Topics

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prototyping (1)

Hussein Al-Shatri

Research Scientist, Electrical and Computer Engineering

haps nr-u interference management beamforming tochnologies coexistence prototyping

I chose KAUST because of its reputation for excellence in research and its recent emphasis on applied research. With my extensive background in both academic research and industrial development, I am excited to contribute my experience and ambition. My goal is to foster new ideas and develop innovative prototypes in the field of wireless communications, which will undoubtedly enhance people's lives.

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Mohammed A Shukri

Consultant (former), King Abdullah University of Science and Technology

Neural Networks AI Python BLE communication

Technical Consultant at KAUST (King Abdullah University of Science and Technology).

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quantum-dot lasers (1)

Bozhang Dong

Postdoctoral Research Fellow, Electrical and Computer Engineering

quantum-dot lasers optical frequency combs

Dr. Bozhang Dong is a Postdoctoral Fellow at the Integrated Photonics Laboratory, King Abdullah University of Science and Technology (KAUST). He received his B. E. degree in Optoelectronic Information Engineering from Huazhong University of Science and Technology, China, in 2016, and his M. Sc. Degree in Electrical Engineering with honors from Paris-Saclay University, France, in 2018. He earned his Ph.D. from Institut Polytechnique de Paris, France, in 2022, where he defended his thesis, “Quantum-Dot Laser on Silicon: Nonlinear Properties, Dynamics, and Applications”. His work was recognized

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Joint longitudinal-survival models using R-INLA

Janet van Niekerk, Research Scientist, Statistics

May 9, 12:00 - 13:00

B9 L2 H1

stochastic smoothing pipeline R-INLA

Joint models have received increasing attention during recent years with extensions into various directions; numerous hazard functions, different association structures, linear and non-linear longitudinal trajectories amongst others. They gained popularity amongst practitioners by the ability to incorporate various data sources. In this talk, we will introduce joint models and provide some conceptual ideas about their use and necessity. Also, we will illustrate how these models can be formulated as Latent Gaussian Models and hence be implemented using R-INLA.

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Reinforcement Learning (1)

Aznaur Aliev

M.S. Student

AI Deep learning Computer Vision Reinforcement Learning

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Renewable integrations (1)

Nabil Mohammed

Research Scientist, Electrical and Computer Engineering

Power electronics Renewable integrations Microgrids Renewable-based power systems

Nabil Mohammed is a research scientist specializing in power electronics engineering, focusing on the integration of renewable energy (e.g., solar PV and wind) and the modeling, stability, and control of power electronic-based power systems.

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Renewable-based power systems (1)

Nabil Mohammed

Research Scientist, Electrical and Computer Engineering

Power electronics Renewable integrations Microgrids Renewable-based power systems

Nabil Mohammed is a research scientist specializing in power electronics engineering, focusing on the integration of renewable energy (e.g., solar PV and wind) and the modeling, stability, and control of power electronic-based power systems.

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scientific computing (1)

Georgios Grekas

Georgios Grekas

Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

solid mechanics biomechanics numerical analysis scientific computing

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seismic processing (1)

Sixiu Liu

Ph.D. (former), Earth Science and Engineering

seismic processing deep learning

Ph.D. degree in Earth science and engineering with the King Abdullah University of Science and Technology (KAUST)

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Self-supervised learning (1)

Fida Mohammad Thoker

Postdoctoral Research Fellow

Self-supervised learning Video Understanding Action Recognition

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Yasser Jaber

Visiting Researcher (former), King Abdullah University of Science and Technology

machine learning software artificial intelligence

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).

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Software Developer (1)

Faisal Alhindi

Visiting Scholar (former), King Abdullah University of Science and Technology

Software Developer Data Analyst

Visiting student at King Abdullah University of Science and Technology.

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solid mechanics (1)

Georgios Grekas

Georgios Grekas

Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

solid mechanics biomechanics numerical analysis scientific computing

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spatial statistics (1)

Haavard Rue

Program Chair, Statistics

Bayesian computational statistics bayesian methodology latent Gaussian models spatial statistics

Professor Haavard Rue is an internationally recognized expert in Bayesian computational statistics.

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spatio-temporal disease data (1)

Hanan Alahmadi

Ph.D. Student, Statistics

Bayesian computational statistics statistics geospatial statistics health surveillance spatio-temporal disease data

Hanan Alahmadi is a PhD candidate in Statistics at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Paula Moraga in her Geospatial Statistics and Health Surveillance Research Group. Education Profile M.Sc. Statistics, KAUST, 2021 B.Sc. Mathematics, Taibah University , 2017 Research Interest Geospatial data analysis and health surveillance Spatio-temporal disease data Statistics and spatial epidemiology Geospatial modeling Disease mapping Location Building 1, Al-Khawarizmi, 4th floor, 4212-WS12 Publication Joint Quantile Disease Mapping

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spin-orbit torque (1)

Meng Tang

Postdoctoral Research Fellow, Computer, Electrical and Mathematical Sciences and Engineering

Spintronics devices spin-orbit torque Spintronics thin films

Meng Tang’s research focuses on the physics and applications of spintronics, with an emphasis on the experimental exploration of spin-orbit torque phenomena and their applications in developing new types of information storage and processing devices. His work aims to contribute to the advancement of information technology with ultra-low power consumption.

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Spintronics (1)

Meng Tang

Postdoctoral Research Fellow, Computer, Electrical and Mathematical Sciences and Engineering

Spintronics devices spin-orbit torque Spintronics thin films

Meng Tang’s research focuses on the physics and applications of spintronics, with an emphasis on the experimental exploration of spin-orbit torque phenomena and their applications in developing new types of information storage and processing devices. His work aims to contribute to the advancement of information technology with ultra-low power consumption.

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Spintronics devices (1)

Meng Tang

Postdoctoral Research Fellow, Computer, Electrical and Mathematical Sciences and Engineering

Spintronics devices spin-orbit torque Spintronics thin films

Meng Tang’s research focuses on the physics and applications of spintronics, with an emphasis on the experimental exploration of spin-orbit torque phenomena and their applications in developing new types of information storage and processing devices. His work aims to contribute to the advancement of information technology with ultra-low power consumption.

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statistical models (1)

Statistical models for long-range dependent climate data

Sigrunn Sorbye, Associate Professor, UiT The Arctic University of Norway

Feb 20, 12:00 - 13:00

B9 L2 R2322

statistical models climate data

In this talk I will discuss statistical models which incorporate temperature response to the radiative forcing components. The models can be used to estimate important climate sensitivity measures and give temperature forecasts. Bayesian inference is obtained using the methodology of integrated nested Laplace approximation and Monte Carlo simulations. The resulting approach will be demonstrated in analyzing instrumental data and Earth system model ensembles.

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stochastic smoothing pipeline (1)

Joint longitudinal-survival models using R-INLA

Janet van Niekerk, Research Scientist, Statistics

May 9, 12:00 - 13:00

B9 L2 H1

stochastic smoothing pipeline R-INLA

Joint models have received increasing attention during recent years with extensions into various directions; numerous hazard functions, different association structures, linear and non-linear longitudinal trajectories amongst others. They gained popularity amongst practitioners by the ability to incorporate various data sources. In this talk, we will introduce joint models and provide some conceptual ideas about their use and necessity. Also, we will illustrate how these models can be formulated as Latent Gaussian Models and hence be implemented using R-INLA.

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technology advancements. (1)

Muhanned Alsaif

M.S. Student (former), Electrical and Computer Engineering

communication systems technology advancements. Localization

Young professional with a robust background in research and engineering, specializing in communication and signal processing applications for estimation. Previous experience: positioning using GNSS. Current experience: subsurface formation estimation using downhole and surface logs.

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telecommunication (1)

Mhd. Emad Alolaby

Associate Editor, King Abdullah University of Science and Technology

Network Design telecommunication 5G networks GSM Digital Communications optical fiber AI deep learning MATLAB

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Meng Tang

Postdoctoral Research Fellow, Computer, Electrical and Mathematical Sciences and Engineering

Spintronics devices spin-orbit torque Spintronics thin films

Meng Tang’s research focuses on the physics and applications of spintronics, with an emphasis on the experimental exploration of spin-orbit torque phenomena and their applications in developing new types of information storage and processing devices. His work aims to contribute to the advancement of information technology with ultra-low power consumption.

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Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab

artificial intelligence TinyML optimization deep learning

Visiting student at the Information Science Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST)

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Tissue Engineering (1)

Ali O Balubaid

Researcher, King Abdullah University of Science and Technology

living systems Cellular Networks Tissue Engineering bioscience Mathematical modeling

Ph.D Directed Research at KAUST (King Abdullah University of Science and Technology)

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tochnologies coexistence (1)

Hussein Al-Shatri

Research Scientist, Electrical and Computer Engineering

haps nr-u interference management beamforming tochnologies coexistence prototyping

I chose KAUST because of its reputation for excellence in research and its recent emphasis on applied research. With my extensive background in both academic research and industrial development, I am excited to contribute my experience and ambition. My goal is to foster new ideas and develop innovative prototypes in the field of wireless communications, which will undoubtedly enhance people's lives.

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Video Understanding (1)

Fida Mohammad Thoker

Postdoctoral Research Fellow

Self-supervised learning Video Understanding Action Recognition

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Visual Language Models (1)

Andres Villa

Postdoctoral Research Fellow

Continual Learning Multimodal learning Visual Language Models AI4Science Action understanding

Andres Villa is a Postdoctoral Fellow in the IVUL lab at King Abdullah University of Science and Technology (KAUST), focusing on AI for Science, Continual Learning, Visual Language Models, and Action Understanding.

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Web Technologies (1)

Nizar Ajeeb

Researcher (former), King Abdullah University of Science and Technology

Programming language MATLAB data analysis Web Technologies

Full Time Researcher Full at King Abdullah University of Science and Technology.

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Wireless Communications (1)

Saleh AlJazzar

Visiting Scholar (former), King Abdullah University of Science and Technology

Signal processing Wireless Communications machine learning

Research Fellow at King Abdullah University of Science and Technology (KAUST) .

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xstat research highlights (1)

How extreme weather exacerbates air pollution

1 min read · Tue, Sep 4 2018

statistics extreme weather air pollution xstat research highlights

Simultaneously modeling of air pollutants and weather under extreme conditions highlights the potential for serious health risks.