Yogesh Phalak — Associate Consultant
I am a Ph.D. Student in Engineering Mechanics at Virginia Tech, exploring the deep connection between mechanics, robotics, and computation. My goal is to build truly intelligent materials and robots that can "think" with their bodies. As a Graduate Research Assistant in the DARE Lab, I work on mechano-intelligence and physical reservoir computing. This involves using the complex, nonlinear dynamics of physical systems (like origami) to process information, creating a new class of computation. What I do: I build high-speed simulations and reduced-order models to understand and harness how these physical systems compute. My Toolkit: Python, MATLAB, C++, ROS, and GPU computing. Applications: My work contributes to adaptive robotics, intelligent materials, and novel computer architectures. I am always open to connecting with researchers and industry leaders in robotics, materials science, and computational engineering.
Stackforce AI infers this person is a Robotics and Computational Engineering specialist with a focus on intelligent materials.
Location: Blacksburg, Virginia, United States
Experience: 7 yrs 10 mos
Career Highlights
- Ph.D. candidate specializing in mechano-intelligence and robotics.
- Expert in high-speed simulations and nonlinear dynamics.
- Contributes to adaptive robotics and intelligent materials.
Work Experience
Virginia Tech College of Engineering
Graduate Research Assistant (2 yrs 11 mos)
Graduate Teaching Assistant (9 mos)
Octobotics Tech
UAV DevOps Engineer (7 mos)
FlytBase
Robotics Engineer Intern (6 mos)
Virginia Tech
Visiting Scholar (3 mos)
National University of Singapore
Distant Intern (9 mos)
IvLabs, VNIT
Technical Secretary (3 yrs 7 mos)
Education
Master of Science - MS at Virginia Tech
Doctor of Philosophy - PhD at Virginia Tech College of Engineering
Bachelor of Technology - BTech at Visvesvaraya National Institute of Technology