Events

Sep 11 - Sep 18, 2022

• 

  Solvers for Coupled Problems in Porous Media Science

  Arne Naegel

  Sep 13, 12:00 - 13:00

  B9 L2 R2322

  applied statistics

  No abstract is available.
• 

  Defeating the attacks from bots scrapers hiding behind residential proxy IPs

  Marc Dacier, Professor, Computer Science

  Sep 12, 12:00 - 13:00

  B9 L2 R2322 H1

  operational security resilient computing

  This talks presents a very serious emerging threat: the bots scraping web sites and hiding their IPs thanks to residential IP providers. The problem, state of the art and a new solution will be explained.

Sep 4 - Sep 18, 2022

• 

  Raman characterization in Nitride

  Bei Ma, Electrical and Electronic Engineering, Chiba University, Japan

  Sep 11, 12:00 - 13:00

  B9 L2 R2322 H1

  Raman characterization in Nitride

  Raman spectroscopy has been used extensively to characterize the strain, defect density, and doping levels in semiconductors. We will introduce Raman spectroscopy in Nitride materials to estimate the crystal quality, and carrier concentration, which is determined by vibration modes.

Sep 4 - Sep 11, 2022

• 

  Pore-Scale Two-Phase Flows: Modeling, Algorithms, and Applications

  Shuyu Sun, Professor, Earth Science and Engineering

  Sep 6, 15:30 - 17:00

  B1 L3 R3119

  Multiphase flows

  Abstract Two or multiple phases in fluid mixture commonly occur in petroleum industry, where oil, gas and water are often produced and transported together. Petroleum reservoir engineers spent great efforts in drainage problems arising from the development and production of oil and gas reservoirs so as to obtain a high economic recovery, by developing, conducting, and interpolating the simulation of subsurface flows of reservoir fluids, including water, hydrocarbon, CO2, H2S for example in porous geological formation. Field-scale or Darcy-scale simulation has conventionally and routinely used
• 

  Low Rank Everywhere (Almost)

  David Keyes, Senior Associate to the President, King Abdullah University of Science and Technology

  Sep 6, 12:00 - 13:00

  B9 L2 R2322

  computational science low rank hierarchical low rank data sparsity

  Tile low-rank and hierarchical low-rank matrices can exploit the data sparsity that is discoverable all across computational science. We illustrate in large-scale applications and hybridize with similarly motivated mixed precision representations while featuring ECRC research in progress with many collaborators.
• 

  Communication-Efficient Distributed Newton-type Algorithms for Federated Learning

  Mher Safaryan, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

  Sep 5, 12:00 - 13:00

  B9 L2 R2322 H1

  machine learning

  In this talk, I will discuss communication compression and aggregation mechanisms for curvature information in order to reduce these costs while preserving theoretically superior local convergence guarantees.

Aug 28 - Sep 11, 2022

• 

  Resilience is the Cybersecurity of the XXI century, and here's why! - 2022-09-04

  Sep 4, 12:00 - 13:00

  B9 L2 R2322

  Resilience is the Cybersecurity of the XXI century

  In a nutshell, Resilient Computing is a new paradigm based on modelling, architecting and designing computer systems so that: they have built-in baseline defences; such defences cope with virtually any quality of threat, be it accidental faults, design errors, cyber-attacks, or unexpected operating conditions; provide incremental protection of, and automatically adapt to, a dynamic range of threat severity; provide sustainable operation.

Aug 28 - Sep 4, 2022

• 

  Compound Semiconductor Weekend

  Integrated Photonics Laboratory; Smart, Advanced Memory devices and Applications Laboratory; Photonics Laboratory; Advanced Semiconductor Laboratory

  Sep 3, 09:00 - Sep 5, 17:00

  B3 L5 R5209

  The Compound Semiconductor Weekend will focus on some of the most important research areas on the beautiful KAUST campus by the Red Sea. It features 18 invited and contributed oral talks and a poster competition. Semiconductor technology is a major foundation of the third and fourth Industrial Revolutions as well as the modern society. While silicon remains as the widest-employed semiconductor, compound semiconductors have emerged from lab research to becoming the second most widely used within a short period of time. This is because compound semiconductors could possess multiple superior key properties simultaneously. They include high speed, high power, and efficient light emission and absorption, as well as that they can be produced in large scale at low cost and are highly robust. As a result, they have become cornerstones of many crucial technologies including lighting, display, communication, space exploration, and electric vehicles. While semiconductor researchers are plowing deeper for those technologies, compound semiconductors attract increasing attention for future computing, memory, and quantum information science as the pursuit of Moore’s Law has slowed down dramatically when the size of silicon transistors is approaching the physical limit of a few atoms.
• 

  Emergence of transportation networks as a self-regulated process

  Jan Haskovec, Senior Research Scientist, Applied Mathematics and Computational Sciences

  Aug 30, 15:30 - 17:00

  B1 L3 R3119

  random process transportation networks

  In this talk, we shall explain how transportation networks emerge as a self-regulating process, with a particular focus on applications in biology (leaf venation in plants, neuronal networks in animals). We start by introducing a purely diffusive model with tensor-valued diffusivity, derived as a gradient flow of a broad class of entropy dissipations. The introduction of a prescribed electric potential leads to the Fokker-Planck equation. We show that with quadratic entropy density modeling Joule heating, the model is convex with respect to the diffusivity tensor.
• 

  Introduction to AMCS / STAT Graduate Seminar 398

  Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences

  Aug 30, 12:00 - 13:00

  B9 L2 R2322

  In this section, prof. Gabriel will be introducing the graduate seminar and its requirements.
• 

  Which came first: the paper or the peer-review?

  Marco Canini, Associate Professor, Computer Science

  Aug 29, 12:00 - 13:00

  B9 L2 R2322 H1

  This talk presents some perspectives on doing research in computer science and publishing through the peer review process.

Aug 21 - Sep 4, 2022

• 

  Towards Sustainable Cities: Enabled by City Scale Digital Twins

  Shehab Ahmed, Professor, Electrical and Computer Engineering

  Aug 28, 12:00 - 13:00

  B9 L2 H1

  Towards Sustainable Cities

  The remainder of the talk will focus on an ongoing effort to assess a city’s ecological impact through city scale digital twins.

Jul 24 - Jul 31, 2022

• 

  Communications, Computing, and Security for the Internet of Things Era and Beyond

  Hesham Elsawy, Assistant Professor, Electrical Engineering Department, King Fahd University of Petroleum and Minerals (KFUPM)

  Jul 26, 16:00 - 17:00

  B1 L3 R3119

  communications computing

  This talk will first discuss the communications, computation, and security challenges for the IoT era and motivate a systematic methodology to address them. The talk will then overview some relevant problems and their potential solutions. Future research direction will also be highlighted.

Jul 17 - Jul 24, 2022

• 

  Ultra-Dense LEO Satellite-based Communication Systems: A Novel Modelling Technique

  Mustafa Kishk, Assistant Professor Maynooth University, Electronic Engineering Department

  Jul 20, 16:00 - 17:00

  B1 L3 R3119

  Stochastic Geometry Energy Harvesting Wireless Networks UAV-enabled Communication Systems

  In this talk, we discuss a recently proposed mathematical framework that enables tractable analysis of LEO satellite-enabled communication systems while capturing the influence of satellites’ numbers and altitudes as well as the spatial distribution of earth stations. Firstly, we describe how the stochastic geometry-based framework is modeled and discuss its accuracy. Next, we provide a detailed example of where this framework can be used for coverage analysis. Furthermore, we discuss how this framework can be used to study routing and end-to-end latency analysis in such networks. Realistic values from existing constellations, such as OneWeb and Starlink, are further used as case studies in this talk.
• 

  Liquid Metal-Based Inertial Sensors for Motion Monitoring and Human Machine Interfaces

  Wedyan Babatain, Ph.D. Student, Electrical and Computer Engineering

  Jul 19, 15:00 - 16:00

  B2 B3 A0215

  nanofabrication flexible electronics wearable devices sensors

  In this dissertation, the development of novel practical resistive and capacitive-type inertial sensors using liquid metal as a functional proof mass material is presented. Utilizing the unique electromechanical properties of liquid metal, the novel inertial sensor design confines a graphene-coated liquid metal droplet inside tubular and 3D architectures, enabling motion sensing in single and multiple directions. Combining the graphene-coated liquid metal droplet with printed sensing elements offers a robust fatigue-free alternative material for rigid, proof mass-based accelerometers. Resistive and capacitive sensing mechanisms were both developed, characterized, and evaluated. Emerging rapid fabrication technologies such as direct laser writing and 3D printing were mainly adopted, offering a scalable fabrication strategy independent of advanced microfabrication facilities. The developed inertial sensor was integrated with a programmable system on a chip (PSoC) to function as a stand-alone system and demonstrate its application for real-time- monitoring of human health/ physical activity and for soft human-machine interfaces. The developed inertial sensor architecture and materials in this work offer a new paradigm for manufacturing these widely used sensors that have the potential to complement the performance of their silicon counterparts and extend their applications.
• 

  Bruce Lee Inspired Fluid Antenna Systems for 6G

  Prof (Kit) Kai-Kit Wong, Professor of Wireless Communications, Department of Electronic and Electrical Engineering, University College London, UK

  Jul 18, 16:30 - 17:30

  B1 L3 R3119

  6G communications

  In this talk, I will speak on a novel antenna technology, referred to as fluid antenna, that adopts a software-controlled, position-flexible antenna to operate on the best signal envelope within a given space. This talk presents some early results on fluid antenna systems, which shows its potential for improving wireless communication performance.

Jul 3 - Jul 10, 2022

• 

  Mean-Field Games on Networks and Wardrop Equilibria - PhD Dissertation Defense

  Fatimah H. Al Saleh, PhD Student, Applied Mathematics and Computational Sciences, KAUST, Saudi Arabia

  Jul 6, 10:00 - 12:00

  KAUST

  This thesis consists of three main parts. In the first part, we discuss first-order stationary mean-field games (MFGs) on networks. In the second part, we discuss the Wardrop equilibrium model on networks with flow-dependent costs and its connection with stationary MFGs. First, we build the Wardrop model on networks. Second, we show how to convert the MFG model into a Wardrop model. Next, we recover the MFG solution from the Wardrop solution. Finally, we study the calibration of MFGs with Wardrop travel cost problems. In the third part, we explain the algorithm for solving the algebraic system associated with the MFG numerically, then, we present some examples and numerical results.
• 

  Integrated Photonic Devices for Sensing and Telecom Applications

  Prof. Hugo E. Hernandez Figueroa, University of Campinas (UNICAMP)

  Jul 6, 10:00 - 11:30

  B3 L5 R5209

  Integrated Photonics technology

  This talk will be focused on Integrated Photonics technology, which demands strong and robust confinement of light in order to attain the maximum possible integration of photonics devices on a single chip. Keeping this in mind, three applications based on LEMAC’s recent developments will be presented in this talk.
• 

  Metaverse Virtual Service Management: Game Theoretic Approaches

  Prof. Dusit Niyato, Computer Science and Engineering, Nanyang Technological University, Singapore

  Jul 5, 10:45 - 12:05

  KAUST

  Metaverse Virtual Service Management

  Metaverse is the next-generation Internet after the web and the mobile network revolutions, in which humans (acting as digital avatars) can interact with other people and software applications in a three-dimensional (3D) virtual world. In this presentation, we first briefly introduce major concepts of Metaverse and the virtual service management. Then, we discuss applications of game theory in the virtual service management.

Jun 26 - Jul 3, 2022

• 

  Innovations in LED Wireless Communication Systems - Reviewing technical innovations that may make a difference

  Prof. Jean-Paul Linnartz, Electrical Engineering, Eindhoven University of Technology

  Jun 30, 16:00 - 17:00

  KAUST

  wireless communication systems LED Wireless Communication Systems

  With the transition from traditional to LED light sources, the lighting industry has changed completely. Lighting systems have become intelligent and connected.
• 

  Drug Repositioning through the Development of Diverse Computational Methods using Machine Learning, Deep Learning, and Graph Mining

  Maha Thafar, Ph.D. Student, Computer Science

  Jun 30, 08:30 - 10:30

  KAUST

  Computational biology machine learning Deep learning graph mining

  In this dissertation, we combined artificial intelligence and machine/deep learning with chemical and biological properties to develop several computational methods to solve biomedical domain problems, specifically drug repositioning, and demonstrated their efficiencies and capabilities. We developed three network-based DTI prediction methods using machine learning, graph embedding, and graph mining. These methods significantly improved prediction performance, and the best-performing method even reduces the error rate by more than 33% across all datasets compared to the best state-of-the-art method. As it is more insightful to predict continuous values that indicate how tightly the drug binds to a specific target, we conducted a comparison study of current regression-based methods that predict drug-target binding affinities (DTBA). Our methods demonstrated their efficiency and capability by achieving high prediction performance and identifying therapeutic targets for several cancer types. We further conducted a lung cancer case study of findings that support the novel predicted targets.
• 

  IoT via 5G and Beyond 5G Satellite Systems

  Prof. Giovanni Giambene, Information Engineering and Mathematics, University of Siena, Italy

  Jun 28, 12:50 - 14:00

  KAUST

  5G IoT Satellite Systems

  One of the key drivers for next-generation mobile communications is the support of the Internet of Things (IoT), with billions of objects connected to the Internet and very low latency. The 5G technology will support the realization of smart cities, smart environments, and big data applications.
• 

  Better Methods and Theory for Federated Learning: Compression, Client Selection, and Heterogeneity

  Samuel Horváth, Ph.D. Student, Statistics

  Jun 27, 18:00 - 20:00

  B5 L5 R5209

  Federated learning Optimization for Machine Learning

  Federated learning (FL) is an emerging machine learning paradigm involving multiple clients, e.g., mobile phone devices, with an incentive to collaborate in solving a machine learning problem coordinated by a central server. FL was proposed in 2016 by Konecny et al. and McMahan et al. as a viable privacy-preserving alternative to traditional centralized machine learning since, by construction, the training data points are decentralized and never transferred by the clients to a central server. Therefore, to a certain degree, FL mitigates the privacy risks associated with centralized data collection. Unfortunately, optimization for FL faces several specific issues that centralized optimization usually does not need to handle. In this thesis, we identify several of these challenges and propose new methods and algorithms to address them, with the ultimate goal of enabling practical FL solutions supported with mathematically rigorous guarantees.

Jun 19 - Jul 3, 2022

• 

  Tutorial: Pathway to Wide and Ultrawide Bandgap Semiconductor Power Electronics - Session 2

  Prof. Biplab Sarkar, ECE, Indian Institute of Technology

  Jun 26, 14:00 - 16:00

  B3 L5 R5220

  power electronics Electronic devices renewable energy integration

  In this talk, Dr. Sarkar will introduce the history and concepts of power semiconductor devices. A special emphasis will be laid on understanding the power semiconductor device-design keeping the applications in perspective. Apart from covering traditional power electronic devices, Dr. Sarkar will also introduce emerging (ultra)wide power semiconductor devices that are expected to occupy a large market share, and their challenges. The core concepts will be thoroughly discussed with the help of examples and interactive discussions.
• 

  Tutorial: Pathway to Wide and Ultrawide Bandgap Semiconductor Power Electronics - Session 1

  Prof. Biplab Sarkar, ECE, Indian Institute of Technology

  Jun 26, 09:30 - 11:30

  B3 L5 R5220

  power electronics Electronic devices renewable energy integration

  In this talk, Dr. Sarkar will introduce the history and concepts of power semiconductor devices. A special emphasis will be laid on understanding the power semiconductor device-design keeping the applications in perspective. Apart from covering traditional power electronic devices, Dr. Sarkar will also introduce emerging (ultra)wide power semiconductor devices that are expected to occupy a large market share, and their challenges. The core concepts will be thoroughly discussed with the help of examples and interactive discussions.

Jun 19 - Jun 26, 2022

• 

  Reconfigurable Intelligent Surface for Next-Generation Networks

  Jia Ye, Ph.D., Electrical and Computer Engineering

  Jun 23, 16:00 - 18:00

  B1 L3 R3123

  Next-Generation Networks Reconfigurable Intelligent Surfaces 5G and beyond

  Reconfigurable intelligent surfaces (RISs) are now considered among the key enabling technologies for 6G systems. Empowered by the recent advances in meta-material, RISs are equipped with a large number of low-cost passive elements that allow for the modification of the radio waves in that they reflect, refract, and scatter radio signals in a controllable fashion to counteract the destructive effect of multipath fading. These features can be leveraged to transform the propagation environment into a smart space that can be programmable for the benefit of the communication application. Throughout this proposal, we study RIS-assisted systems from different perspectives, including performance analysis, system optimization, and channel estimation, to analyze and enhance the operation of such systems in different setups. Some possible future research directions to be considered are also highlighted.
• 

  How to make practical RIS techniques (and evaluate them)?

  Prof. Junil Choi, Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST)

  Jun 21, 10:50 - 12:35

  KAUST

  RIS techniques reflecting intelligent surface

  In this talk, I will first explain low-complexity, non-iterative, and near-optimal RIS (eflecting intelligent surface) joint active and passive beamformer designs for both narrowband and wideband assuming full channel information. Then, I will explain several practical channel estimation techniques for RIS systems. Lastly, I will introduce WiThRay, a versatile 3D wireless communication simulator based on ray-tracing developed by our lab, that can be used to evaluate different RIS techniques for various environments.
• 

  High-Performance Scientific Applications Using Mixed Precisions and Low-Rank Approximations Powered by Task-based Runtime Systems

  Rabab Alomairy, Postdoctoral Research Fellow, King Abdullah University of Science and Technology

  Jun 20, 11:00 - 13:00

  B9 L4 R4223

  Tile Low Rank Algorithmic redesign Task based Runtime Systems

  Scientific applications from diverse sources rely on dense matrix operations. These operations arise in: Schur complements, integral equations, covariances in spatial statistics, ridge regression, radial basis functions from unstructured meshes, and kernel matrices from machine learning, among others. This thesis demonstrates how to extend the problem sizes that may be treated and reduce their execution time. Sometimes, even forming the dense matrix can be a bottleneck – in computation or storage.

Jun 12 - Jun 26, 2022

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  Localization for Internet of Underwater Things

  Prof. Nasir Saeed, Associate Professor of Electrical Engineering, Northern Border University, KSA

  Jun 19, 16:00 - 17:00

  B1 L3 R3119

  Self-Powered Internet of Underwater Things Devices

  The Internet of Underwater Things technology can be established using various underwater wireless communications technologies, including acoustic, radio frequency (RF), magnetic induction, and optical. Each of these technologies has its pros and cons; for example, acoustic technology reaches longer distances but is bandwidth limited, while underwater optical wireless communications (UOWCs) can support higher data rates at the cost of short ranges. Besides establishing communication links using these technologies, geographic data tagging of the underwater IoT nodes is also crucial and challenging for several applications. Hence, this talk will provide an overview of the rapidly evolving positioning systems and algorithms for different underwater technologies for location estimation of the underwater IoT nodes and their applications.

Jun 12 - Jun 19, 2022

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  Semantic Communication Meets Edge Intelligence

  Prof. Dusit Niyato, Computer Science and Engineering, Nanyang Technological University

  Jun 14, 11:00 - 12:00

  KAUST

  Semantic Communication

  In this seminar, we first give background and present the framework of the modern SemCom. Then, we discuss the general semantic extraction methods and semantic metrics used in the existing studies.

Jun 5 - Jun 19, 2022

• 

  How Can Data Science Change Everyday Life?

  Prof. Wadii Boulila, Computer Science, Prince Sultan University

  Jun 12, 16:00 - 17:00

  B1 L3 R3119

  This talk will present our recent research works related to the application of data science in the environment, healthcare, and social media.

Jun 5 - Jun 12, 2022

• 

  UAV for Wireless Communications

  Prof. Yunfei Chen, Engineering, University of Warwick

  Jun 9, 11:00 - 12:00

  B1 L2 R2202

  UAV for Wireless Communications

  Unmanned aerial vehicles (UAV) have gained great popularity in recent years due to their decreasing cost and increasing functionality. In wireless communications, they are mainly used as aerial platforms to enable information delivery or power transfer. In this talk, applications of UAV in wireless communications are discussed.
• 

  Joint Posterior Inference for Latent Gaussian Models and extended strategies using INLA

  Cristian Chiuchiolo, Ph.D. Student, Electrical and Computer Engineering

  Jun 6, 15:00 - 17:00

  B3 L5 R5209

  Bayesian computational statistics Bayesian Statistics

  Bayesian inference is particularly challenging on hierarchical statistical models as computational complexity becomes a significant issue. Sampling-based methods like the popular Markov Chain Monte Carlo (MCMC) can provide accurate solutions, but they likely suffer a high computational burden.

May 29 - Jun 5, 2022

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  Impact of Digital Technology on Agriculture and Environment

  Full Professor Cheikh Ahmadou Bamba, University Cheikh Anta Diop, Dakar, Senegal

  Jun 2, 16:00 - 17:00

  B1 L3 R3119

  Digital mobile technology

  We aim to depict a couple of digital technologies-based applications that tackle population health as well efficient mobility for fishermen and breeders. For sustainable livestock farming in Senegal, transhumance is still performed and plays a very important role in the regulation of macroeconomic balances and social cohesion. According to climate change and fishing opportunities between Senegal, other countries fishes are far away from Senegalese coastal.
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  Stochastic differential games, network of networks and the crowd evacuation problem

  Dr. Julian Barreiro Gomez, Center on Stability, Instability, and Turbulence (SITE) at the New York University in Abu Dhabi

  Jun 1, 16:00 - 17:00

  B1 L4 R4102

  In this talk, we present a class of stochastic differential games that can incorporate the distribution of the variables of interest (e.g., the system states and/or decision-makers' actions) into the strategic-interaction problem. We motivate the use of this type of differential games in networked large-scale applications that cover a high variety of engineering systems. In particular, we focus on the crowd evacuation problem. First, we only consider local aggregated congestion terms that penalize the magnitude of the decision-makers’ strategies allowing us to avoid the formation of congestion. Second, we consider both local and global aggregated congestion terms to perform crowd aversion during the evacuation procedure. We present some numerical results and few future directions, e.g., the case where decision-makers do not have prior knowledge about the geometry of the structure to be evacuated neither the existing obstacles.
• 

  Distributed beam tracking for vehicular communications via UAV-assisted cellular network

  Prof. Young-Chai Ko, School of Electrical Engineering, Korea University

  Jun 1, 16:00 - 17:00

  B1 L3 R3119

  communication systems

  In this talk, a distributed beam tracking scheme for millimeter-wave unmanned aerial vehicle (UAV)- assisted communication systems is presented. In the considered systems, aerial node base (aNB) connects the ground vehicles (GV) through directive beams to mitigate the path loss. However, line-of-sight (LoS) blockage may result in the link disconnection, which leads to the corruption of observations. To solve this issue, we extend the one-to-one beam tracking into the multi-node cooperative beam tracking scheme.
• 

  Critical Infrastructures and Satellites Security

  Roberto Di Pietro, Full Professor in Cybersecurity, Hamad Bin Khalifa University

  Jun 1, 08:30 - 09:30

  B9 L2 H2325

  Critical Infrastructures (CIs) are the cornerstone Economics and Society rely upon. In this talk, we will start with surveying some of the threats different CIs are subject to, highlighting some research problems and related results.
• 

  Distributed Multi-Antenna Communications with Radio Stripes

  Prof. Emil Björnson, KTH Royal Institute of Technology, Stockholm, Sweden

  May 31, 16:00 - 17:00

  KAUST

  5G networks Future

  In this talk, we will consider an alternative approach for future networks: serve the users by antennas that are distributed over the coverage area. By shifting from a world where base stations are surrounded by users, to a world where each user is surrounded by antennas, we can deliver almost uniformly good data rates wherever the user is. This concept has recently been called Cell-Free Massive MIMO. A core practical challenge is to deploy such a distributed MIMO array affordably. One potential approach is to use radio stripes, which are cables with integrated antennas. We will take a close look at how these can be implemented and recent results on how communications algorithms can be designed to exploit their special characteristics.

May 22 - Jun 5, 2022

• 

  Differentially private testing of symmetry equivalence hypotheses based on the characteristic function

  Prof. Simos G. Meintanis, University of Athens

  May 29, 15:30 - 16:30

  B1 L4 R4102

  Differential privacy Neighborhood of model validation Symmetry testing

  We investigate privacy aspects of tests for symmetry equivalence null hypotheses. Specifically, we consider weighted L2 type tests as well as chi-squared type tests for multivariate symmetry based on the characteristic function, and their privacy properties are specifically quantified within the context of differential privacy. We consider both the case of known centre as well as tests for symmetry about an unknown centre.
• 

  Network processing in the NIC: the case for specialized hardware architectures

  Prof. Giuseppe Bianchi, University of Roma Tor Vergata, Italy

  May 29, 12:00 - 13:00

  B9 Hall R2325

  Network specialized hardware architectures

  In the last decade, the networking research community has significantly fueled the network softwarization and virtualization trend. Network processing tasks, originally performed by dedicated hardware appliances, were converted into software components running on commodity hardware, and deployed in relevant cloud infrastructures (central and/or edge).

May 22 - May 29, 2022

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  Mathematical Problems in Deep Learning

  Prof. Hailiang Liu, Department of Mathematics, Iowa State University, USA

  May 25, 15:00 - 16:00

  B1 L4 R4102

  I shall present some mathematical problems encountered in deep learning models. The results include optimal control of selection dynamics for deep neural networks, and gradient methods adaptive with energy. Some of the computational questions that will be addressed have a more general interest in engineering and sciences.
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  Challenges and opportunities for Satellite Spectrum/Orbit Access (ITU and the International Regulatory Environment)

  Prof. Yvon Henri, International Telecom Union, Geneva, Switzerland

  May 24, 16:00 - 18:00

  KAUST

  satellite communication orbit access environment

  Noting that the trend of development and utilization of small satellite technologies is a global phenomenon, and it is expected to bring benefits to the entire world, including both developed and developing economies, this talk goes over different spectrum & orbit access issues related to the development and deployment of these small satellite networks.

May 15 - May 22, 2022

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  Computational Nanophotonics: Basics, Challenges and Future Perspectives

  Professor Salah S. A. Obayya

  May 19, 16:00 - 16:45

  B3 L5 R5209

  Abstract Nanophotonics modelling for 21st century applications is becoming vital. The computational modeling provides a fundamental understanding of the relying physics behind the operation of photonic devices. However, computational modeling is still a challenge as some of the existing modeling techniques fail to capture the correct behavior of nano-photonic devices. In this regard, this talk will introduce an overview of the existing computational modeling tools for analyzing photonic devices, in general, and highlighting their salient features and shortcomings. It is well known that
• 

  On the Precipice of a Global Transition Toward Electric Vehicles

  Peter Rawlinson, the Chief Executive Officer and Chief Technology Officer of Lucid

  May 19, 14:30 - 15:30

  B20 L2 R2011

  Global Transition Toward Electric Vehicles Revolutionary technology

  In this wide-ranging conversation with Peter Rawlinson, Lucid Motors’ CEO and CTO, he will discuss why he believes the world is on the precipice of a global transition toward electric vehicles, and how Lucid’s revolutionary technology and design will be at the forefront of one of the most significant transformations of our time.
• 

  It is Okay to not be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection (ArtEmis 2.0)

  Mohamed Elhoseiny, Associate Professor, Computer Science

  May 16, 12:00 - 13:00

  B9 R2322 H1

  Datasets that capture the connection between vision, language, and affection are limited, causing a lack of understanding of the emotional aspect of human intelligence. As a step in this direction, the ArtEmis dataset was recently introduced as a large-scale dataset of emotional reactions to images along with language explanations of these chosen emotions.

May 8 - May 22, 2022

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  Why Today’s Neural Networks Still Use the 1943 McCullosh and Pitt’s Neuron Model?

  Prof. Moncef Gabbouj, Department of Computing Sciences, Tampere University

  May 15, 14:00 - 15:00

  B1 L3 R3119

  Linear neural network

  Operational Neural Networks (ONNs) are new generation network models targeting to address two major drawbacks of conventional Convolutional Neural Networks (CNNs): the homogenous network configuration and the “linear” neuron model that can only perform linear transformations over previous layer outputs. ONNs can perform any linear or non-linear transformation with a proper combination of “nodal” and “pool” operators.
• 

  Stochastic Numerics and Statistical Learning: Theory and Applications Workshop

  Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)

  May 15, 08:00 - May 28, 17:00

  KAUST Campus

  This scientific meeting will concentrate on stochastic algorithms and their rigorous numerical analysis for various problems, including statistical learning, optimization, and approximation. Stochastic algorithms are valuable tools when addressing challenging computational problems.

May 8 - May 15, 2022

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  Non-matching methods for the simulation of multi-dimensional and multi-physics coupled problems

  Prof. Luca Heltai, Applied Mathematics, International School for Advanced Studies

  May 12, 15:00 - 16:00

  B1 L4 R4102

  Real life multi-phase and multi-physics problems coupled across different scales present outstanding challenges, whose practical resolution often require unconventional numerical methods.
• 

  An Introduction to the Boltzmann equation - Part 3

  Prof Daniela Tonon, Department of Mathematics, University of Padova, Italy

  May 12, 14:00 - 16:00

  KAUST

  In this course, we introduce the Boltzmann equation, i.e. the equation that describes the behavior of rarefied gases at a mesoscopic scale. This scale can be considered as in between the microscopic scale (where the gas is described as a set of a large number of particles) and the macroscopic one (where the gas is described as a continuum fluid). Starting from the classical free transport equation, we will describe the crucial role of the collisional operator that can be deduced from physical assumptions. In particular, we will focus on the formal derivation of the Boltzmann equation and on the techniques used to cope with its particular, highly singular, collisional operator, in the study of the Cauchy problem. We will conclude with the study of the Boltzmann equation in the more physically relevant case of bounded domains, considering several different boundary conditions such as in flow, specular reflection, bounce-back reflection and diffuse boundary conditions.
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  An Introduction to the Boltzmann equation - Part 2

  Prof Daniela Tonon, Department of Mathematics, University of Padova, Italy

  May 11, 15:00 - 17:00

  KAUST

  In this course, we introduce the Boltzmann equation, i.e. the equation that describes the behavior of rarefied gases at a mesoscopic scale. This scale can be considered as in between the microscopic scale (where the gas is described as a set of a large number of particles) and the macroscopic one (where the gas is described as a continuum fluid). Starting from the classical free transport equation, we will describe the crucial role of the collisional operator that can be deduced from physical assumptions. In particular, we will focus on the formal derivation of the Boltzmann equation and on the techniques used to cope with its particular, highly singular, collisional operator, in the study of the Cauchy problem. We will conclude with the study of the Boltzmann equation in the more physically relevant case of bounded domains, considering several different boundary conditions such as in flow, specular reflection, bounce-back reflection and diffuse boundary conditions.