Abstract

In this talk, I will describe the family of mean-mixtures of m

 

Abstract

Machine learning (ML) is vulnerable to security and privacy attacks.

The workshop will cover current trends in statistics and the statistical modeling of complex data for health, environment, and sustainability.

 

Abstract

Internet of Things (IoT) applications can exploit energy harvesting syst

Abstract

Free boundary problems arise naturally in a range of mathemati

InGaN-based monolithic RGB LED arrays would be the key to producing micro-LED displays. The micro-LED displays will reduce the frequency of battery charging for mobiles and make head-mount displays thinner and lighter weight. It will become a game changer.

Abstract

Spatial data analysis commonly needs to deal with spatial data

In this talk we propose and validate a Space Multiscale model for the description of particle diffusion in the presence of trapping boundaries. We start from a drift diffusion equation in which the drift term describes the effect of bubble traps, and it is simulated by the Lennard–Jones potential.

High-order discretizations coupled with adaptive formulations on unstructured grids are expected to be an essential component of future solvers for high-fidelity flow simulations. This work reports on the numerical properties, solution capabilities, and computational performance of a fully-discrete h/p-adaptive entropy stable discontinuous Galerkin scheme for the compressible Navier–Stokes equations.

During the last decade, the demand for wireless connection over the world has tremendously increased, including the areas where unconnected. Raising with topics like "Breaking down the data divide," "Connect to unconnected," etc. In the sixth-generation wireless network, the underwater world attracts a lot of attention. Besides that, the huge unexplored resource is another driving force for underwater exploration. Unlike the well-developed Internet of Things (IoT) on the terrestrial, there is almost no underwater wireless communication network, not to mention the underwater IoT.

Keeping in mind the current proliferation of smartphones as a popular hand-held gadget (with adequate sensing and computational capabilities), we propose to use smartphones as a health diagnostic tool for do-it-yourself (DIY) monitoring of one’s own health.

Highly coherent light, although beneficial in specific applications, suffers from the formation of speckles, resulting in poor imaging, lighting, and projection/display quality. Moreover, the long coherence length limits the resolution in interference based sensing. The aim of this dissertation is to design low-coherence surface-emitting lasers to push simultaneous illumination and optical wireless communication (OWC) toward reliable implementation with higher speeds.

Security and privacy systems are often composed of complex components and details. However, users’ experience shouldn’t be as complex. In this seminar, Eman will discuss the human factor in the security and privacy chain. While human privacy perceptions and behaviors have been investigated in Western societies, little is known about these issues in non-Western societies.

Abstract

The goal of the least squares method is to find the best linea

The degenerate Cahn-Hilliard equation, initially introduced in material science, is nowadays used in several different fields, including biology (tumor growth, cell-cell adhesion) and fluid dynamics (high-friction limit in the Euler-Korteweg equation).

Heterogeneous permeability, porosity, capillary pressure, and strength are key characteristics of sedimentary and volcanic rocks in geologic reservoirs. In many cases, the heterogeneity is due to nested geological features like the mm-scale coarse-fine intercalations of cross-bedded sandstones, or the km-scale channel, levy, and overbank facies associations in a fluvial environment of deposition. Where such rocks have experienced an overprint by deformation or reactive fluid flow, initial heterogeneities might be amplified even further: fracturing can impart long-range spatial correlations on the permeability structure, strongly amplifying permeability anisotropy, even in the absence of a noticeable increase of porosity.

In this talk, we will show how, through a large scale Internet measurement campaign, we have been able to experimentally validate a novel technique to automatically detect malicious webscrapers bots taking advantage of so called Residential IP proxy providers. That technique has then been deployed in a real world environment and enabled us, thanks to a novel geolocalization technique, to identify malicious actors hiding behind these infrastructures, leading to actionable threat intelligence for the victims.

In this talk, we will go over the various projects in the lab and discuss the challenges faced by lab members and the opportunities that exist.

We study theoretical problems of fault diagnosis in circuits and switching networks, which are among the most fundamental models for computing Boolean functions.

Whether the future of transportation is going to be electric or not is no longer a question. Electric vehicles (EVs) offer several benefits toward global sustainability. However, without a variety of charging infrastructures that cover diverse forthcoming charging needs, the speed of vehicle electrification may be slow and limited. In the coming years, we project that charging stations will still likely meet most personal demands. However, novel charging alternatives such as dynamic charging systems, i.e., electrified roads that wirelessly charge EVs on the go, will fit into various public and commercial scenarios. In this thesis, we present a driver-centric approach to planning these infrastructures.

We discuss the principles of WPC and we highlight its main network architectures as well as the fundamental trade-off between information and energy transfer. By following a bottom-up cross-layer approach, several examples, that deal with the fundamentals of WPC as well as its integration in modern communication systems, are presented. Specifically, we deal with circuit models for WPT, information-theoretic limits, signal processing aspects and waveform design, and system-level analysis by using stochastic geometry tools. Future research directions and challenges are also pointed out.

In the next months, KAUST expects to place into service Shaheen-3, a supercomputer with a GPU partition whose planned 1 Exaflop/s HPL AI capability would rank it in the Top 6 globally if delivered today.

It is difficult to predict the future, but ultimately, what matters is creating the future we want to live in. Our past and present are the product of our previous decisions. The decisions we make today will pave the way for the future. It is important that the right decision is made at the right time leading to the right outcome, paving the way towards the desired future.

Cross-validation is an algorithmic technique extensively used for estimating the prediction error, tuning the regularization parameter, and choosing between competing predictive rules.