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Summary of PhD Program: This project will develop data assimilation for high-fidelity flow-field reconstruction using LAT. Data assimilation (DA) algorithms seek to solve the equations governing fluid motion subject to databased constraints. Instead of training an end-to-end neural network using simulated data, DA algorithms integrate ground-true physics, into the network, so call physics-informed neural network. […]

Summary of PhD Program: The project aims at building accelerators based on Field Programmable Gate Arrays (FPGAs) and suitable to deliver computer vision tasks through Generative AI. Generative Adversarial Networks (GANs) based on Convolutional Neural Networks (CNNs) are promising candidates in this direction: they exploit adversarial learning and feature extraction to execute a multitude of […]

Summary of PhD Program: This PhD project aims to address this challenge by developing integrated fabrication techniques that embed sensing technologies directly into soft robotic structures. By combining expertise in flexible electronics, advanced materials, and 3D-printing-based fabrication methods, this project will enable the creation of multifunctional soft robotic systems with enhanced sensing capabilities. These systems […]

Summary of PhD Program: The overall aim of this PhD project is to identify and develop governing principles of wetting and interfacial forces of biomolecular condensates in biological cells, which we broadly term as intracellular capillarity. Key questions to be addressed in the project can include: 1) how can we infer material properties of biomolecular […]

Summary of PhD Program: The project aims at building large-scale AI accelerators for Large Language Models (LLMs), with a specific focus on Transformers. Diverse hardware optimization techniques can be used, targeting a scalable tile-based Tensor Processing Units (TPUs) engine with massive on-chip global buffers for data-stationary. Systolic Array (SA) architectures with novel spatial dataflows will […]

Application Deadline: December 1, 2024. Applications are now open for the 2025/2026 Knight-Wallace Journalism Fellowship. The Knight-Wallace Fellowships offer accomplished journalists two rare commodities: time and resources. Journalists eager for growth and deeply committed to the future of journalism spend an academic year at the University of Michigan to access the resources of a world-class university and dive into […]