Paul Irofti


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Current Position

Department of Automatic Control and Computers
University Politehnica of Bucharest

Postdoc involved in two research projects. I am also teaching "Numerical Methods", "Parallel and distributed processing of data and knowledge", and "Modelling and Simulation".

Sparse representations in signal processing
IDEI 2011 project, January 2014 - Present

Researching dictionary learning for compressed sensing applications with a focus on parallel GPU implementations.

Set-theoretic approaches for fault tolerant control of complex systems
TE 2015 project, September 2015 - Present

Investigating sensor placement using sparse representations and dictionary learning with applications in water distribution networks.

Publications

Journal:

[1] B. Dumitrescu and P. Irofti, “Regularized K-SVD,” IEEE Signal Processing Letters, vol. 24, no. 3, pp. 309--313, March 2017. [ bib | DOI | .pdf ]
[2] P. Irofti, “Efficient Parallel Implementation for Single Block Orthogonal Dictionary Learning,” Journal of Control Engineering and Applied Informatics, vol. 18, no. 3, pp. 101--108, 2016. [ bib | .pdf ]
[3] P. Irofti, “Efficient Dictionary Learning Implementation on the GPU Using OpenCL,” U.P.B. Scientific Bulletin, Series C, vol. 78, no. 3, pp. 39--50, 2016. [ bib | .pdf ]

Conference:

[1] P. Irofti and F. Stoican, “Dictionary Learning Strategies for Sensor Placement and Leakage Isolation in Water Networks,” in The 20th World Congress of the International Federation of Automatic Control, 2017, pp. 1--6. [ bib | .pdf ]
[2] B. Dumitrescu and P. Irofti, “Low Dimensional Subspace Finding via Size-Reducing Dictionary Learning,” in 2016 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2016, pp. 1--6. [ bib | .pdf ]
[3] P. Irofti, “The Effect of Atom Replacement Strategies on Dictionary Learning,” in International Traveling Workshop on Interactions Between Sparse Models and Technology, 2016, pp. 10--11. [ bib | .pdf ]
[4] P. Irofti and B. Dumitrescu, “Overcomplete Dictionary Learning with Jacobi Atom Updates,” in 39th International Conference on Telecommunications and Signal Processing, 2016, pp. 421--424. [ bib | .pdf ]
[5] P. Irofti and B. Dumitrescu, “Regularized Algorithms for Dictionary Learning,” in 2016 International Conference on Communications (COMM), 2016, pp. 439--442. [ bib | .pdf ]
[6] P. Irofti, “Sparse Denoising with Learned Composite Structured Dictionaries,” in 19th International Conference on System Theory, Control and Computing, 2015, pp. 331--336. [ bib | .pdf ]
[7] P. Irofti and B. Dumitrescu, “Cosparse Dictionary Learning for the Orthogonal Case,” in 19th International Conference on System Theory, Control and Computing, 2015, pp. 343--347. [ bib | .pdf ]
[8] P. Irofti and B. Dumitrescu, “Overcomplete Dictionary Design: the Impact of the Sparse Representation Algorithm,” in The 20th International Conference on Control Systems and Computer Science, 2015, pp. 901--908. [ bib | .pdf ]
[9] P. Irofti and B. Dumitrescu, “GPU Parallel Implementation of the Approximate K-SVD Algorithm Using OpenCL,” in 22nd European Signal Processing Conference, 2014, pp. 271--275. [ bib | .pdf ]

Under Review:

Theses:

[1] P. Irofti, Parallel Dictionary Learning Algorithms for Sparse Representations, Ph.D. thesis, University Politehnica of Bucharest, 2015. [ bib | .pdf ]
[2] P. Irofti, “Image Processing with Wavelet Transformations,” 2008, Bachelor of Science Thesis in Romanian. [ bib | .pdf ]