Call For Papers

Subjects
(Included but not limited to)

We are delighted to announce the Call for Papers for the International Conference on Emerging Trends in Mathematical Sciences (ICETMS) 2023 to be held on 24-25 August 2023 in CHRIST (Deemed to be University), Delhi NCR campus (Hybrid mode). The conference serves as a premier platform for scholars, researchers, and practitioners from diverse fields to come together, exchange ideas, and foster intellectual discussions. We cordially invite you to submit your original research contributions to this esteemed event. The ICETMS 2023 welcomes papers on a wide range of topics within Mathematics and Statistics, including but not limited to:


TRACK 1: PURE MATHEMATICS:

  • Algebra
  • Topology
  • Number Theory
  • Complex Analysis
  • Real Analysis
  • Functional Analysis
  • Differential Geometry
  • Discrete Mathematics
  • Finite Element Analysis & Optimization
  • Finite Mathematics
  • Fuzzy Mathematics and Its Applications
  • Fuzzy Sets and Systems
  • Mathematical Logic
  • Numerical Analysis and Methods


TRACK 2: COMPUTATIONAL MATHEMATICS:

  • Applied Modeling and Simulation
  • Computational Fluid Mechanics
  • Scientific Computation


TRACK 3: MATHEMATICAL PHYSICS:

  • Chaos Theory
  • Classical Mechanics
  • Fluid Mechanics
  • Solid Mechanics
  • Heat and Mass Transfer
  • Nonlinear Problems in Mechanics


TRACK 4: STATISTICS:

  • Biomathematics and Biostatistics
  • Mathematical Statistics
  • Operations Research
  • Probability
  • Queuing Theory


TRACK 5: DIFFERENTIAL EQUATIONS:

  • Applied Partial Differential Equations
  • Calculus and Trigonometry
  • Differential Equations and Dynamical Systems and Their Applications
  • Elliptic Partial Differential Equations
  • Ordinary and Partial Differential Equations
  • Stochastic Differential Equations


TRACK 6: OTHERS:

  • Approximation Methods and Error Estimation
  • Cryptography
  • Fractals
  • Game Theory
  • Graphs and Combinatorics
  • Inverse Problems
  • Mathematical Modeling
  • Nonlinear Programming Models
  • Solving Polynomial Systems