Animikh Biswas

Dr. Animikh Biswas is a Professor and Chair in the Department of Mathematics & Statistics at the University of Maryland, Baltimore County (UMBC). His research focuses on nonlinear partial differential equations, geophysical fluid dynamics, turbulence theory, and data assimilation. He holds a B.S. from the Indian Statistical Institute (1991), an M.S. from the Indian Statistical Institute (1993), and a Ph.D. from Indiana University, Bloomington (2000), under the supervision of Prof. Ciprian Foias.

Dr. Biswas's research explores well-posedness and long-term dynamics of Navier-Stokes, Euler, and related equations, with applications to geophysical fluid dynamics and turbulence theory. He has also contributed to functional data analysis, systems theory, and H∞ control theory. His recent work emphasizes data assimilation techniques and their application to fluid dynamics problems, including error estimates for deep learning methods and mesh-free interpolant observables.

• Grants:
  • NSF DMS-1517027 (2015–2019): Collaborative research on deterministic and statistical relations between Navier-Stokes equations and determining forms (PI).
  • NSF DMS-1425877 (2013–2015): Collaborative research on turbulence study via complex singularities and determining modes (PI).
• Students Advised: Abhishek Balakrishna (PhD 2023), Randy Price (PhD 2021), Joshua Hudson (PhD 2018).

His work bridges theoretical analysis and applied mathematics, with a focus on advancing methodologies for fluid dynamics and data-driven systems. He has published extensively in journals such as SIAM Journal on Mathematical Analysis, Discrete and Continuous Dynamical Systems, and Applied Mathematics and Optimization.