Vipin Agarwal

• Ph.D. (Mechanical Engineering), University of Maryland College Park, MD, USA, 2019
• B. Tech – M. Tech (Mechanical Engineering), Indian Institute of Technology, Kanpur, India, 2011  

• University of Memphis, Herff College of Engineering, Department of Mechanical Engineering Assistant Professor, August  2023 - current   
• University of Michigan, Ann Arbor Postdoctoral Research Fellow (Department of Mechanical Engineering),  Ann Arbor, 2019-2023 
• University of Maryland, College Park Research Assistant (Department of Mechanical Engineering), 2014-2019 
• Ansys Technology Specialist, 2014 
• General Electric Edison Engineer, 2011-2014

• Nonlinear Phenomena
• Dynamics
• Vibrations and Controls
• Physical Reservoir Computing
• Origami Engineering
• Cochlear Mechanics    

• Stochastic Dynamics & Nonlinear Analysis
• Vibrations and Controls
• Physical Reservoir Computing
• Oscillator Networks
• Origami Engineering – Deployable Structures Dynamics
• Data Driven Nonlinear Dynamics
• Renewable Energy Systems & Energy Harvesting
• Cochlear Mechanics

Brief Description of Research: My research delves into nonlinear phenomena, employing analytical, computational and experimental methodologies. I place a particular emphasis on a diverse array of  subjects including nonlinear dynamics, stochastic dynamics, vibrations and control, and robotics. Additionally, I explore the intricacies of metastructures and metamaterials, origami engineering, and cochlear mechanics.  

Research Laboratory Name: Dynamics, Controls, and Computing Lab, ES 335

Brief Description of Laboratory: Dynamics, Controls, and Computing Lab focuses on the following areas: 1. Investigating the dynamics influenced by noise (stochastic perturbation) across various systems, both mechanical and non-mechanical. The aim is to harness real-life noise constructively. 2. Designing a neural machine with the capability to predict long-term transient chaos in nonlinear systems, facilitating early detection and control of undesired dynamical states. 3. Exploring the nonlinear phenomena inherent in origami structures and pioneering metastructures suitable for diverse engineering applications.

1. Rotor-Stator Systems

2. Cooperative Robotic Systems

3. Nano and Microscale Devices

4. Neuroscience & Brain Disease Detection

5. Energy Harvesting

6. Intracellular Transportation

7. Deployable Structures

Brief Description of Research Applications: Noise is not merely random disturbances; nature often harnesses it as a valuable energy source. By compiling a diverse library of studies on noise-influenced dynamics across various high-dimensional systems, both mechanical and non-mechanical, we are poised to harness real-life noise with intent and purpose.
· The importance of forecasting extended transient chaos is underscored in both engineering and biomedical sectors. This emphasis arises as a direct result of the transient nature of many machine breakdowns and certain brain diseases.
· The complex geometry and potential for multistable states in origami (deployable) structures result in pronounced nonlinear dynamics. Delving into these dynamics has the potential to unlock groundbreaking applications for origami-inspired, nonlinearly tunable structures in robotics, aerospace, and even architecture.