Limited space available so sign up now! https://forms.gle/r2WrLTYZTszRQfLZ8 Given the success of the faculty lightning talks in January, the faculty will repeat this, but we are also creating an event for you the graduate students to develop and practice your “elevator pitch” … Read more
Scientific Machine Learning for Computational Wave Imaging Problems: from Carbon Zero Emissions to Breast Cancer Detection Abstract. AI for Science (aka “AI4Science”) is currently one of the most prominent topics in the machine learning community. In this talk, I will focus … Read more
Asymptotic Preserving Numerical Methods for Multiscale Problems Abstract. Many phenomena in nature exhibit multiscale behaviors, which can be rather different in character. These phenomena can be categorized into two groups. On the one hand, there are problems featuring localized singularities, … Read more
Slice-Matching for Measure Transport: Approximation and Iterative Schemes Abstract: Transporting and estimating probability measures are fundamental tasks in various generative modeling methods like normalizing flows. An equally crucial aspect is having a suitable metric to gauge model performance and guide algorithm … Read more
Be a part of live demonstrations at the Physical Mathematics Lab from 10-11 AM, followed by captivating experiments at the Joint Fluids Lab from 11 AM-12 PM. Witness mathematics come to life in these interactive sessions. The official University Research … Read more
Applied Mathematics Colloquium There will be a post-colloquium tea from 4:30p-5:00p in PH 330.
The second Triangle Computational and Applied Mathematics Symposium (TriCAMS) will be jointly hosted by Duke University and NC Central University. The first day of the conference will be at NCCU and the second day and a half will be at Duke. The … Read more
Coarsening dynamics of condensing fluid thin films Abstract: The behavior of thin layers of viscous fluids coating solid surfaces is of importance in many industrial and natural applications. Interfacial instabilities and pattern formation can occur in films on water-repellent surfaces. Thin … Read more
Title: Detection and recovery of low-rank signals under heteroskedastic noise Abstract: A fundamental task in data analysis is to detect and recover a low-rank signal in a noisy data matrix. Typically, this task is addressed by inspecting and manipulating the spectrum … Read more
Title-Bubble clusters and particle-pair dispersion in bubble-laden flows Abstract-Bubble clusters We use experiments to study the evolution of bubble clusters in a swarm of freely rising, deformable bubbles. A new machine learning-aided algorithm allows us to identify and track bubbles … Read more
Spreading of Innovations on Networks Abstract. Spreading (diffusion) of new products is a classical problem. Traditionally, it has been analyzed using the compartmental Bass model, which implicitly assumes that all individuals are homogeneous and connected to each other. To relax … Read more
Mathematical modeling of polymerization processes in physiology Abstract: Polymerization, or aggregation, is essential for many physiological systems. For example, the emergence of a fibrin polymer mesh during the formation of a blood clot is required for a stable clot and … Read more
