Projects
“We undertake various projects in our lab, each one presenting an exciting opportunity for exploration and innovation. Through meticulous research, experimentation and analysis, we strive to unravel complex scientific challenges and push the boundaries of knowledge. Our collaborative approach fosters synergy among team members, ensuring that each project benefits from diverse perspectives and collective expertise. Together, we are committed to making meaningful contributions to the ever-evolving landscape of computational science.
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As the volume, diversity, and complexity of data have surged in recent years, uncovering, extracting and leveraging their inherent structures has emerged as a pivotal challenge in data analysis and statistical learning.
Preserving maximum principles on pressure for nonlinear Darcy flow through anisotropic porous media using PINNS (physics informed neural networks) ensures the model adheres to physical laws and realistic pressure constraints in simulations having complex flow.
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RD system considered => Chemical Brusselator model. Necessary condition for obtaining stable component of graph kept as constraint in Dynamic optimization problem.
Tracking unknown satellites and determining their orbits. Use of advanced technology and mathematical precision to pinpoint their trajectories amidst vast expanse of space.
Diffusion Network based on Ito Representation as a pipeline on REDEFINE(TM).