Theses - Department of Electrical and Electronics Engineering
Faculty of Engineering
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Environmental effects on interferometric fiber optic gyroscope performance
(Bilkent University, 2021-02)Today main performance limitations for fiber optic gyroscope technology are its sensitivity to temperature fluctuations and vibration. Shupe error is the main error source for both disturbances. We propose an approach to ... -
A transimpedance amplifier design for capacitive micromachined ultrasonic transducers operating at 7.5MHz
(Bilkent University, 2021-02-01)Capacitive Micromachined Ultrasonic Transducers (CMUTs) are MEMS devices used in ultrasound imaging, e.g. ultrasound mammography. CMUT proved to be a viable transducer solution in ultrasound mammography without the hazardous ... -
Broadband GaN LNA MMIC development with the micro/nano process development by kink-effect in S22 consideration
(Bilkent University, 2021-01)Broadband low noise amplifiers (LNA) are one of the key components of the nu-merous applications such as communication, electronic warfare, and radar. The requirements for higher bandwidth, higher speed, higher survivability, ... -
Efficient online training algorithms for recurrent neural networks
(Bilkent University, 2021-01)Recurrent Neural Networks (RNNs) are widely used for online regression due to their ability to learn nonlinear temporal dependencies. As an RNN model, Long-Short-Term-Memory Networks (LSTMs) are commonly preferred in ... -
Optimality based structured control of distributed parameter systems
(Bilkent University, 2021-01)This thesis proposes a complete procedure to obtain static output feedback (SOF) controllers for large scale discrete time linear time invariant (LTI) systems by considering two criteria: (1) use a small number of actuators ... -
A novel preclinical dual-topology magnetic particle imaging scanner
(Bilkent University, 2021-01)Magnetic Particle Imaging (MPI) is a relatively new biomedical imaging modality that can provide excellent sensitivity, contrast and resolution utilising superparamagnetic iron oxide nanoparticles. In MPI, spatial selectivity ... -
Memory efficient filtering algorithms for convolutional neural networks
(Bilkent University, 2021-01)Deployment of state of the art CNN architectures like Xception, ResNet and GoogleNet in resource limited devices is a big challenge. These architectures consist of many layers and millions of parameters. Moreover, they ... -
Deep learning in electronic warfare systems: automatic pulse detection and intra-pulse modulation recognition
(Bilkent University, 2020-12)Detection and classification of radar systems based on modulation analysis on pulses they transmit is an important application in electronic warfare systems. Many of the present works focus on classifying modulations ... -
Neural network based estimator and controller for SLIP and TD-SLIP monopod robots
(Bilkent University, 2020-12)Using spring loaded inverted pendulum models for legged locomotion, a wide range of applications can be developed for mobile robots. Spring loaded inverted pendulum model brings new challenges of solving the forward and ... -
A new footstep planning for SLIP and TD-SLIP models
(Bilkent University, 2020-12)Spring Loaded Inverted Pendulum (SLIP) is a well-known model and an accurate descriptive tool, which can scientifically represent the dynamics of the legged locomotion. Torque actuated Dissipative SLIP (TD-SLIP), on the ... -
Airborne ground surveillance with multi-hop UAV networks
(Bilkent University, 2020-12)Cooperative utilization of unmanned aerial vehicles (UAVs) in public and military surveillance applications has attracted significant attention in recent years. Most UAVs are equipped with sensors that have limited coverage ... -
Parameter robustness analysis of system function reconstruction and a novel deblurring network for magnetic particle imaging
(Bilkent University, 2020-12)Magnetic Particle Imaging (MPI) is a novel medical imaging modality that can provide excellent sensitivity, contrast and resolution for imaging the spatial distribution of superparamagnetic iron oxide nanoparticles by ... -
Payload-based network intrusion detection using LSTM autoencoders
(Bilkent University, 2020-12)The increase in the use of computer networks by vast numbers of different devices have allowed malicious entities to develop a plethora of diverse attacks, targeting individuals and businesses. The defence systems need ... -
Fully distributed bandit algorithm for the joint channel and rate selection problem in heterogeneous cognitive radio networks
(Bilkent University, 2020-12)We consider the problem of the distributed sequential channel and rate selection in cognitive radio networks where multiple users choose channels from the same set of available wireless channels and pick modulation and ... -
Spatio-temporal forecasting over graphs with deep learning
(Bilkent University, 2020-12)We study spatiotemporal forecasting of high-dimensional rectangular grid graph structured data, which exhibits both complex spatial and temporal dependencies. In most high-dimensional spatiotemporal forecasting scenarios, ... -
On the structure and implementation of the optimal Q-Parameter in the one-block H-infinity control problem
(Bilkent University, 2020-12)In the robust control theory, H∞ methods are carried out to procure solutions to sensitivity minimization (nominal performance) and robust stability problems in general. These one – block control problems can be ... -
Development of an experimental image processing tool and flow-cytometry based electromagnetic scattering analysis for medical diagnosis of red blood cell pathology
(Bilkent University, 2020-11)The morphological, biophysical and biochemical properties of biological cells are critical markers for many fields, including life sciences, medical diagnosis, etc. Label-free, high-throughput classification and detection ... -
Innovative designs of RF transmit array coils and RF heating analysis of patients with implanted DBS
(Bilkent University, 2020-11)A safe and efficient magnetic resonance imaging (MRI) test would rely on informed specification, design, implementation, assessment, and application of appropriately selected radiofrequency (RF) coils. Towards these ... -
Selection field induced artifacts in magnetic particle imaging and a novel framework for nanoparticle characterization
(Bilkent University, 2020-11)Magnetic particle imaging (MPI) is a recent imaging modality that uses nonlinear magnetization curves of the superparamagnetic iron oxides. One of the main assumptions in MPI is that the selection field changes linearly ... -
Fast and efficient solutions of multiscale electromagnetic problems
(Bilkent University, 2020-11)Frequency-domain surface integral equations (SIEs) used together with the method of moments (MoM), and/or its accelerated versions, such as the multilevel fast multipole algorithm (MLFMA), are usually the most ...
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