TOFLUX: A Differentiable Topology Optimization Framework for Multiphysics Fluidic Problems (submitted in 2025)
TreeTOp: Topology Optimization using Constructive Solid Geometry Trees (published in Structural and Multidisciplinary Optimization, 2024)
PhoTOS: Topology Optimization of Photonic Components using a Shape Library (published in Engineering with Computers, 2024)
VoroTO: Multiscale Topology Optimization of Voronoi Structures using Surrogate Neural Networks (published in Engineering with Computers, 2024)
TOMAS: Topology Optimization of Multiscale Fluid-Flow Devices using Variational Autoencoders and Super-Shapes (published in Structural and Multidisciplinary Optimization, 2023)
FluTO: Graded Multiscale Fluid Topology Optimization of Large Contact Area Fluid-flow Devices using Neural Networks (published in Engineering with Computers, 2023)
Research Experience
Conducting research work at the Engineering Representation and Simulation Lab.
Education
Ph.D. candidate at the University of Wisconsin-Madison in the Engineering Representation and Simulation Lab, advised by Prof. Krishnan Suresh.
Background
Research interests include fluid mechanics, photonics, topology optimization, bio-inspired designs, machine learning, and computational methods.