activity
20102022
most citedFluid Mixing from Viscous Fingering

245 citations · 271 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2022

Detecting Cloud-Based Phishing Attacks by Combining Deep Learning Models

Birendra Jha, Medha Atre, Ashwini Rao

Web-based phishing attacks nowadays exploit popular cloud web hosting services and apps such as Google Sites and Typeform for hosting their attacks. Since these attacks originate f…

physics.geo-ph2021

A fault slip model to study earthquakes due to pore pressure perturbations

Saumik Dana, Birendra Jha

The burgeoning need to sequester anthropogenic CO for climate mitigation and the need for energy sustenance leading upto enhanced geothermal energy production has made it incre…

cs.DC2021★ 7 cited

Distributed Deep Learning Using Volunteer Computing-Like Paradigm

Medha Atre, Birendra Jha, Ashwini Rao

Use of Deep Learning (DL) in commercial applications such as image classification, sentiment analysis and speech recognition is increasing. When training DL models with large numbe…

cs.CE2021★ 19 cited

Two-grid method on unstructured tetrahedra: Applying computational geometry to staggered solution of coupled flow and mechanics problems

Saumik Dana, Xiaoxi Zhao, Birendra Jha

We develop a computational framework that leverages the features of sophisticated software tools and numerics to tackle some of the pressing issues in the realm of earth sciences.…

physics.flu-dyn2010★ 245 cited

Fluid Mixing from Viscous Fingering

Birendra Jha, Luis Cueto-Felgueroso, Ruben Juanes

Viscous fingering is a well-known hydrodynamic instability that sets in when a less viscous fluid displaces a more viscous fluid. When the two fluids are miscible, viscous fingerin…