Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Rakesh Kapania

Wendy and Norris Mitchell Professor

Virginia Tech

United States

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in United States

About

Rakesh Kapania is the Wendy and Norris Mitchell Professor at Virginia Tech, USA. His research focuses on theoretical and experimental analyses of beam-like inflatables, integrated structural design optimization of space vehicles, and the mechanical cues guiding the formation of 3D spheroids in fibrous environments. His recent work includes the development of advanced optimization techniques and methodologies for structural analysis and testing.

Articles (11)

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Collaborators (4)

Nir Gov

Associate Professor

Weizmann Institute of Science

ISRAEL

View details

balakrishnan devarajan

Virginia Polytechnic Institute and State University

UNITED STATES

View details

Amrinder Nain

Associate Professor

Virginia Tech

UNITED STATES

View details

Wei Zhao

Oklahoma State University

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Rakesh Kapania

Research Interests

Make your next move.

Explore related searches

About

Articles (11)

Material parameterization including damage for predicting diver lung underwater explosion (UNDEX) injury

Theoretical and experimental analyses of beam-like inflatables

Integrated Structural Design Optimization of Space Vehicles with Multidisciplinary Constraints

Mechanical cues guide the formation and patterning of 3D spheroids in fibrous environments

Confinement in fibrous environments positions and orients mitotic spindles

ALMO: Active Learning-Based Multi-Objective Optimization for Accelerating Constrained Evolutionary Algorithms

Development of a low-cost flutter test bed with an EPS foam model for preliminary wing design

Analyzing thermal buckling in curvilinearly stiffened composite plates with arbitrary shaped cutouts using isogeometric level set method

A sensitivity-based nonlinear finite element model updating method for nonlinear engineering structures

Accelerated optimization of curvilinearly stiffened panels using deep learning

Alga: Active learning-based genetic algorithm for accelerating structural optimization

Collaborators (4)

Nir Gov

balakrishnan devarajan

Amrinder Nain

Wei Zhao

Make your next move.