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Soshi Kawai profile photo for colloquium

PICS Colloquium: “Physics-compatible kinetic-energy and entropy preserving (KEEP) scheme for high-fidelity simulation of compressible turbulence” with Soshi Kawai

PICS Large Conference Room – 534 3401 Walnut Street, 5A, Philadelphia, PA, United States

Title: Physics-compatible kinetic-energy and entropy preserving (KEEP) scheme for high-fidelity simulation of compressible turbulence Speaker: Soshi Kawai, Professor of Aerospace Engineering at Tohoku University Abstract: Low (or ideally zero) numerical dissipation is always critical for high-fidelity scale-resolving flow simulations, as numerical dissipation prevents the physics of inviscid kinetic energy and entropy conservation, which is an […]

Eric Cyr

PICS Colloquium: “Exploiting time-domain parallelism to accelerate neural network training and PDE constrained optimization” with Eric Cyr

PICS Large Conference Room – 534 3401 Walnut Street, 5A, Philadelphia, PA, United States

Title: Exploiting time-domain parallelism to accelerate neural network training and PDE constrained optimization Speaker: Eric Cyr, Principal Member of the Technical Staff at the Computer Science Research Institute at Sandia National Laboratories Abstract: This talk will explore methods for accelerating numerical optimization constrained by transient problems using parallelism. Two types of transient problems will be […]

Neel Dey

PICS Colloquium: “Representations Learnt from Synthetic Volumes Enable Training-free Medical Image Analysis” with Neel Dey

PICS Large Conference Room – 534 3401 Walnut Street, 5A, Philadelphia, PA, United States

Speaker: Neel Dey, Postdoctoral Associate in the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory Abstract: Current medical image analysis projects involve months to years of data annotation and custom technical development. This talk introduces methods to train networks that generalize out-of-the-box to new modalities, anatomies, and datasets all without retraining for the […]