Topics

<> discrete maximum principle (2) <> Disordered Plasmonics and Complex Metamaterials (2) <> disposable (2)

Flexible, Wearable, Disposable Wireless Communication and Sensing Systems Through Additive Manufacturing - 2020

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KAUST

With the advent of wearable sensors and internet of things (IoT), there is a new focus on electronics which can be bent so that they can be worn or mounted on non-planar objects. Due to large volume (billions of devices), there is a requirement that the cost is extremely low, to the extent that they become disposable. The flexible and low-cost aspects can be addressed through additive manufacturing technologies such as inkjet, screen and 3D printing. This talk introduces additive manufacturing as an emerging technique to realize low cost, flexible and wearable wireless communication and sensing systems. The ability to print electronics on unconventional mediums such as plastics, papers, and textiles has opened up a plethora of new applications. In this talk, various innovative antenna and sensor designs will be shown which have been realized through additive manufacturing. A multilayer process will be presented where dielectrics are also printed in addition to the metallic parts, thus demonstrating fully printed components. Many new functional inks and their use in tunable and reconfigurable components will be shown. In the end, many system level examples of wireless sensing applications will be shown. The promising results of these designs indicate that the day when electronics can be printed like newspapers and magazines through roll-to-roll and reel-to-reel printing is not far away.

A fully inkjet-printed disposable glucose sensor on paper

1 min read ·
Eloise Bihar, et al., "A fully Inkjet-printed Disposable Glucose Sensor on Paper". NPJ Flexible Electronics, 2(1), 2018, 1. Inexpensive and easy-to-use diagnostic tools for fast health screening are imperative, especially in the developing world, where portability and affordability are a necessity. Accurate monitoring of metabolite levels can provide useful information regarding key metabolic activities of the body and detect the concomitant irregularities such as in the case of diabetes, a worldwide chronic disease. Today, the majority of daily glucose monitoring tools rely on piercing the
<> distance learning (2) <> distributed control (2)

Samet Guler

Postdoctoral Research Fellow, Electrical and Computer Engineering
Samet Güler (M’16) received the B.S. degree in electrical and electronics engineering from Eskisehir Osmangazi University, Turkey, in 2010, the M.S. degree in electrical and electronics engineering from Bilkent University, Turkey, in 2012, and the Ph.D. degree in mechanical and mechatronics engineering from University of Waterloo, Waterloo, ON, Canada, in 2015. He worked as a short term Researcher at the University of Waterloo in 2016. He is currently a Postdoctoral Fellow at the Robotics, Intelligent Systems and Control Lab in King Abdullah University of Science and Technology, Kingdom of

Fat-hy Omar Rajab

Master's Thesis Abstract The multi-agent robotic system has been proved to be more superior in undertaking functionalities, arduous or even impossible when performed by single agents. The increased efficiency in multi-agent systems is achieved by the execution of the task in a cooperative manner. But to achieve cooperation in multi-agent systems, a good localization system is an important prerequisite. Currently, most of the multi-agent systems rely on the use of the GPS to provide global positioning information which suffers great deterioration in performance in indoor applications, and also
<> Distributed Systems Security (2) <> Distribution Agnostic Bayesian Estimation of Sparse Signals (2) <> DIY (2)

Integration Strategy for Standalone Compliant Interactive Systems for Add-on Electronics

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B9 L3 R3125

Physically compliant electronics are scientifically intriguing, mechanically complex, ‎technologically ‎challenging but with huge socio-economical potential. Until now the target applications ‎for ‎flexible electronics have been limited to displays, solar cells, printed batteries, wearables, and ‎implantable. However, with the emergence and growth of Internet of Things (IoT) devices ‎worldwide ‎from nearly 27 billion in 2017 to 125 billion in 2030, in this PhD research, expanding the ‎horizon of ‎applications for flexible electronics toward existing “things” will be explored. Low-cost sustainable materials as active electronic materials and a ‎Do-It-Yourself (DIY) integration strategy is used to build “Add-on” standalone sensory system which can be ‎attached to any ‎existing things like a decal. Such electronics can also be embedded in newly minted ‎devices specially ‎using additive methods.

Leveraging an off-the-shelf smartphone as a DIY health-diagnostic tool

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B9 L2 H2

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.
<> drilling engineering (2) <> Drilling engineering technology (2) <> Drug Combinations (2) <> drug development (2) <> Drug mechanisms (2)

Data integration and ontologies for microbial cell factories

Ontology-based data integration for synthetic biology and metabolic engineering. Hoehndorf led the data-integration work package. Period: 2016–2018 Funding KAUST Center Competitive Funding — Grant ID: FCC/1/1976-08-01 (WP-lead) — USD 115,691 Team Vladimir Bajic — PI (Former KAUST CBRC director (retired)) Robert Hoehndorf — CoI (KAUST (Professor of Computer Science)) Miguel Angel Rodriguez Garcia — Postdoc (King Juan Carlos University (Research Scientist)) Software AberOWL — Ontology repository providing OWL EL reasoning services and SPARQL query expansion; integrates with PubMed/PMC for
coe genai bcb

KAUST Center of Excellence for Generative AI (Health and Wellness, BCB theme)

Generative-AI methods applied to BCB-themed health and wellness within the KAUST Center of Excellence for Generative AI. Sub-WBS FCC/1/5940-07-02. Period: 2024–ongoing Funding KAUST Center of Excellence for Generative AI (CoE) — Grant ID: FCC/1/5940-07-02 (PI) Team Robert Hoehndorf — PI (KAUST (Professor of Computer Science)) Mahdi Bu Ali — MSc (alumnus) Publications acknowledging this project (10) (2025) Lattice-based $\mathcalALC$ ontology embeddings with saturation (2024) Neuro-symbolic AI in Life Sciences (2023) DeepGOMeta: Functional Insights into Microbial Communities with Deep Learning
<> ECCV (2) <> ecology (2) <> Efficient AI (2) <> egocentric video (2) <> elasticity (2) <> electronic circuits (2) <> electronic transport (2)

Multiphysics Simulation of Semiconductor-based Terahertz Devices

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B9 H1

Semiconductor-based terahertz (THz) devices such as photoconductive antennas (PCAs) and photomixers (PMs) are widely studied as promising candidates of THz source generation and signal detection. Recent experimental research has shown that using nanostructures in the design of these devices dramatically enhances their optical-to-THz conversion efficiency, possibly allowing their use in widespread industrial applications. However, the nanostructures also increase the complexity of design and fabrication.

Liang Chen

Education Ph.D., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2012 M.S., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2009 B.S., Applied Physics, Southeast University, Nanjing, China, 2007 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and
<> Embedded system developing (2) <> Embedded systems. (2) <> Energy Harvesting Wireless Networks (2)

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

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B1 L3 R3119

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.

Mustafa Kishk

Postdoctoral Research Fellow, Electrical and Computer Engineering
Mustafa Kishk is a Postdoctoral Research Fellow under the supervision of Prof. Slim Alouini at the Communication Theory Lab in King Abdullah University of Science and Technology (KAUST). Education and Early Career Mustafa Kishk received his Ph.D. in Electrical Engineering from the Bradley department of Electrical and Computer Engineering at Virginia Tech under the supervision of Prof. Harpreet Dhillon in 2018. He received his B.Sc. and M.S. degree in Electronics and Electrical Communications Engineering from Cairo University, Egypt, in 2013 and 2015 respectively. Research Interest Mustafa’s
<> environmental modeling (2) <> environmental research (2) <> EPFL (2) <> Ericksen-Leslie Model (2) <> Estimation Theory (2) <> Euler equations (2)

Weak solutions of the 2D Euler equations

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B1 L3 R3119

In this talk we consider the Cauchy problem for the 2D Euler equations for incompressible inviscid fluids. It is well-known that given a smooth initial datum, the Cauchy problem is well-posed and in particular the energy is conserved and the vorticity is transported by the flow of the velocity. When we consider weak solutions this might not be the case anymore. We will review some recent results obtained in collaboration with Gianluca Crippa and Gennaro Ciampa where we extend those properties to the case of irregular vorticities. In particular, under low integrability assumptions on the vorticity we show that certain approximations important from a physical and a numerical point of view converge to solutions satisfying those properties.

A Variational Theory of Aero-hydrodynamics

Haithem Taha, Associate Professor

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B5 L5 R5209

The Euler equation does not possess a unique solution for the flow over a two-dimensional object. This problem has serious repercussions in aerodynamics; it implies that the inviscid aero-hydrodynamic lift force over a two-dimensional object cannot be determined from first principles; a closure condition must be provided. The Kutta condition has been ubiquitously considered for such closure in the literature, even in cases where it is not applicable (e.g. unsteady).
<> events (2) <> evolutionary biology (2) <> exascale (2) <> explainable AI framework (2) <> extreme environmental events (2) <> extSTAT Research Group (2) <> fabrication (2) <> Factory Automation (2)

Harnessing the potential for robotics and automation for restoring the worlds coral reefs

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B18 Fellowship Hall

Featured Sessions
Abstract Restoration of Earth's ecosystems has accelerated as a critical management tool in the past decade, particularly for coral reefs where stakeholders have adopted restoration to offset continued declines in reef health. Most coral reef restoration programs remain locally targeted and sub-hectare, where scalability is generated through people networks. Of the few programs that are now beginning to operate at the largest multi-hectare scales - including the KAUST Reefscape Restoration Initiative (KRRI) - implementation of innovative robotics and automation is seen as key to deliver more

The need for robotics and automatization to meet our global coral restoration goals

Dr. Sebastian Schmidt-Roach, BESE/Red Sea Research Center, KAUST

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B18 Fellowship Hall

Featured Sessions
Abstract Coral reefs are vital to a vast number of human livelihoods depending on them for fisheries, tourism and coastal protection. Facing dramatic global declines in coral cover and reef habitat degradation due to climate change and other anthropogenic impacts, coral reef restoration has become imperative to maintain their ecosystem services. In the Kunming-Montreal biodiversity framework the international community set ambitious goals, such as restoring, or being on the way to restore, 30% of degraded habitats by 2030. However, meeting these goals is currently constrained by the high
<> Faculty Support (2) <> Falling Walls Award (2) <> fault detection (2) <> Fault-Tolerant Computing (2) <> FDTD simulation (2) <> FEMSimulation (2) <> Filtering theory (2) <> filters (2)

Transient analysis of data-normalized adaptive filters

1 min read ·
T. Y. Al-Naffouri and A. H. Sayed, "Transient analysis of data-normalized adaptive filters", IEEE Transactions on Signal Processing. vol. 51 , pp. 639-652, Mar 2003. Abstract: This paper develops an approach to the transient analysis of adaptive filters with data normalization. Among other results, the derivation characterizes the transient behavior of such filters in terms of a linear time-invariant state-space model. The stability, of the model then translates into the mean-square stability of the adaptive filters. Likewise, the steady-state operation of the model provides information about

Simplified Modal‐Cancellation Approach for Substrate‐Integrated‐Waveguide Narrow‐Band Filter Design

1 min read ·
Sebastian Celis, et al., "Simplified Modal-Cancellation Approach for Substrate-Integrated-Waveguide Narrow-Band Filter Design". Electronics 2020, 9, 962. Current substrate-integrated-waveguide (SIW) filter design methodologies can be extremely computational and time-inefficient when a narrow-band filter is required. A new approach to designing compact, highly selective narrow-band filters based on smartly positioned obstacles is thus presented here. The proposed modal-cancellation approach is achieved by translating or eliminating undesired modes within the frequency of interest. This is
<> Financial Reports (2) <> finite element method (2) <> Flexible electronic devices (2)

Materials and Devices for Printed Flexible Electronics

Derya Baran, Assistant Professor, Material Science and Engineering, PSE, KAUST

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KAUST

The need for big data that the internet of things (IoT) has created in recent years has turned the focus on integrating the human body in the quest to understand it better, and in turn use such information for detection and prevention of harmful conditions. Applications in which continuous and uninterrupted operation is required, or where the use of external power sources may be challenging demands the use of self-powered autonomous systems. Organic photovoltaic devices are flexible, lightweight, and soft, capable of interacting with the human body and its mechanical demands. Their processability from solutions permits their adaptation to versatile fabrication techniques such as spin coating, roll-to-roll coating and inkjet printing, with benefits including low material usage and freedom of design. In this talk, I will present how organic photovoltaics can be utilized in printed electronics as energy harvesting devices and go through the historical progress of organic/hybrid photovoltaics as well as the main activities that are ongoing in my research lab ‘Omegalab’.

Organic Field-Effect Transistor-Based Flexible Sensors

1 min read ·
Saravanan Yuvaraja et al., "Organic Field-Effect Transistor-Based Flexible Sensors" Chemical Society Reviews 2020, (Advanced Article). (12) 49, 2020, 3423. Flexible electronic devices have attracted a great deal of attention in recent years due to their flexibility, reduced complexity and lightweight. Such devices can conformably attach themselves to any bendable surface and can possess diverse transduction mechanisms. Consequently, with continued emphasis on innovation and development, major technological breakthroughs have been achieved in this area. This review focuses on the advancements
<> flexible nanodevices (2)

Applications of Magnetic Transition Metal Dichalcogenide Monolayers to the Field of Spinorbitronics

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KAUST

Magnetic random access memory (MRAM) devices have been widely studied since the 1960s. During this time, the size of spintronic devices has continued to decrease. Consequently, there is now an urgent need for new low-dimensional magnetic materials to mimic the traditional structures of spintronics at the nanoscale. We also require new effective mechanisms to conduct the main functions of memory devices, which are: reading, writing, and storing data.

Idris H. Smaili

Idris H. Smaili is a Ph.D. student in the electrical and computer engineering program at Computational Physics & Materials Science Lab under the supervision of Prof. Udo Schwingenschlogl at King Abdullah University of Science and Technology (KAUST). Idris obtained his bachelor's degree in Electrical Engineering, Electronics, and Communications from King Abdul-Aziz University (KAU) in Jeddah, Saudi Arabia, in 2007. After that, he joined Rochester Institute of Technology (RIT), Rochester, NY, USA, to receive his master's degree in Microelectronic Engineering in 2014. Idris is a lecturer at the
<> flood monitoring (2) <> flow problems (2) <> Fokker-Planck equations (2)
Illustration weak approximation SDE

AMCS 336 Numerical Methods for Stochastic Differential Equations with connections to Machine Learning

The goal of this course is to give basic knowledge of stochastic differential equations and their numerical solution, useful for scientific and engineering modeling, guided by some problems in applications in financial mathematics, material science, geophysical flow problems, turbulent diffusion, control theory, and Monte Carlo methods.

Nonlocal Aggregation-Diffusion Equations: entropies, gradient flows, phase transitions and applications

Prof. Jose Carrillo, Department of Mathematics, University of Oxford, UK

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B2 L5 R5209

This talk will be devoted to an overview of recent results in understanding the bifurcation analysis of nonlinear Fokker-Planck equations arising in a myriad of applications such as consensus formation, optimization, granular media, swarming behavior, opinion dynamics, and financial mathematics to name a few. We will present several results related to localized Cucker-Smale orientation dynamics, McKean-Vlasov equations, and nonlinear diffusion Keller-Segel-type models in several settings. We will show the existence of continuous or discontinuous phase transitions on the torus under suitable assumptions on the Fourier modes of the interaction potential.
<> Forbes ME (2) <> fractals (2)

Low-voltage puzzle-like fractal microelectromechanial system variable capacitor suppressing pull-in

1 min read ·
Amro M. Elshurafa, et al., "Low-voltage puzzle-like fractal microelectromechanial system variable capacitor suppressing pull-in" Micro & Nano Letters 7, (9), 2012, 965. Abstract: This Letter introduces an electrostatically actuated fractal MEMS variable capacitor that, by utilising the substrate, extends the tuning range (TR) beyond the theoretical limit of 1.5 as dictated by the pull-in phenomenon. The backbone concept behind the fractal varactor is to create a suspended movable plate possessing a specific fractal geometry, and to simultaneously create a bottom fixed plate complementary in

Polarization Insensitive and Transparent Frequency Selective Surface for Dual Band GSM Shielding

1 min read ·
Yiming Yang, et al., "Polarization Insensitive and Transparent Frequency Selective Surface for Dual Band GSM Shielding." IEEE Transactions on Antennas and Propagation, 2020 This paper proposes a single-layer, dual-band, optically transparent frequency selective surface (FSS) for GSM shielding. The design evolves from a fractal cross dipole to achieve dual band response, polarization insensitivity and wide angle of incidence stability with a miniaturized size. A two-axis symmetric structure helps to provide a stable frequency response for incident waves with different polarization angles up to
<> Fractional differential equation (2) <> fractional order capacitors (2) <> fractional order parameter (2)

Parametric control on fractional-order response for Lü chaotic system

1 min read ·
Khaled Moaddy, et al., "Parametric control on fractional-order response for Lü chaotic system." In Journal of Physics: Conference Series, 423, (1), 2013, 012024. Abstract. This paper discusses the influence of the fractional order parameter on conventional chaotic systems. These fractional-order parameters increase the system degree of freedom allowing it to enter new domains and thus it can be used as a control for such dynamical systems. This paper investigates the behaviour of the equally-fractional-order Lü chaotic system when changing the fractional-order parameter and determines the

Control and switching synchronization of fractional order chaotic systems using active control technique

1 min read ·
Ahmed G. Radwan, et al., "Control and switching synchronization of fractional order chaotic systems using active control technique." Journal of Advanced Research 5 (1), 2014, 125. This paper discusses the continuous effect of the fractional order parameter of the Lü system where the system response starts stable, passing by chaotic behavior then reaching periodic response as the fractional-order increases. In addition, this paper presents the concept of synchronization of different fractional order chaotic systems using active control technique. Four different synchronization cases are
<> Free-space optical wireless communication (2) <> Frequency selective surfaces (2) <> Frequent subgraph mining (2) <> Functional Magnetic Resonance Imaging (2) <> functional prediction (2)

Semantic Prioritization of Novel Causative Genomic Variants in Mendelian and Oligogenic Diseases

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B9 R4223

Abstract Recent advances in Next Generation Sequencing (NGS) technologies have facilitated the generation of massive amounts of genomic data which in turn is bringing the promise that personalized medicine will soon become widely available. As a result, there is an increasing pressure to develop computational tools to analyze and interpret genomic data. In this dissertation, we present a systematic approach for interrogating patients' genomes to identify candidate causal genomic variants of Mendelian and oligogenic diseases. To achieve that, we leverage the use of biomedical data available

Imane Boudellioua

Imane Boudellioua obtained her Ph.D. degree in Computer Science under the supervision of Professor Robert Hoehndorf at the Bio-Ontology Research Group (BORG) at King Abdullah University of Science and Technology (KAUST). Imene has a Master's degree in Computer Science from KAUST. During Master's her thesis supervisor was Professor Basem Shihada. Thesis title: " A Vehicular Guidance Wireless Sensor Actuator Network." Research Interests Imane Boudellioua's research interests include the application of machine learning and data mining algorithms for functional annotation of various biological
<> Functional Time Series (2) <> Fusion (2) <> Future (2)

Towards Robust and Accurate Navigation: Theory, Applications, and Future Directions

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KAUST

Navigation is an essential requirement for many applications (commercial, retail, military, scientific, ...etc) and in a variety of environments (in-doors, outdoors, space, underwater, and even underground). In this talk, I will overview some of my group's work in localization and navigation focusing on indoor and satellite positioning. The talk will demonstrate how the structure or constraints of the problem can help achieve very accurate localization (e.g. millimeter level indoors) that is robust to Doppler, multipath, and shadowing. The talk will also touch upon various related applications that the group is pursuing in smart health and smart cities. The talk will end with future directions for localization in extreme environments and in the TeraHertz spectrum where localization, environment sensing, and communication converge.

Distributed Multi-Antenna Communications with Radio Stripes

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

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KAUST

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.
<> Future Mobility (2) <> GaN-based electronics (2) <> GaN-based LED (2) <> gene-disease associations (2) <> genetic variation (2)

Semantic Prioritization of Novel Causative Genomic Variants in Mendelian and Oligogenic Diseases

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B9 R4223

Abstract Recent advances in Next Generation Sequencing (NGS) technologies have facilitated the generation of massive amounts of genomic data which in turn is bringing the promise that personalized medicine will soon become widely available. As a result, there is an increasing pressure to develop computational tools to analyze and interpret genomic data. In this dissertation, we present a systematic approach for interrogating patients' genomes to identify candidate causal genomic variants of Mendelian and oligogenic diseases. To achieve that, we leverage the use of biomedical data available

Imane Boudellioua

Imane Boudellioua obtained her Ph.D. degree in Computer Science under the supervision of Professor Robert Hoehndorf at the Bio-Ontology Research Group (BORG) at King Abdullah University of Science and Technology (KAUST). Imene has a Master's degree in Computer Science from KAUST. During Master's her thesis supervisor was Professor Basem Shihada. Thesis title: " A Vehicular Guidance Wireless Sensor Actuator Network." Research Interests Imane Boudellioua's research interests include the application of machine learning and data mining algorithms for functional annotation of various biological
<> geology (2) <> geometric diodes (2) <> geospatial modeling (2) <> global connectivity (2) <> gold nanosphere (2) <> GPS (2) <> gradient methods (2)

Unveiling Insights from "Gradient Descent Converges Linearly for Logistic Regression on Separable Data"

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B1 L0 R0118

Abstract In this presentation, I will share a paper titled "Gradient Descent Converges Linearly for Logistic Regression on Separable Data", a work highly related to my ongoing research. I will explore its relevance to my current research topic and discuss the inspiration for our future works. Abstract of the paper: We show that running gradient descent with variable learning rate guarantees loss f(x) \leq 1.1f(x^*)+\epsilon for the logistic regression objective, where the error \epsilon decays exponentially with the number of iterations and polynomially with the magnitude of the entries of an

On the Natural Gradient Descent

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KAUST

Abstract Numerous problems in scientific computing can be formulated as optimization problems of suitable parametric models over parameter spaces. Neural network and deep learning methods provide unique capabilities for building and optimizing such models, especially in high-dimensional settings. Nevertheless, neural networks and deep learning techniques are often opaque and resistant to precise control of their mathematical properties in terms of architectures, hyperparameters, etc. Consequently, optimizing neural network models can result in a laborious hyperparameter tuning process that
<> graphical models (2) <> GSM (2) <> healthcare technologies (2) <> heterogeneous (2)

Engineering Scalable Multi-Robot Systems for Reliable Operation Under Uncertainty and Resource Constraints

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B4/5 A0215

This talk presents a constraint-driven engineering perspective on achieving reliable operation in scalable multi-robot systems under uncertainty and resource constraints.

Multiphase flow in heterogeneous geologic media

Prof. Stephan K. Matthai, Chair of Reservoir Engineering, The University of Melbourne at Parkville

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B5 L5 R5209

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.
<> hierarchical and sparse approximation (2) <> hierarchical matrices (2) <> High Performance Low Power Circuits (2)

Kuilian Yang

Abdullah Alshehri

My research focuses on designing efficient interfaces between the analog and digital domains through the development of low-power, high-performance CMOS interface circuits. The interface circuit encompasses key components such as amplifiers, filters, comparators, analog-to-digital converters (ADCs), each of which must be carefully optimized to meet the specific requirements of the target application. By addressing the challenges in analog-digital interfacing, this work aims to contribute to the advancement of integrated circuits and systems that can seamlessly connect real-world analog signals to their digital counterparts, with potential applications in sensor interfaces, data acquisition systems, and mixed-signal electronics. The research involves circuit design, simulation, integration, and experimental evaluation to create novel interface circuit topologies and techniques that improve power efficiency, speed, and overall performance.
<> History Matching (2) <> Human Activity Recognition (2) <> human bioinformatics (2) <> Human-robot interaction (2)

Abdullah Alharthi

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dr. Abdullah Alharthi's research centers around pattern recognition as a means to tackle a diverse array of new challenges, including how to learn intelligent behavior in complex, dynamic environments. His areas of expertise include cognition, perception, theory of mind, gait, and human-robot interaction. His work delves into both human kinetics and the comprehension and resolution of how humans and robots interact with one another in a dynamic setting. Dr. Alharthi employs Deep Learning techniques to tackle problems related to image, object, and signal recognition and classification

Abdulaziz Yaslam

Education 2020.08 - Present M.S. Student in Bioengineering, King Abdullah University of Science and Technology, KSA 2016.07 - 2020.06 B.S. in Biomedical Engineering, University of California at Davis, USA Professional Profile 2021.05 - 2021.12 Master's Student Researcher, KAUST RISC Lab, KAUST, KSA 2016.09 - 2018.06 Teaching Assistant, Electrical Installations and Machines, UNAL, Colombia Honors and Awards ​2018.07 "Best Poster" award in the North Carolina State University - KAUST Summer Internship Areas of Expertise and Research Interests Sensors Human-robot interaction Rehabilitation
<> HVDC (2)

A Novel HVDC Architecture for Offshore Wind Farm Applications

Otavio Dezem Bertozzi Junior, MS Student, Physical Science and Engineering

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KAUST

Advances in power electronics have enabled many renewable energy applications. Wind energy harnessing is very promising and offshore farm installations have grown considerably in the past years. In this thesis, we introduce a novel power converter solution for the parallel connection of high-power offshore wind turbines, suitable for HVDC collection and transmission. For the parallel operation of energy sources in an HVDC grid, DC link voltage control is required. The proposed system is based on a full-power rated uncontrolled diode bridge rectifier in series with a partially-rated fully-controlled thyristor bridge rectifier. The thyristor bridge acts as a voltage regulator to ensure the flow of the desired current through each branch, where a reactor is placed in series for filtering of the DC current. AC filters are installed on the machine side to mitigate harmonic content. The mathematical modeling of the system is derived and the control design procedure is discussed. Guidelines for equipment and device specifications are presented. The concept is validated through simulation, and an experimental framework for testing of the system is suggested.
kaust-cemse-ece-otavio-bertozzi

Otavio Bertozzi

<> ICVSS (2) <> IEEE and IET workshop (2) <> IEEE award (2) <> III-Nitride Optoelectronics (2) <> III-nitride semiconductors (2) <> image (2)

Research at the Image and Video Understanding Lab (IVUL) - Graduate Seminar - ECE

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KAUST

In this talk, I will give an overview of research done in the Image and Video Understanding Lab (IVUL) at KAUST. At IVUL, we work on topics that are important to the computer vision (CV) and machine learning (ML) communities, with emphasis on three research themes: Theme 1 (Video Understanding): We aim to extract meaningful semantic information from large-scale video data by tackling research problems such as object tracking, activity detection, moment retrieval, and language grounding in video. Theme 2 (Visual Computing for Automated Navigation): We develop methodology to enable more accurate, reliable, and robust perception of the visual world for automated navigation applications (e.g. self-driving cars and UAVs). In this theme, we tackle research problems such as object tracking, segmentation, and detection in 3D data, as well as transfer learning from simulation (sim2real). Theme 3 (Fundamentals/Foundations): In this theme, we tackle fundamental research problems in CV and ML that transcend specific applications with focus on deep network theory/analysis (e.g. robustness, certification, and interpretability) and structured optimization methods for large-scale CV/ML problems. Throughout the talk, I will highlight some of the interesting projects at IVUL to encourage students to get interested in the research field.

Visualization helps science to see the unexpected

2 min read ·
Advances in how science is presented means that visual tools can inspire research, as well as make its results accessible to the world.
<> image synthesis (2) <> Importance sampling (2) <> indoor localization systems (2) <> Inductors (2) <> Industrial Robots (2)

Optimal Design of Agricultural Walking Robot

Prof. Sayat Ibrayev, Institute of Mechanics and Engineering

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B18 Fellowship Hall

Featured Sessions
Abstract Legged machines that can adapt to off-road conditions and irregular terrain, have a number of advantages over traditional wheeled and tracked vehicles. In particular, in agriculture, they cause the least damage to the soil, in comparison with wheeled and tracked vehicles, due to the discrete track on the ground. Meanwhile, attaining to increase productivity of agricultural machines leads to an increase of machine weight that cause increased soil pressure and unfavorable conditions for plant growth. Various designing concepts of legged robots have been proposed by research teams by now

Smart Agricultural Robotics for Monitoring Coral Reefs and Plants: A vertical farming perspective

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B18 Fellowship Hall

Featured Sessions
Abstract Aquaponics is a vertical farming technique and an integrated production of fish and hydroponic crops with recirculation of the aquaculture effluent used by the plant as fertilizer. This technique offers high water efficiency, a faster growth rate, and high crop yields. Despite all the advantages offered by this technology, its implementation on a commercial scale is hindered by many technical and economic factors, which can be addressed by integrating smart technologies, automation, and control. Together with the landmark technologies of Industry 4.0, such as robotics, artificial