Latest News | CEAD Lab

Oct 24, 2025 1 min read

Dr. Aalok Jha from Johns Hopkins University will join our lab as a Postdoctoral Fellow starting November 2025

We are excited to welcome Dr. Aalok Jha to Computational Engineering Analysis and Design (CEAD) Lab at South Dakota Mines as a Postdoctoral Fellow. Dr. Jha has a PhD from IIT Kanpur (Aerospace Engineering) and specializes in finite element modeling and mechanics of materials. Prior to joining our group, Dr. Jha worked at Johns Hopkins University as a Postdoctoral Fellow.

Prashant K. Jha

Sep 9, 2025 0 min read

PhD position available in CEAD Lab

Prashant K. Jha

Jun 6, 2025 1 min read

NSF research grant awarded to work on multi-fidelity modeling using PeriDEM

A huge thank you to the National Science Foundation (NSF) for the ERI award (link)! The awarded amount is $200k over two years.

This project will focus on developing an Adaptive Multi-Fidelity Framework for Modeling Heterogeneous Materials Under Extreme Conditions. We will be pushing the boundaries of how we simulate granular media like sand and rocks under intense stress. The attached video shows a glimpse of our work with the PeriDEM model!

Prashant K. Jha

Jun 6, 2025 1 min read

SDBOR Competitive Research Grant (CRG) award on modeling and design of magnetic soft materials

Thrilled to share some exciting news! Our lab at the South Dakota School of Mines and Technology has been awarded two new grants to pursue cutting-edge research in computational materials science. The first one is from NSF; see NSF award news.

Prashant K. Jha

Feb 26, 2025 1 min read

Ian was selected for 2025 REU Summary Research Position award to work on design of functional materials

Congratulations to Ian. This award will allow Ian to work on the design of functional materials during the summer 2025.

Prashant K. Jha

Oct 5, 2021 1 min read

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.