Workshop on Differentiable Marine Hydrodynamics Simulations and its Applications using MarineHydro.jl
Jul 27, 2025
Kapil Khanal
Designing and Operating Large-Scale Systems
Differentiable Programming to Engineer Complex Systems.
About Me
I am a doctoral candidate at Cornell University, specializing in systems design, engineering, and optimization. My work focuses on leveraging modeling, optimization, and computational techniques to advance sustainable technologies. As a member of the Symbiotic Engineering and Analysis (SEA) Lab, I collaborate on modeling and optimizing novel offshore systems such as wave energy converters.
With a Master’s degree in Systems Engineering and ongoing PhD work, I am to bridge theory and applications for large-scale systems. I did my undergraduate in Mathematics and Data Science from Winona State University, Minnesota.
Research Focus
I am interested in applying computational methods to solve real-world problems. Currently, I focus on multidisciplinary design optimization (MDO), control co-design, machine learning and physical simulations to design and operate large-scale systems. Through the powerful, gradient-based techniques, I tackle critical design challenges in domains ranging from renewable energy systems to aerospace structures. Broadly, I am interested in bridging the gap between theory and practice in engineering and science.
Keywords: Optimization, Optimal Controls, Differentiable Programming, Reinforcement Learning, System Architecture, System of System Optimization, Numerical simulations (boundary element method, finite difference method, finite element method, etc.), Data Science, Data Engineering.
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