Dr. Firat Tekiner - Home Page

PhD Projects Available!

PhD projects are available for exceptionally good candidates in Computer Science/Engineering for EU/UK Nationals in the areas of High Performance Computing, Data Mining and AI applications on MANET routing.

For more information contact Dr. Firat Tekiner

Dr. Firat Tekiner - Research Profile

Dr. Firat Tekiner investigates data management and performance issues of large scale parallel and distributed applications involving large data sets. He is also interested in developing intelligent and distributed algorithms. Applications include data mining and network communications. Technical issues of concern are distributed computing, highly parallel systems, data mining, network communications and distributed artificial intelligence applications.

He is the PI of EU funded DEISA Grand Challenge project "Parallel Text Mining" and involved in Data Mining for Social Scientist Project that was funded by National Centre for e-Social Sciences from 2007 to 2008 and EPSRC funded Supercomputer Data Mining project. He is the editor of the special issue in Data/Text Mining for HPC and Grid, MEDJCN, April 2007.

He worked as a High Performance Computing (HPC) consultant for the national HPC service, CSAR and as a researcher on the supercomputer data mining project at Manchester Computing funded by EPSRC. He participated in HPC Courses that was delivered at Manchester Computing part of the national and university HPC service. He also worked as a researcher for NaCTeM, School of Computer Science, UoM dealing with data management issues on HPC and Grid from 2006 to 2008. He has over 20 peer reviewed conference and journal publications in the areas of Networking, Data Mining and High Performance Computing

Research Interests

• Investigate large scale data mining applications on distributed and parallel computing platforms.
• Development of distributed and intelligent artificial intelligent approaches for Communication Networks.
• Investigate novel HPC technologies (GPGPUs and IBM Cell) on various domains.
• Investigate scaling of applications over 10-100thousands of processors using cheap commodity PC clusters.