I am Adjunct Assistant Professor of Computer Science and Electrical Engineering in the University of Maryland, Baltimore County (UMBC), USA.
In 2020-2024, I was also 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.

full

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