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Fredonia graduate Aierkan Salayding (left), with Dr. Ziya Arnavut.
Fredonia graduate Aierkan Salayding (left), with Dr. Ziya Arnavut.

Fredonia graduate Aierkan Salayding (left), with Dr. Ziya Arnavut.

  • October 13, 2020
  • Roger Coda

A paper co-authored by Fredonia graduate Aierkan Salayding, who received a B.S. in Computer Science, with a concentration in Software Development, in December 2019, has been accepted for presentation at the 11th annual IEEE Information Technology, Electronics and Mobile Communication Conference.

Additional co-authors of the article, “Burrows-Wheeler Transformation for Medical Image Compression,” included Fredonia Department of Computer and Information Sciences Professor Ziya Arnavut, Assistant Professor of Computer Science at Stetson University and 2012 Fredonia graduate Basar Koc and Professor Hüseyin Koςak, of the University of Miami.

In their research, the authors proposed a new lossless image compression technique for efficient storage and transmission of medical images, based on encoding prediction errors with a suitable entropy coder upon transforming them with the Burrows-Wheeler Transformation.

“We show that the newly proposed technique yields better compression than the mainstream lossless compression algorithms JPEG-2000 and JPEG-LS,” the authors state in their paper, which was related to CSIT 441: Analysis and Design of Algorithms, a course that Mr. Shalayiding completed and Dr. Arnavut taught.

Salayding is working as a software engineer for CodersData, a provider of IT consulting and custom-made software development services for clients around the world.

For future use and further study analysis of medical imaging used in the diagnosis of diseases, hospitals must keep all patients’ medical records on databases. Compression techniques are used primarily to reduce storage space and transmission time over the internet. While most applications may tolerate some loss of data, in areas such as satellite, legal and medical imaging, lossless compression is preferred.

The conference, to be presented virtually Nov. 4-7, provides an opportunity for researchers, educators and students to discuss and exchange ideas on issues, trends and developments in information technology, electronics and mobile communication. Scholars from different disciplinary backgrounds are brought together to promote the dissemination of ongoing research in their respective fields.

Areas of research to be presented at the conference include Computer Network Evolutionary Computation and Algorithms Intelligent Information Processing Information System Integration and Decision Support Image Processing and Multimedia Technology VLSI and Microelectronic Circuit Embedded Systems System on Chip (SoC) Design FPGA (Field Programmable Gate Array) Design and Applications.

Presented papers will be submitted for publication at IEEE Xplore® digital library (Scopus, DBLP, Ei Compendex, Web of Science and Google Scholar).

IEEE (Institute of Electrical and Electronics Engineers) is the world’s largest technical professional association dedicated to the advancement of technology.