Serdar Celebi

Mustafa Serdar Çelebi, MSc, PD, PhD, works as a professor in the Department of Computational Science and Engineering, Istanbul Technical University (ITU), Turkey. He served in different academic levels ranging from program coordinator to deanery. He is the founding director of UHeM (National Center for High-Performance Computing of Turkey). Dr. Çelebi has been a referee in more than 15 different SCI/SCIE journals and an external expert in international projects and organizations such as FP7 ICT capacities, e-infrastructures, virtual communities, ORAU, and PAZY. He has published around 100 papers in journals, proceedings, and reports and presented about 45 talks at various meetings, workshops, seminars, and conferences. He organized 23 summer school workshops and conferences in the fields of high-performance computing, parallel programming, biomechanics, and computational fluid dynamics. Fields of Research: His fields of research are computational fluid dynamics, biomechanics, computational algebra, parallel numerical algorithms, medical image processing, and geometric modeling. Education: 1983–1987 
 Istanbul Technical University, BSc in Ocean Engineering 1987–1989 
 Istanbul Technical University, MSc in Marine Hydrodynamics 1992–1995 
 University of Michigan (Ann Arbor), PD (NA) in Hydrodynamics 1985–1997 
 Texas A&M University, PhD in Computational Hydrodynamics

Serdar Celebi

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Computational science and engineering (CSE) is a broad multidisciplinary and integrative area including a variety of applications in science, engineering, numerical methods, applied mathematics, and computer science disciplines. The book covers a collection of different types of applications and visions to various disciplinary key aspects, which comprises both problem-driven and methodology-driven approaches at the same time. These selected applications are: Computational and information technologies for numerical models and large unstructured data processing Evolution of matrix computations and new concepts in computing Inverse problems covering both classical and newer approaches Integro-differential scheme (IDS) that combines finite volume and finite difference methods Smart city wireless networks Signal processing methods

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