Institution

King Abdullah University of Science and Technology

Reviewers: 95

3rd in Saudi Arabia

Reviews: 878

3rd in Saudi Arabia

Merit: 2,948

3rd in Saudi Arabia

Openness: 24.4

3rd in Saudi Arabia

Journal Editors at King Abdullah University of Science and Technology

Reviewers from King Abdullah University of Science and Technology

  • Reviewer

    Robert Hoehndorf

    I am an Assistant Professor in Computer Science at King Abdullah University of Science and Technology. My main academic interests are semantic integration, biomedical ontologies, knowledge representation, and neuro-symbolic systems.

  • Reviewer

    Celia Schunter

    I am a marine biologist and my research focuses on understanding ecological and evolutionary processes on a molecular level in marine organisms. I’ve been applying molecular tools to study connectivity patterns and population genetics in marine species. Also, I investigated the molecular signatures of social dominance and reproductive success through gene expression and transcriptome analyses. Most of my work now is based on high throughput technology and genome wide analyses. In general, my current main research focuses on the molecular response of organisms to changing environments through transcriptomic and epigenomic approaches.

  • Reviewer

    Raphael Huser

    Raphaël Huser (RH) is an Assistant Professor of Statistics in the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division at KAUST. He completed his PhD in 2013 at the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, under the supervision of Professor Anthony Davison and spent about a year as a Postdoctoral Research Fellow in the group of Professor Marc Genton at KAUST in 2014.

    RH is currently serving as an Associate Editor for the journal Extremes.

    RH’s main research interests lie at the intersection between statistics of extreme events, risk assessment, spatio-temporal statistics, dependence modeling for complex systems, and statistical approaches for large datasets, with particular focus on environmental applications such as the prediction of extreme flooding, droughts, and wind gusts. He develops statistical models for rare events, as well as efficient inference methods to fit them to data.

    Personal website: https://extstat.kaust.edu.sa; Google Scholar profile: https://scholar.google.co.uk/citations?user=fK5O6usAAAAJ&hl=en

  • Reviewer

    Iman Roqan

    Prof. Iman Roqan is an assistant professor in the Physical Sciences and Engineering Division at KAUST. Prof. Iman Roqan has experience in fundamental studies of wide band gap semiconductors, mainly GaN and ZnO; the material system that enabled high efficiency LEDs. Her main specialty is investigating the role of defects and material structure by optical spectroscopy. Her group focus on investigating the optical and structural characterizations of GaN and ZnO materials with different structures: nanorods, quantum well and quantum dots materials.

  • Reviewer

    Pugalenthi Ganesan

    Dr. Ganesan Pugalenthi worked as a research scientist at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. He received his MS in Biotechnology and PhD in Bioinformatics. His research interest includes Next Generation Sequencing (NGS) data analysis (Exome analysis, RNAseq, miRNA analysis etc), protein structure and sequence analysis, machine learning techniques to solve biological problems, developing bioinformatics software, servers and databases. He has published more than 40 papers in international journals. He is a part of editorial members in international journals such as American Journal of Medical and Biological Research; Journal of Biomedical Science and Engineering; International Journal of Biometrics and Bioinformatics; Advances in Computational Research). He serves as a reviewer for several international journals and conferences.

  • Reviewer

    Fei Han

    I spend more than ten years on developing algorithm and programs for evaluating thermal and mechanical property of composite/nano-composite materials and for enabling a new paradigm in fracture mechanics, in particular the peridynamics theory. I have considerable experience in the following fields: (1) 3D geometry modeling and mesh generation for micro-structures of composite materials; (2) Peridynamic theory and its coupling technique with the conventional continuum mechanics; (3) Mathematical modeling for carbon nanotube reinforced composites (4) Multiscale modeling by asymptotic expansion homogenization theory; (5) C, C++, FORTRAN and Software Development. My Twitter: @harrisonhanfei