Sponsored Projects

TUBITAK 1001: Support Program for Scientific and Technological Research Projects
Dendritic spines, membranous protrusions of neurons, are one of the few prominent characteristics of neurons. Neuron activity changes modify spine morphology. Spine morphological analysis can play a significant role in inferring the inherent relationship between neuronal activity and spine morphology variations. This analysis is currently performed manually due to the deficiency of fully automated and reliable tools. This project aims for developing new probabilistic and machine-learning based image processing algorithms for the dendritic spines classification from two-photon microscopy images.

TUBA-GEBIP: Turkish Academy of Sciences Distinguished Young Scientist Research Project
Electroencephalography (EEG) based Brain-Computer Interface (BCI) systems are a new development in the field of applied neurophysiology. In this project, our objective is to develop new signal analysis and pattern recognition algorithms based on statistical graphical models, and to demonstrate the effectiveness of these algorithms both on standard data sets and on the data collection and BCI system we will set up.

TUBITAK Career: National Young Researchers Career Development Programme
The purpose of this programme is to encourage young scientists who hold a PhD degree and who are at the beginning of their scientific career by supplying project funds to their studies.

IronDB: MR – based Analysis, Indexing, and Retrieval of Brain Iron Deposition in Basal Ganglia
This multi-disciplinary project targets to significantly improve the understanding of neurodegenerative diseases by developing automatic methods that enable relating the brain iron accumulation to various diseases and complications. This project involves a multi-disciplinary research requiring novel solutions from medical image processing, pattern recognition, search and retrieval, and clinical science. This is a joint project with Philips Research Eindhoven.

TUBITAK BCI: Development of Electroencephalography (EEG) Signal Analysis Techniques for Brain Computer Interface (BCI) Systems
Development of Electroencephalography (EEG) Signal Analysis Techniques for Brain Computer Interface (BCI) Systems

DRIVE-SAFE: Signal Processing and Advanced Information Technologies for improving Driver/Driving Prudence and Accident Reduction
In this initiative, we propose to create conditions for prudent driving on highways and roadways with the purposes of reducing accidents caused by driver behavior.

NEWSENSE: New Generation Information Processing Techniques for Imaging Sensors and Wireless Sensor Networks
The objective of this project is to develop principled and practical new signal and information processing methods for a number of sensing systems including wide-angle radar, magnetic resonance brain imaging, and wireless micro-sensor networks.