December 21, 2014
In contrast to conventional cellular networks, devices in wireless multihop networks have dual roles: while each device is a source of information it also acts as a router for its peers. Passing information from a source to its respective destination (i.e. packet routing) is a collective effort by all means. Identifying the most efficient route is crucial for creating a reliable and fast network. Depending on the underlying application, devices in a multihop network may be interconnected to a backbone communications infrastructure or may be running in autonomous mode.
November 15, 2014
At the sensors lab, studentsunder the supervision of Prof. K.N. Salama are exploring new computing technologies miming the way our brains process and store data. In particular, the work of PhD student Mohammed Zidan on memristors and Resistive memory arrays (ReRAM) is of great significance. ReRAM potentially address many of the challenges facing such a task. Using memristors to build neural networks reduces the required area significantly compared to classical circuits.
October 27, 2014
Prof. Muhammad Hussain’s Integrated Nanotechnology Lab at KAUST has demonstrated record breaking stretching in mono-crystalline silicon without support from any naturally stretchable material like polymer or such.
October 19, 2014
Showail, a PhD candidate at the Networking LAB led by Prof. Basem Shihada, has
published a journal entitled “Buffer Sizing in Wireless Networks: Challenges,
Solutions, and Opportunities,” in the IEEE Communication Magazine.
October 15, 2014
The whole research work was carried out in KAUST (KAUST Advanced Nanofab – state of the art fabrication facility, Imaging and Characterization Lab and in the Integrated Nanotechnology Lab @ KAUST) by the KAUST graduate students only under the leadership of Associate Professor Muhammad Mustafa Hussain.
September 24, 2014
Dr. Tareq Y. Al-Naffouri, published a paper entitled “Impulse Noise Estimation and Removal for OFDM systems” in IEEE Transactions on Communication (IEEE TCOM) in March 2014. In this paper, an efficient method is proposed to estimate and mitigate the effect of impulsive noise, a limiting factor in the performance of digital subscriber line (DSL) and power line communication (PLC) systems.
August 20, 2014
Omar Arif, a postdoctoral researcher in the Computational Vision Lab, headed by Prof. Ganesh Sundaramoorthi has created, along with collaborators, new interactive segmentation and tracking tools specifically tailored for detecting and tracking structures in medical images (MRI, CT). Many cardiovascular clinical applications (e.g., detection of arrhythmias - a heart ailment, and surgical planning for inserting pacemakers) require accurate shape estimates of the heart muscle (myocardium) and ventricles as they deform in time.
April 19, 2014
Abdulrahman Alabbasi, a PhD student at the Networking LAB led by Prof. Basem Shihada, has published a paper titled “Energy Efficiency and SINR Maximization Beamformers for Cognitive Radio Utilizing Sensing Information” in the International Symposium on Information Theory (ISIT) 2014. ISIT is considered among the top leading conferences in information theory.
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April 18, 2014
Eman's group develops an algorithm for physiological characterization of small regions of the brain, based on functional Magnetic resonance Imaging experiments. A hierarchical approach, combining an adaptive observer and the modulating functions techniques, is proposed to estimate both the physiological variables such as the cerebral blood flow and the deoxyhemoglobin concentration and the hemodynamic parameters intrinsic to the studied area of the brain.