• Omni SCADA intrusion detection 

  Gao, Jun (2020-05-11)

  We investigate deep learning based omni intrusion detection system (IDS) for supervisory control and data acquisition (SCADA) networks that are capable of detecting both temporally uncorrelated and correlated attacks. ...
• Performance analysis of Point-to-Multi-Point (P2MP) Hybrid FSO/RF network 

  Boharba, Alwa Mohamed (2020-05-05)

  In this thesis, we present a detailed analysis of hybrid point-to-multipoint free space optical (FSO)/radio frequency (RF) wireless system. Hybrid FSO/RF sys- tems have emerged as a promising solution for high data rate ...
• Efficient sensor array subsampling for plane-wave ultrasound imaging 

  Marzougui, Houssem (2020-05-05)

  Ultrafast plane-wave ultrasound imaging offers very high frame rates (exceeding thousands of frames per second) but entails large volumes of backscattered data collected by a sensor array over multiple plane-wave emissions ...
• Coarsely quantized Massive MU-MIMO uplink with iterative decision feedback receiver 

  Zhang, Zeyang (2020-05-04)

  Massive MU-MIMO (Multiuser-Multiple Input and Multple Output) is a promising technology for 5G wireless communications because of its spectrum and energy efficiency. To combat the distortion from multipath fading channel, ...
• An integrated nanoaperture optical-fiber tweezer for developing single-photon sources 

  Ehtaiba, Jamal Mehemed (2020-05-04)

  In this thesis, an approach for developing single-photon sources at the 1550nm wavelength will be demonstrated, based on optical trapping of luminescent upconverting nanoparticles. A single-photon source is a source that ...
• Phase unwrapping by N-connected TRW-S algorithm for InSAR images 

  Movahed, Mehrnaz (2020-04-17)

  Synthetic aperture radar (SAR) data has been an interesting subject to study and investigate for researchers. One of the applications of SAR data is obtaining interferometry synthetic aperture radar (InSAR) images [1]. ...
• Evaluating and enhancing the security of cyber physical systems using machine learning approaches 

  Sharma, Mridula (2020-04-08)

  The main aim of this dissertation is to address the security issues of the physical layer of Cyber Physical Systems. The network security is first assessed using a 5-level Network Security Evaluation Scheme (NSES). The ...
• Automated event prioritization for security operation center using graph-based features and deep learning 

  Jindal, Nitika (2020-04-06)

  A security operation center (SOC) is a cybersecurity clearinghouse responsible for monitoring, collecting and analyzing security events from organizations’ IT infrastructure and security controls. Despite their popularity, ...
• Fixed-point hardware design for CPWC image reconstruction 

  Shi, Ji (2020-03-27)

  Coherent plane-wave compounding (CPWC) ultrasonography is an important imaging modality that allows for very high frame rates. During CPWC image reconstruction, computationally expensive delay-and-sum beamforming can be ...
• Automated event prioritization for security operation center using graph-based features and deep learning 

  Jindal, Nitika (2020-03-17)

  A security operation center (SOC) is a cybersecurity clearinghouse responsible for monitoring, collecting and analyzing security events from organizations’ IT infrastructure and security controls. Despite their popularity, ...
• Trapping and plasmon-enhanced emission from a single upconverting nanocrystal 

  Alizadehkhaledi, Amirhossein (2020-03-17)

  Plasmonics has been used to increase the interaction of an emitter and light. This enhancement can be achieved by using plasmonic resonators at the emission and/or absorption wavelengths of the emitter. This dissertation ...
• Spectroscopic analysis of samples in aqueous environments using a hollow core fiber 

  Adike, Akshara (2020-03-04)

  This thesis details the procedure and the results of Raman spectroscopy obtained for graded concentrations of aqueous samples passing through the core of a stand alone hollow core fiber(HCF). Also, spectroscopic analysis ...
• Bright upconverted emission from light-induced inelastic tunneling 

  Rakhmatov, Eradzh (2020-01-27)

  Upconverted light from nanostructured metal surfaces can be produced by harmonic generation and multi-photon luminescence; however, these are weak processes and require extremely high field intensities to produce a measurable ...
• Hypervisor-based cloud anomaly detection using supervised learning techniques 

  Nwamuo, Onyekachi (2020-01-23)

  Although cloud network flows are similar to conventional network flows in many ways, there are some major differences in their statistical characteristics. However, due to the lack of adequate public datasets, the proponents ...
• Secure and lightweight authentication schemes for Internet of Things (IoT) 

  Alshahrani, Mohammed M. (2019-12-04)

  IoT platforms face huge challenges in deploying robust authentication mechanisms due to the fact that edge devices and resource-constrained devices may not have enough compute and storage capabilities to deploy and run ...
• Advanced techniques for improving radar performance 

  Shoukry, Mohammed Adel (2019-12-03)

  Wideband beamforming have been widely used in modern radar systems. One of the powerful wideband beamforming techniques that is capable of achieving a high selectivity over a wide bandwidth is the nested array (NA) beamformer. ...
• A framework for data loss prevention using document semantic signature 

  Alhindi, Hanan (2019-11-22)

  The theft and exfiltration of sensitive data (e.g., state secrets, trade secrets, company records, etc.) represent one of the most damaging threats that can be carried out by malicious insiders against institutions and ...
• Two dimensional cellular automata and pseudorandom sequence generation 

  Sh, Umer Khayyam (2019-11-13)

  Maximum linear feedback shift registers (LFSRs) based on primitive polynomials are commonly used to generate maximum length sequences (m-sequences). An m-sequence is a pseudorandom sequence that exhibits ideal randomness ...
• Analysis of algorithms for filter bank design optimization 

  ElGarewi, Ahmed (2019-09-06)

  This thesis deals with design algorithms for filter banks based on optimization. The design specifications consist of the perfect reconstruction and frequency response specifications for finite impulse response (FIR) ...
• Multi-label classification with optimal thresholding for multi-composition spectroscopic analysis 

  Gan, Luyun (2019-08-30)

  Spectroscopic analysis has several applications in physics, chemistry, bioinformatics, geophysics, astronomy, etc. It has been widely used for detecting mineral samples, gas emission, and food volatiles. Machine learning ...

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