Advancing finite element methods for partial differential equations on complex domains, with a focus on rigorous error analysis and scientific computation.
Bridging rigorous mathematical theory and computational practice.
Anjaly Anand is a doctoral researcher in computational mathematics at NIT Calicut, specialising in finite element methods for partial differential equations on complex domains.
Her research focuses on developing and analysing finite element method variants for parabolic PDEs, with particular attention to non-convex geometries. This work involves deriving theoretical error estimates, designing and executing numerical experiments, and validating proposed methods through large-scale computational simulations.
As an educator, she has taught undergraduate and postgraduate courses in Statistical Methods for Engineers, Business Statistics, and Numerical Analysis at Amrita School of Arts and Sciences. Her approach emphasises conceptual clarity and active problem-solving.
Her work has been presented at international forums including the AWM Research Symposium at the University of Wisconsin–Madison, USA, and the International Conference on Computations and Data Science at IIT Roorkee, supported by competitive grants from the NSF and ANRF.
A trajectory shaped by rigorous scholarship and a commitment to advancing knowledge.
Peer-reviewed journal articles, book chapters, and conference contributions.
Competitive recognitions, international grants, and professional credentials.
A glimpse into the pursuits that enrich perspective and fuel curiosity.
"Anjaly welcomes research collaborations, academic opportunities, and scholarly exchanges across disciplines and borders."
Department of Mathematics
National Institute of Technology Calicut
Kerala, India — 673 601