• ECE PhD Dissertation Defense: Amirreza Farnoosh

    PhD Dissertation Defense: Unsupervised Learning of Low-Dimensional Dynamical Representations from Spatiotemporal Data Amirreza Farnoosh Location: Zoom Link Abstract: Ever-improving sensing technologies offer a fast and accurate collection of large-scale spatiotemporal data, recorded from multimodal sensors of heterogeneous natures, in various application domains, ranging from medicine and biology to robotics and traffic control. In this dissertation, […]

  • ECE MS Thesis Defense: Owen McElhinney

    MS Thesis Defense: On the Application of Spline Functions to Problems in Hyperspectral Imaging Owen McElhinney Location: Zoom Link Abstract: Hyperspectral Imaging (HSI) is a rapidly growing topic in the field of remote sensing. Hyperspectral cameras trade off a reduction in the spatial resolution of modern imaging for a higher spectral resolution. This allows for […]

  • ECE MS Thesis Defense: Hooman Barati Sedeh

    MS Thesis Defense: Space-Time Graphene Metasurfaces Hooman Barati Sedeh Location: Zoom Link Abstract: The unprecedented growth of the data exchanged between wireless devices and the rapid emergence of high-quality wireless services have raised the demand for communication bandwidth and data transmission rates. This has motivated the migration of wireless networks toward the utilization of carrier […]

  • ECE PhD Dissertation Defense: Mohammadreza Sharif

    PhD Dissertation Defense: Human-in-the-loop Prosthetic Robot Hand Control through Contextual Adaptation Mohammadreza Sharif Location: ISEC136 or Zoom Link Abstract: Despite fifty years of research on prosthetic robot hands, this technology is yet to be fully acknowledged by amputees as well as manufacturers, due to lack of robustness and intuitive control. Our goal is to enhance […]

  • ECE PhD Dissertation Defense: Pu Zhao

    PhD Dissertation Defense: Towards Robust Image Classification with Deep learning and Real-Time DNN Inference on Mobile Pu Zhao Location: Zoom Link Abstract:  As the rapidly increasing popularity of deep learning, deep neural networks (DNN) have become the fundamental and essential building blocks in various applications such as image classification and object detection. However, there are […]

  • ECE Teaching Presentation: Mohammad Fanaei

    Title: Introduction to Python Programming with Applications in Computational Problem Solving. Mohammad Fanaei Location: Zoom Link Abstract: Python is a high-level, interpreted programming language, which supports multiple programming paradigms, including functional and object-oriented programming. In this introductory learning conversation, we will introduce the conditional execution of code, loops, and function definitions in Python. We will then apply the […]

  • ECE MS Thesis Defense: Hafiyya Malik

    MS Thesis Defense: Studies for Improving Multi-channel Confocal Fluorescence Imagining in a Multi-modal Microscope Hafiyya Malik Location: Zoom Link Meeting ID: 988 8423 1362 Passcode: 399185 Abstract: The goal of this engineering thesis was to implement confocal fluorescence microscopy in an upgraded legacy electro-optical microscopy system for characterization of the viability of cells in biofilms. […]

  • ECE PhD Dissertation Defense: Apoorve Mohan

    PhD Dissertation Defense: Rethinking the Choice between Static and Dynamic Provisioning for Centralized Bare-Metal Deployments Apoorve Mohan Location: Zoom Link Abstract: Technological inertia leads many organizations to continue to employ static provisioning strategies for bare-metal deployments. This results in architectural and runtime inefficiencies. However, most performance and security-sensitive organizations currently employ static provisioning strategies to […]

  • ECE PhD Proposal Review: Keng Chen

    PhD Proposal Review: Design of Accurate and Responsive Power Management Integrated Circuits for Microprocessor Systems Keng Chen Location: Zoom Link Abstract: As technology improves, the processors used in data centers are becoming increasingly powerful. Since the number of complementary metal-oxide semiconductor (CMOS) transistors integrated into these processors continues to rise, it becomes more challenging to […]

  • ECE PhD Proposal Review: Nikita Mirchandani

    PhD Proposal Review: Ultra-Low Power and Robust Analog Computing Circuits and System Design Framework for Machine Learning Applications Nikita Mirchandani Location: Zoom Link Abstract: As the scaling of CMOS transistors has almost halted, performance gains of digital systems have also started to stagnate. There is a renewed interest in alternate computing techniques such as in-memory […]