Prof.dr.ir. A.W. Heemink
Prof.dr.ir. A.W. Heemink
Short CV:
Education
1974-1978 University of Twente, Applied Mathematics, Systems theory, B. Sc.
1978-1980 University of Twente, Applied Mathematics, Mathematical Physics, M.Sc.
1980-1986 University of Twente, Applied Mathematics, PhD degree
Employment history
1979-1981 University of Twente, Research assistent
1981-1990 Rijkswaterstaat, Researcher Applied Mathematics
1990-1993 Rijkswaterstaat, Head section Mathematical modelling
1990-1993 Delft University of Technology, Department of Applied Mathematics, part-time professor Applied Analysis
1993-present Delft University of Technology, Department of Applied Mathematics, full professor Applied Analysis
Research interest:
Large-scale systems, Data assimilation, inverse problems, Numerical schemes for stochastic differential equations
Expertise
Publicaties
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2023
Design and Implementation of a Low-Cost Air Quality Network for the Aburra Valley Surrounding Mountains
Pollutants
Andrés Yarce Botero / Santiago Lopez Restrepo / Juan Sebastian Rodriguez / Diego Valle / Julian Galvez-Serna / Elena Montilla / Francisco Botero / Bas Henzing / Arnold Heemink / More Authors -
2023
Improving Air Pollution Modelling in Complex Terrain with a Coupled WRF–LOTOS–EUROS Approach
A Case Study in Aburrá Valley, Colombia
Jhon E. Hinestroza-Ramirez / Santiago Lopez-Restrepo / A. Yarce Botero / Arjo Segers / Angela Maria Rendon-Perez / Santiago Isaza-Cadavid / A.W. Heemink / Olga Lucia Quintero -
2022
A Knowledge-Aided Robust Ensemble Kalman Filter Algorithm for Non-Linear and Non-Gaussian Large Systems
Santiago Lopez Restrepo / Andres Yarce / Nicolás Pinel / O. L. Quintero / Arjo Segers / A.W. Heemink
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2022
Prediction of the Magnetic State of Ferromagnetic Objects by Assimilating Data into a Physical Model
Aad Vijn / Bart Jan Peet / Marianne Schaaphok / Eugène Lepelaars / Arnold Heemink
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2022
Surrogate-assisted inversion for large-scale history matching
Comparative study between projection-based reduced-order modeling and deep neural network
Cong Xiao / Hai-Xiang Lin / Olwijn Leeuwenburgh / Arnold Heemink -