• Security Through Frequency Diversity in The 5G NR Standard 

  Weitz, Joshua D

  This thesis explores the use of pseudo-random frequency hopping for added security in the 5G New Radio specification. Frequency hopping makes it more difficult for an attacker to intercept, detect, or jam a wireless ...
• Random Matrix Theory Models for Predicting Dominant Mode Rejection Beamformer Performance 

  Hulbert, Christopher (2022)

  Adaptive beamformers (ABFs) use a spatial sample covariance matrix (SCM) that is estimated from data snapshots, i.e., temporal samples from each sensor, to mitigate directional interference and attenuate uncorrelated noise. ...
• Towards Designing Reliable and Efficient Millimeter-Wave Wireless LANS 

  Zhang, Ding (2022)

  With the increasing amount of mobile data and the demand for high data rates, current 2.4GHz/5GHz wireless local area networks (WLANs) are facing the problem of limited capacity. Millimeter-wave (mmWave) networks with ...
• Towards Flood Resilience in Large Metropolitan Areas: Real-time Flood Forecast and Planning for Climate Uncertainty 

  de Almeida Coelho, Gustavo (2022)

  Urban floods generated by heavy and short-duration rainfall are a major concern in urban areas due to their potential socioeconomic impacts and threat to life. Moreover, such threats are expected to continue with increasing ...
• A Statistical Approach to Point Cloud Analysis for Infrastructure Assessment 

  Graves, William (2022)

  Engineers implement structural health monitoring and nondestructive evaluation techniques to effectively assess the status and safety of civil infrastructure. In addition to the financial cost, the logistical burden involved ...
• Measuring Attention, Working Memory and Visual Perception to Reduce the Risk of Injuries in the Construction Industry 

  Aroke, Olugbemi M.

  The construction industry has consistently held one of the highest injury rates among all sectors and failure to recognize hazards due to poor selective attention, cognitive overload, and distractibility have been identified ...
• NextG MEC Coordinated Resilient Cyber-Physical System Services 

  Jha, Santos

  Cyber-physical systems fueled by NextG are rapidly adopted to sense, compute, control, and network the underlying physical system. However, components in different domains have different processing, network bandwidth, ...
• Designing Efficient Fraud Behavior Detection Method Based on Linguistic and Knowledge-guided Features for Online Recruitment Fraud 

  AlQurashi, Asmaa Mohammed A

  Research in topics such as fraud detection and prevention have received a lot of attention in the past few years, especially in the field of online recruitment systems. This surge in research activity can be attributed ...
• Performance-Aware Coarse-Grained Reconfigurable Logic Accelerator for Deep Learning Application 

  Mercado Rejas, Katherine

  Deep neural networks (DNNs) are widely deployed in various cognitive applications including computer vision, speech recognition, and image processing. The surpassing accuracy and performance of deep neural networks come ...
• Structural Analysis of Reinforced Concrete Columns Subjected to Underwater Explosions 

  Sanders, Jacob

  This thesis presents a study on structural modeling of reinforced concrete (RC) columns subjected to underwater explosions (UNDEX). With the heightened tensions stemming from warfare as well as accidents such as gas ...
• Scalable Methods for Modeling Dynamic Spatio-Temporal Data 

  Hsu, Yu-Lin

  Hierarchical spatio-temporal models have been developed to model complex datasets exhibiting spatio-temporal (ST) autocorrelation; however, many of these models are purely descriptive and do not explicitly model the ...
• Auditability in Blockchain Systems Using Cryptographic Protocols 

  Chatzigiannis, Panagiotis (2022)

  Enforcement of policy regulations and availability of auditing mechanisms are crucial building blocks for the adoption of distributed payment systems. In this thesis we provide a series of proposals towards implementing ...
• Resource Allocation and Performance Guarantees in Communication Networks 

  Kordi Boroujeny, Massieh (2022)

  One of the main challenges in modern communication networks, like the Internet, is providing performance guarantees, such as bounds on end-to-end delay, while avoiding underutilization of the network resources. In the early ...
• Analyzing Accidents Among Specialty Contractors: a Data Mining Approach 

  Gholizadeh, Pouya (2022)

  Despite technological and regulatory improvements and plentiful research in occupational safety, construction has remained one of the most dangerous industries in the U.S. and around the world. This is mainly due to many ...
• Electrical Characterization of Graphene Chemical Sensors 

  Nah, JongBong (2022)

  Chemiresistive graphene sensors are promising for chemical sensing applications due to their simple device structure, high sensitivity, potential for miniaturization, low-cost, and fast response. The graphene films used ...
• Adaptive Bayesian Covariate Dependent Spectral Analysis of Multiple Time Series 

  Wang, Yakun (2022)

  The frequency-domain properties of time series have been found to contain valuable information in many studies. It is often the case that biomedical time series are collected from multiple participants in conjunction with ...
• Securing The Hardware System Stack: Hardware to Software Layers 

  Dhavlle, Abhijitt (2022)

  Computing systems have come a long way concerning speed, performance, optimization,and security. The state-of-the-art designs are deployed in the real world, targeting a variety of applications. The hardware security domain ...
• Applied Computational Geometry for Smoothed Particle Hydrodynamics 

  Jones, Van Savitri (2022)

  Smoothed Particle Hydrodynamics (SPH) is a Computational Fluid Dynamics method that has significantly increased in capability in recent years. The advent of general-purpose computing on graphics processing units (GPGPU) ...
• Ultrasound Based Measures of Muscle Fatigue and Recovery After Electrical Muscle Stimulation 

  Majdi, Joseph (2022)

  Electrical muscle stimulation (EMS) can restore or increase function in skeletal muscle by stimulating motor neurons through adhesive skin electrodes, which can greatly increase the quality of life for those suffering from ...
• Structural Break Detection for Geostatistical Data 

  Zhou, Weiyu (2022)

  This thesis proposes a method for investigating structural breaks in a non-stationary spatial random field and provide a piecewise stationary approximation that best describes the process. Suppose a random field is observed ...

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