Highlighting the Talent Programma Grantees of TU Delft
Het Talentenprogramma is sinds de start in 2000 een van de meest prestigieuze subsidies van de Nederlandse Organisatie voor Onderzoek. Het biedt onderzoekers van alle carrièreniveaus de kans om vrij en creatief onderzoek te doen.
De "Veni, Vidi en Vici" zijn een kenmerk van het Nederlandse landschap van onderzoeksfinanciering. Bedoeld om getalenteerde en creatieve onderzoekers te stimuleren. Door jonge onderzoekers geld te geven om hun eerste stappen in hun onderzoekscarrière te zetten (Veni), meer ervaren onderzoekers te helpen hun eigen onderzoeksgroep op te zetten (Vidi) of senior onderzoekers de kans te geven hun onderzoekslijn uit te breiden (Vici). Het Talentprogramma is uitgegroeid tot een graadmeter voor kwaliteit in de Nederlandse onderzoeksgemeenschap.
Onderzoekers van de TU Delft hebben op alle niveaus van het Talentprogramma met succes subsidie verworven. Dit is natuurlijk te danken aan het ambitieuze en vooruitstrevende karakter van deze onderzoekers. Met deze lijst willen we al deze onderzoekers in het zonnetje zetten en hun prestaties vieren.
2022
Veni
Aimée Sakes
Vibrating through the Vasculature (ViVa)
AES
Aleksandra Lekic
SAFE-GRID: Smart and Flexible Control for a Power Electronics-based Electrical Grid
AES
Anna Lukina
Explainable Monitoring
ENW
Artur Schweidtmann
Designing sustainable chemical processes with artificial intelligence
AES
Charlotte Frenkel
AdaptEdge – Brain-inspired smart devices that can continuously learn from their environment
AES
Cosimo della Santina
ROSES: Dynamic Robotic Manipulation of Slender and Soft objects
AES
Delphine De Tavernier
Morphing wind turbine blades - a way to enhance the energy production in turbulent environments
AES
Francesca De Domenico
Unveil with Laser Diagnostics (LITGS and LIF) the local NOx and Flashback physics of H2 flames (UNL2OCK H2)
AES
Frits de Prenter
Simulate the interaction between flows and surfaces in computer models
AES
Havva Yoldas
Simulate the interaction between flows and surfaces in computer models
ENW
Heng Wu
Exploring fundamental mechanism of nonreciprocal superconductivity using 2D heterostructures
ENW
Mathias Peirlinck
How tissue structure makes the heart (skip a) beat
AES
Rihan Hai
Understanding Implicit Dataset Relationships for Machine Learning
ENW
Roberto Merino Martinez
Listen to the future: Enabling sustainable aircraft technologies by minimizing their noise annoyance
AES
Salua Hamaza
Aerial Robots in a Tangible World: Drones with the Sense of Touch Act upon Their Surroundings
AES
Sid Kumar
Decoding process-structure-property maps of metals by multiscale multi-fidelity graph learning
AES
Yoeri Dijkstra
Understanding three-dimensional salt intrusion under climate change and human interventions
ENW
2022
Vidi
Carlas Smith
Fast and precise: a new microscope to visualize deep inside the cell
AES
David Vermaas
Towards green fuels with nano-sized thin layers
AES
Jun Wu
SpaceTimeOpt: Space-time optimization for additive manufacturing
AES
Manuel Gnann
Mathematics of interface motion in fluid mechanics
Science
Marianne Bauer
Sense, Decide, Develop: how to maintain accuracy in gene regulation and development
Science
Maz Ali
Unlocking non-reciprocal superconductivity using quantum materials
Science
Remco Hartkamp
Let’s put CO2 to a good use
AES
Wouter Westerveld
Light to sense ultrasound in medical imaging
AES
2021
Veni
Kirsten Kirchner
Towards realistic models for spatiotemporal data
Science
Carolina Urzua Torres
New approach to numerical methods for Maxwell’s equations
Science
Koen Bastiaans
Understanding emergent quantum states atom-by-atom
Science
Eliska Greplová
Engineered topological quantum networks
Science
Kaveh Lahabi
Smart microscopes to see the quantum world
Science
Maximilian Russ
Sensing local properties for novel spin-qubit operations
Science
Yaojia Wang
Investigating unconventional superconductivity in layered, magnetic, quantum materials
Science
Bieke Cattoor
The Garden Complex
SSH
Janna van Grunsven
Mattering Minds: Understanding the Ethical Lives of Technologically Embedded Beings with 4E
SSH
Jochen Cremer
Physics-informed AI to avoid power blackouts in the energy transition
AES
Sijun Du
Sustainable and Miniature Power Solutions for Future Internet-of-Things
AES
Robin de Kruijff
The ‘Plug-and-Play Radionuclide Generator’: Nanoparticle-Based Recyclable Target Materials
AES
Kim Mare Lompe
Nanoplastic – Macroproblem? Unraveling removal mechanisms during water treatment
AES
Stefano Muraro
Peatland: living on a gassy soil. Revealing the role of gas on the behaviour of peats
AES
Tomas Sinnige
Regenerative propellers: sustainable and quiet electric propeller aircraft with in-flight energy recovery
AES
Yasemin Vardar
From signal-based modeling to sensation-based modeling
AES
2021
Vidi
Asterios Katsifodimos
Democratizing Cloud Application Programming
AES
A. Viré
Physics-informed data-driven modelling and control of floating wind turbines
AES
M.J. Heiligers
Space duster on sunlight
AES
K. Stankova
Game Theory Empowered by Data Science and Control Theory to Improve Metastatic Cancer Treatment
Science
K. Batselier
Sustainable learning of Artificial Intelligence from large-scale noisy data
Science
M. Wiertlewski
Robots with a gentle touch
AES
S. Conesa-Boj
Moire materials from one-dimensional van der Waals heterostructures
Science
J.W. Haverkort
Hydrogen Bubbles Quantified
AES
2021
Vici
Gary Steele
Quantum gets heavy
Science
Mark Veraar
Mathematical foundations for equations with noise
Science