Browsing by Department "Electrical and Computer Engineering"
Now showing items 21-40 of 390
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Adaptive Planning in Changing Policies and Environments
(2023)Being able to adapt to different tasks is a staple of learning, as agents aim to generalize across different situations. Specifically, it is important for agents to adapt to the policies of other agents around them. In swarm ... -
Advanced Metamaterials for Beamforming and Physical Layer Processing
(2023)The design and characterization of electromagnetic metamaterial structures and their constituent subwavelength metamaterial elements are presented. The proposed structures can be employed in beamforming and physical layer ... -
Advancing the Design and Utility of Adversarial Machine Learning Methods
(2021)While significant progress has been made to craft Deep Neural Networks (DNNs) with super-human recognition performance, their reliability and robustness in challenging operating conditions is still a major concern. In this ... -
Algorithm-hardware co-optimization for neural network efficiency improvement
(2020)Deep neural networks (DNNs) are tremendously applied in the artificial intelligence field. While the performance of DNNs is continuously improved by more complicated and deeper structures, the feasibility of deployment on ... -
An Information-Theoretic Analysis of X-Ray Architectures for Anomaly Detection
(2018)X-ray scanning equipment currently establishes a first line of defense in the aviation security space. The efficacy of these scanners is crucial to preventing the harmful use of threatening objects and materials. In this ... -
Analytic Model, Design of Waveguide-fed Metasurface Antennas and Applications to MIMO Communication Systems
(2020)This dissertation focuses on the analytic model and design of waveguide-fed meta- surface antennas using the coupled-dipole method. In particular, it is demonstrated that the coupled-dipole method can be combined with models ... -
Analytical Modeling of Waveguide-fed Metasurfaces for Microwave Imaging and Beamforming
(2018)A waveguide-fed metasurface consists of an array of metamaterial elements excited by a guided mode. When the metamaterial elements are excited, they in turn leak out a portion of the energy traveling through the waveguide ... -
Anomaly-Detection and Health-Analysis Techniques for Core Router Systems
(2018)A three-layer hierarchy is typically used in modern telecommunication systems in order to achieve high performance and reliability. The three layers, namely core, distribution, and access, perform different roles for service ... -
Appearance-based Gaze Estimation and Applications in Healthcare
(2020)Gaze estimation, the ability to predict where a person is looking, has become an indispensable technology in healthcare research. Current tools for gaze estimation rely on specialized hardware and are typically ... -
APPLICATION OF ACOUSTIC METAMATERIALS IN AUDIO SYSTEMS
(2023)Audio systems have become an integral part of our daily lives, transforming the way we hear sound in a myriad of applications, including TV, cinema, laptops, mobile phones, and even AR/VR sets. However, although there have ... -
Application of Stochastic Processes in Nonparametric Bayes
(2014)This thesis presents theoretical studies of some stochastic processes and their appli- cations in the Bayesian nonparametric methods. The stochastic processes discussed in the thesis are mainly the ones with independent ... -
Applied Millimeter Wave Radar Vibrometry
(2023)In this dissertation, novel uses of millimeter-wave (mmW) radars are developed and analyzed. While automotive mmW radars have been ubiquitous in advanced driver assistance systems (ADAS), their ability to sense motions at ... -
Applying Machine Learning to Testing and Diagnosis of Integrated Systems
(2021)The growing complexity of integrated boards and systems makes manufacturing test and diagnosis increasingly expensive. There is a pressing need to reduce test cost and to pinpoint the root causes of integrated systems in ... -
Attack Countermeasure Trees: A Non-state-space Approach Towards Analyzing Security and Finding Optimal Countermeasure Set
(2010)Attack tree (AT) is one of the widely used non-statespacemodels in security analysis. The basic formalism of ATdoes not take into account defense mechanisms. Defense trees(DTs) have been developed to investigate the effect ... -
Automated Test Grading and Pattern Selection for Small-Delay Defects
(2009)Timing-related defects are becoming increasingly important in nanometer-technology integrated circuits (ICs). Small delay variations induced by crosstalk, process variations, power-supply noise, as well as resistive opens ... -
Automatic Behavioral Analysis from Faces and Applications to Risk Marker Quantification for Autism
(2018)This dissertation presents novel methods for behavioral analysis with a focus on early risk marker identification for autism. We present current contributions including a method for pose-invariant facial expression recognition, ... -
Automatic Identification of Training & Testing Data for Buried Threat Detection using Ground Penetrating Radar
(2017)Ground penetrating radar (GPR) is one of the most popular and successful sensing modalities that has been investigated for landmine and subsurface threat detection. The radar is attached to front of a vehicle and collects ... -
Autonomous Robot Packing of Complex-shaped Objects
(2020)With the unprecedented growth of the E-Commerce market, robotic warehouse automation has attracted much interest and capital investment. Compared to a conventional labor-intensive approach, an automated robot warehouse brings ... -
Bayesian and Information-Theoretic Learning of High Dimensional Data
(2012)The concept of sparseness is harnessed to learn a low dimensional representation of high dimensional data. This sparseness assumption is exploited in multiple ways. In the Bayesian Elastic Net, a small number of correlated ... -
Bayesian Learning with Dependency Structures via Latent Factors, Mixtures, and Copulas
(2016)Bayesian methods offer a flexible and convenient probabilistic learning framework to extract interpretable knowledge from complex and structured data. Such methods can characterize dependencies among multiple levels of hidden ...
