Dr. Ehsan Ullah is a post-doctoral researcher at Qatar Computing Research Institute, Hamad Bin Khalifa University. Dr. Ullah received his Ph.D. degree in 2014 from Tufts University, Medford, Massachusetts. He received his M.Sc. and B.Sc. from University of Engineering and Technology, Lahore. Ehsan Ullah is interested in health informatics, computational biology, genomics and algorithms.
Tufts University, Medford, USA.
2008-2014Department of Electrical Engineering, University of Engineering and Technology Pakistan.
2004-2008Al-Khwarizmi Institute of Computer Science, Lahore Pakistan
2003-2008Tufts University Medford, USA
2014Electrical Engineering University of Engineering and Technology Lahore, Pakistan
2007Electrical Engineering University of Engineering and Technology Lahore, Pakistan
2002Selection Finder (SelFi): A computational metabolic engineering tool to enable directed evolution of enzymes; Metabolic Engineering Communications 4, 37-47
2017A design study to identify inconsistencies in kinship information: The case of the 1000 Genomes project; Pacific Visualization Symposium (PacificVis), 2016 IEEE, 254-258
2016An algorithm for computing elementary flux modes using graph traversal; IEEE/ACM Transactions on Computational Biology and Bioinformatics
2015An uncertainty-aware algorithm for identifying predictable profitable pathways in biochemical networks; IEEE/ACM transactions on computational biology and bioinformatics
2015Discovery of substrate cycles in large scale metabolic networks using hierarchical modularity; BMC systems biology 9 (1)
2015Integrative 1H-NMR-based metabolomic profiling to identify type-2 diabetes biomarkers: An application to a population of Qatar; Metabolomics 5 (1),
2015