Rate My Professor Ibrahim Savran

Savran's research specializations encompass bioinformatics, high-performance computing, and quantum computing. He has authored or co-authored numerous peer-reviewed publications demonstrating expertise in GPU-accelerated algorithms and computational simulations. Key works include 'Spontaneous emergence of a persistent spin helix from homogeneous spin polarization' with V.A. Slipko and Y.V. Pershin (Physical Review B, 2011); 'Two-stage energy management of multi-smart homes with distributed generation and storage' with E.I. Tezde and H.I. Okumus (Electronics, 2019); 'Accelerating Shor’s factorization algorithm on GPUs' with M. Demirci and A.H. Yılmaz (Canadian Journal of Physics, 2018); 'Large-scale pairwise sequence alignments on a large-scale GPU cluster' with Y. Gao and J.D. Bakos (IEEE Design & Test, 2013); 'Meta-Genomik Gen Analizi için Filtre Tasarımı' with E. Erden (Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, 2019); 'GPU acceleration of near-minimal logic minimization' (2010); 'Copy move forgery detection with using FAST key points and SIFT description vectors' with A. Mumcu (SIU, 2018); 'High-performance meta-genomic gene Identification' (University of South Carolina, 2014); 'Spintronik Sistemlerin Monte Carlo Simülasyonu' (Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, 2011); and 'Accelerating gene identification in DNA sequences with CUDA and OpenCL' with E. Aras, G. Uzer, and S. Abdi (SIU, 2018). These contributions highlight his focus on accelerating complex computations using parallel processing technologies.