I am Adjunct Assistant Professor of Computer Science and Electrical Engineering in the University of Maryland, Baltimore County (UMBC), USA,
and Researcher in the School of Electrical Engineering, Tel Aviv University (TAU), Israel.
In 2018-2020, I was a post-doctoral researcher with the CNRS and IRIT (Institut de Recherche en Informatique de Toulouse), Toulouse, France.
In 2013-2018, I was a post-doctoral researcher in GIPSA-Lab (Grenoble Images Parole Signal Automatique), Grenoble, France.
I obtained my PhD in 2013, from Tel Aviv University, Israel.

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News:

• September 2022: LRMA, Mons, Belgium, talking about "New algorithms for positive semidefinite matrix factorization based on a connection with phase retrieval and affine rank minimization".
• July 2022: Visiting Prof. Walter Kellerman's group in Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany, and giving a talk: "Beyond independent component analysis: Subspace, coupled, and block decompositions" at their EEI Colloquium.
• August 2021: Matlab code for Positive semidefinite matrix factorization (PSDMF)
• June 2021: Dana Lahat presented "Beyond independent component analysis: Subspace, coupled, and block decompositions".
  This talk is part of the #BSIsubspace Virtual Talk series. The talk series is sponsored and promoted by the IEEE Signal Processing Society.

Research Interests:

• Algebraic methods for signal and data processing
• Linear and multilinear algebra, tensor methods and decompositions
• Low-rank approximations
• Multimodal data fusion, joint analysis of multiple datasets, multi-way data analysis
• Statistical signal processing
• Nonnegative matrix factorizations
• Phase retrieval, signal recovery from quadratic measurements
• Blind source separation (BSS), independent component analysis (ICA)

Matlab Code:

• Positive semidefinite matrix factorization (PSDMF)
• Joint block diagonalization (JBD) of a weighted set of positive-definite symmetric matrices
• Joint blind source separation (JBSS) of multidimensional components by coupled matrix
  block diagonalization and tensor block term decomposition (BTD) (available upon request)

Special Sessions that I (Co)-Organized:

• Coupled matrix and tensor decompositions: Theory and methods (minisymposium), SIAM-ALA18
• Matrix and Tensor Decompositions and Applications (minisymposium), SIAM-ALA15
• Joint Analysis of Multiple Datasets, Data Fusion and Related Topics (special session), LVA/ICA 2015
• Signal Processing for Multimodal Data (special session), → presentations (slides) and supporting material