Total Result(s) Found: 252
Digital Outcrop Model-based analysis of fracture network
Academic Program: Earth Science and Engineering
Improving calcification of marine green algae
Academic Program: Earth Science and Engineering
Holocene sea level changes and geomorphological evolution Oman coast.
Academic Program: Earth Science and Engineering
Microbial-related diagenesis in shallow marine carbonate sediments
Academic Program: Earth Science and Engineering
Capturing adhesion molecules in action through imaging
Academic Program: BioScience
Calcification of large benthic foraminifers
Academic Program: Earth Science and Engineering
Machine learning for wireless communication systems
Academic Program: Electrical Engineering
Understanding the role of climate change in carbonate diagenesis
Academic Program: Earth Science and Engineering
Academic Program: Marine Science
Coral larvae settlement preferences on marine litter
Academic Program: Earth Science and Engineering
Micro-devices for AR and VR head-mounted displays
Academic Program: Electrical Engineering
Lithium mining from water lithium resources
Academic Program: Chemical Science
Phthalocyanine-based Porous Polymers for Precious Metals Recovery from Industrial Waste
Academic Program: Chemical Science
Top-down modulation of cortical circuitry in Autism Spectrum disorders
Academic Program: BioScience
The mangrove microbiome in the Red Sea: a source of nature based solutions
Academic Program: BioScience
Extreme environments as a source of novel extremophiles and bioproducts
Academic Program: BioScience
Identifying novel Cas variants for pathogen diagnostics
Academic Program: BioEngineering
Carbon-neutral interconversion of CO2 and liquid fuels
Academic Program: Chemical Engineering
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
Devices processing an characterization: Charge separation in organic solar cells
Academic Program: Applied Physics
Excited states characterization: spectroscopy of excited states at organc semiconductor thin films interfaces.
Academic Program: Materials Science & Engineering
Orgin of Carbonate Mud in a modern land-attached Carbonate Platform Lagoon
Academic Program: Earth Science and Engineering
Seagrass distribution in the Red Sea
Academic Program: Marine Science
Safeguarding our daily bread from wheat rust diseases
Academic Program: Plant Science
Design and 3D print new geometries for adsorption processes
Academic Program: Chemical and Biological Engineering
Academic Program: Chemical Engineering
Design and 3D print a continuous flow reactor
Academic Program: Chemical Engineering
Modelling tools for advanced separation processes
Academic Program: Chemical Engineering
Characterization of carbonate sediments
Academic Program: Earth Science and Engineering
Modeling Fluid Flow and Transport in Porous Media by Physics-driven Simulation Approaches
Academic Program: Energy Resources and Petroleum Engineering
Importance Sampling to efficiently compute rare events probabilities
Academic Program: Applied Mathematics and Computer Science
Calcification rates of calcifying algae
Academic Program: Marine Science
In situ stress on the Arabian Plate
Academic Program: Energy Resources and Petroleum Engineering
The importance and value of mapping the present day in stress – both orientation and recently also magnitude – has been demonstrated by the World Stress Map (WSM) Project. Publications show that lithospheric in situ stress is controlled by the forces exerted at tectonic plate boundaries as well as gravity-induced deformation. The Arabian Peninsula is part of a small tectonic plate that is characterized by active and appreciable deformations along its boundaries: (i) extension, rifting, and seafloor spreading in the Red Sea; (ii) sinistral strike-slip faulting along the Aqaba-Dead Sea transform fault system to the northwest; (iii) convergence and continental collision along the Zagros and Bitlis suture to the north and northeast; (iv) oblique extension and dextral transform faults in the Arabian Sea to the southeast. Thus, knowledge of the present-day in situ stress field in the Arabian plate and its variability is critical for earth science disciplines in academia as well as industry and requires an understanding of geodynamic processes. Further, it is essential for a range of practical applications that include the production of hydrocarbons and geothermal energy, mine safety, seismic hazard assessment, underground storage of CO2, and more.
We are looking for a highly motivated bachelor or master student who will be responsible for conducting an extensive literature review of the present-day stress field on the Arabian Plate. The purpose is to compile a database that lists present-day in situ stress magnitudes and orientations as calibration points in an advanced numerical framework for plate deformation.
The successful candidate will have effective time management, the ability to work self-dependent under direct guidance, and above average English skills (both writing and spoken).
Findings from this internship project will be integrated into the development of a data cube across the Arabian Peninsula.
We expect that this research will lead to publications, which the student can contribute to.
Dr Thomas Finkbeiner and a postoc will be involved in the day-to-day oversight of this project.
A blueprint for an Indonesian Landslide Early Warning System
Academic Program: Statistics
Link between heterotrophic capacity of Red Sea coral holobionts
Academic Program: Marine Science
Relative importance of denitrification within the nitrogen budget of Red Sea coral holobionts
Academic Program: Marine Science
Fully 3D Printed Flexible ECG Patch with Dry Electrodes
Academic Program: Electrical Engineering
Fabrication and characterization of crossbar arrays of h-BN based memristors
Academic Program: Materials Science & Engineering
Fabrication of memristors with localized nanofilament
Academic Program: Materials Science & Engineering
Exploration of dielectric breakdown in hBN
Academic Program: Materials Science & Engineering
Spectroscopic code optimization for web interface integration and high-performance computing simulations
Academic Program: Mechanical Engineering
Bioenergy Carbon Capture and Storage (BECCS) scaling potential in consideration of planetary boundaries
Academic Program: Chemical Engineering
Stochastic Differential Equations for Quantifying Forecast Uncertainty and Application to Renewable Power Forecast Data
Academic Program: Applied Mathematics and Computer Science
The student will work on building stochastic forecast models. We propose to model wind and
solar power forecast errors using parametric stochastic differential equations (SDEs). This
approach has been applied in various works: (Elkantassi et al., 2017 and Møller et al., 2016)
for wind power and (Badosa et al., 2018) for solar power. These SDEs will describe the evolution
over time of wind and solar power forecast errors. By inferring the parameters of our SDEs,
we can construct several possible forecast scenarios that are crucial to the decision-making
process. To compute the SDEs' parameters, we will use historical power production and an available deterministic forecast provided by official sources. We will also introduce an adaptive stepping method to simulate the paths of our SDE. We apply our approach on data from Uruguay as the country has been a global leader in the renewable energy transition.
The outcome of this project will be a general framework for uncertainty quantification and scenario
generation. In particular, this framework will be useful to:
- provide novel different parametric model forms for renewable power using probabilistic forecasts based on stochastic differential equations.
- develop computationally efficient and mathematically rigorous methods for estimating the SDE model parameters.
- quantify the uncertainty of the given physic based renewable power numerical forecasts.
- compare systematically power numerical forecasts in terms of the available data.
As the main project deliverable, we expect a scientific report (eventually a research manuscript) including detailed description and analysis of the proposed methodology developed within the course of the internship and providing all numerical experiments to showcase the versatility of the proposed framework.
The working environment the student will use should include a GIT repository shared with the project collaborators in which he includes all project-related materials such as progress reports codes, figures, and important references from the literature to facilitate the supervision task and communicate ideas more effectively.
We will meet weekly during the period of the project. The student is asked to work within a team that includes myself, an Associate Professor at Universidad De La Republica (Uruguay) and an Associate Professor at Paris 13 University.
Coral Microbiology and probiotics
Academic Program: Marine Science
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
Physiology of corals from Red Sea reef flats
Academic Program: Marine 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.
Concentrated Solar Thermal Energy for Mineral Processing
Academic Program: Mechanical Engineering
A Machine Learning Approach to Unentangle Wetting
Academic Program: Chemical Engineering
Academic Program: Environmental Science and Engineering
Electro-catalyzed C-C and C-X bond cross-couplings
Academic Program: Chemical Science
Expediting surface wave dispersion curve picking with ML
Academic Program: Earth Science and Engineering
Machine Learning and Dynamical Systems
Academic Program: Applied Mathematics and Computer Science
Learning to Cooperate in Multi-Robot Systems
Academic Program: Electrical Engineering
Developing bioinformatic tools for Multi-omic data integration
Academic Program: BioScience
Bringing Chromatin Conformation and Spatial profiling into clinical research
Academic Program: BioScience
Characterization of chemical contaminants in wastewater to predict its role on natural transformation among microorganisms
Academic Program: Environmental Science and Engineering
Robot Navigation in Crowded Environments
Academic Program: Electrical Engineering
Numerical approximation of partial differential equations
Academic Program: Applied Mathematics and Computer Science
Imaging with a Drone-borne Synthetic Aperture Radar
Academic Program: Electrical Engineering
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
Lithofacies classification with transition-aware Neural Networks
Academic Program: Environmental Science and Engineering
Hydrodynamic characterization of membrane spacers
Academic Program: Environmental Science and Engineering
Protocol development for biomass quantification in membrane autopsies
Academic Program: Environmental Science and Engineering
KAUST-BioMOFs
Academic Program: Chemical Science
Impact of Holocene climatic shifts on the spatial sediment distribution in a carbonate lagoon
Academic Program: Energy Resources and Petroleum Engineering
Influence of short-term climate changes on the spatial facies distribution ina carbonate platform lagoon during Holocene (N Red Sea)
Academic Program: Earth Science and Engineering
Numerical Study of CO2 Storage in a Deep Aquifer in Saudi Arabia
Academic Program: Energy Resources and Petroleum Engineering
The ongoing greenhouse gas emissions to the atmosphere is a global concern. Climate change could be mitigated by stabilizing and reducing the levels of heat-trapping greenhouse gases in the atmosphere. In this context, the role of Carbon Capture and Storage (CCS) becomes important, as it is one of very few options available to us to maintain the value of fossil fuels whilst reducing emissions. CCS technology corresponds to a mature and feasible solution that can be applied to meet the objectives set by various governments and agreements worldwide for reducing greenhouse gas emissions from carbon intensive industries. CCS is an essential component in all IPCC scenarios that limit global warming, and has also been recognized as a main enabler for Circular Carbon Economy (CCE). The objective of this project is study the feasibly of CO2 storage in a deep aquifer in Saudi Arabia. The focus will be on building a 3D high-resolution geological model in Petrel. The model will incorporate well data, outcrops, and analogs. Different realizations will be considered to account for uncertainties. Simulations will then be conducted to assess the storage capacity, development alternatives, what-if scenarios, and risk assessments. |
- Build 3D geological model in Petel - Generate high-resolution corner-point simulation grids - Populate the static model - Propose alternative development plans - Perform simulations using Intersect - Document findings in presentations and a final technical report |
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. |
High-resolution numerical modeling of atmospheric processes over the Arabian Peninsula
Academic Program: Earth Science and Engineering
The study will focus on the simulation of high-resolution regional atmospheric processes at the Arabian Coast of the Red Sea. This area is one of the most populated in Saudi Arabia, and it is planned to be intensively developed in the scope of the 2030 vision. The project will involve modeling using the Weather Research and Forecast model WRF to evaluate the effect of urbanization over the coastal plain. The simulation will be conducted on the KAUST supercomputer system and will be focusing on the impact of the coastal urbanization on sea and land breezes. The analysis will require extensive data processing and "big-data" manipulation. |
Data analysis software
Data analysis results
Report on data set organization, analysis software, and interpretation of the results
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. |
Contribute to the construction, verification and use of the 3D geological model of the Saudi Arabia using GIS and specialized geological interpretation software (creation/modification of formation top surfaces corresponding to potential storage sites, input of data e.g. well information, etc) Verification of input and update of the existing GHG emissions database with the most recent data for the current CO2 stationary sources with locations, rates and industry sector for the country. |
Body Area Networks
Academic Program: Electrical Engineering
Conceptual design of membrane processes
Academic Program: Chemical and Biological Engineering
Data and power conversion using Microelectromechanical systems (MEMS)
Academic Program: Electrical Engineering
Spintronics Memory, Logic Devices and Circuits for Neuromorphic Computing Systems
Academic Program: Electrical Engineering
Molecular doping of organic semiconductors for high efficiency optoelectronic devices
Academic Program: Materials Science & Engineering
Statistical models based on stochastic partial differential equations
Academic Program: Statistics
Biodiversity of Red Sea Reef Fishes
Academic Program: Marine Science
Connectivity of Shark Populations
Academic Program: Marine Science
Unraveling fungi community patterns in Red Sea coral reefs
Academic Program: Marine Science
The effect of rootstock-scion combination on microbiome selection by fruit plants
Academic Program: BioScience
CRISPR-based genetic engineering of stem cells for in vitro production of human blood
Academic Program: BioScience
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
Imaging the interfacial charge carrier dynamics at axial p-n junction nanowires
Academic Program: Chemical Science
Real-Space Imaging of Perovskite Single Crystals Using 4D Electron Microscopy
Academic Program: Chemical Science
Model- vs. Data-Parallelism for Training of Deep Neural Networks
Academic Program: Computer Science
Design and Control of Power Conversion Systems
Academic Program: Electrical Engineering
Continual Learning
Academic Program: Computer Science
Imagination Inspired Vision
Academic Program: Computer Science
Accelerated Chemistries in High-voltage Sprays of Water
Academic Program: Environmental Science and Engineering
Liquid marbles
Academic Program: Environmental Science and Engineering
How Insects-inspired Surfaces Prevent Wetting?
Academic Program: Environmental Science and Engineering
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
Numerical modeling of enhanced geothermal systems
Academic Program: Earth Science and Engineering
Stochastic analysis of multiple fracture propagation and interaction in reservoir rocks
Academic Program: Earth Science and Engineering
Joint models for longitudinal and survival data
Academic Program: Applied Mathematics and Computer Science
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
3D Bioprinting of Cell-Laden Microgels for the General Construction of Vascularized Tissue Structures and Organoids
Academic Program: BioScience
Modelling and numerical simulation
Academic Program: Applied Mathematics and Computer Science
MPS modelling of carbonate rocks
Academic Program: Earth Science and Engineering
Vertical and Lateral Heterogeneity in Unconventional Source Rock Sequences
Academic Program: Energy Resources and Petroleum Engineering
Micritization under elevated temperature and pressure
Academic Program: Applied Mathematics and Computer Science
Pleistocene to Holocene sediment dynamics of the Al Wajh Bank slope (Red Sea)
Academic Program: Earth Science and Engineering
Expression, Purification, Characterization of Proteins for Biocatalysis
Academic Program: BioScience
Visible-light Photoredox Catalysis Transformations
Academic Program: Chemical Science
Over the past few years, the field of photocatalysis has demonstrated its potential to drive complicated chemical reactions under mild conditions using visible-light as an energy source and inexpensive, bench-stable substrates as feedstocks. Our group has been focused on the development of photocatalyzed organic transformations via diverse pathways including single electron transfer (SET), energy transfer (ET), photo-excited metal cross-coupling, electron-donor-acceptor (EDA) complex. Project-duration will be 3-6 month, details of arrival/departure dates to be discussed.
Tackling the challenges of OH-Laser Induced Fluorescence technique on detonation: numerical approach to improve experimental design
Academic Program: Mechanical Engineering
Temperature of hydrogen-air detonations: measurements by 2-color planar laser induced fluorescence of the hydroxyl radical
Academic Program: Mechanical 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
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.
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
Large-Scale Scientific Visualization
Academic Program: Computer 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
Novel Ultrashort Peptide Nanogels Generate Silver Nanoparticles to Combat Emerging Antimicrobial Resistance Strains
Academic Program: Computer Science
Developing an In Vitro 3D Tissue Model for Studying Alzheimer’s Disease
Academic Program: Computer Science
3D Bioprinting of Multicellular Constructs for the Development of Vascularized Skin Grafts
Academic Program: Computer Science
Inverse Problems in Imaging
Academic Program: Computer Science
Computational Cameras
Academic Program: Computer Science
In-liquid Visualization of Phenol during Plasma Purification
Academic Program: Mechanical Engineering
Molecular hospitality seen by NMR spectroscopy
Academic Program: BioScience
Deciphering the molecular mechanisms of DNA replication and repair – integration of computational and experimental approaches
Academic Program: BioScience
Why it is so difficult to find potent drugs against cancer? - decoding the druggability of molecular targets
Academic Program: BioScience
Advanced Wastewater Treatment for Water Reclamation and Reuse
Academic Program: Environmental Science and Engineering
The student will learn various techniques to characterize the quality of water and food. He/She will learn different techniques necessary to monitor the efficiency of the process. Part of the work will be focused on the evaluation of different approaches for improving the quality of the treated water.
Fouling in Membrane Filtration Systems
Academic Program: Earth Science and Engineering
Modeling structure and properties of transition metal complexes
Academic Program: Chemical Science
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
Cutting-edge genomics to unravel the genetic basis of disease resistance in crop plants 2
Academic Program: Plant Science
Cutting-edge genomics to unravel the genetic basis of disease resistance in crop plants
Academic Program: BioScience
Identifying the genetic drivers of thermal tolerance plasticity in the coral model Exaiptasia
Academic Program: Marine Science
Improving coral thermal tolerance through association with acclimatized Symbionts
Academic Program: Marine Science
High resolution remote sensing of agricultural systems for improved water and food security
Academic Program: Environmental Science and Engineering
Polymeric membranes for liquid separation
Academic Program: Environmental Science and Engineering
An iPSCs-based approach to model Type Two Diabetes in-vitro
Academic Program: BioScience
Anaerobic membrane bioreactor as a decentralized municipal wastewater treatment technology
Academic Program: Environmental Science and Engineering
Screening for Carotenoid-Derived Signaling Molecules
Academic Program: BioScience
Protein Synthetic Biology
Academic Program: BioScience
Structural Landscape of Genetic Diseases
Academic Program: BioScience
Structural Biology of Immune Signalling
Academic Program: BioScience
Simultaneous Communications and Localization Low Data Rate Low Cost Sensing Systems
Academic Program: Electrical Engineering
GNSS attitude determination and precise positioning
Academic Program: Electrical Engineering
Cutting-edge red light- emitting diodes by nitride semiconductors
Academic Program: Electrical Engineering
Making ML-based Networked Systems more Trustworthy
Academic Program: Computer Science
High-efficiency AI and ML distributed systems at Big-Learning scales
Academic Program: Computer Science
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