Banff mountain background

Kaival Shah

kaival [at] u.northwestern [dot] edu

Kaival Shah

I am an undergraduate student researcher at Northwestern University's Center for Robotics and Biosystems. My research focuses on robot hand dexterity, with an emphasis on developing novel deep learning methods. I am particularly interested in problems involving robotics and applied sciences, with prior work in nonlinear optimization, numerical methods, and computational physics.


Research Papers

3D Cal: An Open-Source Software Library for Calibrating Tactile Sensors

Rohan Kota, Kaival Shah, J. Edward Colgate, Gregory Reardon

Paper
3D Cal Depthmap Animation

Gaussian Survivorship Functions for Optimal Offspring Size Resource Distribution Using Nonlinear Optimization

Kaival Shah, Taom Sakal, Stephen Proulx

Gaussian Survivorship Research Poster
Gaussian Survivorship Research TalkGaussian Survivorship Research Group

Synchronization of Single and Double Pendulums With the Kuramoto Model for Real-World Applications

Kaival Shah

Paper

Research Experience

Center for Robotics and Biosystems, Northwestern University

Tactile Sensing and Dexterity Researcher, advised by PhD Candidate Rohan Kota and Postdoctoral Researcher Dr. Gregory Reardon

May 2025 – Present

Northwestern University Computer Science

Research Intern, advised by Zhenyu Pan

March 2025 – May 2025

Ecology Evolution and Marine Biology Lab, UC Santa Barbara

Mathematical Biology Researcher; advised by Dr. Taom Sakal

June 2023 – Aug. 2023

Oberlin College

Computational Physics Researcher; advised by New York University Professor of Physics Andrew Haas

June 2022 – Oct. 2022