Projects per year
Personal profile
Research profile
Tristan Stevens is a researcher in the Signal Processing Systems group of the Electrical Engineering department at Eindhoven University of Technology (TU/e). His work lies at the intersection of probabilistic machine learning and signal processing, with a particular focus on deep generative models and reinforcement learning. Currently, he develops algorithms for applications ranging from ultrasound imaging and radar to lithography and metrology.
Academic background
Tristan Stevens studied Electrical Engineering at Eindhoven University of Technology (TU/e), where he obtained his MSc degree in 2021 and his PhD degree in 2026 in the Signal Processing Systems group, both awarded cum laude.
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 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Finished
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TKI-HTSM/21.0219/TKI2112P11 PISANO SPS: Perioperative Innovations, Sleep Apnea and Newborn Opportunities
van der Hagen, D. (Project communication officer), Long, X. (Project member), Turco, S. (Project member), Varisco, G. (Project member), Peri, E. (Project member), Stevens, T. S. W. (Project member), Barbagini, A. (Project member), de Vries, T. (Project member), Kuhn, J. (Project member), Schiphorst, L. (Project member), Mischi, M. (Project Manager), Bergmans, J. W. M. (Project member), Belt, H. J. W. (Project member), Woerlee, P. H. (Project member), Wulterkens, B. M. (Project member), Bakkes, T. H. G. F. (Project member), Vullings, R. (Project member), van der Hout-van der Jagt, M. B. (Project member) & Mast, K. (Project member)
1/09/21 → 31/08/26
Project: Third tier
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Dehazing Ultrasound using Diffusion Models
Stevens, T. S. W. (Corresponding author), Meral, F. C., Yu, J., Apostolakis, I. Z., Robert, J.-L. & van Sloun, R. J. G., Oct 2024, In: IEEE Transactions on Medical Imaging. 43, 10, p. 3546-3558 13 p., 10423849.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile35 Link opens in a new tab Citations (Scopus)202 Downloads (Pure) -
Deep generative models for Bayesian inference on high-rate sensor data: applications in automotive radar and medical imaging
Stevens, T. S. W., Overdevest, J., Nolan, O., van Nierop, W. L., van Sloun, R. J. G. & Eldar, Y. C. (Corresponding author), 19 Jun 2025, In: Philosophical Transactions of the Royal Society of London, Series A: Mathematical, Physical and Engineering Sciences. 383, 2299, 18 p., 20240327.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)62 Downloads (Pure) -
Removing Structured Noise using Diffusion Models
Stevens, T. S. W., van Gorp, H., Meral, F. C., Shin, J., Yu, J., Robert, J.-L. & van Sloun, R. J. G., Mar 2025, In: Transactions on Machine Learning Research. 2025, 3, 20 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile8 Link opens in a new tab Citations (Scopus)8191 Downloads (Pure) -
Sequential Posterior Sampling with Diffusion Models
Stevens, T. S. W., Nolan, O., Robert, J.-L. & van Sloun, R. J. G., 7 Mar 2025, ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers, 5 p. 10889752Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile5 Link opens in a new tab Citations (Scopus)21 Downloads (Pure) -
Active Diffusion Subsampling
Nolan, O., Stevens, T. S. W., van Nierop, W. L. & van Sloun, R. J. G., Feb 2025, In: Transactions on Machine Learning Research. 2025, 02, 27 p., 3687.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus)79 Downloads (Pure)
Prizes
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Best Paper Published by IEEE-EMBS in 2023-24 (Runner-up)
Stevens, T. S. W. (Recipient), 31 Jan 2025
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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IEEE SBE Best Pitch Award (Runner-up)
Stevens, T. S. W. (Recipient), Mar 2024
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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IEEE SBE Best Poster Award
Stevens, T. S. W. (Recipient), Mar 2024
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Ultra-SR Challenge Award (Runner-up)
Stevens, T. S. W. (Recipient), 13 Oct 2022
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Courses
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Artificial intelligence for semiconductors
Stevens, T. S. W., Belt, H. J. W. & Kouw, W. 1/09/26 → 31/08/27
Course
Press/Media
Thesis
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AutoSeq: A Deep Reinforcement Learning Framework for High-Definition Intravascular Ultrasound
Stevens, T. S. W. (Author), van Sloun, R. J. G. (Supervisor 1), de Bruijn, F. (External coach) & Pekař, M. (External coach), 9 Sept 2021Student thesis: Master
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