Young scientists

Dr. Celestine Lawrence (2020-2023)
Theory of neuromorphic computing – This project has received funding from the EU Horizon 2020 Research and Innovation programme under the grant agreement (Grant agreement No. 871371).
Computing in Cognitive Materials

Dr. Cynthia Quinteros (2018-2020)
Exploration of ferroic domain walls assemblies in BiFeO3 for neuromorphic implementations
Nanostructures of Functional Oxides

Dr. Pavan Nukala (2018-2020)
Multiscale investigations on Si-integrable Ferroelectric Hafnia-Zirconia systems (FERHAZ) – This project has received funding from the EU’s Horizon 2020 programme under the Marie Skłodowska-Curie Actions Individual Fellowships (MSCA-IF-2017) (Grant agreement No. 794954)
Nanostructures of Functional Oxides

Sanne Berg (2018-2021)
Self-assembled networks of functional metal oxides for neuromorphic materials
Nanostructures of Functional Oxides

Silvia Damerio (2018-2021)
Thin films of modulated multiferroic oxides as adaptable systems for cognitive computing
Nanostructures of Functional Oxides

Philipp Klein (2018-2022)
Learning in neuromorphic systems
Bio-inspired Circuits and Systems - external PhD student (employed at Bielefeld University, Germany)

Alexander Kugele (2018-2022)
Event‐based Vision for Automated Driving
Bio-inspired Circuits and Systems - external PhD student (employed at Bielefeld University, Germany)

Mian Li (2020-2024)
Morphological Image Analysis of Conduction Maps – This project has received funding from the EU’s Horizon 2020 programme under the Marie Skłodowska-Curie grant agreement (Grant agreement No. 861153)
Scientific Visualization and Computer Graphics

Michele Mastella (2020-2024)
Neuromorphic Embedded Processing for Touch – This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 813713)
Bio-inspired Circuits and Systems

Guillaume Pourcel (2020-2024)
Theory of neuromorphic computing – This project has received funding from the EU Horizon 2020 Research and Innovation programme under the grant agreement (Grant agreement No. 871371).
Computing in Cognitive Materials

Ole Richter (2020-2024)
Neuromorphic Integrated Systems for network stability and homeostasis
Bio-inspired Circuits and Systems

Jan Rieck (2020-2024)
Memristor networks from self-assembled domain walls in oxides – This project has received funding from the EU’s Horizon 2020 programme under the Marie Skłodowska-Curie grant agreement (Grant agreement No. 861153)
Nanostructures of Functional Oxides

Mart Salverda (2018-2019)
Neuromorphic phenomena in thin film perovskite oxides
Nanostructures of Functional Oxides

Thorben Schoepe (2018-2022)
Neuromorphic Sensorimotor Systems
Bio-inspired Circuits and Systems - external PhD student (employed at Bielefeld University, Germany)

Willian Soares Girão (2020-2023)
Neuromorphic Circuits for Novel Devices – This project has received funding from the EU’s Horizon 2020 programme under the Marie Skłodowska-Curie grant agreement (Grant agreement No 861153)
Bio-inspired Circuits and Systems

Wytse Talsma (2018-2020)
Neuroplasticity in neural networks utilising semiconducting single-walled carbon nanotube inks
Photophysics and Opto-Electronics

Mart Salverda (2015-2019)
Neuromorphic phenomena in thin film perovskite oxides
Nanostructures of Functional Oxides group

Wytse Talsma (2016-2020)
Neuroplasticity in neural networks utilising semiconducting single-walled carbon nanotube inks
Photophysics and Opto-Electronics group

Sanne Berg (2018-2022)
Self-assembled networks of functional metal oxides for neuromorphic materials
Nanostructures of Functional Oxides group

Silvia Damerio (2018-2021)
Thin films of modulated multiferroic oxides as adaptable systems for cognitive computing
Nanostructures of Functional Oxides group

Philipp Klein (2018-2022)
Learning in neuromorphic systems
Bio-inspired Circuits and Systems group - external PhD student (employed at Bielefeld University, Germany)

Alexander Kugele (2018-2022)
Event‐based vision for automated driving
Bio-inspired Circuits and Systems group - external PhD student (employed at Bielefeld University, Germany)

Dr. Pavan Nukala (2018-2020)
Multiscale investigations on Si-integrable Ferroelectric Hafnia-Zirconia systems (FERHAZ) – This project has received funding from the EU Horizon 2020 programme under Marie Skłodowska-Curie Actions Individual Fellowship grant agreement no. 794954
Nanostructures of Functional Oxides group

Thorben Schoepe (2018-2022)
Neuromorphic sensorimotor systems
Bio-inspired Circuits and Systems  group - external PhD student (employed at Bielefeld University, Germany)

Dr. Cynthia Quinteros (2018-2020)
Exploration of ferroic domain walls assemblies in BiFeO3 for neuromorphic implementations
Nanostructures of Functional Oxides group

Dr. Celestine Lawrence (2020-2023)
Theory of neuromorphic computing – This project has received funding from the EU Horizon 2020 Research and Innovation programme under grant agreement no. 871371
Computing in Cognitive Materials group

Mian Li (2020-2024)
Morphological image analysis of conduction maps – This project has received funding from the EU Horizon 2020 programme under Marie Skłodowska-Curie grant agreement no. 861153
Scientific Visualization and Computer Graphics group

Michele Mastella (2020-2024)
Neuromorphic embedded processing for touch – This project has received funding from the European Research Council (ERC) under grant agreement no. 813713
Bio-inspired Circuits and Systems group

Guillaume Pourcel (2020-2024)
Theory of neuromorphic computing – This project has received funding from the EU Horizon 2020 Research and Innovation programme under grant agreement no. 871371
Computing in Cognitive Materials group

Ole Richter (2020-2024)
Neuromorphic integrated systems for network stability and homeostasis
Bio-inspired Circuits and Systems group

Jan Rieck (2020-2024)
Memristor networks from self-assembled domain walls in oxides – This project has received funding from the EU Horizon 2020 programme under Marie Skłodowska-Curie grant agreement no. 861153
Nanostructures of Functional Oxides group

Willian Soares Girão (2020-2024)
Neuromorphic circuits for novel devices – This project has received funding from the EU Horizon 2020 programme under Marie Skłodowska-Curie grant agreement no. 861153
Bio-inspired Circuits and Systems group

Bhavana Ballal (2021-2025)
Design and development of novel CMOS hybrid circuits for neuromorphic applications
Bio-inspired Circuits and Systems group

Davide Cipollini (2021-2025)
Adaptive random non-linear mappings for neural computing in ferroelastic films – This project has received funding from the EU Horizon 2020 programme under Marie Skłodowska-Curie grant agreement no. 861153
Artificial Intelligence group

Madison Cotteret (2021-2024)
Neuromorphic memristive VLSI architectures for cognition
Bio-inspired Circuits and Systems group

Maxim Fabre (2021-2025)
On-chip training on analog circuits with memristive devices and bio-plausible learning algorithms
Bio-inspired Circuits and Systems group

Hugh Greatorex (2021-2025)
Memristive time difference encoder
Bio-inspired Circuits and Systems group

Defended theses (content will follow soon)

Manvi Agarwal (supervisor: Lambert Schomaker & second supervisor: Tamalika Banerjee)
Credit assignment for surrogate-gradient learning rules in spiking neural networks
Artificial Intelligence

Eric Brand (supervisor: Beatriz Noheda)
Ferroelectric field effect transistors (FeFETs) for memresistive applications
Nanostructures of Functional Oxides

Swaraj Dalmia (supervisor: Lambert Schomaker)
Constraint-Based Circuit Design Using Generative Adversarial Networks
Artificial Intelligence

Pilani-Goa – Exchange student BITS, India (supervisor: Tamalika Banerjee)
Nb doped SrTiO3 memristors as prospective devices for neuromorphic architectures
Spintronics of Functional Materials

L. de Jonge (supervisor: Christian Hirsch)
Percolation in reinforcement-based models for synaptic plasticity
Topological Data Analysis and Data Science

Miina Leiviska (supervisor: Tamalika Banerjee)
Investigating the magnetic properties of SrRuO3 in complex oxide heterostructures for spin-orbit torque applications
Spintronics of Functional Materials

Avinash Pathapati (supervisor: Lambert Schomaker & second supervisor: Alexander Balatsky (Nordita))
Bandgap prediction for molecular crystals using Geometric Deep learning
Artificial Intelligence

Daan Sijbring (supervisor: Jelmer Borst)
Fine-Tuning Input Selection while Learning Associative Memories in a Spiking Neural Network
Artificial Intelligence

Vasiliki Vamvaka (supervisor: Bart Besselink)
Synchronization in electrical circuits with memristive
Engineering Mathematics

Jie Yan (supervisor: Lambert Schomaker/ Yulia Sandamirskaya (ETH Zurich))
Path Integration and Map Learning with a Spiking Neural Network for Neuromorphic Computing
Artificial Intelligence

Bachelor’s students involved in CogniGron:

Loran Knol (supervisor: Jelmer Borst)
Dynamic coding in a large-scale, functional, spiking-neuron model
Artificial Intelligence

Arseniy Nikonov (supervisor: Jelmer Borst & second supervisor: Niels Taatgen)
Simulating Prescribed Error Sensitivity learning using memristors
Artificial Intelligence

Chiel Wijs (supervisor: Jelmer Borst)
Dynamic coding in a neural model of activity-silent working memory
Artificial Intelligence