Dr. Issa Khalil

Issa khalil
Principal Scientist
Cyber Security
QCRI is a wonderful place to work in the Middle East as it both satisfies my career goals and my family needs.

Research Focus at QCRI

Dr. Khalil’s research interests span the areas of wireless and wireline communications networks. He is especially interested in security, routing, and performance of wireless sensor, ad hoc and mesh networks. Dr. Khalil’s current research is geared towards systems’ security including cloud computing security, smart grid/city security, and E-Health security.

Previous Experience

Through his research, Dr. Khalil  has sought to enable the deployment of Wireless Ad Hoc and Sensor networks (WAHAS) in situations where the data is critical, e.g., the monitoring of environmental conditions in a public place like an airport. He has developed a comprehensive suite of protocols to enable mobility in such environments, e.g., cars communicating reliably and securely with one another in an ad-hoc network. He has developed the primitive called local monitoring whereby a node in a network can monitor the runtime behavior of neighboring nodes. This primitive can be applied to the detection of a large class of attacks in WAHAS networks.

Professional Experience

  • Coordinator/Information Security Track/ College of Information Technology/United Arab Emirates University/UAE (2012-2013)
  • Associate Professor/ College of Information Technology/United Arab Emirates University/UAE (2011-2013)
  • Assistant Professor/College of Information Technology/United Arab Emirates University/UAE (2007-2011)
  • Post-Doc/ Dependable Systems Lab/Purdue University/USA (2006-2007)
  • Research Assistant/Dependable Systems Lab/Purdue University/USA (2003-2006)
  • General Director/Information and Communications Center/Al-Quds Open University/Palestine (1996-2003)

Professional Associations and Awards

  • Outstanding Professor Award for outstanding performance in research, teaching, and services, College of Information Technology, UAEU, 2011
  • Research Champion Award, Dependable Computing Systems Laboratory (DCSL), Purdue University, 2007
  • Research Champion Award, Dependable Computing Systems Laboratory (DCSL), Purdue University, 2006
  • Fulbright Scholarship for Ph.D. Studies, US Department of State (2003-2006)

Education

  • Ph.D., Computer Engineering, Purdue University, West Lafayette, Indiana, USA, 2006
  • M.Sc., Computer Engineering, Jordan University of Science and Technology, Irbid, Jordan, 1996
  • B.Sc., Computer Engineering, Jordan University of Science and Technology, Irbid, Jordan, 1994

Selected Research

  • I. Khalil, A. Khreishah, F. Ahmed, and K. Shuaib, "Dependable Wireless Sensor Networks for Reliable and Secure Humanitarian Relief Applications," Ad Hoc Networks (an Elsevier Journal). Accepted on June 17, 2012.
  • A. Khreishah, I. Khalil, and J. Wu, “Low Complexity and Provably Efficient Algorithm for Joint Inter and Intra-session Network Coding in Wireless Networks,” IEEE Transactions on Parallel and Distributed Systems.
  • I. Khalil and S. Bagchi, “Stealthy attacks in wireless ad hoc networks: detection and countermeasure,” IEEE Transactions on Mobile Computing, Volume 10, Issue 8, pp. 1096-1112, 2011.
  • I. Khalil, “ELMO: Energy aware local monitoring in sensor networks,” IEEE Transactions on Dependable and Secure Computing, Volume 8, Issue 4, pp. 523-536, 2011.

Follow Us

  • YouTube
  • Twitter
  • Facebook
  • RSS Feed
  • Linkedin
  • github-web.png
Back to Top

In the Media

overweight-experiment-pic.jpg

Computer vision research aims to identify overweight people from social media face photos

16/03/2017

Researchers from MIT and the Qatar Computing Research Institute have developed a novel new facility in the current rush of interest towards computer vision – an algorithm that can identify overweight...

Read More

algorithm bridge.jpg

Algorithm can create a bridge between Clinton and Trump supporters

20/02/2017

A growing number of people have expressed their concern about high levels of polarization in society. For instance, the World Economic Forum's report on global risks lists the increasing societal ...

Read More

Yahoo Tech.JPG

The hero big data needs? Data Civilizer helps scientists conquer the clutter

29/01/2017

Big data is a big deal. With these huge data sets, analysts can gain unprecedented insight into the hidden patterns of fields like physics, healthcare, and finance. Collecting and analyzing this data...

Read More

Upcoming Events

Past Events

2017

Slide1.JPG

QCRI-MIT CSAIL Annual Research Project Review 2017

Download ICS File 27/03/2017 ,

The QCRI – MIT CSAIL Annual Research Project Review is open to the public on Monday, March 27, 2017, at the HBKU Research Complex Multipurpose Room. The annual meeting is a highlight of a ...

Read More

MLDAS 2017

(MLDAS 2017) Machine Learning and Data Analytics Symposium

Download ICS File 13/03/2017  - 14/03/2017 , Qatar National Convention Centre

Machine Learning and Data Analytics Symposium - MLDAS 2017 Building on the success of the three previous events , Boeing and QCRI will hold the Fourth Machine Learning and Data Analytics Symposium (...

Read More

ArabWic for web.jpg

Women in Data Science

Download ICS File 03/02/2017 ,

Here's a great chance to learn about the latest data science-related research in multiple domains, as part of a global project. Qatar's WiDS event will be held here at the HBKU Research Complex on ...

Read More

News Releases

EMan pic for internships (2).jpg

QCRI summer 2017 internship applications open

11/03/2017

The Qatar Computing Research Institute, part of Hamad bin Khalifa University, has announced that applications for its summer internship program have opened. The internships are being offered to ...

Read More

Patrick Winston pic (2).jpeg

Leading AI expert Patrick Winston to visit Qatar

05/03/2017

Patrick Winston, a Professor of Artificial Intelligence and Computer Science at Massachusetts Institute of Technology’s Computer Science and Artificial Intelligence Laboratory, is to visit Qatar to ...

Read More

MLDAS 2016.JPG

Boeing Partners with QCRI for fourth annual Machine Learning and Data Analytics Symposium (MLDAS)

09/02/2017

The Boeing Company has announced that it will once again partner with the Qatar Computing Research Institute (QCRI), part of Hamad bin Khalifa University, to host the fourth annual Machine Learning ...

Read More