Recep Avci

Short Bio

Recep Avci received his BS degree in Mathematics in 2007 at Bogazici University, Istanbul, Turkey. He received his MS degree in Applied Computing at University of Central Arkansas in 2012. He is currently a PhD candidate in Bioinformatics program at University of Arkansas Little Rock and working as a research assistant at University Arkansas for Medical Sciences. His research interests are source localization for heart and brain signals, mathematical modeling and inverse solutions for bio-physiological signals, parallel computations using CUDA, data analysis on NGS data. Dr. Kockara is serving as a dissertation committee member of him.

Master Thesis

"An Efficient Parallel Implementation of Structural Network Clustering in Massively Parallel GPU", UCA Computer Science, May 2013.

Publications

  1. T. R.Stovall, S. Kockara, and R. Avci, “GPUSCAN: GPU-Based Parallel Structural Clustering Algorithm for Networks”, submitted to IEEE Transactions on Parallel and Distributed Systems. (SCI, Impact Factor 1.80), 2015.
  2. R. Avci, T. R. Stovall, S. Kockara, J. Bian, W. Hogan, U. Topaloglu, “Discovering Semantic Classes of Elligibility Criteria for Clinical Trials using Semantic Types and Network Clustering”, AMIA Clinical Research Informatics (AMIA CRI 2013), San Francisco, CA, 2013.

Award

PhD fellowship at UALR