New TUBITAK-1001 project grant !

The project entitled “Non-prefix free codes with applications” received a grant of amount 130K TL from the TUBITAK-1001 program for 18 months. Two graduate and two undergraduate students will be supported. Candidates with “excellent” knowledge of C/C++ and a strong interest in algorithms & data structures are encouraged to contact me by sharing their  CVs.

Research Visit to Indiana University Bloomington

I have visited Lab for Bioinformatics and Computational Genomics at  School of Informatics, Computing, and Engineering, Indiana University Bloomington, IN, USA led by  Prof. Cenk Sahinalp in August, 2017. I gave a talk entitled An Ambiguous Coding Scheme To Achieve Data Security with Less Encryption in Department of Computer Science colloquia seminers. Thanks a lot for the hospitality and the sincere atmosphere.

Paper at Journal of Computational Biology

Our recent study entitled “A System Architecture for Efficient Transmission of Massive DNA Sequencing Data with Mahmut Şamil Sagiroglu from Erlab Technology has appeared in Fast Track of Journal of Computational Biology.

In this study we focus on the problem “How to transmit massive DNA sequencing data from where they are produced to where they will be processed ?”. The DNA sequencing data analysis pipelines require significant computational resources. In that sense, cloud computing infrastructures appear as a natural choice for this processing. However, the first practical difficulty in reaching the cloud computing services is the transmission of the massive DNA sequencing data from where they are produced to where they will be processed. We proposed a new system architecture that incorporates the computational resources available on the client side while dynamically adapting itself to the available bandwidth. We analyse several real-life scenarios, which provide useful insights for the sequencing data producers, especially on deciding when to use a cloud service and in what conditions. This work has been partially supported by TÜBİTAK grants TEYDEB-7150616 and ARDEB-114E293.

Patent application: Low-energy data security

We have made a patent application based on a recent technique that we have developed. This method aims to  lessen the energy consumption while encrypting large volumes of data, and may help to increase the battery life in resource-limited environments such as the sensor networks, unmanned aerial vehicles, satellite communications, and etc.

Do not hesitate to contact in case you have a project that you believe this makes sense. We will be happy to discuss any further opportunities.