cse17

Adaptive Mesh Refinement: An Essential Ingredient in Computational Science

Paul Davis reports on various applications of adaptive mesh refinement and looks towards the next generation of the method’s use.

A Computationally Efficient Solution of Large-Scale Image Reconstruction Problems

Misha Kilmer works with diffuse optical tomography (DOT), an imaging protocol that passes near-infrared light...

The aeronautics industry is a sophisticated user of CSE and a source of some of the field’s biggest challenges.

New computing architectures promise to deliver more accurate weather predictions faster than ever before.

Debbie McCoy and Mary Ann Leung describe the BE program’s importance in fostering diversity and inclusion...

J.R. Hughes was awarded the 2017 SIAM/ACM Prize in Computational Science and Engineering on March 2 at CSE17.

At a CSE17 minisymposium, Yi Jiang of Georgia State University described a mathematical model to study tumor invasion.

Dane Taylor outlined best practices and basic limitations in community detection during a minisymposium at...

At CSE17, WenZhan Song presented a Real-time In-situ Seismic Imaging system that quickly monitors subsurface...

Participants at the funding panel held during CSE17 described best practices for obtaining funding and addressed challenges facing the field.

Analyzing human movement and modeling human mobility networks can help control and eliminate communicable diseases...

At CSE17, Theresa Windus discussed the National Science Foundation-funded Molecular Sciences Software Institute...

Experts in the CSE community with diverse backgrounds addressed important field-related questions at a CSE17 forward-looking panel.

Large agricultural regions often see overpumping of aquifers beneath their surface due to the huge demand for water...

Dr. Thomas J. R. Hughes of the University of Texas at Austin was awarded the 2017 SIAM/ACM Prize in CS&E.

Michael Lloyd spoke at the SIAM Conference on Computational Science and Engineering about the problem of atrial fibrillation.

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