapatra, and S. R. Pattanaik,"An improved time accurate numerical estimation for singularly perturbed semilinear parabolic differential equations with small space shifts and a large time lag", Mathematics and Computers in Simulation, vol.214, pp.183-203, Elsevier, July 2023, 10.1016/j.matcom.2023.07.009       Article

S. Priyadarshana, J. Mohapatra, and S. R. Pattanaik,"Parameter uniform optimal order numerical approximations for time-delayed parabolic convection diffusion problems involving two small parameters", Computational and Applied Mathematics, vol.41, no.6, pp.233, Springer, September 2022, 10.1007/s40314-022-01928-w       Article

K. S. Srivastava and S. R. Pattanaik,"Solving nonconvex feasibility problem on a sphere and a closed ball by douglas–rachford algorithm", Asia-Pacific Journal of Operational Research, vol.38, no.1, pp.2050042, World Scientific 2021, 10.1142/S0217595920500426       Article

National Conference on Recent Advances in Mathematics and its Applications 2026 (NCRAMA 2026) Mathematics (Conference)

  • Abstract Algebra {Theory}
  • Advanced Linear Algebra {Theory}
  • Analysis {Theory}
  • Calculus of Several Variables {Theory}
  • Complex Analysis {Theory}
  • Functional Analysis {Theory}
  • Functional Analysis with Applications {Theory}
  • Introduction to Complex Analysis {Theory}
  • Introduction to Complex Analysis and Partial Differential Equations {Theory}
  • Introduction to Real Analysis {Theory}
  • Linear Algebra {Theory}
  • Linear Algebra {Theory}
  • Mathematical Methods {Theory}
  • Mathematics - I {Theory}
  • Mathematics - II {Theory}
  • Mathematics - III {Theory}
  • Mathematics – III {Theory}
  • Mathematics - IV {Theory}
  • Mathematics – IV {Theory}
  • Measure Theory {Theory}
  • Metric Spaces {Theory}
  • Number Theory {Theory}
  • Real Analysis {Theory}
  • Real Analysis I {Theory}
  • Departmental Seminar - I {Practical}
  • Laboratory Work on Matrix Theory {Practical}
  • Numerical Methods Laboratory {Practical}
  • Optimization Laboratory – I {Practical}
  • Optimization Laboratory - II {Practical}

Ph.D. Students [7]
Robust Numerical Techniques Based on Layer-resolving Meshes for Time-delayed Singularly Perturbed Parabolic Problems
Sushree Priyadarshana
Enrolled: Jul 2019
Graduated :  Jan 2024
Co-Supervisor
A Study on Nonconvex Feasibility Problems Using Douglas-Rachford Operator Splitting Method
Kumari Sweta Srivastava
Enrolled: Jan 2016
Graduated :  Oct 2023
Supervisor
On Maximal Monotone Operators and the Sum Problem in General Banach Spaces
Dillip Kumar Pradhan
Enrolled: Jan 2013
Graduated :  Apr 2019
Supervisor
Study on some Problems in Elliptic PDEs and Operators over Function Spaces
Ratan Kumar Giri
Enrolled: Jan 2013
Graduated :  Jul 2018
Co-Supervisor
Linear Algebra, Analysis, Functional Analysis, Optimization
Riju Patra
Enrolled: Jan 2025
Continuing
Supervisor
FUNCTIONAL ANALYSIS
Milan Barik
Enrolled: Jan 2024
Continuing
Supervisor
Functional Analysis,Convex Analysis
Manish Kumar Sahu
Enrolled: Aug 2020
Continuing
Supervisor

Memberships / Fellowships
  • Member of SIAM,   2024
  • Associate fellow of Indian Institute of Advanced Studies,   2022