Eman M. Badr Ph.D
Assistant Professor, Biomedical Sciences.
Computational Biology and Bioinformatics
Assistant Professor of Biomedical Sciences
Education: Doctor of Philosophy degree in Computer Science, College of Engineering, Virginia Tech University, USA in 2015
Research Areas: Computational Biology, bioinformatics, medical imaging
1- Developing computational tools for Genomics and Transcriptomics applications using deep learning techniques.
2- Integrative analysis of next generation sequencing data
3- Exploring how deep learning techniques can be utilized to integrate different data sources into classification tasks.
Keywords: Machine learning, deep learning, image segmentation, computational biology, bioinformatics
1) Khajuria, Tarun, Eman Badr, Mouaz Al-Mallah, and Sherif Sakr. "LDLCT An Instance-Based Framework for Lesion Detection on Lung CT Scans." In 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), pp. 523-526. IEEE, (2019).
2) Badr, Eman, Mahmoud ElHefnawi, and Lenwood S. Heath. "Computational identification of tissue-specific splicing regulatory elements in human genes from RNA-Seq data." PLoS One 11, no. 11 (2016).
3) Badr, Eman, and Lenwood S. Heath. "CoSREM: a graph mining algorithm for the discovery of combinatorial splicing regulatory elements." BMC bioinformatics 16, no. 1 (2015): 285.
4) Marakeby, Haitham, Eman Badr, Hanaa Torkey, Yuhyun Song, Caroline L. Monteil, Lenwood S. Heath, and Boris A. Vinatzer. "A system to automatically classify and name any individual genome-sequenced organism independently of current biological classification and nomenclature." PLoS One 9, no. 2 (2014).
1) LDLCT: A Framework for Lesion Detection on Lung CT Scans, Information Technology Academia Collaboration (ITAC), ITIDA
1) Member of the Technical Support, Monitoring and Impact Assessment Office (TSMIAO), ASRT