Total Result(s) Found: 43
Test Faculty Member
Academic Program: Computer Science
TEST DATA
1524363
VSRP
KAUST
MCA
TEST DATA
Computer Science
Physical Sciences and Engineering
Researcher
Clean Combustion Research Center
Direct Numerical Simulation of Turbulent Combustion at High Pressures
Academic Program: Mechanical Engineering
Learn the in-house direct numerical simulation code and modify for high pressure and highReynolds number reacting flow problems. Pilot simulations of canonical combustorconfigurations will be conducted as a demonstration of the new capabilities.
BAS/1/1316-01-01
Mechanical/Aerospace/Chemical Engineering, Applied Physics/Mathematics
Modified DNS code with specific problem configurations. Pilot simulations and analysis for demonstration.
Mechanical Engineering
Physical Sciences and Engineering
Clean Combustion Research Center
Fuel Design
Academic Program: Chemical and Biological Engineering
Students will develop state of the art tools to determine the technical and environmentalperformance future fuels. He/she will also be involved in experiments in engines, flow reactors, and flames to improve models and to develop a deeper understanding of future fuel combustion performance. The student should have interest and/or expertise in one of the following areas: computer programming, life cycle assessment, reaction engineering, chemical thermodynamics, quantum chemistry, and combustion simulations. The student will use their knowledge to better understand fuel formation and combustion in engines. The student is expected to participate in writing journal publications and presenting research at conferences.http://cpc.kaust.edu.sa
BAS/1/1337-01-01
Chemical Engineering, Mechanical Engineering, Chemistry
Weekly updates on research progressPresentation of your research at least three times during course of internship
Remaining in the lab/office during regular business hours (9am to 5 pm)
Written final report on internship projects.
Chemical and Biological Engineering
Physical Sciences and Engineering
Clean Combustion Research Center
Waad 19 Nov.
Academic Program: Applied Physics (AP)
test
1524363
waad.aboznadah@kaust.edu.sa
testing1
test
test
Applied Physics (AP)
CEMSE
KAUST Solar Center
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Academic Program: Applied Mathematics and Computational Science (AMCS)
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asd2130-21
asdasd@eveliko.com
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asdasd
Applied Mathematics and Computational Science (AMCS)
CEMSE
Graduate
KAUST Solar Center
test2 13 Oct. Waad
Academic Program: Bioscience (B)
test
test
waad.aboznadah@kaust.edu.sa
test
test
Bioscience (B)
Biological and Environmental Sciences and Engineering
Project Title 11.12
Project Description
test id222389999
test@abv.bg
Keywords for web search 1
Field of Study 1
Desired Project Deliverables
Just pavel test project again
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asasd
asd@asd.com
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sadasd
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Electrical and Mathematical Sciences and Engineering
Student
Clean Combustion Research Center
Computer Graphics, Computer Vision, and Visualization
Academic Program: Computer Science
The internship is in the area of graphics, vision, or visualization. The exact topic is determined in discussion with the student to obtain a good fit with the student’s interest and background. Example projects are 3d reconstruction from images and laser scans, geo-spatial visualization, remeshing, sampling, procedural modeling, and design computation using machine learning.
11111.0000000000
Computer Science
Computer Science
Electrical and Mathematical Sciences and Engineering
Visual Computing Center
Realtime transmission in Underwater Wireless Environments
Academic Program: Computer Science
Design and implement a system that facilitates realtime data transmission in underwater wireless networks. This includes examining the data transmission over several types of water conditions along with extracting the data transmission characteristics.
BAS/1/1601-01-01
Computer science and/or electrical engineering
The student is expected to closely work on an underwater wireless optical transmission testbed. Using the testbed equipment’s, the student will be running several sets of experiments and collect certain data (e.g., bit error rates, frame rates, channel condition, ..etc). The extracted data will be later used to design an optimal resource allocation framework for facilitating realtime transmission in such environments.
Computer Science
Electrical and Mathematical Sciences and Engineering
Test3 13 Oct. Waad
Academic Program: Bioengineering (BioE)
Test
Test
waad.aboznadah@kaust.edu.sa
Test
Test
Test
Bioengineering (BioE)
Computer
Graduate
KAUST Catalysis Center
Test 13 Oct. Waad
Academic Program: BioScience
Testing
Pocket ID
Testing
Testing1
Testing
empty...
BioScience
BESE
Graduate
KAUST Catalysis Center
Project Title
Academic Program: Bioscience (B)
Project Description
Pocket ID
waad.aboznadah@kaust.edu.sa
Keyword1
Field of Study
Desired Project Deliverables
Bioscience (B)
BESE
Graduate
Clean Combustion Research Center
Biodiversity of Red Sea Reef Fishes
Academic Program: Marine Science
Documenting reef fish communities through surveys and collections across spatial and temporal scales is key to understanding changes of biodiversity across natural environmental gradients and local habitats, or to predict future trajectories in response to local and global stressors. Using a range of sampling and survey methods, we are building a comprehensive picture of fish communities within the Red Sea. Work will focus on the documenting fish communities in reef and non-reef habitats (e.g., mangrove, seagrass, macroalgae) to understand the connection and importance of habitats to ecosystem function and services. This focuses on conspicuous and cryptic fishes with opportunities to conduct field (diving, fish surveys and collections) and lab work (dissections, genetic barcoding).
BAS/1/1010-01-01
A point of contact in your group/lab for VSRP Interns 1
Keywords for web search 1
Biodiversity, Ecology, Marine Science
Depending on the results, the student researcher may also contribute to a scientific publication detailing the work and findings.
Marine Science
Biological and Environmental Sciences and Engineering
Student
Red Sea Research Center
Molecular doping of organic semiconductors for high efficiency optoelectronic devices
Academic Program: Materials Science & Engineering
Doping of organic semiconductors plays a fundamental role to overcome typical limitations observed in organic electronic devices. Organic light-emitting diodes (OLEDs) and organic solar cells (OSC) benefits for instance of the introduction of highly conducting injection layers, while high conductivity is one of the basic requirements for organic thermoelectric materials. Organic field-effect transistors (OFETs), on the other hand, are almost entirely based on intrinsic materials and doping has been mainly employed to pattern areas close to the contacts in order to improve charge injection.1 Beside the investigation of high degree of doping, ultralow doping has been recently attracting great interest, with the aim of directly dope the devices active layer that were usually based on intrinsic organic semiconductors. OSC containing small weight percentage of molecular dopants in the bulk heterojunction were found to display an increased short-circuit current (Jsc) and hence higher power conversion efficiency (PCE), when compared to their intrinsic counterpart.2 OLEDs have been reported with improved performance and device color modulation with dopant concentration was reported.3 A similar approach has been employed for OFETs, where extremely high mobilities, beyond the highest reported in literature, have been reported for organic semiconductors blended with low concentrations of dopants.4–6 These latter approaches are based on the addition of low fractions of dopants (£ 1-2 mol%), hence providing a different scenario from that of highly doped conducting layers. Strong efforts have been spent in the understanding of doping in organic semiconductors, both from a chemical and physical point of view, providing hence guidelines for the synthesis and application of more effective dopants. Recently, Lewis acid have been reported to show promising features as dopants for solution-processed polymers and small molecules.4 Here we propose a systematic study of different types of Lewis acids to investigate the potentiality of this doping strategy for organic field-effect transistors. Different processing routes and compositions will be studied in order to establish relevant structure/processing/property interrelationships.
BAS/1/1389-01-01
Materials science
1. Prepare solutions and learn coating methods for the formation of solution
processable thin films. [Month 1-6]
2. Learn how to prepare and measure organic electronic devices, such as
high emitting diodes, organic solar cells and field-effect transistor. [Month 3]
3. Study the influence of dopants in structural and optical properties of organic
semiconductors and devices. [Month 4]
4. Prepare project updates reports and presentation. [Month 6]
Materials Science & Engineering
Physical Sciences and Engineering
KAUST Solar Center
Diet induced stress and epigenetic control of circadian clock regulation
Academic Program: BioScience
The majority of our physiological and metabolic processes are coordinated by an internal clock, which has evolved as an adaptive response to the daily light-dark cycles. Thus, several physiological and behavioral activities display an oscillatory rhythmic period of 24 hours. This highly conserved molecular mechanism is achieved through a specific program of gene expression, characterized by a complex interaction between clock-core proteins, chromatin remodelers and epigenetic events associated with the oscillatory nature of circadian transcriptional activity in the genome. Clock disruption leads to a wide spectrum of severe health problems associated including chronic metabolic disorders, muscle waste and cardiopathies. Recent evidence revealed that each cell and organ possesses an intrinsic clock and that coordination between central versus peripheral clocks is key for health. The underlying mechanisms that regulate the intrinsic clock vs and its integration/interdependence on diet-induced stress are largely unknown. In this study we propose to investigate the role of chromatin cell memory mechanisms for intrinsic clock transcriptional regulation and their functional interplay with diet indices metabolic stress. We will focus on the mechanistic role of Polycomb group proteins (PcG) mediated cell memory system on circadian regulation and in particular the PRC2-Ezh1 complex, and its role in supporting intrinsic clock functions both in gene silencing and activation in post-mitotic skeletal muscle. The outcome of this study will shed light on novel fundamental mechanistic aspects underlying clock regulation, relevant for high societal impact diseases, with the dual scope of improving health policies and indicating possible novel therapeutic approaches.
BAS 01-01-1037
Epigenetics
Unraveling the mechanistic role of PRC2-Ezh1 mediated control of circadian clock regulation in protecting and adapting skeletal muscle cells from high fat and fasting-induced metabolic stress.
BioScience
Biological and Environmental Sciences and Engineering
Hybrids and quantum dots for thermoelectric applications
Academic Program: Materials Science & Engineering
The most efficient energy-harvesting devices today rely on highly pure and crystalline materials; but this mitigates against their ubiquitous deployment. Next-generation energy harvesting devices will require active materials that enable large-scale manufacturing and a facile integration of multifunctional lightweight devices.Solution-processed semiconductors have received a great deal of attention during the last decades as a promising class of materials to address this challenge. They offer ease of processing and compatibility with existing large-scale manufacturing processes. Hybrid perovskites and Colloidal quantum dots (CQDs) are a family with significant potential as the semiconducting building blocks of optoelectronic devices. This work involves the exploration of new hybrid halide perovskites and CQDs and their characterization for low temperature thermoelectric applications.
URF/1/3737-01-01
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Materials Science, Chemistry, electrical engineering
Composition optimization of functionalmaterials.Thin film fabrication using spin coating and bladecoating.Ligand exchange of already synthesized quantum dots and their filmdeposition.Solution processing of organic-inorganic hybrid materials such asperovskites.Thermoelectric device performanceoptimization.
Materials Science & Engineering
Physical Sciences and Engineering
Graduate
KAUST Solar Center
3D Bioprinting of Cell-Laden Microgels for the General Construction of Vascularized Tissue Structures and Organoids
Academic Program: BioScience
3D bioprinting is a fabrication technology that aims to produce complex 3D functional living tissues suitable for disease modeling and even organ transplantation. Consequently, this technology has gained strong interest in areas such as tissue engineering and regenerative medicine. It is believed that 3D bioprinting gives promising solutions to solve the organ shortage for transplantation and to bridge the gap between 2D cell culture and live tissue experiments. In 3D bioprinting technology, biomaterials and cells are printed together to produce viable tissue-constructs with different shapes and sizes at the micro- and macro-scale level. However, 3D bioprinting technology is currently facing problems in terms of poor performance in shape fidelity of the 3D constructs, biocompatibility, and vascularization. These drawbacks could arise from the biomaterial and the bioprinting method used. For instance, synthetic polymers lack cell adhesion motifs while naturally derived materials lack appropriate mechanical strength. Moreover, most of the bioprinting methods rely on UV- or chemical crosslinking that could be harmful to the cells. To overcome these problems, we have developed a 3D bio-printing method to print under physiological conditions using self-assembling ultrashort peptides (SUP) as bioinks. SUP are natural peptides that are chemically synthesized and can be tailored to include biological and physicochemical cues for the improvement in biocompatibility and shape fidelity of the 3D construct. Nevertheless, our bioprinting approach still has technical challenges in controlled cell distribution and vascularization. To address these issues, we are working on the incorporation of SUP microgels covered by endothelial cells into the 3D bioprinting process to drive the cell to cell connection among microgels.
BAS/1/1075-01-01
Materials Science
Print self-assembling ultrashort peptides (SUP) as bioinks
BioScience
Biological and Environmental Sciences and Engineering
Computational Bioscience Research Center
Brain Inspired Computing
Academic Program: Electrical Engineering
Diagnostics become more important in third world countries as the people have limited access to medical care systems and have less awareness of healthy lifestyles. There is certainly a need for on-site detection in the life science fields; and for point-of-care diagnostics in rural areas of underdeveloped countries so that even an unskilled person can use the device to determine the presence of disease-causing markers. Currently, diagnostics commonly employ long assay time, trained personnel, sophisticated instruments, and require financial support. A good approach to overcome this current situation would be the use of flexible and paper-based point-of-care devices to detect specific biomarkers. Biomarkers provide insight into normal biological processes, pathogenic processes, and pharmacological therapeutic interventions. Hence, the development of more compatible, reliable, convenient, simple, easyto- use systems would be of great use to a person less skilled in medical diagnostic procedures.
BAS/1/1605-01-01
Electrical Engineering, Computer science, physics, neurosciences
1- A complete biosensor design and simulation
2- Potential fully operational Hardware device
3- Full detailed report on the design and participation in manuscript and papers writeup
Electrical Engineering
Electrical and Mathematical Sciences and Engineering
Wireless Networks for Better Smart Buildings
Academic Program: Computer Science
Smart building involves a construction of multiple layer system that is capable to sense, acquire, analyze and perform the proper action to maintain the operation of certain city entity. The layered system incorporates six layers including: sensing layer, network layer, software layer, semantic discovery layer, processing and reasoning layer, and service layer. All the statistics show that there will be a large demand for smart buildings in the future as it has the potential for energy saving, indoor services such as tracking, mapping, localization, identifying products, and downloading relevant information are the main drive for future trends. The number of smart devices is expected to be x10 of the current number in 2020. Efficient Resource allocation for context aware based systems with the future demand for smart devices is challenging. Thus, it is essential to utilize techniques such as data mining and machine learning for data analytics, reasoning, and decision-making in order to maximize the smart building operation efficiency and overcome all the related challenges.
BAS/1/1601-01-01
Computer Science
The student will consider smart building services as a core for gathering data. Such data can be collected and transmitted in several ways. However, we will be interested in wireless technologies as a platform using simple devices such as smart phones. We gather the data and use data mining and machine learning techniques to make the right decisions such that we guarantee the sustainability of the smart building services.
Computer Science
Electrical and Mathematical Sciences and Engineering
Complex optoelectronics materials and phenomena
Academic Program: Electrical Engineering
Design, fabrication and characterization of new complex materials and phenomena for different optoelectronics applications.
BAS/1/1628-01-01
Physics or Engineering or Chemistry
Learning of different nanofabrication techniques; assembly of complex materials structures for different photonics applications
Electrical Engineering
Electrical and Mathematical Sciences and Engineering
Test-H Molecular doping of organic semiconductors for high efficiency optoelectronic devices
Academic Program: Materials Science & Engineering
Doping of organic semiconductors plays a fundamental role to overcome typical limitations observed in organic electronic devices. Organic light-emitting diodes (OLEDs) and organic solar cells (OSC) benefits for instance of the introduction of highly conducting injection layers, while high conductivity is one of the basic requirements for organic thermoelectric materials. Organic field-effect transistors (OFETs), on the other hand, are almost entirely based on intrinsic materials and doping has been mainly employed to pattern areas close to the contacts in order to improve charge injection.1 Beside the investigation of high degree of doping, ultralow doping has been recently attracting great interest, with the aim of directly dope the devices active layer that were usually based on intrinsic organic semiconductors. OSC containing small weight percentage of molecular dopants in the bulk heterojunction were found to display an increased short-circuit current (Jsc) and hence higher power conversion efficiency (PCE), when compared to their intrinsic counterpart.2 OLEDs have been reported with improved performance and device color modulation with dopant concentration was reported.3 A similar approach has been employed for OFETs, where extremely high mobilities, beyond the highest reported in literature, have been reported for organic semiconductors blended with low concentrations of dopants.4–6 These latter approaches are based on the addition of low fractions of dopants (£ 1-2 mol%), hence providing a different scenario from that of highly doped conducting layers. Strong efforts have been spent in the understanding of doping in organic semiconductors, both from a chemical and physical point of view, providing hence guidelines for the synthesis and application of more effective dopants. Recently, Lewis acid have been reported to show promising features as dopants for solution-processed polymers and small molecules.4 Here we propose a systematic study of different types of Lewis acids to investigate the potentiality of this doping strategy for organic field-effect transistors. Different processing routes and compositions will be studied in order to establish relevant structure/processing/property interrelationships.
BAS/1/1389-01-01
test - Please mention a point of contact in your group/lab for VSRP Interns
Materials science
1. Prepare solutions and learn coating methods for the formation of solution
processable thin films. [Month 1-6]
2. Learn how to prepare and measure organic electronic devices, such as
high emitting diodes, organic solar cells and field-effect transistor. [Month 3]
3. Study the influence of dopants in structural and optical properties of organic
semiconductors and devices. [Month 4]
4. Prepare project updates reports and presentation. [Month 6]
Materials Science & Engineering
Physical Sciences and Engineering
KAUST Solar Center
Project missing fields test 1
Academic Program: Applied Mathematics and Computational Science (AMCS)
PD
Pocket Id
Point of contact
KWFWS
FS
Project Deliveriables 1
Applied Mathematics and Computational Science (AMCS)
BESE
Graduate
Computational Bioscience Research Center
Classification of long non-coding RNAs
Academic Program: Computer Science
Long non-coding RNAs (lncRNAs) have been found to perform various functions in a wide variety of important biological processes. To make easier interpretation of lncRNA functions and conduct deep mining on these transcribed sequences, it is important to classify lncRNAs into different groups. lncRNA classification attracts much attention recently. The main technical difficulties are 1) the limited number of known lncRNAs (small training sample size), and 2) the very different lengths of lncRNAs. This project is to apply and further improve the string kernel algorithms developed in Prof. Gao’s group to the lncRNA classification problem.
BAS/1/1624-01-01
Computer science, bioinformatics, electrical engineering, applied mathematics
Computer Science
Electrical and Mathematical Sciences and Engineering
Computational Bioscience Research Center
Role of non-classical hydrogen bonding in organocatalysis
Academic Program: Chemical Science
The student will utilize kinetic (NMR, IR, etc) and computational tools (DFT calculations) to elucidate the role of hydrogen bonding network and in particular the non-classical hydrogen bonding in the thiourea and guanidine-based organocatalysis.
BAS/1/1334-01-01
Chemistry
Chemical Science
Physical Sciences and Engineering
KAUST Catalysis Center
Combining deep learning and ontologies
Academic Program: Computer Science
The project aims to identify applications of deep learning to classification problems involving ontologies, and apply these methods to biological and biomedical datasets. The main challenges of the project are (1) to develop methods that can effectively be applied both to unstructured and structured data and classify instances into classes from ontologies, and (2) to utilize data already structured with ontologies effectively in classification and regression problems. The students will be provided with real-world several datasets and are expected to implement and evaluate deep learning approaches on these datasets. To evaluate the methods on a large scale, students will have access to one of the compute clusters at KAUST.
BAS/1/1659-01-03
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Computer science, artificial intelligence, machine learning, data mining,bioinformatics, or related
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Computer Science
Electrical and Mathematical Sciences and Engineering
Undergraduate
Computational Bioscience Research Center
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Academic Program: Bioengineering (BioE)
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Bioengineering (BioE)
CEMSE
Student
Testing
Testing Waad
Academic Program: Bioengineering (BioE)
Project
Pocket ID
Recommended Student Academic & Research Background
Keyword1
Field of Study
Bioengineering (BioE)
CEMSE
Graduate
Testing
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Academic Program: Applied Physics (AP)
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asdasd123123
Applied Physics (AP)
BESE
Graduate
Testing
Project test - Pavel
Academic Program: Applied Physics (AP)
Description for the project.
Pocket Id
Point Of Contact
Keyword1, Keyword2
Field Of study
Applied Physics (AP)
CEMSE
Graduate
Testing
Pavel Test Project submit
Academic Program: Bioengineering (BioE)
Description
Pocket
asdasd
KeywordTest
FS
Bioengineering (BioE)
CEMSE
Graduate
Testing
Test Data
Academic Program: Electrical Engineering
Test Data
ABC123
Test Data
Electrical Engineering
PSE
Undergraduate
Unique ID test
Academic Program: Electrical Engineering (EE)
Unique ID test
Unique ID test
Unique ID test
Electrical Engineering (EE)
BESE
Researcher
CEMSE, BESE, Unique ID (update generates uid)
Academic Program: Applied Physics (AP)
CEMSE, BESE, Unique ID
123123
asdasdasd
Applied Physics (AP)
BESE
Researcher
Testing
Academic Program: Bioengineering (BioE)
test
test
test
Bioengineering (BioE)
Graduate
Test validation of data in backend list
Academic Program: Bioscience (B)
Our Research Centers invest in major projects and provide thematic focus and critical mass to pursue goal-oriented research that addresses significant challenges for the Kingdom and the world. They invigorate graduate education by fostering creative and problem-solving approaches in an interdisciplinary, team-based environment. They also serve as hubs for engagement of the corporate world.
KAUST1234
MAqsood syed
Bioscience (B)
CEMSE
Undergraduate
Quantifying and reducing uncertainties in earth fluid models Done
Academic Program: Earth Science and Engineering
Earth fluid models are subject to different sources of uncertainties. We will work on developing and implementing Bayesian inference approaches to quantify and reduce uncertainties in these models with focus on applications related to the coastal ocean, e.g. storm surges, tsunamis, oil spill, waves, etc. We envision using statistical and polynomial chaos-based techniques to build surrogate models that can be used to reduce the computational burden of the sampling step in the Bayesian inference. KAUST
BAS/1/1318-01-01
VSRP
KAUST
Coral reef biodiversity
Earth Science and Engineering
CEMSE
Graduate
Testing
Duplicate Artificial project
Academic Program: Energy Resources and Petroleum Engineering (ERPE)
The aim of the project is to design and study the performance of a system that can combine communications and localization. The envisioned application scenario is for low cost sensors where adding extra hardware and processing power to aid in localization is not desirable. In short, the idea is to design a "cheap" sensor that can utilize the same HW to send the data it collects and allow other devices to determine its position.
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Energy Resources and Petroleum Engineering (ERPE)
PSE
Researcher
THE HOLISTICAPPROACH TO CATALYZING CHANGE
Academic Program: Material Science and Engineering (MSE)
The aim of the project is to design and study the performance of a system that can combine communications and localization. The envisioned application scenario is for low cost sensors where adding extra hardware and processing power to aid in localization is not desirable. In short, the idea is to design a "cheap" sensor that can utilize the same HW to send the data it collects and allow other devices to determine its position.
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wsd
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Material Science and Engineering (MSE)
BESE
Undergraduate
Testing
Superluminescent Diodes
Academic Program: Electrical Engineering
The aim of the project is to design and study the performance of a system that can combine communications and localization. The envisioned application scenario is for low cost sensors where adding extra hardware and processing power to aid in localization is not desirable. In short, the idea is to design a "cheap" sensor that can utilize the same HW to send the data it collects and allow other devices to determine its position.
Electrical Engineering
CEMSE
Graduate
Statistical models based on stochastic partial differential equations Done
Academic Program: BioScience
The student will learn about modern statistical methods based on stochastic partial differential equations (SPDEs). One important advantage with formulating statistical models using SPDEs is that it facilitates non-Gaussian extensions of several popular Gaussian models. Such extensions are useful for applications where the data has features that cannot be captured by Gaussian models. The goal of the project is to implement and compare these models for applications to longitudinal medical data and spatial environmental data. KAUST |
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MAqsood syed
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BioScience
PSE
Graduate
KAUST Solar Center
Diversity and ecology of the coral genus Leptoseris in mesophotic environments
Academic Program: BioScience
Coral-dominated benthic mesophotic communities are receiving increasing attention as new technologies allow their exploration and new molecular approaches are used to understand the evolution of the organisms that are part of them. They remain, however, largely unexplored and several aspects of their biological diversity and biogeography have not been addressed so far. Among the dominant taxa in benthic mesophotic assemblages, the scleractinian genus Leptoseris is particularly challenging in terms of our understanding of its diversity and ecology. We are looking for a graduate student to investigate: 1) an assessment of the morpho-molecular diversity of mesophotic Leptoseris in the Red Sea and the Indo-Pacific, 2) a preliminary characterization of the zooxanthellae communities associated to mesophotic Leptoseris. Jeddah Makkah
Makkah
BioScience
Researcher
Assessment of CCS in Saudi Arabia
Academic Program: Energy Resources and Petroleum Engineering
The aim of the project will be to contribute to the assessment of the CCUS potential in Saudi Arabia through the assessment of stationary CO2 emissions as well as the cost analysis (separation, capture, and transportation costs involved in CCS). The database for CO2 emissions from stationary sources in the Kingdom includes emissions from electricity generation, desalination, oil refineries, cement industry, petrochemicals, and iron & steel from 2016, that need to be verified and updated with most up-to-date data. The assessment will also include looking at identifying potential storage locations and estimating the capacity of storing CO2 in deep aquifers, depleted hydrocarbon reservoirs, and basaltic rocks.
The VSRP student will be involved in data analysis and interpretation in Petrel and, by picking up new ideas and techniques, will be able contribute to the further development of the Petrel/ArcGIS geological model of Saudi Arabia in order to identify and characterize potential CO2 storage sites in the country.
The student will also help in establishing and developing the national carbon storage atlas for KSA. A carbon storage atlas is a comprehensive assessment of all aspects of CCS including CO2 emissions, best practices, and emerging technologies related to carbon capture, transportation, and assessments of storage in potential geological sites and associated costs.
The work may include this section petrography using optical and electron microscopes to characterize rocks for carbon disposal.
The VSRP student will be involved in data analysis and interpretation in Petrel and, by picking up new ideas and techniques, will be able contribute to the further development of the Petrel/ArcGIS geological model of Saudi Arabia in order to identify and characterize potential CO2 storage sites in the country.
The student will also help in establishing and developing the national carbon storage atlas for KSA. A carbon storage atlas is a comprehensive assessment of all aspects of CCS including CO2 emissions, best practices, and emerging technologies related to carbon capture, transportation, and assessments of storage in potential geological sites and associated costs.
The work may include this section petrography using optical and electron microscopes to characterize rocks for carbon disposal.
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Energy Resources and Petroleum Engineering
PSE
Researcher
KAUST Solar Center