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Jorge Goncalves

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Research Professor

University of Cambridge

United Kingdom

Research Interests

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Professors in United Kingdom

Recent Grants

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Patient-specific dynamical modeling and optimization of deep brain stimulation

Open Date: 2021-06-01

Close Date: 2024-05-01

Grant: Close

Short, mid-term and exit strategies predictions of the Covid-19 epidemic in Luxembourg

Open Date: 2020-05-01

Close Date: 2020-10-01

Grant: Close

Synchronization of biological networks

Open Date: 2020-01-06

Close Date:

Grant: Close

Predicting the progression of Parkinson’s disease

Open Date: 2017-01-01

Close Date: 2019-12-01

Grant: Close

Critical transitions in complex systems: from theory to applications

Open Date: 2016-01-11

Close Date: 2023-04-30

Articles (19)

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2022

Collaborators (13)

Bernadette van Wijk

Vrije Universiteit

NETHERLANDS

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Feng Q He

Luxembourg Institute of Health

LUXEMBOURG

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Isabel Haasler

KTH Royal Institute of Technology

SWEDEN

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Per Hammarstrom

Professor

Linköping University

SWEDEN

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Andreas Husch

LUXEMBOURG

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Rene Peter Bremm

Senior Scientist

Luxembourg Institute of Health

LUXEMBOURG

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Wim Ammerlaan

Head of Biorefinery

Luxembourg Institute of Health

LUXEMBOURG

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Giulia Giordano

Full Professor

University of Trento

ITALY

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Guohua Wan

Professor

Shanghai Jiao Tong University

CHINA

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Christos Ganos

Director

GERMANY

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Mikkel Petersen

Aarhus University

DENMARK

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Fumin Zhang

Chair Professor

The Hong Kong University of Science and Technology

HONG KONG

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Johan Markdahl

LUXEMBOURG

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Jorge Goncalves

Research Interests

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Recent Grants

Articles (19)

Machine learning differentiation of Parkinson’s disease and normal pressure hydrocephalus using wearable sensors capturing gait impairments

Publisher Correction: Networked SIRS model with Kalman filter state estimation for epidemic monitoring in Europe

Networked SIRS model with Kalman filter state estimation for epidemic monitoring in Europe

A transformer-based model for carbon price forecasting with self-decomposition

Dynamic gene regulatory network inference from single-cell data using optimal transport

Prediction of STN-DBS outcome in Parkinson’s disease using machine learning

Unlocking gene regulatory networks for crop resilience and sustainable agriculture

Polarization of Multi-agent Gradient Flows Over Manifolds With Application to Opinion Dynamics

Towards automatic home-based sleep apnea estimation using deep learning

SARS-CoV-2 infection as a cause of neurodegeneration.

Multiomics approaches disclose very-early molecular and cellular switches during insect-venom allergen-specific immunotherapy: an observational study

Early warning of atrial fibrillation using deep learning

Inferring upstream regulatory genes of FOXP3 in human regulatory T cells from time-series transcriptomic data

A Sampling Theorem for Exact Identification of Continuous-Time Nonlinear Dynamical Systems

Machine discovery of partial differential equations from spatiotemporal data: A sparse Bayesian learning framework

Boolean Internal Structure Reconstruction from Collapsed Small-Scale Networks

Riemannian Polarization of Multi-Agent Gradient Flows

Systematic analysis and optimization of early warning signals for critical transitions using distribution data

DBSegment: Fast and robust segmentation of deep brain structures considering domain generalization

Collaborators (13)

Bernadette van Wijk

Feng Q He

Isabel Haasler

Per Hammarstrom

Andreas Husch

Rene Peter Bremm

Wim Ammerlaan

Giulia Giordano

Guohua Wan

Christos Ganos

Mikkel Petersen

Fumin Zhang

Johan Markdahl

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