Mehmet CEVRİ

Dr. Mehmet Cevri is an Assistant Professor at Istanbul University's Faculty of Science, Department of Mathematics, where he has been serving since 2011. He specializes in Bayesian statistical methods, signal processing, and mathematical modeling with applications spanning from genetics to engineering.

Education:

• 2003-2009: Doctorate in Mathematics/Applied Mathematics, Marmara University Institute for Graduate Studies in Pure and Applied Sciences
• 1999-2002: Postgraduate in Mathematics/Applied Mathematics, Marmara University
• 1995-1999: Undergraduate in Mathematics Education, Marmara University Ataturk Faculty of Education

Research Focus:

Dr. Cevri's research encompasses a broad spectrum of mathematical and computational methods, with particular emphasis on Bayesian inference and signal processing. His work includes developing sophisticated algorithms for extracting sinusoidal signals from noisy data, analyzing genetic traits using Bayesian methods, and applying mathematical clustering techniques to biological data. His expertise extends to optimization techniques, stochastic processes, and numerical analysis.

His recent publications demonstrate a consistent focus on Bayesian approaches to signal processing problems, particularly in recovering sinusoids from noisy environments. He has also applied his mathematical expertise to biological problems, including the analysis of ostracoda habitat preferences and genetic trait transmission probabilities.

Research Projects:

• 2015: "Bayesian Estimates of Genetic Characters" (Project Executive)
• 2012-2014: "Family Tree Analysis with Bayesian Logical Inference Method" (Project Executive)
• 2013: "Performance Analysis of Gibbs Sampling in Bayesian Inference of Sinusoids" (Project Executive)
• 2010-2013: "Positron Lifetime Spectrum Analysis with Bayesian Statistical Inference"
• 2007-2010: "Bayesian Spectrum Estimation of Harmonic Signals"
• 2007-2010: "Bayesian Model Selection and Parameter Estimation"

Teaching and Supervision:

Dr. Cevri teaches a variety of mathematics courses ranging from foundational mathematics to specialized topics like integral transforms and Bayesian data analysis. He has supervised multiple thesis students including F. Fırat and E. Serhan, contributing to the development of future researchers in mathematical sciences.