Passivating contacts for silicon and perovskite solar cells
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Abstract: Integrated electronic-photonic co-design can profoundly impact both fields resulting in advances in several areas such as energy efficient communication, signal processing, imaging, and sensing.
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How to conduct real-time analytics of streaming measurement data in the power grid? This talk offers a dynamic systems approach to utilizing data of different time scale for improved monitoring of the grid cyber and physical security. This talk presents how to leverage synchrophasor data dimensionality reduction and Robust Principal Component Analysis for early anomaly detection, visualization, and localization. The underlying theme of the work suggests the importance of integrating data with dynamic physical models in the smart grid.
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We consider a class of distributed non-convex optimization problems, in which a number of agents are connected by a communication network, and they collectively optimize a sum of (possibly non-convex and non-smooth) local objective functions. This type of problem has gained some recent popularities, especially in the application of distributed training of deep neural networks.
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Abstract: Distribution limits in large systems are often the key to understanding the fundamental limits or designing algorithms for inference and learning problems. Yet, sometimes, such distribution limit properties are not easily recognized, or only exist in some indirect forms. I would like to discuss two pieces of work with this flavor.