إحسان الله | Hamad Bin Khalifa University

معهد قطر لبحوث الحوسبة معهد قطر لبحوث الحوسبة

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Hamad Bin Khalifa University

أعضاء هيئة التدريس

إحسان الله

Dr. إحسان الله

باحث بعد الدكتوراه
معهد قطر لبحوث الحوسبة
  • الهاتف+974 44545737
  • موقع المكتبمكتب رقم أ102، الطابق الأول، مجمع البحوث والتنمية

السيرة الذاتية

Dr. Ehsan Ullah is post-doctoral researcher at Qatar Computing Research Institute, Hamad Bin Khalifa University. Dr. Ehsan 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.

الاهتمامات البحثية

  • Health informatics
  • Computational biology
  • Genomics and algorithms.

الخبرات

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

المؤهلات العلمية

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

المؤلفات المختارة

  • 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

  • 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
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