Engineered for Function: The Power of Biologically-Constrained Neural Networks for Neurosensory Integration

New opportunities to build bio-inspired models for neurosensory integration arise from data-driven modeling methods.

Best Paper Research Award at the SIAM International Conference on Data Mining

Hemank Lamba and Leman Akoglu received the Best Research Paper Award at SDM19.

The Royal Society discussion meeting on "Numerical Algorithms for High-Performance Computational Science" took place this past April.

Researchers can describe propagating pulses—such as fire fronts—as excitable systems coupled in space.

Several members of the SIAM community were recognized at the recent SIAM Conference on Control and its Applications.

Animals quickly recover the ability to move after mild injury. At DS19, George Council and Shai Revzen explored this recovery in robots.

Congrats to all the SIAM Prize Lecture and Recipients! Read more.

Andrew Brouwer uses multistage clonal expansion models to bridge the gap between cancer risk-factor prevalence and cancer incidence.

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

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

SIAG/DS presented the Red Sock Award for the best poster presentations in dynamical systems by a student or postdoc at DS19.

Sachit Butail modeled the temporal dynamics of human subjects to assess the effectiveness of extrinsic emotion regulation at DS19.

Heather Zinn Brooks presented a theoretical dynamical model of content spread and opinion dynamics on a social network at DS19.

At DS19, Mondal Hasan Zahid identified the conditions for which the presence of chickens decreases human risk for Chagas infection.

Irina Rypina investigated the dynamics of Atlantic bluefin tuna spawning in the Slope Sea at DS19.