Dr. Ehsan Ullah


Postdoctoral researcher
Data Analytics

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Research Focus at QCRI

Dr. Ehsan Ullah is post-doctoral researcher at Qatar Computing Research Institute. Dr. Ullah received his Ph.D. degree in 2014 from Tufts University, Medford, Massachusetts. He received his M.Sc. and B.Sc. from the University of Engineering and Technology, Lahore. Ehsan Ullah is interested in health informatics, computational biology, genomics and algorithms.



Previous Experience


Professional Experience

2008-2014: Research / Teaching Assistant: Tufts University, Medford, USA

2004-2008: Lecturer, Department of Electrical Engineering, University of Engineering and Technology, Pakistan

2003-2008: Research Assistant / Associate, Al Khwarizmi Institute of Computer Science, Lahore, Pakistan

Professional Associations and Awards


Education

2014: PhD in Computer Science, Tufts University, Medford, USA

2007: MSc, Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan

2002: BSc, Electrical Engineeri9ng, University of Engineering and Technology, Lahore, Pakistan

Selected Research

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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In the Media

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Can AI Put An End To Fake News? Don't Be So Sure

07/10/2018

Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

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MIT/QCRI system uses machine learning to build road maps

22/04/2018

Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...

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Improving disaster response efforts through data

08/02/2018

Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

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Upcoming Events

2019

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“The Future of Higher Education in the Age of Technological Disruption” by CMU President Dr. Farnam Jahanian

Download ICS File 24/03/2019 ,

Dr. Farnam Jahanian, the President of Carnegie Mellon University, will deliver a public lecture, “The Future of Higher Education in the Age of Technological Disruption” at CMU’s Qatar campus on Sunday, March 24.

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QCRI - MIT CSAIL 2019 Annual Project Review

Download ICS File 25/03/2019 ,

Executive Overview Sessions Open to publi Date: March 25, 2019 Time: 10:15AM - 5:15PM Venue: Hamad Bin Khalia Reseach Complex Multipurpose Room To view agenda, please click here . To RSVP to this ...

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"Learning to See" Public talk by Professor Antonio Torralba (MIT-CSAIL)

Download ICS File 25/03/2019 ,

Visit by Antonio Torralba, who teaches machines to automate tasks that a human visual system can accomplish, is part of annual spring research update between QCRI and MIT-CSAIL.

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News Releases

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QCRI and iMMAP announce Memorandum of Understanding

03/03/2019

Pact aims to apply data analysis and artificial intelligence techniques to solve humanitarian problems.

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UNDP partners with QCRI to use AI for social good

11/02/2019

Qatar forum on leveraging AI to solve humanitarian problems fills to capacity.

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Renowned computing expert C. Mohan to bust blockchain myths in Qatar talk

22/01/2019

Well-known inventor of database recovery algorithms to deliver keynote at QCRI's first blockchain workshop.

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