Total Result(s) Found: 163
Bioaccumulation of emerging contaminants in Red Sea coral reef organisms
Academic Program: Marine Science
Emerging contaminants (i.e., contaminants that have been recently in the ecosystem) are becoming a concern worldwide. Several studies have shown that contaminants can bioaccumulate in marine organisms, causing physiological and morphological impacts. Among these contaminants are some stimulants (caffeine) and medicines (e.g., diclofenac) that are commonly used by humans and end up frequently in the marine environment. Limited information is available in the Red Sea regarding the accumulation of emerging contaminants in coral reef organisms. Nevertheless, previous research in the region showed high concentrations of contaminants like caffeine and diclofenac in water samples collected near urbanized areas. This project aims to quantify the concentrations of caffeine and diclofenac in biological tissues of reef-associated organisms like corals and algae. This study will serve as the foundation to conduct ecotoxicological studies to investigate the response of those organisms to different concentrations of these emerging contaminants and guide environmental regulation. The student will participate in the processing of samples, quantification of contaminants, data analyses and writing. If time permits, one lab-based experiment will be conducted to assess the responses of coral larvae to observed concentration ranges of targeted contaminants.
Draft of a publication based on the data collected.
Develop and conduct a lab-based ecotoxicological experiment
Joint models for longitudinal and survival data
Academic Program: Statistics
Geomorphological and sedimentological study of submerged reefs in the southern Red Sea
Academic Program: Earth Science and Engineering
Design, implementation and deployment of a secure, large scale, distributed experimental platform environment
Academic Program: Computer Science
Continuous-mode SandX Rector Automation
Academic Program: Environmental Science and Engineering
Reactions of lung surfactants at the air–water interface
Academic Program: Environmental Science and Engineering
Longitudinal imaging in mouse visual cortex
Academic Program: BioScience
Development of electro-optical characterization techniques for solar cells
Academic Program: Materials Science & Engineering
Development of deep work function hole transport layer for organic semiconductor diodes.
Academic Program: Applied Physics
Quantifying microbial diagenesis in shallow marine carbonate sediment using CT-scan
Academic Program: All Programs
Academic Program: Earth Science and Engineering
Geochemical investigation and abrasion experiments to decipher the origin of lime mud
Academic Program: All Programs
Impact of mangrove ecosystems on carbonate sediment: integration of carbonate chemistry and petrography.
Academic Program: All Programs
Unraveling the molecular basis of coral symbiosis and bleaching
Academic Program: BioScience
Coral reef ecology in a changing environment
Academic Program: Marine Science
Deep Learning for Visual Computing (Computer Vision, Machine Learning, Graphics)
Academic Program: Computer Science
Coral trophic ecology in the Red Sea
Academic Program: Marine Science
Developing a soft sensor to monitor water quality
Academic Program: Applied Mathematics and Computer Science
Safety-Guaranteed Planning and Control for Autonomous Underwater Robots
Academic Program: Electrical Engineering
How does Federated Learning work in the real world?
Academic Program: Computer Science
Dexterous Robot Manipulation using Physics Engine
Academic Program: Electrical Engineering
Serverless Computing Security
Academic Program: Computer Science
Siliciclastics in Al Wajh carbonate lagoon
Academic Program: Earth Science and Engineering
Seeing the invisible – air flow around droplet upon impact
Academic Program: Mechanical Engineering
Engineering an isothermal amplification strategy for ultrasensivite and quantitative detection of microRNA cancer biomarkers
Academic Program: BioEngineering
Academic Program: Materials Science & Engineering
Unraveling the molecular basis of immune signaling
Academic Program: BioScience
Protein Synthetic Biology
Academic Program: BioScience
Contextualized Embeddings for Biomedical Data
Academic Program: BioScience
Characterization of IL11-deficiency in humans
Academic Program: BioScience
Security analysis of Docker-based containerized environments
Academic Program: Computer Science
Monitoring containerized environments for security state error detection
Academic Program: Computer Science
Trees, Algebras, and Differential Equations: Extending the B-series.jl package for numerical analysis of initial value problems
Academic Program: Applied Mathematics and Computer Science
Seawater Reverse osmosis (SWRO) pretreatment impact on microbial growth potential
Academic Program: Environmental Science and Engineering
ClO2 for biofouling control in Seawater Reverse Osmosis
Academic Program: Environmental Science and Engineering
Breaking the Vehicle Over-The-Air Update System
Academic Program: Computer Science
Vehicle Intrusion Resilience Systems in Action
Academic Program: Computer Science
Rejuvenation of Diverse FPGA Softcores in a SoC
Academic Program: Computer Science
Useful Bitcoin Mining with a Matrix-based Puzzle
Academic Program: Computer Science
Advanced Breach and Attack Simulation using ML
Academic Program: Computer Science
Achieving sustainable urban greening through the integration of anaerobic membrane bioreactor and nature-based biofiltration landscaping gardens.
Academic Program: Environmental Science and Engineering
The KSA Native Genome Project
Academic Program: Plant Science
Biodiversity of Red Sea Reef Fishes
Academic Program: Marine Science
Connectivity of Shark Populations
Academic Program: Marine Science
Integrating microbial electrolysis cell with anaerobic digestion to enhance resource recovery from waste activated sludge
Academic Program: Environmental Science and Engineering
Forensics analysis of the malicious bot scrapers ecosystem
Academic Program: Computer Science
Pen testing the intra network elements
Academic Program: Computer Science
Egaming security
Academic Program: Computer Science
Academic Program: Electrical Engineering
Tackling the challenges of NO-Laser Induced Fluorescence technique in hydrogen detonation
Academic Program: Mechanical Engineering
Scaling Graph Neural Networks to 1000s of GPUs
Academic Program: Computer Science
Statistical and machine learning methods for health and environmental applications.
Academic Program: Statistics
Egocentric Video Understanding
Academic Program: Computer Science
Next Generation Continual Learning
Academic Program: Computer Science
Graph Neural Networks for Science and Engineering
Academic Program: Computer Science
Next Generation 3D Understanding
Academic Program: All Programs
Academic Program: Computer Science
Enzymatic Synthesis – Enzyme Characterization and Cascade Engineering
Academic Program: BioScience
Biocatalytic Amine Synthesis
Academic Program: BioScience
The Development of Organic Transformations via Photocatalysis
Academic Program: BioScience
Academic Program: Chemistry
Electro-catalyzed C-C and C-X bond cross-couplings
Academic Program: Chemistry
Functional metagenomics: AI-based analysis of complex microbial interactions
Academic Program: BioEngineering
Neuro-symbolic AI algorithms
Academic Program: Computer Science
Iproved oil recvery from carbonates
Academic Program: Energy Resources and Petroleum Engineering
Nanovisualization
Academic Program: Computer Science
During the research internship students will learn about the nanovisualization technology which combines computer graphics and visualization for nano-structures in life sciences and biotechnology. Nanovisualization poses several new technological challenges that are not reflected in the state of the art computer graphics and 3D visualization as of today. The underlying domain requires new techniques for multi-scale, multi-instance, dense, three-dimensional models which we never subject of technological advances in 3D graphics before. These scenes are of gigantic sizes and unmatched complexity. Therefore the task in nanovisualization is to thoroughly revisit all technological aspects of rendering, visualization, navigation, user interaction, and modeling in order to offer algorithmic solutions that address new requirements associated with the nano and microscopic scales.Throughout their stay, students will be working in team with researchers on specific assignment for a particular scientific work or solving a technical challenge in the field of computer graphics and visualization. Nanovisualization is one of the key components in creating, studying, and understanding scale-wise small (but complex) systems. As such it will become a key technology in the upcoming industrial revolution that will be heavily associated with the nano scale.The benefit for the students is to get familiar with nanovisualization research field, which is worldwide uniquely offered at KAUST. They will be integrated in working on a very important problems so far untouched in graphics and visualization that are very relevant for many societal challenges from the health, food, and energy sectors.
Formation of hydrogen peroxide in water microdroplet
Academic Program: Environmental Science and Engineering
Growth and characterization of 2D materials using sputtering
Academic Program: Electrical Engineering
Dissecting the molecular basis of the neurodevelopmental features associated with Klinefelter syndrome
Academic Program: BioEngineering
Integrated silicon photonics
Academic Program: Electrical Engineering
3D CoraPrint and underwater superglue for coral restoration
Academic Program: BioEngineering
3D bioprinting of biomimetic acute myeloid leukemia disease models
Academic Program: BioEngineering
3D model of colorectal cancer organoids
Academic Program: BioEngineering
Integration of reservoir simulation with deep learning for subsurface reservoir management
Academic Program: Energy Resources and Petroleum Engineering
Protein design based on AlphaFold2
Academic Program: Computer Science
3D printing of smart composites for wireless structural health monitoring
Academic Program: Mechanical Engineering
Techno-economic uncertainty quantification and robust design optimization of hydrothermal and CO2-based geothermal systems
Academic Program: Earth Science and Engineering
Seismic activity in the western part of the Arabian peninsula
Academic Program: Earth Science and Engineering
Digital Outcrop Model-based analysis of fracture network
Academic Program: Earth Science and Engineering
Capturing adhesion molecules in action through imaging
Academic Program: BioScience
Machine learning for wireless communication systems
Academic Program: Electrical Engineering
Micro-devices for AR and VR head-mounted displays
Academic Program: Electrical Engineering
Identifying novel Cas variants for pathogen diagnostics
Academic Program: BioEngineering
Investigating the carrier dynamics of emerging wide band gap semiconductor for novel optoelectronic applications
Academic Program: Marine Science
Academic Program: Materials Science & Engineering
Organic Solvent Nanofiltration
Academic Program: Chemical Engineering
Safeguarding our daily bread from wheat rust diseases
Academic Program: Plant Science
Design and 3D print a continuous flow reactor
Academic Program: Chemical Engineering
Modelling tools for advanced separation processes
Academic Program: Chemical Engineering
Modeling Fluid Flow and Transport in Porous Media by Physics-driven Simulation Approaches
Academic Program: Energy Resources and Petroleum Engineering
Fully 3D Printed Flexible ECG Patch with Dry Electrodes
Academic Program: Electrical Engineering
Efficient pricing of high-dimensional (multi-assets) European Options
Academic Program: Applied Mathematics and Computer Science
Learning to model geophysical processes with NNs
Academic Program: Earth Science and Engineering
Resilient Models for Attacks Detection in Cyber-Physical Systems
Academic Program: Electrical Engineering
Real-Time (co-)Simulation for Cybersecurity
Academic Program: Computer Science
Regaining Trust in IoT
Academic Program: Computer Science
Cyber-Secure Integration of Renewable Energy Sources
Academic Program: Electrical Engineering
Ransomware in Industrial Control Systems
Academic Program: Computer Science
Machine learning techniques for divergence-free field reconstruction
Academic Program: Applied Mathematics and Computer Science
The student will work on machine learning techniques applied to the study of divergence-free flow reconstruction. Specifically, the student will use different Neural Network architectures and training algorithms to reconstruct a divergence-free flow from sparse and noisy data. The student will also investigate the spectral properties of the reconstructed flow and use this information to improve the training algorithm. They will test the methods on several problems and compare results with existing methods. We will meet weekly during the duration of the project.
Machine Learning and Dynamical Systems
Academic Program: Applied Mathematics and Computer Science
Developing bioinformatic tools for Multi-omic data integration
Academic Program: BioScience
Bringing Chromatin Conformation and Spatial profiling into clinical research
Academic Program: BioScience
Numerical approximation of partial differential equations
Academic Program: Applied Mathematics and Computer Science
Causal and Fair Machine Learning
Academic Program: Computer Science
Robust/Differentially Private Machine Learning
Academic Program: Applied Mathematics and Computer Science
Foundations of Private and Fair Statistics
Academic Program: Statistics
Protocol development for biomass quantification in membrane autopsies
Academic Program: Environmental Science and Engineering
Tectonic evolution through analogue modelling
Academic Program: Energy Resources and Petroleum Engineering
The Arabian plate geology group is building a state of the art analogue modelling laboratory, which will be functional by year-end 2020. The apparatus consists of two rigid plates which can be displaced in x,y and z directions. This setup brings unlimited variety for future geological models. The analogue modelling apparatus can be used with either CT-scanner or normal laboratory conditions, for which an additional acquisition apparatus is under construction. This equipment will be used primarily for modeling large-scale tectonic processes of the Red Sea and the Dead Sea Transform. |
Body Area Networks
Academic Program: Electrical Engineering
Conceptual design of membrane processes
Academic Program: Chemical and Biological Engineering
Statistical models based on stochastic partial differential equations
Academic Program: Statistics
Multilevel and Unbiased Monte Carlo Methods for Option Pricing
Academic Program: Applied Mathematics and Computer Science
Online Outlier Detection for Functional Data
Academic Program: Statistics
Internship on Deep learning Methods for Satellite Data Downscaling
Academic Program: Statistics
Continual Learning
Academic Program: Computer Science
Imagination Inspired Vision
Academic Program: Computer Science
Diel Variations in the primary productivity of the upper ocean from autonomous glider and autonomous profiling float observations
Academic Program: Marine Science
Microfluidics-based single-molecule fluorescence imaging of nanoscopic cellular interactions
Academic Program: BioScience
Development of shortwave infrared emitting fluorophores and bioimaging application
Academic Program: BioScience
Impacts of UV radiation on corals and other organisms in the Red Sea
Academic Program: Marine Science
Biological stability of chlorinated and non-chlorinated drinking water
Academic Program: Environmental Science and Engineering
Characterization of biofilm growthrate in a membrane system
Academic Program: Environmental Science and Engineering
Gradient compression for distributed training of machine learning models
Academic Program: Computer Science
Towards a Principled Understanding of Deep Learning
Academic Program: Computer Science
Federated Learning
Academic Program: Computer Science
Topics in Machine Learning and Optimization
Academic Program: Applied Mathematics and Computer Science
Mapping protein complexes in vivo
Academic Program: Plant Science
Molecular mechanisms underlying growth and defense in plants
Academic Program: Plant Science
Spatio temporal analysis of expression of genes controlling assymetric stem cell division and tissue patterning in plants
Academic Program: Plant Science
Experimental study of carbon-free combustion
Academic Program: Mechanical Engineering
Passivation in Perovskite Solar Cells
Academic Program: Materials Science & Engineering
Thermal Evaporation of Perovskite Absorbers for Silicon Perovskite Tandem Solar Cells
Academic Program: Materials Science & Engineering
Broadband Transparent Front Electrodes for Perovskite Silicon Tandem Solar Cells
Academic Program: Materials Science & Engineering
Novel Electron and Hole Transport Layers by Atomic Layer Deposition Technique for Perovskite Silicon Tandem Solar Cells
Academic Program: Materials Science & Engineering
Salinity Tolerance of Plants
Academic Program: Plant Science
Developing an In Vitro 3D Tissue Model for Studying Alzheimer’s Disease
Academic Program: Computer Science
Inverse Problems in Imaging
Academic Program: Computer Science
Computational Cameras
Academic Program: Computer Science
Why it is so difficult to find potent drugs against cancer? - decoding the druggability of molecular targets
Academic Program: BioScience
Fouling in Membrane Filtration Systems
Academic Program: Earth Science and Engineering
Complex optoelectronics materials and phenomena
Academic Program: Electrical Engineering
Cutting-edge research on materials, devices, or physics of the third-generation semiconductor
Academic Program: Electrical Engineering
Plant-Beneficial Microbe Interaction
Academic Program: BioScience
An iPSCs-based approach to model Type Two Diabetes in-vitro
Academic Program: BioScience
Screening for Carotenoid-Derived Signaling Molecules
Academic Program: BioScience
Machine Learning for Graphs
Academic Program: Computer Science
We have numerous projects where we work networks or graphs of various kinds, biological ones in particular. Networks can be undirected, directed with or without signs, discrete or continuous.
For publications see google scholar (https://scholar.google.com/citations hl=sv&user=_DUppAgAAAAJ&view_op=list_works&sortby=pubdate).
Challenges and sub-projects include:-
How to compare 2 and several networks,review,benchmark current methods, invent new efficient algorithms for network comparison
-Analyze networks embedded in hyperbolicspace
-Review, benchmark current methods for embedding networks into anML framework
-Generative modeling of networks constrained by correlational information from data-sets
-Partially overlapping networks,analyzetheirputativealignment,constructionof multi-layer networks from several partially overlappinggraphs.
-Search and propagation in multi-layernetworks
-Alignment of several but different real protein interaction networks
Machine Learning for Biological and Medical Imaging
Academic Program: Computer Science
We have recently developed hybrid machine learning techniques for retinal images. For publications see google scholar(https://scholar.google.com/citations?hl=sv&user=_DUppAgAAAAJ&view_op=list_works&sortby=pubdate). Challenges include limited number of images, unbalanced data-sets, and interpretability of feature representations. Subprojects include to
Formulation and training of robust generative models (e.g.GANsand versions thereof) for the Retinal Dataset-
Extend and apply the techniques to melanoma datasets Develop and apply techniques to identify meaningful (biological/medical) feature representation from a successfulclassification