Personal profile
Academic background
Maarten received his bachelor’s and master’s degrees in electrical engineering from the Eindhoven University of Technology (TU/e), in 2019 and 2022, respectively. He has been with NXP Semiconductors since 2022 and started as a PhD candidate at TU/e in 2024.
Research profile
Maarten Molendijk is a PhD candidate at the Integrated Circuits group. The main focus of his research is to employ machine learning to identify and correct analog impairments found in Analog-to-Digital Converters.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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Collaborations and top research areas from the last five years
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Shallow Neural Network-Based Error Compensation of a Non-Linear SAR ADC Sampling Stage
Molendijk, M., van Veldhoven, R., Young, A., Fattori, M. & Harpe, P., 2026, (Accepted/In press) In: IEEE Transactions on Circuits and Systems I: Regular Papers. XXResearch output: Contribution to journal › Article › Academic › peer-review
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BrainTTA: A 28.6 TOPS/W Compiler Programmable Transport Triggered NN SoC
Molendijk, M., de Putter, F., Gomony, M. D., Jaaskelainen, P. O. & Corporaal, H., 22 Dec 2023, 2023 IEEE International Conference on Computer Design (ICCD). Institute of Electrical and Electronics Engineers, p. 78-85 8 p. 10361002Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
5 Link opens in a new tab Citations (Scopus)11 Downloads (Pure) -
Low-and Mixed-Precision Inference Accelerators
Molendijk, M., de Putter, F. & Corporaal, H., 1 Oct 2023, Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Hardware Architectures. Pasricha, S. & Shafique, M. (eds.). Cham: Springer, p. 63-88 26 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
2 Link opens in a new tab Citations (Scopus)1 Downloads (Pure) -
Benchmarking the Epiphany Processor as a Reference Neuromorphic Architecture
Molendijk, M., Vadivel, K., Corradi, F., van Schaik, G.-J., Yousefzadeh, A. & Corporaal, H., Jun 2022, Industrial Artificial Intelligence Technologies and Applications . Vermesan, O. (ed.). River Publishers, p. 21-34 14 p. (River Publishers Series in Communications and Networking ).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Professional
Open AccessFile289 Downloads (Pure) -
BrainTTA: A 35 fJ/op Compiler Programmable Mixed-Precision Transport-Triggered NN SoC
Molendijk, M., de Putter, F., Gomony, M. D., Jääskeläinen, P. & Corporaal, H., 2022, In: arXiv. 2022, 7 p., 2211.11331.Research output: Contribution to journal › Article › Academic
Open AccessFile31 Downloads (Pure)
Thesis
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BrainTTA: A 56 fJ/op High-Level Programmable Mixed-Precision Transport-Triggered NN SoC
Molendijk, M. J. (Author), Gomony, M. D. (Supervisor 1), 4 Mar 2022Student thesis: Master
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