Education
Courses
2024/2025
- Tensor networks for green AI and signal processing | EE4750
- Filtering & Identification | SC42025
- Applied Convex Optimization | EE4530
- Systeem- en Regeltechniek | WB3240
2023/2024
- Tensor networks for green AI and signal processing | EE4750
- Filtering & Identification | SC42025
- Signal Processing | EE2S31
- Applied Convex Optimization | EE4530
- Systeem- en Regeltechniek | WB3240
2022/2023
- Tensor networks for green AI and signal processing | EE4750
- Filtering & Identification | SC42025
- Signal Processing | EE2S31
- Applied Convex Optimization | EE4530
- Systeem- en Regeltechniek | WB3240
2021/2022
- Filtering & Identification | SC42025
- Signal Processing | EE2S31
- Applied Convex Optimization | EE4530
- Systeem- en Regeltechniek | WB3240
2020/2021
- Filtering & Identification | SC42025
- Signal Processing | EE2S31
- Applied Convex Optimization | EE4530
- Systeem- en Regeltechniek | WB3240
2019/2020
- Filtering & Identification | SC42025
- Signal Processing | EE2S31
- Applied Convex Optimization | EE4530
- Systeem- en Regeltechniek | WB3240
Master projects
Openings
Master thesis project openings related to tensor-based biomedical signal processing will be posted at the website of B. Hunyadi at the Circuits and Systems group.
Ongoing
- EEG signal processing for Biomarkers From Auditory Event-Related Potentials, B. Hunyadi, Joos Vrijdag (2023/2024)
- Automated sleep staging using a smartwatch, B. Hunyadi, Lieke Roelofs (2023/2024)
- Energy-efficient seizure detection for wearable EEG, B. Hunyadi, Beatriz Lafuente Alcazar (2023/2024)
- compressed sensing of multi-dimensional data with tensors, K. Batselier, Aron Bevelander (2023/2024)
- Online learning of tensor-based kernel machines, K. Batselier, Daniel Salgado Varela (2023/2024)
- tensor-based Green AI for Robotics, K. Batselier, Demi Breen (2023/2024)
- tensor compressed models for efficient vision in robotics tasks, K. Batselier, Christian Vorage (2023/2024)
- Tensor based kernel machines for EEG classification, K. Batselier, Mees van Dijk (2023/2024)
- Contactless Vital Parameter Estimation, B. Hunyadi, Cheremy Pongajow (2022/2023)
Finished
- Uncertainty quantification for tensor network constrained kernel machines, K. Batselier, Rutger Smeenk (2023/2024)
- Nonnegative Robust PCA for Background and Foreground Image Decomposition, K. Batselier, Chenyang Ling (2019/2020)
- Recursive Tensor Network Bayesian Learning of Large-Scale LS-SVMs, K. Batselier, Maximilian Lucassen (2019/2020)
- Tensor Network B-splines for high-dimensional function approximation, K. Batselier, Ridvan Karagoz (2019/2020)
- Investigating brain function and anatomy through ICA-based functional ultrasound imaging, B. Hunyadi, Mado Ntekouli (2019/2020)
- Batch Bayesian Learning of Large-Scale LS-SVMs Based on Low-rank Tensor Networks, K. Batselier, Chenxu Wang (2020/2021)
- Non-Linear Bayesian System Identification of Cortical Responses Using Volterra Series, K. Batselier, Mike de Pont (2020/2021)
- Tensor-Networked Square-Root Kalman Filter for Online Video Completion, K. Batselier, Pieter van Klaveren (2020/2021)
- Decomposition, K. Batselier, Bram van Koppen (2021/2022)
- Symmetric Canonical Polyadic Decomposition And Gauss-Newton Optimizer For Nonlinear Volterra System Identification, K. Batselier, Zhehan Li (2021/2022)
- Analyzing Functional Ultrasound Images of the Brain Using Tensor Decompositions, B. Hunyadi, Arda Kaygan (2021/2022)
- Investigation of focal epilepsy using grapgh signal processing, B. Hunyadi, Gaia Zin (2021/2022)
- Differentiating Task-Based Functional Ultrasound Signals via Data-Driven Decompositions, B. Hunyadi, Maarten Enthoven (2021/2022)
- Graph Regularized Tensor Decomposition for Recommender Systems, K. Batselier, Rohan Chandrashekar (2022/2023)
- Compression of the embedding layer in an LSTM model using tensor train decomposition for NLP, K. Batselier, Aravind Jonnalagadda (2022/2023)
- All-at-once optimization for kernel machines with canonical polyadic decompositions, K. Batselier, Ewoud van Mourik (2022/2023)
- Tensor-based independent component analysis, K. Batselier, Pierre Antoine Denarie (2022/2023)
- Analyzing dynamic functional connectivity using state-space models on mice fUS data, B. Hunyadi, Ruben Wijnands (2022/2023)
- Frequency-domain estimation of the fUS hemodynamic response, B. Hunyadi, Yitong Tao (2022/2023)
- IMU-based adaptive filtering for movement artifact removal from ecg recorded with a single lead wearable device, B. Hunyadi, Cesar Cornejo Ramirez (2022/2023)
- Energy-efficient seizure detection for wearable EEG, B. Hunyadi, Xiaoning Shi (2022/2023)
- Machine Learning of Ultrasound Data: Cardiovascular Parameters Detection Using Carotid Artery Measurements, B. Hunyadi, Zhuangzhuang Yu (2022/2023)
- Comparative analysis of clutter filtering techniques on freehand micro-Doppler ultrasound imaging, B. Hunyadi, Xuan Gao (2022/2023)
- Using Tensor Decompositions To Obtain Biomarkers From Auditory Event-Related Potentials, B. Hunyadi, Kenneth Stunnenberg (2022/2023)