Location: ISEC 138 Multidimensional Signal Processing Circuits for Low-SWaP Multi-Beam Arrays Abstract: In this talk, array processing circuits that exploit the computing paradigm of approximate computing are explored. Low-size, -weight, and -power consumption (SWaP) algorithms and circuits are proposed to achieve thousands of fully-digital beams for emerging applications. The proposed low-SWaP multibeam digital beamformers use […]
Location: ISEC 136 Rethinking Operating System and Hardware Abstractions for Good and Evil Abstract: Current hardware and operating system abstractions were conceived at a time when we had minimal security threats, scarce compute and memory resources and limited numbers of users. These assumptions are not true today. On one hand, attacks such as Spectre and […]
Philip Krein, Executive Dean, Zhejiang University/University of Illinois at Urbana-Champaign Institute Overview: Come learn about the many open faculty positions at a new campus in China (bring resumes!). The Zhejiang University/University of Illinois at Urbana-Champaign Institute (ZJUI) is a joint engineering college on the new Zhejiang University (ZJU) International Campus in Haining, China, about 120 […]
Location: ISEC 138 Learning with Distributed Systems: Adversary-Resilience and Neural Networks Abstract: In this talk, Su will first talk about how to secure Federated Learning (FL) against adversarial faults. FL is a new distributed learning paradigm proposed by Google. The goal of FL is to enable the cloud (i.e., the learner) to train a model […]
Location: Dana 442 Seminar Title: A More Resilient Power Grid with Faster-Than-Real-Time Stability Abstract: Since the northeast blackout of 1965, cascading blackouts have continued to happen on power grids in the North America and other countries. For a grid operator, it is vitally important to be aware of real-time stability and reliability margin for the […]
PhD Defense: Efficient Data Access with Heterogeneous Computing using GPUs and Direct Non-volatile Storage. Mahsa Bayati Location: Zoom Link Abstract: The amount of data being collected that requires analysis is growing at an exponential rate. Along with this growth comes an increasing need for storage and computation. Researchers address these needs by (I) deploying distributed bigdata […]
PhD Proposal Review: Interpretable Machine Learning for Retinopathy of Prematurity Muhamed Yildiz Location: Zoom Link Abstract: Retinopathy of Prematurity (ROP), a leading cause of childhood blindness, is diagnosed by clinical ophthalmoscopic examinations or reading retinal images. Plus disease, defined as abnormal tortuosity and dilation of the posterior retinal blood vessels, is the most important feature […]
PhD Proposal Review: Content-Aware Design Assistance Frameworks for Graphic Design Layouts Sara Banian Location: Zoom Link Abstract: Layout is an important visual communication factor in graphic design that encompasses a page's overall composition. During the different design stages, designers express their requirements through images describing the interface’s visual layout, hierarchical structure, and content. They create […]
PhD Proposal Review: Active Resource Partitioning and Planning for Storage Systems using Time Series Forecasting and Machine Learning Techniques Maher Kachmar Location: Zoom Link Abstract: In today's enterprise storage systems, supported data services such as snapshot delete or drive rebuild can result in tremendous performance overhead if executed inline along with heavy foreground IO, often […]
PhD Proposal Review: Explainable Efficient Models for Computer Vision Applications Wenqian Liu Location: Zoom Link Abstract: State of the art deep learning based models, such as Convolutional Neural Networks (CNNs) and generative models, achieve impressive results, but with their great performance comes great complexity and opacity, huge parametric spaces and little explainability. The criticality of […]