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ESE & CIS Seminar: “Toward Power-Efficient Computing with Applied Inference”

Abstract: We require computers that extract value from exponential data growth even as exponential transistor scaling falters. With limited scaling, power and thermal density threaten performance. Architects must pursue power efficiency in design and management. My research group addresses these challenges by integrating systems architecture with statistical inference. First, we design systems by tailoring hardware […]

ESE PhD Thesis Defense: “Affordances and Control of a Spine Morphology for Robotic Quadrupedal Locomotion”

Abstract: How does a robot’s body affect what it can do? This talk explores this question with respect to a morphology common to biology but rare in robotics: the presence of a bendable back. Using the Canid and Inu quadrupedal robots, I describe and quantify several advantages afforded by this morphological design choice for legged […]

ESE Seminar: “Beyond Supervised Learning for Biomedical Imaging”

Abstract: Today, many biomedical imaging tasks, such as 3D reconstruction, denoising, detection, registration, and segmentation, are solved with machine learning techniques. In this talk, I will present a flexible learning-based framework that has allowed us to derive efficient solutions for a variety of such problems, without relying on heavy supervision. I will primarily employ image […]

ESE Seminar: “Management Strategies for Hyperscale Datacenters”

Abstract: Hyperscale datacenters provide critical infrastructure for the information economy, refining data to extract value. Sharing datacenters improves energy efficiency but whether strategic users participate depends on management policies. I address these challenges by integrating practical insights from computer architecture with rigorous methods in algorithmic economics and machine learning. I illustrate this approach for power allocation […]

ESE Thesis Defense: Zhe Xuan

Title: “Towards Advanced Photonic Integrated Systems through Electronic-Assisted Design” Abstract: Optical systems have applications ranging from traditional areas such as communication and spectroscopy to emerging fields such as quantum computing and cryptography. Bench-top optical systems, using free-space optics or fiber optics with standalone devices, have been successful. However, they tend to occupy a large space […]

ESE Thesis Defense: Cassiano Becker

Title: “Data-Driven Modeling, Analysis and Design of Networked Dynamical Systems with Applications in Neuroscience” Abstract: In this thesis, we provide contributions to the modeling, analysis and design of networked dynamical systems from a data-driven perspective. Our approach is grounded on the integration of concepts and tools from graph theory, control theory, optimization, and statistics. In […]

ESE Dissertation Defense: David Q. Sun

Title: “Understanding Coalition Dynamics in Multiparty Conflicts: An Agent-Based Approach with Multi-Objective Spatial Model” Abstract: Through this research, we explore the dynamics of coalition formation in multi-agent competitive games where each agent has its unique characteristics. We do so by constructing an abstract formal model, and a more complex agent-based model. In the broader context […]

ESE Seminar: “Enabling the SmartGrid with IoT Sensors and Edge-Cloud Analytics”

Abstract: Wireless sensors and edge-cloud analytics have the potential to gather and process vast amounts of data about the physical world, offering radical new insights about everything from critical infrastructure to interpersonal interactions. But designing, deploying, and operating geographically-distributed systems consisting a hierarchy of sensing, storage, compute, and communication elements raises interesting new challenges across […]

ESE Seminar: “Metasurface Computational Imaging”

Modern image sensors consist of systems of cascaded and bulky spherical optics for imaging with minimal aberrations. While these systems provide high-quality images, the improved functionality comes at the cost of increased size and weight. One route to reduce a system’s complexity is via computational imaging, in which much of the aberration correction and functionality […]

Sigma Aldrich Lecture: “Epitaxy by Design: Epitaxial Growth of Dissimilar Materials”

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. […]

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