Shock Wave ChaosPhysical Mathematics LabShock Wave ChaosThe Sensors Lab explores new devices, circuits, and systems for future generation low power high-density memory arraysSensors LabThe Sensors Lab explores new devices, circuits, and systems for future generation low power high-density memory arraysLarge-scale urban modeling by deeply integrating acquired and procedural models of urban structuresData-Driven Urban ModelingLarge-scale urban modeling by deeply integrating acquired and procedural models of urban structuresExfoliation of  threading-dislocation-free, gallium nitride ultra-thin, single-crystalline nanomembranesPhotonics LabExfoliation of threading-dislocation-free, gallium nitride ultra-thin, single-crystalline nanomembranesThe CTL is looking at the modeling, design, and performance evaluation of emerging and future communication systemsCommunication Theory LabThe CTL is looking at the modeling, design, and performance evaluation of emerging and future communication systemsInduction of cell death and effects on cell viability of magnetic nanowires on colon cancer cellsMagnetic Nanowires for Biomedical ApplicationsInduction of cell death and effects on cell viability of magnetic nanowires on colon cancer cellsRanking and visualization of 436 brain slice images with interactive surface boxplotSpatio-Temporal Statistics and Data AnalysisRanking and visualization of 436 brain slice images with interactive surface boxplotGenome-scale domain identification, domain function annotation and domain shufflingComparative GenomicsGenome-scale domain identification, domain function annotation and domain shufflingProfessor KetchesonNumerical AnalysisProfessor Ketcheson's group designs and analyzes stability and accuracy of numerical methods for partial differential equationsDevelopment of numerical methods of modeling nonlinear waves to study fluid dynamics, electricity and ectromagnetismNumerical Simulation of WavesDevelopment of numerical methods of modeling nonlinear waves to study fluid dynamics, electricity and ectromagnetismThe MINE group focuses on automatic knowledge discovery from large-scale and complex dataMachine Intelligence and Knowledge Engineering GroupThe MINE group focuses on automatic knowledge discovery from large-scale and complex dataFramework for solving key problems to achieve next-generation user controllable lightpaths in the cloudOptical Network for the CloudFramework for solving key problems to achieve next-generation user controllable lightpaths in the cloudSilicon nanotube FET – high performance, low leakage and area efficiency in one device for smart livingIntegrated Nanotechnology GroupSilicon nanotube FET – high performance, low leakage and area efficiency in one device for smart living
Prof. Elnozahy

Message from Dean Mootaz Elnozahy

The Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division plays a central role in the research, teaching, and outreach of the University both because its intellectual domains are evolving rapidly. Read more.​

News

  • ​KAUST Research Conference: Predictive Complex Computational Fluid Dynamics 2017

    Monday, April, 03, 2017 ​The Research Conference will focus on cutting-edge research in the field of algorithmic development for CFD and multi-scale complex flow simulations. 

     
  • Team KAUST places 3rd at the Mohamed Bin Zayed International Robotics Challenge

    Wednesday, March, 29, 2017

    A team from the King Abdullah University of Science and Technology (KAUST) competed in the inaugural Mohamed Bin Zayed International Robotics Challenge (MBZIRC), held in Abu Dhabi, UAE, March 2017, and took a 3rd place finish in the ground robotics challenge.​ 

  • Dental braces get smart

    Monday, March, 27, 2017 Prof. Muhammad Hussain from King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, developed new 'smart' braces that straighten teeth efficiently at a fraction of today's price.
  • Post-Doctoral Fellow Ahmed Bader bestowed YPs Best Innovation Award at IEEE WCNC 2017

    Wednesday, March, 22, 2017 ​Dr. Ahmed Bader, a CEMSE Post-Doctoral Fellow in electrical engineering, won the IEEE Communications Society (ComSoc) Young Professionals (YPs) Best Innovation Award at Wireless Communications and Networking Conference 2017, in San Francisco, USA, on March 22.​
  • Dr. Hesham ElSawy Elevated to Senior Member of IEEE and Recognized as an Exemplary Reviewer by the IEEE Transactions on Communications

    Sunday, March, 05, 2017 ​Dr. Hesham ElSawy has been elevated to the rank of Senior Member of IEEE, the world’s largest technical professional organization for the advancement of technology.
  • Self-destructible electronics is a Mission Impossible no more

    Friday, February, 17, 2017 ​What seemed a spy movie intriguing plot, it is now a reality. Muhammad Mustafa Hussain, Professor of Electrical Engineering, along with his team from the Integrated Nanotechnology Lab under the Computer, Electrical Mathematical Science and Engineering (CEMSE) Division, demonstrated an innovative approach for in-built remote destruction capability of high-performance silicon-based electronics in few 10s of seconds.
  • Wrist sensor for health screening

    Sunday, February, 05, 2017 ​Give a Post-It Note paper to an Electrical Engineering team and you will see it turn onto the new alley to revolutionize modern medicine; an unprecedented wearable, budget-friendly and reliable a paper-based sensor for health screening encapsulated in a silicon wrist with a recycling high-tech design.
  • DIY Challenge 2017 winner announcement

    Thursday, February, 02, 2017 Congratulations to Daniel Hickox-Young, Luke Prestowitz of Northwestern University, and Ma Yukun of National University Singapore. The three are the proud winners of the DIY Electronics Innovation Challenge 2017 that was hosted by the KAUST-NSF Research Conference on Interactive Electronics.
  • Costless and reliable 3D high-speed printing process to revolutionize decal sensors fabrication

    Friday, January, 27, 2017 ​Attempts for 3D fabrication of decal electronics were previously made. But, rigid, bulky, and planar CMOS electronics were larger in size and limited in adaptability with the human body. Unwillingly, such obsolete device creates localized heating, power-loss and grumpy data performances.
  • New Data Mining approach makes recurring patterns easier to be spotted

    Wednesday, January, 18, 2017 The ultimate answer is ScaleMine, cost-effective and agile scalable parallel frequent subgraph mining in a single large graph. Panagiotis Kalnis, Professor of Computer Science (CS), and the team from the KAUST Extreme Computing Research Center (ECRC), under the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division signed this novel approach.