معرفی
James Adler is a Professor in the Department of Mathematics at Tufts University, within the School of Arts and Sciences. He is currently on academic leave. His research focuses on scientific computing and numerical analysis, particularly in developing efficient computational methods for complex fluids, plasma physics, electromagnetism, and multi-scale physical systems. He holds a PhD in Applied Mathematics from the University of Colorado at Boulder (2009), an MS in Applied Mathematics from the same institution (1996), and dual BAs in Mathematics and Physics (with a concentration in Atmospheric Science) from Cornell University (2004).
Dr. Adler’s research emphasizes adaptive finite-element discretizations and multigrid solvers for nonlinear PDEs, aiming to preserve physical properties like energy conservation while optimizing computational efficiency. His work spans applications in magnetohydrodynamics, particle transport, and soft materials. He has developed tools like Morpho, a programmable environment for shape optimization and shapeshifting problems, and contributed to preconditioning techniques for Biot’s model and linear elasticity systems.
His recent articles highlight advancements in numerical methods, including oscillation-free schemes for Biot’s model, physics-informed models for dynamical systems, and stable mimetic finite-difference methods. These contributions underscore his focus on bridging computational efficiency and physical accuracy across diverse applications.
Adler has advised no listed students but actively collaborates on grants and research initiatives in computational mathematics. His lab work involves Morpho and related frameworks, advancing computational tools for engineering and material science challenges.
