Dr. Ehsan Ullah | Hamad Bin Khalifa University
Hamad Bin Khalifa University

FACULTY BIOGRAPHIES

Dr. Ehsan Ullah

Dr. Ehsan Ullah


Post-Doctoral Researcher
Data Analytics
Qatar Computing Research Institute QCRI

  • Phone+974 44545737
  • Office locationOffice Number A102, 1st Floor, Research and Development Complex

Biography

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.


Research Interests

  • Health informatics
  • Computational biology
  • Genomics and algorithms.

Experience

Research / Teaching Assistant

Tufts University, Medford, USA.

2008-2014
  • Lecturer

    Department of Electrical Engineering, University of Engineering and Technology Pakistan.

    2004-2008
  • Research Assistant/Associate

    Al-Khwarizmi Institute of Computer Science, Lahore Pakistan

    2003-2008

Education

Ph.D. Computer Science

Tufts University Medford, USA

2014
  • M.Sc

    Electrical Engineering University of Engineering and Technology Lahore, Pakistan

    2007
  • B.Sc.

    Electrical Engineering University of Engineering and Technology Lahore, Pakistan

    2002

Selected Publications

  • N Hassanpour, E Ullah, M Yousofshahi, NU Nair, S Hassoun;

    Selection Finder (SelFi): A computational metabolic engineering tool to enable directed evolution of enzymes; Metabolic Engineering Communications 4, 37-47

    2017
  • M Aupetit, E Ullah, R Rawi, H Bensmail;

    A design study to identify inconsistencies in kinship information: The case of the 1000 Genomes project; Pacific Visualization Symposium (PacificVis), 2016 IEEE, 254-258

    2016
  • E Ullah, S Aeron, S Hassoun; gEFM

    An algorithm for computing elementary flux modes using graph traversal; IEEE/ACM Transactions on Computational Biology and Bioinformatics

    2015
  • E Ullah, M Walker, K Lee, S Hassoun; PreProPath

    An uncertainty-aware algorithm for identifying predictable profitable pathways in biochemical networks; IEEE/ACM transactions on computational biology and bioinformatics

    2015
  • GV Sridharan, E Ullah, S Hassoun, K Lee;

    Discovery of substrate cycles in large scale metabolic networks using hierarchical modularity; BMC systems biology 9 (1)

    2015
  • E Ullah, M Shahzad, R Rawi, M Dehbi, K Suhre, M Selim, D Mook, H Bensmail;

    Integrative 1H-NMR-based metabolomic profiling to identify type-2 diabetes biomarkers: An application to a population of Qatar; Metabolomics 5 (1),

    2015