Abdullah Khamis graduated with a Ph.D. degree in Computer Science from KAUST under the supervision of Professor Vladimir Bajic and Associate Professor Xin Gao. He now works as the Director of Data Science in the Center for Strategic Studies (CSS) of the Royal Court of Saudi Arabia. He leads the Data Science team in developing several machine learning based predictive models such as sentiment analysis and prediction.
Abdullah's research interests were in bioinformatics and machine learning.
Medvedeva, Y. A., Khamis, A. M., Kulakovskiy, I. V., Ba-Alawi, W., Bhuyan, M. S. I., … Kawaji, H. (2014). Effects of cytosine methylation on transcription factor binding sites. BMC Genomics, 15(1), 119. doi:10.1186/1471-2164-15-119
Khamis, A. M., Hamilton, A. R., Medvedeva, Y. A., Alam, T., Alam, I., Essack, M., … Bajic, V. B. (2015). Insights into the Transcriptional Architecture of Behavioral Plasticity in the Honey Bee Apis mellifera . Scientific Reports, 5(1). doi:10.1038/srep11136
Khamis, A. M., Essack, M., Gao, X., & Bajic, V. B. (2014). Distinct profiling of antimicrobial peptide families. Bioinformatics, 31(6), 849–856. doi:10.1093/bioinformatics/btu738
Khamis, A. M. (2016). Machine Learning Identification of Protein Properties Useful for Specific Applications, (Dissertation). https://hdl.handle.net/10754/606030