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 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.

Parallel and Distributed Systems

Parallel & Distributed Systems group at MEF University deals with the development and evaluation of new generic concepts in distributed systems software, parallel computing and data-driven services, motivated by important application areas, such as e-science/commerce, online and mobile games, graph processing, data storage and social networks. Much of our research deliverables, validating the proposed new concepts by means of implementation and deployment in physical prototypes, are envisioned to be used in the real world applications and eventually turn into future products.
Recent Publication(s): Ş. Ş. Arslan, B. Parrein and N. Normand, "Mojette transform based LDPC erasure correction codes for distributed storage systems," 25th SIU, Turkey, 2017, pp. 1-4.

Data Storage and Coding

Data Storage & Coding deals with modern data storage technologies, development of algorithms, advanced data protection using various coding techniques to ensure that the information is stored securely and reliably. As a group at MEF, we research magnetic and electronic (HDDs, SSDs) as well as software-defined cloud storage solutions and investıgate future technologies such as DNA-based data retention, holograms, quantum and molecular storage devices etc.
Recent Publication(s):
S. S. Arslan, T. Goker and R. Wideman, “A Joint Dedupe-Fountain Coded Archival Storage," IEEE ICC’17, Paris, France, May 2017.
S. S. Arslan, Hoa Le, Joseph Landman, Turguy Goker, "OpenMP and POSIX threads Imp. of Jerasure 2.0, " IEEE BlackSea Com., KHU, Ist., Turkey. 2017.

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.
Recent Publication(s):
Çakar, T., Rızvaoğlu, K., Öztürk, Ö., Zengin-Çelik, Z., Güvardar, İ. (2017). User Experience during Product Search of First-Time Buyers in E-Commerce. Understanding Novel User Experience: Design, User Experience, and Usability: Theory, Methodology, and Management, pp.342-362, of the series Lecture Notes in Computer Science.