Teaching Activities
2022-now Responsibe Lecturer of Neuro Computing (5XIF0), I am teaching together with dr. Roel Jordans and dr. Kouw Wouter a new course for the 3rd year bachelor students on Neuro Computation, in the stream of NeuroEngineering.
2022-now Co-Lecturer of Intelligent Architectures (5LIL0), I am responsible for teaching neural networks hardware accelerators.
2022-now Supervision ∼10 MSc students (thesis), Electronic System Group, Eindhoven University of Technology
2021-2022 Lecturer of Intelligent Architectures (5LIL0), I have provided one week of lectures on neuromorphic computing and engineering.
2018-2022 Supervision 1 MSc students (thesis), Ultra-low-power Systems, IMEC, The Netherands & Eindhoven University of Technology & Twente University of Technology
2012-2013 Teaching Assistant, ∼ 30 students, Neuromorphic Engineering, Institute of Neuroinformatics, University of Zurich, CH
2011-2012 Teaching Assistant, ∼ 40 students, Analog Electronics, Analog Circuit Design, Swiss federal institute of technology (ETH), Zurich, CH
2011-2012 Teaching Assistant, ∼ 50 students, Physics Laboratory, Swiss federal institute of technology (ETH), Zurich, CH
PhD students
2024–now Yvonne Vullers SNS: Self-Healing Neuromorphic Systems, Eindhoven University of Technology.
2024–now Stefano Chiavazza NERD: Neuromorphic pERception framework for event-baseD radars, Eindhoven University of Technology.
2024–now Shimeng Ye SYNCH: Combining SYnthetic Biology & Neuromorphic Computing for CHemosensory perception, Eindhoven University of Technology.
2024–now Zhanbo Shen IMAGINE: In-material sensing, learning and computing, Eindhoven University of Technology.
2023–now Lorenzo Pes NL-ECO: Netherlands Initiative for Energy-Efficient Computing, co-supervision with prof. Sander Stuijk, Eindhoven University of Technology.
2022–now Sherif Eissa Efficient Deep Learning project, co-supervision with prof. Sander Stuijk, Eindhoven University of Technology.
2021–now Yuming He Implantable Neuromorphic Sensing Systems co-supervision with dr. Yao-Hong Liu, prof. Elisabetta Chicca, Groningen University.
PhD Alumni (graduated)
2018–2022 Dr. Yin Bojian, Ph.D. Efficient and Accurate Spiking Neural Networks in Efficient Deep Learning project, co-promotor with prof. Sander Bohté, Centrum Wiskunde & Informatica, prof. Henk Corporaal, Eindhoven University of Technology, NL.
Master Projects
2024 – Rick Groen
2024 – Jim Vermunt
2024 – Zhanbo Shen
2024 – Yvonne Vullers (Internship at the Italian Institute of Technology, Genova, Italy. co-supervised with Dr. C. Bartolozzi)
2023 – Nick Hamilton-James
2023 – Yiyun Xu
2023 – Lai Xunqin (Thesis at IMEC, KU Leuven)
2023 – Jorn de Vries
2023 – Edgar Leonard Marvin Luhulima
2022 – Leon Frederik Muller (IEEE publication)
2022 – Shenqi Wang
2022 – Roy Meijer
2022 – Yicheng Zhang
2021 – Anand Sankaran (ACM publication)
2019 – Guido Adriaans (ACM publication)
Bachelor Projects
2024 – Bas van der Schoot
2024 – Mauricio Silvia Buendia
2023 – Stijn van Himste
2023 – Ilse Schuckman
2023 – Ryoga Matsuo