Department of Microelectronics
Faculty of Electrical Engineering, Mathematics, and Computer Science

ir. S.E. Kotti

PhD student
Signal Processing Systems (SPS), Department of Microelectronics

Expertise: Array processing for radar and wireless acoustic sensors

Themes: Health and Wellbeing

Biography

Since Sep. 2021, Sofia Eirini-Kotti is a PhD student at TU Delft, working with dr. Borbála Hunyadi on the DAI Labs project "DeTAIL". Her thesis topic is on tensor-based source separation of functional ultrasound data.

Sofia received her MSc degree from TU Delft in 2018, and then worked at TNO, The Hague, in the Radar Technology department.

EE4750 Tensor networks for green AI and signal processing

Introduction to multilinear algebra, tensor decompositions, and their applications for green AI and biomedical signal processing

Delft Tensor AI Lab

Tensor-based AI methods for biomedical signals

  1. Core consistency diagnostic for the block term decomposition
    S.E. Kotti; B. Hunyadi;
    2026. Preprint version of a manuscript submitted to IEEE Transactions on Signal Processing. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible..
    document

  2. Extracting Hemodynamic Activity with Low-Rank Spatial Signatures in Functional Ultrasound Using Tensor Decompositions
    S.E. Kotti; B. Hunyadi;
    In 2024 32nd European Signal Processing Conference (EUSIPCO),
    Lyon (France), EURASIP, pp. 1347-1351, August 2024. DOI: 10.23919/EUSIPCO63174.2024.10714979
    document

  3. Modeling nonlinear evoked hemodynamic responses in functional ultrasound
    S. Kotti; A. Erol; B. Hunyadi;
    In 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW),
    Rhodes Island (Greece), IEEE, pp. 1-5, June 2023. DOI: 10.1109/ICASSPW59220.2023.10193541
    document

  4. Clock-Offset and Microphone Gain Mismatch Invariant Beamforming
    S.E. Kotti; R. Heusdens; R.C. Hendriks;
    In 29th European Signal Processing Conference (EUSIPCO 2020),
    Amsterdam (Netherlands), EURASIP, pp. 176-180, August 2020. DOI: 10.23919/Eusipco47968.2020.9287852
    document

BibTeX support

Last updated: 11 May 2026

Sofia-Eirini Kotti