Our motivation is to study the evolution of double emulsions exiting from a tapered nozzle, driven by a background flow in the nozzle. Laboratory experiments have shown that in certain cases the drops...
Traditional auctions, and more generally, traditional economic transactions, have always been of "manual scale." For example, the number of auctions conducted even in the largest of auction houses was...
ABSTRACT: Many environmental and industrial flows involve the turbulent transport of a dispersed phase, such as aerosols in urban environments, water droplets in clouds, and sediments in the ocean. A...
Abstract: Nonconvex optimization arises in many real-world applications such as electrical engineering, transportation, automatic control, machine learning and data science. We propose numerical...
We are currently witnessing an increasing integration of energy and transportation, which, coupled with human interactions, is giving rise to a new level of complexity in the next generation of...
Spurred by recent advances, machine learning methods are beginning to prescribe decisions in high-stakes domains, including hiring and medical diagnoses. The standard machine learning paradigm that...
Please register for this event here: https://cornell.qualtrics.com/jfe/form/SV_1KSUg03Q06ayrDn "Incorporation of Text News Analytics in Risk Assessment" Analytical models in finance all share some...
Abstract: The goal of directly imaging Earth-like planets in the habitable zone of other stars in our galaxy (potentially supporting life?!) has motivated the design of high-contrast imaging...
Abstract: We present in this talk the scalar auxiliary variable (SAV) approach to deal with nonlinear terms in a large class of gradient flows. The technique is not restricted to specific forms of the...
Abstract: The convex conjugate of a function is a fundamental dual construction in convex optimization. This talk will discuss a novel convex conjugate approach to analyze some of the most popular...
