ECE Faculty Seminar: Sumientra Rampersad

Faculty Seminar: Is temporal interference the key to noninvasive deep brain stimulation? Answers from simulation studies in mice and humans. Sumientra Rampersad Location: Zoom Link Abstract: Transcranial current stimulation (tCS) has been used for two decades to noninvasively investigate and influence brain function in both healthy volunteers and clinical populations. While many positive effects have […]

ECE PhD Proposal Review: Siyue Wang

PhD Proposal Review: Towards Robust and Secure Deep Learning Models and Beyond Siyue Wang Location: Zoom Link Abstract: Modern science and technology witness the breakthroughs made by deep learning during the past decades. Fueled by rapid improvements of computational resources, learning algorithms, and massive amount of data, deep neural networks (DNNs) have played a dominant […]

ECE MS Thesis Defense: Daniel Uvaydov

MS Thesis Defense titled DeepSense: Fast Wideband Spectrum Sensing Through Real-Time In-the-Loop Deep Learning Daniel Uvaydov Location: Microsoft Teams Abstract: Spectrum sharing will be a key technology to tackle spectrum scarcity in the sub-6 GHz bands. To fairly access the shared bandwidth, wireless users will necessarily need to quickly sense large portions of spectrum and […]

ECE PhD Dissertation Defense: Mohammad Hossein Hajkazemi

PhD Dissertation Defense: High-performance Translation Layers for Cloud Immutable Storage Mohammad Hossein Hajkazemi Location: Zoom Link Abstract: Most storage interfaces support in-place updates: blocks can be rewritten, files can be modified at byte granularity, fields may be updated in database table rows. Yet internally these layers often rely on out-of-place (immutable) writes. In some cases, […]

PhD Dissertation Defense: Kunpeng Li

PhD Dissertation Defense: Visual Learning with Limited Supervision Kunpeng Li Location: Zoom Link Abstract: Deep learning models have achieved remarkable success in many computer vision tasks. However, they typically rely on large amounts of carefully labeled training data whose annotating process is usually expensive, time-consuming and even infeasible when considering the task complexity and scarcity […]

ECE PhD Proposal Review: Mehdi Nasrollahpourmotlaghzanjani

PhD Proposal Review: RFICs for Biomedical Magnetic and Magnetoelectric Microsystems Mehdi Nasrollahpourmotlaghzanjani Location: Zoom Links Abstract: Design and analysis of the advanced biomedical circuit and systems in wide variety of applications has emerged a significant interest. Not only in different engineering disciplines, but also in a variety of applications such as neuroscience, COVID-19, etc. In […]

ECE PhD Dissertation Defense: Yumin Liu

PhD Dissertation Defense: Learning from Spatio-Temporal Data with Applications in Climate Science Yumin Liu Location: Zoom Link Abstract: Climate change is one of the major challenges to human beings and many other species in our time. In the recent decade, the number of disasters related to climate change such as wildfires, storms, floods and droughts […]

ECE PhD Dissertation Defense: Lorenzo Bertizzolo

PhD Dissertation Defense: Software-Defined Wireless Networking for 5G and Beyond: From Indoor Cells to Non-Terrestrial UAV Networks Lorenzo Bertizzolo Location: Microsoft Teams Abstract: While Software-defined Networking (SDN) is a consolidated and widely adopted concept in fixed infrastructure, its adoption to the wireless domain has been limited by some fundamental challenges. Unlike traditional fixed infrastructure, which […]

ECE PhD Proposal Review: Andac Demir

PhD Proposal Review: Automated Bayesian Network Exploration for Nuisance-Robust Inference Andac Demir Location: Zoom Link Abstract: A fundamental challenge in the analysis of physiological signals is learning useful features that are robust to nuisance factors e.g., inter-subject & inter-session variability, and achieve the highest nuisance-invariant classification performance. Towards resolving this problem, we introduce 2 frameworks: […]

PhD Proposal Review: Bernard Herrera

PhD Proposal Review: Ferroelectric Micromachined Ultrasonic Transducers for Intra-body and In-memory Sensing Applications Bernard Herrera Location: Teams Abstract: Piezoelectric Micromachined Ultrasonic Transducers (PMUTs) are Micro Electro-Mechanical Systems (MEMS) devices that have become an established technology in applications such as range-finding, fingerprint sensing and imaging due to their capability of ultrasonic transduction in a miniaturized footprint, […]