CURRENT TEAM MEMBERS

Aishani Mazumder | Post-Doc Fellow

Aishani Mazumder has expertise in cleanroom fabrication and low-dimensional optoelectronic and memory devices. Since joining NanoComputing Lab, her research is focused on 2D material device fabrication for neuromorphic computing. She obtained the PhD degree from the Royal Melbourne Institute of Technology (RMIT) in May 2024.

Simanta Lahkar | Post-Doc Fellow

Simanta Lahkar is working on atomistic and device modeling and simulations for phase-change materials-based neuromorphic computing implementation within the framework of the Horizon EU PHASTRAC project. Prior to this he was an Early Career Fellow at the Indian Institute of Technology – Gandhinagar, India. He completed his Ph.D. in Materials Science and Engineering from Shanghai Jiao Tong University, China. He received his M.Sc. in Physics and B.E. in Mechanical Engineering from BITS Pilani, India

Antoine Honet | Guest Researcher

Antoine Honet is a guest researcher in our group at TU/e. He received his Bachelor’s Degree in Physics from the University of Namur in Belgium, followed by a Master’s Degree in Physics from the Université Libre de Bruxelles (ULB) in Belgium. During his Ph.D. at the University of Namur, Antoine studied electronic correlation effects using semi-empirical model Hamiltonian’s methods. Antoine’s research focus is on modelling electronic properties of novel materials using density functional theory simulations.

Filip Sabo | Ph.D. Student

Filip Sabo is a Ph.D. student at the Eindhoven University of Technology, Netherlands. He received his Bachelor of Science degree in Physics and his Master of Science degree in Computational Science at the University of Vienna, Austria. His PhD research focuses on the machine learning algorithms for deep oscillatory neural networks and neuromorphic computing in the framework of Horizon EU PHASTRAC project.

Hyunwook Kim | Ph.D. Student

Hyun Wook Kim is a Ph.D. student in the NanoComputing Lab at Eindhoven University of Technology, Netherlands. He received his Master of Science degree in NanoScience at the Kyungpook National University (KNU), South Korea.  He has expertise on semiconductor device fabrication and computing with coupled oscillators. His PhD research focuses on the design fabrication and circuit implementation for the sense to compute paradigm based on coupled oscillatory neural networks in the framework of the NWO AI-on-ONN project. 

Federico Sbravati | Ph.D. Student

Federico Sbravati is a PhD candidate at the NanoComputing Lab, Electrical Engineering Department at TU/e. Prior to joining TU/e, he worked as an engineer at Azcom Technology, Milan, Italy. He obtained a Bachelor’s and Master’s degree in Engineering Physics at the Politecnico di Milano, Italy in 2018 and 2022, respectively. Since joining NanoComputing Lab, he is conducting research on computational physics for oscillatory neural networks in the framework of the ERC Consolidating Grant, THERMODON project.

Jelle Verest | Ph.D. Student

Jelle Verest is a PhD candidate at the NanoComputing Lab, Electrical Engineering Department at TU/e. He obtained a Bachelor’s and Master’s degree in Electrical Engineering at the Eindhoven University of Technology in 2021 and 2024, respectively. Since joining NanoComputing Lab, he is conducting research on ASIC implementations of oscillatory neural networks in the framework of the ERC Consolidating Grant, THERMODON project.

Bram Haverkort | Ph.D. Student

Bram Haverkot is a PhD candidate at the NanoComputing Lab, Electrical Engineering Department at TU/e. He obtained a Bachelor’s and Master’s degree in Electrical Engineering at the Eindhoven University of Technology in 2021 and 2024, respectively. Since joining NanoComputing Lab, he is conducting research on large scale digital implementations of oscillatory neural networks in the framework of the NWO AI-on-ONN project.

Merlijn van Duijn | Master Student

Merlijn van Duijn is currently an Electrical Engineering Master’s student specializing in Electronic Systems at the Technical University of Eindhoven. She also earned her Bachelor’s degree in Electrical Engineering from the Technical University of Eindhoven. Immersed in her Master’s program, Merlijn is actively conducting research within the framework of the Horizon EU PHASTRAC project. Her focus is on comparing oscillatory neural networks (ONNs) and spiking neural networks (SNNs) running on a GPU.

Thomas van Bodegraven | Master Student

Thomas van Bodegraven is currently an Electrical Engineering Master’s student specializing in Integrated Circuits at the Technical University of Eindhoven. He also earned her Bachelor’s degree in Electrical Engineering from the Technical University of Eindhoven. Immersed in his Master’s program, Thomas is actively conducting research within the framework of the Horizon EU PHASTRAC project. His focus is on design and implementation of oscillatory neural networks (ONNs) with ReRAM devices as coupling elements in collaboration with IBM Research Zurich.

Nicolett Marton | Master Student

Nicolett Marton is currently an Electrical Engineering Master’s student specializing in Photonic Integration at the Technical University of Eindhoven. She also earned her Bachelor’s degree in Electrical Engineering from the Technical University of Eindhoven. Nikki is actively conducting research at the intersection of electronics and photonics. For her internship, she is investigating coupled oscillatory networks with hybrid electrical and photonic oscillators.

Feipeng Long | Master Student

Feipeng Long is currently an Electrical Engineering Master’s student specializing in Photonic Integration at the Technical University of Eindhoven. He earned his Bachelor’s degree in Electrical Engineering from the Harbin Institute of Technology. For his internship, he is investigating coupled oscillatory networks with photonic laser oscillators.

Fancheng Du | Master Student

Fancheng holds a double bachelor’s degree from the University of Edinburgh and the Nanjing University of Aeronautics and Astronautics. He is currently pursuing a Master’s in Electrical Engineering with a focus on Integrated Circuits at Eindhoven University of Technology. Since September 2023, Fancheng has joined our team, actively engaged in his Master’s degree internship and thesis projects. His primary focus is on analog circuit design and simulation parts of Oscillatory Neural Networks (ONNs) in the framework of Horizon EU PHASTRAC project.

Nil Dinc | Bachelor Student

Nil Dinç is a Bachelor’s student in Electrical Engineering at the Eindhoven University of Technology. For the past two years, she has been the chair of student team Serpentine, which is currently working on real-time classification of motor imagery signals with the use of AI to control a physical system . She is currently working on her Bachelor End Project that focuses on analyzing EEG signals through the implementation of Oscillatory Neural Networks in the framework of the Horizon EU PHASTRAC project.