César Quilodrán-Casas

About César Quilodrán-Casas

César Quilodrán-Casas, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Machine Learning, Reduced Order Models, Data Assimilation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data: An application to wave energy converters

Med-unic: Unifying cross-lingual medical vision-language pre-training by diminishing bias

Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK

Enhancing Microdroplet Image Analysis with Deep Learning

Forecasting tropical cyclones with cascaded diffusion models

A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation

Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review

A data-driven adversarial machine learning for 3D surrogates of unstructured computational fluid dynamic simulations

César Quilodrán-Casas Information

University

Position

Data Science Institute

Citations(all)

410

Citations(since 2020)

374

Cited By

86

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

13

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

César Quilodrán-Casas Skills & Research Interests

Machine Learning

Reduced Order Models

Data Assimilation

Top articles of César Quilodrán-Casas

Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data: An application to wave energy converters

Environmental Modelling & Software

2024/5/2

Med-unic: Unifying cross-lingual medical vision-language pre-training by diminishing bias

2023/8/31

Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK

arXiv preprint arXiv:2401.07604

2024/1/15

Enhancing Microdroplet Image Analysis with Deep Learning

Micromachines

2023/10/22

Forecasting tropical cyclones with cascaded diffusion models

arXiv preprint arXiv:2310.01690

2023/10/2

A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation

arXiv preprint arXiv:2307.01157

2023/7/3

César Quilodrán Casas
César Quilodrán Casas

H-Index: 3

Rossella Arcucci
Rossella Arcucci

H-Index: 11

Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review

2023/5/31

A data-driven adversarial machine learning for 3D surrogates of unstructured computational fluid dynamic simulations

Physica A: Statistical Mechanics and its Applications

2023/4/1

An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics

Annals of nuclear energy

2022/12/15

Parameter flexible wildfire prediction using machine learning techniques: Forward and inverse modelling

Remote Sensing

2022/7/5

Reduced order surrogate modelling and Latent Assimilation for dynamical systems

2022/6/15

Data learning: Integrating data assimilation and machine learning

Journal of Computational Science

2021/12/23

Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic

Neurocomputing

2022/1/22

Forecasting emissions through Kaya identity using Neural Ordinary Differential Equations

arXiv preprint arXiv:2201.02433

2022/1/7

Surfactant-laden droplet size prediction in a flow-focusing microchannel: a data-driven approach

Lab on a Chip

2022

ENHANCING CFD SIMULATIONS OF COVID-19 DIFFUSION BY COUGHING AND SNEEZING USING DATA ASSIMILATION

High Performance Computing on CRESCO Infrastructure: research activity and results 2020

2021/12

A general purpose workflow for creating and forecasting geophysical model surrogates for data assimilation using adversarial training

AGU Fall Meeting Abstracts

2021/12

Merging Real Images with Physics Simulations via Data Assimilation

2021/8/30

Quantifying the temporal variation of the contribution of fine sediment sources to sediment yields from Chilean forested catchments during harvesting operations

Revista Bosque

2021/7/30

Latent GAN: using a latent space-based GAN for rapid forecasting of CFD models

2021/6/9

César Quilodrán Casas
César Quilodrán Casas

H-Index: 3

Rossella Arcucci
Rossella Arcucci

H-Index: 11

See List of Professors in César Quilodrán-Casas University(Imperial College London)

Co-Authors

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