Headshot of Prashant Jha

Prashant Jha

Assistant Professor

Education

B.E. (Mechanical) Govt. Engineering College, Raipur, India
M.E. (Mechanical), Indian Institute of Science, Bangalore, India
Ph.D. (Civil and Environmental), Carnegie Mellon University, Pittsburgh, USA

Research Expertise

Our group uses mechanics, applied mathematics, and computational science to understand and represent the complex behavior of materials, e.g., multiphysics effects in materials, material damage, crack propagation, and high-fidelity simulation of granular media involving arbitrarily shaped particles and particle breakage. Broadly, we are interested in the mechanics of smart materials, focusing on functional soft and granular materials.

We are actively seeking enthusiastic undergraduate and graduate students interested in computational mechanics and applying advanced numerical and machine learning-based methods to problems in fracture mechanics, functional soft materials, and granular materials.

Visit our group webpage for more information and open positions: <CEAD,P>=X Lab

Teaching

Machine Design I (ME 322), Spring 2025
Machine Design I (ME 322), Fall 2024
Engineering Principles (M21946), Spring 2024 (University of Portsmouth)
Technology Concepts (M21967), Spring 2024 (University of Portsmouth)
Engineering Computation (COE 311K), Fall 2021 (The University of Texas at Austin)
Numerical Methods in Biomedical Engineering (BME 313L), Fall 2021 (The University of Texas at Austin)

Other Links

<CEAD,P>=X Lab
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