PhD Dissertation Defense: Improving the Virtual Memory Efficiency of GPUs Trinayan Baruah Location: Zoom Link Abstract: GPUs have been adopted widely based their ability to exploit data-level parallelism found in modern-day applications, ranging from high performance computing to machine learning. This widespread adoption has, in part, been accelerated by the development of more intuitive high-level […]
PhD Dissertation Defense: The Perils of Shared Computing: A Hardware Security Perspective Majid Sabbagh Location: Microsoft Teams Link Abstract: Modern processors and hardware accelerators, in the cloud or on the edge, are capable of running multiple workloads from different users concurrently. Despite software techniques for security such as virtualization and containers, a new attack surface […]
PhD Dissertation Defense: Fractional Order Derivative in Circuits, Systems, and Signal Processing with Specific Application to Seizure Detection Ala Tokhmpash Location: Zoom Link Abstract: Epilepsy is a chronic brain disease that affects around 50 million people worldwide. This disease is characterized by recurrent seizures, which are brief episodes of involuntary movement that may involve a […]
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 […]
College of Engineering PhD students are invited to join us for a writing retreat July 20 – 22. The aim of this retreat is to create sustained writing time for researchers to work in a calm, supportive environment on a longer project. Studies have shown that an academic writing retreat supports productivity and progress while […]