Prashant K. Jha

Prashant K. Jha

Research Associate

The University of Texas at Austin

Biography

I am a Research Associate at the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin. I received a Ph.D. from Carnegie Mellon University in August 2016. I then worked as a Postdoctoral Scholar at the Department of Mathematics, Louisiana State University. My research interests are mechanics of solids and granular media and computational oncology. Current work includes developing models of tumor growth and recovery of parameters from the imaging data.

Last year in Fall, I taught two undergraduate courses on numerical methods. I am also serving the Journal of Peridynamics and Nonlocal Modeling as one of the associate editors and the Journal of Open Source Software (JOSS) as topic editor.

Interests

  • Mechanics of Solids and Granular Media
  • Computational Oncology
  • Multiscale Modeling
  • Artificial Neural Networks

Education

  • PhD in Civil and Environmental Engineering, 2016

    Carnegie Mellon University, Pittsburgh, USA

  • ME in Mechanical Engineering, 2012

    Indian Institute of Science, Bangalore, India

  • BE in Mechanical Engineering, 2010

    Govt. Engineering College, Raipur, India

News

Virtual Thematic Conference (January 10 - 11, 2022) on Computational Oncology

With colleagues, Ernesto Lima and Chengyue Wu, at Oden Institute, we are organizing a virtual thematic conference on computational oncology. The event is supported by Biological Systems TTA in USACM. We have a greate lineup of speakers and very excited to bring experts in one platform to discuss the modeling and data related issues in modeling cancer.

Experience

 
 
 
 
 

Research Associate

The University of Texas at Austin

Nov 2020 – Present Austin
 
 
 
 
 

Postdoctoral Scholar

The University of Texas at Austin

Aug 2019 – Nov 2020 Austin
 
 
 
 
 

Postdoctoral Scholar

Louisiana State University

Oct 2016 – Jul 2019 Baton Rouge

Professional Responsibilities

1. Associate Editor

Journal of Peridynamics and Nonlocal Modeling (JPER)

2. Topic Editor

Journal of Open Source Software (JOSS)

3. Journal Reviews

CMAME, JMPS, SINUM, M3AS, JALCOM, PHYSA, Mathematical Reviews (AMS)

Grants

A mechanistic tumor growth model for HP MRI

With David Fuentes at MD Anderson Cancer Center, Houston, USA. Awarded under the MDACC-Oden-TACC joint initiative.

$50,000 (Sep 2020 – Aug 2021)

Recent Publications

Mutual-Information Based Optimal Experimental Design for Hyperpolarized 13C-Pyruvate MRI
Modeling and simulation of vascular tumors embedded in evolving capillary networks
Biologically-based mathematical modeling of tumor vasculature and angiogenesis via time-resolved imaging data

Projects

Computational methods for nonlocal models

Develop efficient and parallel computational methods for class of nonlocal models such as Peridynamics and nonlocal diffusion equations

Analysis and application of peridynamics

Analysis and application of peridynamics

Modeling tumor growth, angiogenesis, drug-therapy, metastasis

Development and analysis of models of tumor growth, angiogenesis, drug therapy, and metastasis

Signal recovery from MRI

Development of models for improved signal recovery and image reconstruction, and developement and application of new methods for optimal data acquisition with uncertain model parameters

Study of granular media

Study properties of granular media using computational methods

Softwares

Angiogenesis3D1D

3D-1D tumor growth model for simulation of angiogenesis

PeriDEM

Peridynamics-based discrete element method for granular media

NLMech

Nonlocal mechanics library for peridynamics simulation

BayesForSEIRD

Calibration of SEIRD model under uncertainty: Application of Bayesian statistics

nonlocalheatequation

Implementation of a distributed nonlocal heat equation solver with load balancing

Recent & Upcoming Talks

Model selection and optimal experiment design for HP MRI experiments

Hyperpolarized (HP) MR imaging provides enhanced insights into the tissue’s metabolism and a new way to identify the tumor …

Analysis and application of peridynamics to fracture in solids and granular media

In this talk, we will present our recent work on peridynamics and its application. We consider a bond-based peridynamics with a …

Phase Field Models of the Growth of Tumors Embedded in an Evolving Vascular Network: Dynamic 1D-3D Models of Angiogenesis

In this talk, we present a coupled 3D-1D model of tumor growth within a dynamically changing vascular network to facilitate realistic …

Blogs

Modular website - Separating kernel files and static files

I am currently using hugo to create website. I found the process to be overall simple and straightforward. The process of setting up a new website includes: selecting an appropriate theme from hugo themes list use the example website files that come with a theme (usually themes are hosted in the github and from the github you can grab the corresponding example website files) customize the example website files as required test the website by first building in your computer using hugo server command: hugo server -D this spins up the website in the localhost http://localhost:1313/.

Contact

  • 6.252 POB, Austin, TX 78712