Thesis Committee: Ravi Radhakrishnan, Ph.D., advisor; Dennis Discher, PhD; Scott Diamond, PhD; and Wei Guo, PhD
Abstract: In many online systems participants use data and algorithms to experiment and learn how to best use the system. Examples include traffic routing as well as online auctions. Game theory classically studies Nash equilibrium as the outcome of selfish interaction, and has many examples illustrating that selfish behavior can lead to suboptimal outcome for […]
Abstract: Recent advances in machine learning, computer vision, natural language processing, and robotics, offer a tremendous opportunity to transform medicine, from reactive and hospital centered to proactive and patient-centered. To fulfill this promise, new methods need to be developed which are more interpretable, can handle data at multiple spatial and temporal scales, and are robust […]
Abstract: One of the grand challenges facing humanity today is the development of an alternative energy system that is safe, clean, and sustainable. A Distributed Renewable Electrochemical Energy and Mobility System (DREEMS) can meet this challenge. At the foundation of this new energy system, we have chosen to study fuel cells, electrolyzers, and flow batteries. […]
Abstract: This presentation is focused on Isogeometric Analysis (IGA) with applications to solids and structures, starting with early developments and results, and transitioning to more recent work. Novel IGA-based thin-shell formulations are discussed, and applications to progressive damage modeling in composite laminates due to low-velocity impact and their residual-strength prediction are shown. Fluid--structure interaction (FSI) employing […]
Recent years have seen a flurry of activity in solving statistical estimation and learning problems via nonconvex optimization. While conventional wisdom often takes a dim view of nonconvex optimization algorithms due to their susceptibility to spurious local minima, simple iterative methods such as gradient descent have been remarkably successful in practice. The theoretical footings, however, […]
Abstract: Quadrotors and multirotors in general are common in many inspection and surveillance applications. For these applications, visual-inertial odometry is a common way to localize the vehicles and observe the environment. However, unlike with wheeled mobile robots, quadrotor localization algorithms often do not use knowledge of the control inputs and the full vehicle dynamics as […]
Our group at the University of Minnesota focuses on fundamental advances in numerical algorithms, and understanding of flow physics that allow the prediction of engineering turbulent flows. This presentation will discuss key aspects of such simulation alongside illustrative examples. We will discuss a recently developed unstructured overset grid methodology and its application to particle-resolved DNS […]
Abstract : Optically active spins in solids offer exciting opportunities as scalable and feasible quantum-optical devices. Numerous material platforms including diamond, semiconductors, and atomically thin 2d materials are under investigation, where each platform brings some advantages of control and feasibility along with other challenges. The inherently mesoscopic nature of solid-state platforms leads to a multitude of […]
Abstract: The ability to integrate dissimilar materials with different crystal structures and properties enables heterostructures to be developed with new functionality well beyond the normal band gap engineering offered by semiconductor heterostructures. The combination of metals, semiconductors, insulators, magnetic, piezoelectric, structural and phase change materials offers the potential for nearly limitless control of device properties. […]