Geert Leus

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Assistant / Associate / “Antoni van Leeuwenhoek” Full Professor

Delft University of Technology

Netherlands

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About

Geert Leus is an “Antoni van Leeuwenhoek” Full Professor at Delft University of Technology, Netherlands. His research encompasses advanced imaging techniques in computational ultrasound, deep learning applications in signal processing, and innovative methods for estimating angles of arrival and phase offsets. Recent articles highlight his work on optimized coded excitation, low-rank matrix recovery, and signal recovery techniques, demonstrating significant contributions to the fields of telecommunications and biomedical imaging.

Recent Grants

Grant: Close

tASk-cognizant sParse sensing for InfeREnce (ASPIRE)

Open Date: 2016-10-01

Close Date:

Grant: Close

autoNomous, self-learning, OPTImal and compLete Underwater Systems (NOPTILUS)

Open Date: 2011-04-01

Close Date: 2015-06-01

Grant: Close

Dependable Distributed Sensor Systems (D2S2)

Open Date: 2010-10-01

Close Date: 2016-05-01

Grant: Close

Signal Processing for Self-Organizing Wireless Networks (SOWN)

Open Date: 2009-10-01

Close Date: 2014-12-01

Grant: Close

CDMA-gebaseerde draadloze communicatienetwerken.

Open Date: 2000-10-01

Close Date: 2003-09-30

Articles (20)

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2022

Collaborators (9)

Christos Strydis

Erasmus University Rotterdam

NETHERLANDS

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Georgios Giannakis

Director of Digital Technology Center / Presidential Chair Professor

University of Minnesota

UNITED STATES

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Jose Moura

Phil L and Marsha Dowd University Professor

Carnegie Mellon University

UNITED STATES

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Antonio Marques

Professor

Universidad Rey Juan Carlos

SPAIN

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Antonio Ortega

University of Southern California

UNITED STATES

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Richard Christian Hendriks

Delft University of Technology

NETHERLANDS

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Raj Thilak Rajan

Assistant Professor

Delft University of Technology

NETHERLANDS

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Ayush Bhandari

Imperial College London

UNITED KINGDOM

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Costas Kokke

Assistant Professor

Netherlands Defence Academy

NETHERLANDS

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Geert Leus

Research Interests

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About

Recent Grants

Articles (20)

Computational Ultrasound Carotid Artery Imaging With a Few Transceivers: An Emulation Study

Deep-Learning-Aided Alternating Least Squares for Tensor CP Decomposition and Its Application to Massive MIMO Channel Estimation

Array Design for Angle of Arrival Estimation Using the Worst-Case Two-Target Cramér-Rao Bound

Low-Rank Covariance Matrix Recovery From Rank-One Measurements: An Analytical Solution

Optimizing Coded Excitation for Model-Based Ultrasound Imaging With Unfocused Transmissions

Joint Ranging and Phase Offset Estimation for Multiple Drones Using ADS-B Signatures

Four-dimensional computational ultrasound imaging of brain hemodynamics

A Generalization of the Convolution Theorem and Its Connections to Non-Stationarity and the Graph Frequency Domain

Binaural Beamforming Taking Into Account Spatial Release From Masking

Correlated Sparse Bayesian Learning for Recovery of Block Sparse Signals With Unknown Borders

Graph Signal Processing: History, development, impact, and outlook

Autoregressive graph Volterra models and applications

Greedy Sensor Selection: Leveraging Submodularity Based on Volume Ratio of Information Ellipsoid

Self-Calibration of Acoustic Scalar and Vector Sensor Arrays

Ultrasonic Imaging Through Aberrating Layers Using Covariance Matching

A Cascaded Structure for Generalized Graph Filters

Computational Array Signal Processing via Modulo Non-Linearities

Efficient Angle Estimation for MIMO Systems via Redundancy Reduction Representation

Efficient Super-Resolution Two-Dimensional Harmonic Retrieval With Multiple Measurement Vectors

Learning Time-Varying Graphs From Online Data

Collaborators (9)

Christos Strydis

Georgios Giannakis

Jose Moura

Antonio Marques

Antonio Ortega

Richard Christian Hendriks

Raj Thilak Rajan

Ayush Bhandari

Costas Kokke

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