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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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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Your sloppy bitcoin drug deals will haunt you for years

28/01/2018

Perhaps you bought some illegal narcotics on the Silk Road half a decade ago, back when that digital black market for every contraband imaginable was still online and bustling. You might already ...

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Upcoming Events

2018

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QCRI Summer Internship Program

Download ICS File 06/05/2018  - 05/07/2018 , Hamad Bin Khalifa Research Complex

Each year, Qatar Computing Research Institute organizes a summer internship program for undergraduate students studying computer science, computer engineering and other disciplines. The internship is unpaid, and QCRI does not provide any visa support.

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Past Events

Regina

Public Talk by Prof. Regina Barzilay "Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text"

Download ICS File 27/03/2018 ,

Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text A talk by Professor Regina Barzilay, MIT CSAIL Winner of 2017 MacArthur ‘genius grant’ At Education City Student ...

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QCRI & MIT-CSAIL Annual Project Review 2018

Download ICS File 27/03/2018 ,

Executive Overview Sessions Open to public Date:    Tuesday, March 27, 2018 Time:    9:00AM – 3:00PM Venue:  HBKU Research Complex Multipurpose Room To view full agenda, please click here . To RSVP, ...

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News Releases

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QCRI to launch Center for Artificial Intelligence (Q-CAI)

14/05/2018

Initiative plans to ramp up development of artificial intelligence technologies to position Qatar as a global leader in AI.

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QCRI hosts humanitarian data skills workshop

09/05/2018

Joint event with UNOCHA's Centre for Humanitarian Data, the Qatar Red Crescent Society and Education Above All Foundation held to devise common practices for data use in humanitarian action.

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QCRI welcomes 2018 summer interns

06/05/2018

Projects will include developing a TEDTalk visualization, deep maps, learning from time series sensor data, real-time detection of phishing domains and developing a voice ID speaker recognition system.

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