Khaled R. Ahmed

Assistant Professor
Graduate Program Director



School of Computing
Southern Illinois University
Carbondale, IL, USA 62901
1230 Lincoln Drive, Engineering A. Room 409G
Phone: +1 618-453-6057
Fax: +1 618-453-6044
E-mail: kahmed@cs.siu.edu

Research Areas:
  • Big Data
  • Software Engineering
  • Deep learning
  • Parallel and Distributed Computing

Ongoing Research Activities
    Research interest is to develop real-time Video Surveillance Applications. We employ Deep learning techniques along with apache spark to handle big-data video streams. We are working on developing systems using autonomous drones for Monitoring buildings such as school, Mall, etc. Anti-terror operations and surveillance of large festivals, sports, concerts, and events. Recovery after natural disasters such as flood, earthquake, booming or mass shooting. Drone will detect victims as it may locate a leg/hand sticking out from under rubble or above a pile of wooden blocks and a hand waving at a distance. Detecting weapons in advance even a apart of it is hidden. Drones feed the developed system with video-streams to deep learning model that is responsible to detect objects such any weapons in the terror scene, leg in disasters areas and etc.
    Current Research interests:
  • Big data real-time video analysis framework
  • Deer-vehicle Accident Avoidance System
  • Stop School Violence System



Completed Research Projects
  • Design and Deployable GPS-Based System to Avoid Camel-Vehicle Accidents , AT-4-3, supported by King Abdulaziz City for Science and Technology, 2010-2012. Role: Co-I (however founder of the project).
  • Load balancing algorithm for Peer-to-Peer Systems , supported by DSR, KFU, Saudi Arabia, 2011-2012 Role: PI
  • Peer-Peer Efficient Load Balancing , supported by Deanship of Scientific Research (DSR), King Faisal University (KFU), Saudi Arabia, 2012-2013. Role: PI.
  • Parallel algorithm of Time-Domain Analysis on a Rectangular Reflector Antenna , supported by DSR, KFU, Saudi Arabia, 2014-2015. Role: Co-I
  • Developing an Efficient Parallel Template Matching algorithm for inspecting Fabric defects of products in KSA factoriesv , supported by DSR, KFU, Saudi Arabia, 2014-2015. Role: PI
  • Parallel-based Techniques for Managing and Analyzing the Performance on Semantic Graph, supported by DSR, KFU, Saudi Arabia, 2017-2018. Role: C0-I.