Research Areas

Machine Learning

Machine learning is a branch of artificial intelligence in which a computer generates rules underlying or based on raw data that has been fed into it. Pattern recognition is defined as the automated identification of shapes or forms or patterns of data.

Computer Vision

Computer vision is a machine/computer analogue of human vision in which information about the environment is received by one or more video cameras and processed by computer: used in navigation by robots, in the control of automated production lines, etc.

Biometrics

Biometrics is the process by which a person's unique physical and other traits are detected and recorded by an electronic device or system as a means of confirming identity.

Artificial Intelligence

Artificial intelligence is the ability of a computer or other machine to perform actions thought to require intelligence. Among these actions are logical deduction and inference, creativity, the ability to make decisions based on past experience or insufficient or conflicting information, and the ability to understand spoken language.

Computational Neuroscience

Computational Neuroscience is an interdisciplinary field mainly combining neuroscience, psychology, computer science, and also various other fields including economics, marketing, ergonomics, ethics and politics. The main aim is to provide different levels of analysis for the traditional accounts. In MEF Brain Dynamics Lab, different methods including EEG/ERP, eye-tracking, GSR (Galvanic Skin Response), PR (Pulse Rate) are actively practiced. The main research questions in this lab are related to understanding the neural correlates of purchasing processes, increasing the usability of web-sites and user experience, optimization of the TV ads, and predicting individual preferences.