cse19

Scientific Computing, Machine Learning, and Data Science: Recurring Themes at CSE19

Paul Davis offers a detailed overview of some of the invited talks, prize lectures, and minisymposia presentations at CSE19.

Electricity Markets and Renewable Energy

Multiple countries are moving towards a deregulated, market-based electricity system in which competing agents make...

Oscillating Wait Times and Queues with Information Updates

Could Hopf bifurcation be responsible for fluctuating wait times? Jamol Pender investigates at CSE19.

Mid-Career Panel at CSE19 Guides Attendees through Academic and Industrial Crossroads

At CSE19, Misha E. Kilmer, Sven Leyffer, and Lois Curfman McInnes spoke candidly about difficulties and successes at the mid-career level.

CSE19 Panel Promotes Strategies to Increase Diversity and Inclusion in Academia

Panelists at a CSE19 discussion on diversity spoke about ongoing efforts towards equal representation in academia.

Scientific Machine Learning: How Julia Employs Differentiable Programming to Do it Best

One of the most exciting new capabilities of the Julia programming language is differentiable programming.

Technical and Organizational Challenges for Data Scientists

Catherine Micek of 3M recounts her career trajectory from an initial academic appointment to an industrial position.

Photo Highlights from CSE19 and GS19

View a multitude of prize photos from CSE19 and GS19, which took place earlier this year.

Balancing Motherhood with a Successful Career in STEM

Three SIAM members share their insights on effectively balancing careers with the challenges of motherhood.

Trends in Combinatorial Analysis: Complex Data, Machine Learning, and High-Performance Computing

Discrete algorithms and combinatorial analysis were well represented at CSE19, held this year in Spokane, Wash.

SIAM Announces Major CS&E Prizes

The SIAM/ACM Prize in Computational Science and Engineering and the James H. Wilkinson Prize for Numerical...

Mathematicians to Present Livestreamed Lectures at CSE19

We have invited distinguished applied mathematicians to give lectures and will present multiple awards for...

An In-Depth Exploration of the Cave Automatic Virtual Environment

At CSE19, Ralf-Peter Mundani discussed the Cave Automatic Virtual Environment, an immersive virtual reality tool for visual data exploration.

Adaptive Mesh Refinement Predicts Future Melting of the Antarctic Ice Sheet

Daniel Martin presented an AMR-based ice sheet model that examines the Antarctic ice sheet's response to sheet...

Data Visualization to Enhance Science Communication

Maria Weber shared visualization techniques to improve the effectiveness of science communication at CSE19.

Modeling Modern Plate Tectonics with Three-Dimensional Virtual Reality Simulations

At CSE19, Margarete Jadamec applied high-performance computing and three-dimensional virtual reality to subduction activity in Earth's lithosphere.

Convolutional Neural Networks Identify Illness from Facial Photographs

At CSE19, Altansuren Tumurbaatar presented a mobile disease surveillance tool that uses CNNs to identify sick faces...

Machine Learning Techniques Advance Suicide Prevention Strategies

Xinlian Liu combined machine learning techniques with MIMIC-III data to suggest best-practice strategies for suicide...

Deep Learning Methods Improve Microfossil Segmentation and Analysis

Amine Kerkeni utilized volumetric deep learning to detect, segment, and classify microfossils in 3D micro-CT scans at CSE19.

Predictive Models of Crop Phenotyping Maximize Future Harvests

Patrick Schnable presented novel predictive statistical models to forecast crop performance and maximize...

Working at the Intersection of Deep Learning with Protein Structure Classification and Prediction

Determining proteins’ three-dimensional structure is key to understanding how they work and why they cause...

Next Generation FFT Algorithms in Theory and Practice: Parallel Implementations, Sparse FFTs, and Applications

A two-part minisymposium at CSE19 focused on the fast Fourier transform, an algorithm that is used in a variety of applications.

Upgrading Safety Requirements to Prevent Technological Catastrophes

Upgrading engineering safety requirements could account for the magnitude of adverse outcomes beyond safety...

Capabilities, Collaboration, and Cancer

A combination of data science and bench science has the potential to transform the way we diagnose, treat, and...

The World Needs New and Better Medicines Now

Because medicine development is time-consuming, expensive, and error-prone, many diseases lack available medicines...

Avoid the Most Common Stumbling Block When Transitioning to a Technology Company

The quest to transform themselves into technology companies is very slow, costly, and difficult for many...

Toward Tomographic Ultrasound Imaging in the ICU

Ultrasound computed tomography has the potential to save lives by detecting a tension pneumothorax at a...

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