Vipin Agarwal - Mechanical Engineering

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Dr. Vipin Agarwal

Education

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  

Professional Experience

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

Research Areas

Nonlinear Phenomena, Dynamics, Vibrations and Controls, Origami Engineering, Cochlear Mechanics   Research Area Specifics · Stochastic Dynamics & Nonlinear Analysis · Vibrations and Controls · Origami Engineering – Deployable Structures Dynamics · Data Driven Nonlinear Dynamics · Renewable Energy Systems & Energy Harvesting · Cochlear Mechanics   Brief Description 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 and Controls Lab, ES 335   Research Laboratory Dynamics and Controls 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.   Research 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   · 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.