Biometic Security &text=Biometrics is the use of distinctive biological characteristics to identify people. Several biometrics has been used for authentication purposes such as finger print, facial image, iris, speech, vascular (finger and palm vein), signature.In this area, our research focuses on enhancing systems security with adaption of biometrics, especially finger vein. Dealing with hardware and software challenges, we are trying to improve quality of the image, matching process accuracy, system performance and usability issues.
Wearables are a set of clothing and accessories that interweaves technology into the everyday life via interacting with the bearer. These devices find its place in sports, health, entrainment, game and industrial domains. In this booming research area, our focus is designing and developing an armband and a necklace that helps to monitor patients at home. We will try to overcome hardware challenges ( such as battery life, heat dissipation,usability, sensory data accuracy) and software (such as accurate decision system) challenges.
Subjective information (positive or negative tendency) of textual materials is identified and extracted by means of natural language processing, text analysis and computational linguistics. This area gained importance with the recent increase in the great amount of subjective data in the web such as review and forecast sites. Our research is focused on sentiment and comparative analysis of Turkish texts to extract attitude of expert either judgement or evaluation.
The aim of this issue is securing public and private computer networks and computing devices to protect from unintended or unauthorized access, change or destruction of underlying information. With the recent advances in technology, several application domains ( such as e-health and banking) spreads over different technological infrastructures (Cloud, WSN and/or mobile). In this area, we are working on a holistic view for security focusing on developing easily deployable intrusion detection systems.
tBen is an adaptable access control system which uses finger vein biometric data for authentication purposes. The system comprises both hardware and software units.
Supported by TUBITAK, this project has been successfully completed.
e3-nurse is an in-home health monitoring system that is also able to listen and speak. It is integrated with the health authorities and in case of emergency it will alert the authorities by means of the internet.
An ongoing 3 year project, E3, supported by Celtic Plus and TUBITAK.
Trust Index is a semantic analysis project that finds out how reliable an expert is in terms of natural language processing, data and text mining techniques.
An onging 1 year project supported by TUBITAK.
Cyber Security project focuses on research activities to create more secure solutions for Industrial Internet which comprises different infrastructures; Cloud Computing, Wireless Sensor Networks and Mobile technologies.
A 3 year project accepted by Celtic Plus, Cyberwi.