Theses - Department of Electrical and Electronics Engineering
Faculty of Engineering
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Electrically tunable plasmon induced transparency in hybrid metal-graphene structures
(Bilkent University, 2018-07)Hybrid metal-graphene structures offer design flexibility to manipulate and control light efficiently. These structures can be used to generate tunable plasmon induced transparency (PIT) in transmission and reflection mode. ... -
Interpolation of ionospheric modalities using kriging, co-kriging and spatio-temporal kriging
(Bilkent University, 2018-06)Long distance communication and navigation systems operating in the HF band use interacting signals as they travel through the ionosphere. It is important to accurately model ionospheric behavior to increase the performance ... -
An asymptotically optimal solution for contextual bandit problem in adversarial setting
(Bilkent University, 2018-05)We propose online algorithms for sequential learning in the contextual multiarmed bandit setting. Our approach is to partition the context space and then optimally combine all of the possible mappings between the partition ... -
Fast calibration and image reconstruction for magnetic particle imaging
(Bilkent University, 2018-05)Magnetic particle imaging (MPI) is a relatively new medical imaging modality that images the spatial distribution of magnetic nanoparticles (MNPs) administered to the body. For image reconstruction with the system matrix ... -
Phase-correcting denoising for diffusion magnetic resonance imaging
(Bilkent University, 2018-05)Diffusion magnetic resonance imaging (MRI) is a low signal-to-noise ratio (SNR) acquisition technique when compared to anatomical MRI. Multiple acquisitions have to be averaged to overcome this SNR problem. However, ... -
A gate modulated digitally controlled modified class-E amplifier for on-coil application in MRI
(Bilkent University, 2018-04)The switch-mode RF power amplifiers, known for their high output power capability and good efficiency, have proved valuable for on-coil applications in MRI hardware. The class-D and class-E amplifier topologies have been ... -
Failure independent path protection against single-SRLG failures in Elastic Optical Networks
(Bilkent University, 2018-03)In Elastic Optical Networks, exi-grid spectrum allocation is used where the the spectrum is assigned to optical connections according to their bandwidth requirements so that the capacity is used more e ciently. Ensuring ... -
Model-based identification and control of a one-legged hopping robot
(Bilkent University, 2018-02)Spring-mass models are well established tools for the analysis and control of legged locomotion. Among the alternatives, spring-loaded inverted pendulum (SLIP) model has shown to be a very accurate descriptor of animal ... -
Image classification with energy efficient hadamard neural networks
(Bilkent University, 2018-01)Deep learning has made significant improvements at many image processing tasks in recent years, such as image classification, object recognition and object detection. Convolutional neural networks (CNN), which is a popular ... -
Relaxation mapping in magnetic particle imaging
(Bilkent University, 2018-01)Magnetic Particle Imaging (MPI) is a novel biomedical imaging modality that shows great potential in terms of sensitivity, resolution, and contrast. Since its first introduction in 2005, several applications of MPI have ... -
Effects of scanning and reconstruction parameters on image quality in magnetic particle imaging
(Bilkent University, 2018-01)Magnetic particle imaging (MPI) is a novel medical imaging modality, based on the magnetization of the superparamagnetic iron oxide nanoparticles. In MPI, an external magnetic field called the drive field is applied to ... -
Phase-based techniques for image and video processing applications
(Bilkent University, 2018-01)In this thesis, phase information is utilized to address several issues in image processing applications; namely image quality assessment, image contrast enhancement, and visual object tracking. The classical two-dimensional ... -
Controlled surface structuring with nonlinear laser lithography
(Bilkent University, 2018-01)Self-organisation has always fascinated researchers from all branches of sciences and engineering. Despite its ubiquity, our present understanding of its core principles and in particular how to control self-organised ... -
Secure multi-antenna transmission with finite-alphabet signaling
(Bilkent University, 2018-01)With the ever-growing demand for services that rely on transmission over wireless networks, a challenging issue is the security of the transmitted information. Due to its open nature, wireless communications is prone to ... -
Covolutional neural networks based on non-euclidean operators
(Bilkent University, 2018-01)Dot product-based operations in neural net feedforwarding passes are replaced with an ℓ₁-norm inducing operator, which itself is multiplication-free. The neural net, which is called AddNet, retains attributes of ℓ₁-norm ... -
Highly efficient 300 W modified class-E RF amplifiers for 64 MHz transmit array system
(Bilkent University, 2018-01)The conventional MRI system uses high power linear RF amplifiers which are placed away from scanner room, have low efficiency, high cost and need a cooling system. We aim to use parallel transmit system with on-coil ... -
Multiplication free neural networks
(Bilkent University, 2018-01)Artificial Neural Networks, commonly known as Neural Networks (NNs), have become popular in the last decade for their achievable accuracies due to their ability to generalize and respond to unexpected patterns. In general, ... -
Cooperative visible light positioning systems
(Bilkent University, 2018-01)Light emitting diode (LED) based visible light positioning (VLP) systems o er an alternative approach to commonly used radio frequency (RF) based positioning systems. In the literature, VLP studies are performed only for ... -
Implantable SUB-cm wireless resonators For MRI: from circuit theory to medical imaging
(Bilkent University, 2018-01)Making implantable wireless resonators having small footprints is fundamentally challenging when using conventional designs that are subject to the inherent tradeo between their size and the achievable range of ... -
Online nonlinear modeling for big data applications
(Bilkent University, 2017-12)We investigate online nonlinear learning for several real life, adaptive signal processing and machine learning applications involving big data, and introduce algorithms that are both e cient and e ective. We present ...
