PhD Dissertation Defense: Integrated RF Devices Based on Magnetoelectric Coupling Huaihao Chen Location: Zoom Meeting Abstract: The magnetoelectric (ME) coupling effect is a coupling behavior between the magnetic properties and […]
You’ve created something interesting and exciting in the lab, published a few papers and maybe filed some patents and are wondering what to do next. Mike Fuerstman and Becky Wilson […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]