Advisor Project Title
Aydın Alatan Augmented Reality by using mobile devices
Automatic Recognition of targets in hyperspectral imagery
Pose estimation for augmented reality applications
An automatic grading application for smart phones
Barış Bayram Design and Analysis of MEMS Ultrasonic Transducer

This work requires comprehensive understanding of actuation and sensing mechanisms of transducers, and use of design tools for the optimization of key performance parameters.

Wafer-bonding Techniques for MEMS Microfabrication

This work requires thorough analysis of wafer-bonding techniques including but not limited to Hertzian contact for bonding dynamics between surfaces.

Buyurman Baykal Simulation and design of mobile ad hoc networks for 5G wireless systems (2 groups of 2 students are needed.)
Detection and classification of events (changes) in multichannel signal returns of fiber optic sensors (1 group of 2 students is needed.)
Optoelectronic circuit design for fiber optic sensors (1 group of 2 students is needed.)
Çağatay Candan Curing Steering Vector Errors in Robust Beamforming with Diagonal Loading

The aim of the project is to study robust Capon beamforming with diagonal loading. Beamforming aims to capture the component of an incoming wave propagating in a certain direction. The incoming wave is sensed with an array of sensors. The sensor outputs are processed to spatially filter propagating waves in different directions. The operation is similar to low-pass/high-pass filtering where the incoming signal is filtered to enhance certain bands in the spectrum, while suppressing some others. Different from the filtering problem, the input to is composed of very few samples and the accuracy of the beamformer output is very critical in many applications.

This project does not involve any physical implementation, it is conducted on MATLAB. Only one group of students will be admitted (due to lack of time of advisor, sorry!). The students should be **very familiar** with linear algebra (especially the eigendecomposition, orthogonal representations, inner products) and optimization (Lagrange multipliers, gradients and other Calculus topics related with optimization). A basic familiarity with the physics of the problem is useful. This is a highly mathematical project, students enjoying maths are welcomed to apply.

Keywords: Beamforming, Capon Beamformer, MVDR, Robust Beamforming.

Elif Vural Transfer learning for the analysis and classification of data sets

Classification is an important problem of machine learning, which is relevant to quite many applications such as face recognition, handwriting analysis, diagnosis of diseases from tissue samples, etc. In machine learning, a classification rule is learned from training data, which is then applied to classify test data. However, in quite many applications the distribution of training data differs from that of test data, which degrades the performance of traditional classification methods. In this project, we will investigate machine learning algorithms that can transfer the knowledge acquired from training data to test data even in settings where these have different distributions.

Fatih Koçer Design of planar baluns for electrical balance duplexers on SOI substrate.
Figen Öktem The role of priors on image reconstruction
Photon sieve spectral imagers with application to weighing black holes
Quantification of optical resolution with a time-frequency approach
Image reconstruction from the magnitude of Fourier transform (phase retrieval)
Solar simulator using a programmable RGB LED display
Compressed sensing
Development of novel optical imaging systems by integrated use of optics and computational algorithms (computational imaging)
Gönül Turhan Sayan Simulation of Ground Penetration Radar (GPR) Signals for Buried Solid Objects for Detection and Classification Purposes

Summary: Ultra-wide band electromagnetic signals will be numerically simulated by using an open-source GPR simulator. A GPR A-scan signal database will be established for designated solid targets buried in soil. Detection and an introductory level classification of targets are aimed.

Simulation of Ground Penetration Radar (GPR) Signals for Underground Liquid Objects for Detection and Classification Purposes

Summary: Ultra-wide band electromagnetic signals will be numerically simulated by using an open-source GPR simulator. A GPR A-scan signal database will be established for designated underground volumes filled by liquids with or without plastic boundaries. Detection and an introductory level classification of liquids are aimed.

Measurement of Rayleigh Backscattering signals over optical fibers for basic sensor applications.
Gözde Bozdağı Akar Identifying hot spots in sugar beet stock piles
Multispectral aerial imagery for precision agriculture
Segmentation of quantitative coronary angiography images
İlkay Ulusoy Parnas Brain Effective Connectivity Analysis by covariance, coherence, information and graph theory based methods
Brain connectivity analysis be signal processing and probabilistic modelling methods
Murat Eybpoğlu Design and implementation of a device to monitor human respiration
Nevzat G. Gencer Pulse oximeter design
Ozan Keysan 3D Printed Electric Motors (Details:
Design of a Tethered Quad-copter for Continuous Flying
Robot Control with a Smart Glove
Basic Railgun/Coilgun Implementation
Wireless Battery Charger
Power supply for a data acquisition and monitoring system
Data acquisition and monitoring system software
Auto-tuning of the control system of a DC/DC converter
Manufacturing of Open Lab Tools
Özlem Aydın Çivi RF energy harvester operating at mobile communications bands
On body antenna combined with a temperature sensor for remote monitoring of the patient’s fewer
Development of computer animations (even apps for mobile devices) for the fundamental principles and concepts of undergraduate Electromagnetic wave theory courses. For example: demonstration of plane wave reflection/transmisson from metarial interfaces
I’m also looking for an “Antenna team (2 to 5 students)” to be prepared for the IEEE International Antennas and Propagation Symposium Student Design Contest 2017
Selçuk Yerci Investigation of sub-micron light trapping structures for silicon solar cells
Colorful solar cells: from simulation to fabrication
Germanium on silicon stress analysis and photonics applications
Measurement of speed of light via time-of-flight method
Serdar Kocaman Resonator structures for photonic devices
Tunable birefringet filters for photonic integrated circuits
Tolga Çiloğlu Detection and Tracking by Acoustic Sensor Arrays of Bats to Monitor Their Interaction with Wind Power Plants
Uğur Halıcı Brain-like computing

Brain-like computing is an important area in Artificial Intelligence, Machine Learning and Neurotechnology. Today brain-like computing systems has gained much importance due to diffculties that the conventional computers and programming faced in terms of performance, computation time and information processing style in areas like pattern recognition, machine learning, computer vision, big data or brain computer interfaces. Size and energy consumption is another problem that super computers are faced. Deep Learning, Artificial Neural Networks, Spking Neural Networks, Neuromorphic Computing are approaches all inspired from brain and its processing elements which are called neurons. Although small sized neural networks can be implemented on conventional computers, for medium sized networks GPU programming (CUDA) is used. For large networks or big data even supercomputers are employed. Today there is a tendency for devoloping neuromorphic chips aiming to implement millions of neurons in a small volume with low power consumption. Brain-like computing is also important for constructing more powerful interfaces between machines and human brain/nervous system.