• ECE PhD Proposal Review: Ramtin Khalili

    PhD Proposal Review: Efficient State and Parameter Estimation in Three-Phase Power Systems Ramtin Khalili Location: Microsoft Link Abstract: As the number of renewable energy sources, bulk energy storage systems, and non-conventional loads increase and connect to the power grid not only at transmission but also sub-transmission and distribution levels, three-phase unsymmetrical network monitoring becomes necessary […]

  • ECE PhD Proposal Review: Jared Miller

    PhD Proposal Review: Nonlinear and Time-Delay Systems Analysis using Occupation Measures Jared Miller Location: Zoom Link Abstract: Techniques to analyze nonlinear systems include peak and reachable set estimation. The reachable set of a system is the set of states accessible by trajectories of a dynamical system at specified times given initial conditions. The peak estimation […]

  • Electrical & Computer Engineering

    Please join faculty and graduate admissions staff at a webinar discussing the Electrical and Computer Engineering departmental program offerings and experiential learning opportunities in the Graduate School of Engineering.

  • ECE PhD Proposal Review: Cooper Loughlin

    PhD Proposal Review: Unsupervised Machine Learning Approaches to Sequential Data Analysis Cooper Loughlin Location: Remote Abstract: Analysis of sequential data is central to many fields of science and engineering. Often, sequences are collections of observations made over time and space with little or no contextual information. The goal of analysis may be to evaluate relationships, […]

  • ECE PhD Proposal Review: Sara Garcia Sanchez

    PhD Proposal Review: Learning and Shaping the Wireless Environment: An Integrated View of Sensing, Computing and Communication Sara Garcia Sanchez Location: TBA Abstract: The explosive growth in Internet of Things (IoT) deployments and anticipated data volumes that will be generated within future autonomous vehicles require collecting and processing large amounts of data, generally transmitted over […]

  • ECE PhD Proposal Review: Sara Garcia Sanchez

    PhD Proposal Review: Learning and Shaping the Wireless Environment: An Integrated View of Sensing, Computing and Communication Sara Garcia Sanchez Location: Microsoft Teams Abstract: The explosive growth in Internet of Things (IoT) deployments and anticipated data volumes that will be generated within future autonomous vehicles require collecting and processing large amounts of data, generally transmitted […]

  • ECE PhD Dissertation Defense: Kai Li

    PhD Dissertation Defense: Reconfigurable and Intelligent Wireless Charging Surfaces Kai Li Location: 232 ISEC Abstract: Reconfigurable intelligent surfaces (RISs) have received significant attention for theirpotential to transform the environments by intelligently reconfiguring the surfaces, infrastructures,and engineering the electrical and magnetic fields. On the other hand, while wireless power transfer has advanced, there has been limited […]

  • ECE PhD Dissertation Defense: Flavius Pop

    PhD Dissertation Defense: Intrabody Communication for Real-Time Monitoring of Implanted Medical Devices based on Piezoelectric Micromachined Ultrasonic Transducers Flavius Pop Location: Zoom Link Abstract: Nowadays when we think about medical devices and patient monitoring, we can easily imagine ourselves laying down in a hospital bad, wires coming out of everywhere, and being looked after by […]

  • ECE PhD Proposal Review: Zulqarnain Qayyum Khan

    PhD Proposal Review: Interpretable Machine Learning for Affective Neuroscience and Psychophysiology Zulqarnain Qayyum Khan Location: Zoom Link Abstract: In this thesis, we leverage Machine Learning to investigate questions of interest in affective psychophysiology and neuroscience . We argue for and apply appropriate existing methods where possible and analyze the results they provide. Where existing methods […]

  • ECE PhD Proposal Review: Tong Jian

    PhD Proposal Review: Robust Sparsified Deep Learning Tong Jian Location: Zoom Link (ID: 75807284369, Passcode: 463BXOZk) Abstract: In this thesis, we investigate and address robustness concerns about DNN-based real-life applications on resource constrained systems, environment adaptation, and adversarial learning, respectively. We propose a means of compressing a Radio Frequency (RF) deep neural network architecture through […]