PhD Dissertation Defense: Enhancing Monte Carlo Light Modeling Methods for the Development of Near-infrared Based Brain Techniques Yaoshen Yuan Location: Zoom Link Abstract: Studying light propagation in biological tissues is critical for developing biophotonics techniques and its applications. Monte Carlo (MC) method, a stochastic solver for radiative transfer equation, has been recognized as the gold […]
PhD Dissertation Defense: RF Magnetoelectric Microsystems Xianfeng Liang Location: Zoom Link Abstract: Multiferroic materials are the materials that inherently exhibit two or more ferroic properties, such as ferroelectricity, ferromagnetism and ferroelasticity, etc. Magnetoelectric (ME) materials with coupled magnetization and electric polarization have attracted intense interests recently due to the realization of strong ME coupling and […]
PhD Proposal Review: Towards Efficient Deep Neural Network Execution with Model Compression and Platform-specific Optimization Xiaolong Ma Location: Zoom Abstract: Deep learning or deep neural networks (DNNs) have become the fundamental element and core enabler of ubiquitous artificial intelligence. Recently, with the emergence of a spectrum of high-end mobile devices, many deep learning applications that […]
PhD Dissertation Defense: Can We Trust AI? Towards Practical Implementation and Theoretical Analysis in Trustworthy Machine Learning Kaidi Xu Location: Zoom Link Abstract: Deep learning has achieved extraordinary performance in many application domains recently. It has been well accepted that DNNs are vulnerable to adversarial attacks, which raises concerns of DNNs in security-critical applications and […]
PhD Dissertation Defense: Active Resource Partitioning and Planning for Storage Systems using Time Series Forecasting and Machine Learning Techniques Maher Kachmar Location: Zoom 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 leading […]
PhD Dissertation Defense: An Analysis of Algorithms with Discrete Choice Models Berkan Kadioglu Location: Zoom Link Abstract: In the first half of our work, we consider a rank regression setting, in which a dataset of $N$ samples with features in $\mathbb{R}^d$ is ranked by an oracle via $M$ pairwise comparisons. Specifically, there exists a latent […]
PhD Dissertation Defense: Low-Power Integrated Circuit Design for Wireless Devices in the Internet of Things Mahmoud Ibrahim Location: Zoom Abstract: Numerous integrated sensing devices are under development for wireless medical diagnostic and monitoring applications. However, the data rates of wireless devices connected to the Internet of Things are limited and strongly depend on the available […]
PhD Proposal Review: Circular-Symmetric Correlation Layer based on FFT Bahare Azari Location: Zoom Link Abstract: Planar convolutional neural networks, widely known as CNNs, have been exceptionally successful in many computer vision and machine learning tasks, such as object detection, tracking, and classification. The convolutional layers in CNN are characterized by pattern-matching filters that can identify […]
PhD Proposal Review: High Sensing-capacity Multi-dimensional-coded Millimeter-wave MIMO Imaging System Weite Zhang Location: Microsoft Teams Link Abstract: Millimeter-wave (mm-wave) MIMO imaging systems have been explored to use more and more complicated radar waveforms to achieve advanced multiplexing and high-performance imaging. As the complexity of the radar waveform increases, conventional systems inevitably suffer from higher design […]
PhD Dissertation Defense: Deep Convolutional Neural Network for Image Restoration and Synthesis Yulun Zhang Location: Zoom Link Abstract: Image restoration and synthesis with deep learning play a fundamental role in the computer vision community. They are widely used on mobile devices (e.g., smartphones) or lead to billion-dollar startups. However, how to design efficient deep convolutional […]