Last update: February 2024

 

 

Laura-Maria Dogariu received a Bachelor’s degree in telecommunications systems from the Faculty of Electronics and Telecommunications (ETTI), University Politehnica of Bucharest (UPB), Romania, in 2014, and a double Master degree in wireless communications systems from UPB and CentraleSupélec, Université Paris-Saclay (with “Distinction” mention), in 2016. She received a PhD degree with “Excellent” mention (SUMMA CUM LAUDE) in 2019 from UPB and is currently working as an associate professor at the same university. Her research interests include adaptive filtering algorithms, multilinear systems and signal processing.

She was the recipient of several prizes and scholarships, among which the Paris-Saclay scholarship, the excellence scholarship offered by Orange Romania, and an excellence scholarship from UPB. Since 2016, Laura Dogariu is also a member of the IEEE Signal Processing Society. She serves as a reviewer for several international journals, e.g., IEEE Transactions on Signal Processing, IEEE Transactions on Signal and Information Processing over Networks, Signal Processing, Applied Acoustics, Sensors, Applied Sciences, and conferences, e.g., the IEEE International Symposium on Signals, Circuits and Systems.

 

Google scholar citations

 

Contact:

Email: ldogariu@comm.pub.ro

Room B207b

Telecommunications Department

Faculty of Electronics, Telecommunications, and Information Technology

University Politehnica of Bucharest

1-3, Iuliu Maniu Blvd., 061071, Bucharest, ROMANIA

 

JOURNAL PAPERS

  1. C.-L. Stanciu, J. Benesty, C. Paleologu, R. -L. Costea, L.-M. Dogariu, and S. Ciochină, “Decomposition-based Wiener filter using the Kronecker product and conjugate gradient method,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 32, pp. 124-138, Jan. 2024, WOS:001097062800009 – ISI Q1.
  2. J. Benesty, C. Paleologu, L.-M. Dogariu, “An iterative Wiener filter based on a fourth-order tensor decomposition,” Symmetry, vol.15(8), p.1560 (18 pages), Aug. 2023, WOS:001055867000001– ISI Q2.
  3. A. C. Becker, E. V. Kuhn, M. V. Matsuo, J. Benesty, C. Paleologu, L.-M. Dogariu, and S. Ciochină, “Stochastic model for the LMS algorithm with symmetric/antisymmetric properties,” Symmetry, vol. 14(9), p.1908 (11 pages), Sept. 2022, WOS:000859552100001 – ISI Q2.
  4. L.-M. Dogariu, J. Benesty, C. Paleologu, and S. Ciochină, “Identification of room acoustic impulse responses via Kronecker product decompositions,” IEEE/ACM Transactions on Audio, Speech, And Language Processing, vol. 30, pp. 2828-2841, Aug. 2022, WOS:000852841100004 – ISI Q1.
  5. I. D. Fîciu, J. Benesty, L.-M. Dogariu, C. Paleologu, S. Ciochină, “Efficient algorithms for linear system identification with particular symmetric filters,” Applied Sciences, vol. 12(9), p. 4263 (26 pages), April 2022, WOS:000794561600001 - ISI Q2.
  6. L.-M. Dogariu, J. Benesty, C. Paleologu, S. Ciochina, “An insightful overview of the Wiener filter for system identification,” Applied Sciences, vol. 11, p.7774 (20 pages), Aug. 2021, WOS:000694165800001 - ISI Q2.

7.     J. Benesty, C. Paleologu, L.-M. Dogariu, and Silviu Ciochină, “Identification of linear and bilinear systems: A unified study,” Electronics, vol. 10, p. 1790 (33 pages), July 2021, WOS:000681959500001.

8.     L.-M. Dogariu, C. Paleologu, J. Benesty, C.-L. Stanciu, C.-C. Oprea, and S. Ciochină, “A Kalman filter for multilinear forms and its connection with tensorial adaptive filters,” Sensors, vol. 21(10), p. 3555, May 2021, WOS:000662590100001 - ISI Q1.

  1. L.-M. Dogariu, C.-L. Stanciu, C. Elisei-Iliescu, C. Paleologu, J. Benesty, and S. Ciochină, “Tensor-based adaptive filtering algorithms,” Symmetry, vol. 13, no. 3, p. 481, Mar. 2021, DOI: 10.3390/sym13030481, WOS:000634166700001 - ISI Q2.
  2. C. Elisei-Iliescu, L.-M. Dogariu, C. Paleologu, J. Benesty, A.-A. Enescu, and S. Ciochină, “A recursive least-squares algorithm for the identification of trilinear forms,” Algorithms, vol. 13, no. 6, p. 135, Jun. 2020. DOI: 10.3390/a13060135, WOS:000551191100024.
  3. L. M. Dogariu, C. Paleologu, J. Benesty, and S. Ciochină, “An efficient Kalman filter for the identification of low-rank systems,” Signal Processing, vol. 166, id. 106237, Jan. 2020, DOI: 10.1016/j.sigpro.2019.107239, WOS:000491683100041 - ISI Q1.
  4. L. M. Dogariu, S. Ciochină, J. Benesty, and C. Paleologu, “System identification based on tensor decompositions: A trilinear approach,” Symmetry, vol. 11, p. 556, Apr. 2019, DOI: 10.3390/sym11040556, WOS:000467314400115 - ISI Q2.
  5. L. M. Dogariu, S. Ciochină, C. Paleologu, and J. Benesty, “A connection between the Kalman filter and an optimized LMS algorithm for bilinear forms,” Algorithms, vol. 11, p. 211, Dec. 2018, DOI: 10.3390/a11120211, WOS:000454716100022.

 

CONFERENCE PAPERS

  1. C. Paleologu, J. Benesty, C.-L. Stanciu, R.-L. Costea, L.-M. Dogariu, S. Ciochină, “Iterative Wiener filter based on third-order tensor decomposition and coordinate descent method,” in Proc. 8th International Symposium on Electrical and Electronics Engineering (ISEEE), pp. 156-161, Galați, Romania, Oct. 2023.
  2. L.-M. Dogariu, C. Paleologu, J. Benesty, C.-L. Stanciu, and S. Ciochină, “A decomposition-based Kalman filter for the identification of acoustic impulse responses”, in Proc. 31st European Signal Processing Conference (EUSIPCO), pp. 351-355, Helsinki, Finland, Sept. 2023.
  3. C.-L. Stanciu, C. Paleologu, J. Benesty, R.-L. Costea, L.-M. Dogariu, S. Ciochină, “Iterative Wiener filter using a Kronecker product decomposition and the coordinate descent method,” in Proc. International Symposium on Signals, Circuits and Systems (ISSCS), Iași, Romania, July 2023.
  4. I. D. Ficiu, L.-M. Dogariu, R.-L. Costea, C. Paleologu, J. Benesty, and S. Ciochină, “A Kalman filter for the identification of impulse responses with particular symmetry features,” in Proc. IEEE International Symposium on Electronics and Telecommunications (ISETC), Timișoara, Romania, Nov. 2022, 4 pages.
  5. J. Benesty, L.-M. Dogariu, C. Paleologu, and S. Ciochină, “An iterative Wiener filter for stereophonic acoustic echo cancellation,” in Proc. the Asilomar Conference on Signals, Systems, and Computers, online, Oct.-Nov. 2022.
  6. L.-M. Dogariu, J. Benesty, C. Paleologu, and S. Ciochină, “An iterative Wiener filter for the identification of impulse responses with particular symmetric properties,” in Proc. the 11th edition of the International Conference "Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies" (ATOM), Constanta, Romania, August 2022.
  7. A.-G. Rusu, L.-M. Dogariu, R.-L. Costea, C. Paleologu, J. Benesty, and S. Ciochină, “A variable step-size affine projection algorithm based on data reuse,” in Proc. the IEEE 45th International Conference on Telecommunications and Signal Processing (TSP), online, July 2022. *Best Paper Award*
  8. L.-M. Dogariu, C. Paleologu, J. Benesty, S. Ciochină, E. V. Kuhn, A. C. Becker, and M. V. Matsuo, “An affine projection algorithm for the identification of impulse responses with symmetric/antisymmetric characteristics,” in Proc. the IEEE 45th International Conference on Telecommunications and Signal Processing (TSP), online, July 2022.
  9. L.-M. Dogariu, C. Paleologu, J. Benesty, and S. Ciochină, “On the performance of a data-reuse fast RLS algorithm for acoustic echo cancellation,” accepted for publication in the IEEE 10th International Black Sea Conference on Communications and Networking (BlackSeaCom), Sofia, Bulgaria, June 2022.
  10. J. Benesty, L.-M. Dogariu, C. Paleologu, and S. Ciochină, “Efficient Identification of Acoustic Linear Systems,” in Proc. the IEEE 14th International Conference on Communications (COMM), online, June 2022.
  11. I.-D. Ficiu, C.-L. Stanciu, L.-M. Dogariu, C. Elisei-Iliescu, and C. Paleologu, “Tensor-based recursive least-squares algorithm with low computational complexity,” in Proc. the 15th International Conference on Sensor Technologies and Applications (SENSORCOMM), Athens, Greece, November 2021. *Best Paper Award*
  12. L.-M. Dogariu, C. Paleologu, J. Benesty, and S. Ciochina, “Improved affine projection algorithm for the identification of multilinear forms,” in Proc. the IEEE 27th International Symposium for Design and Technology in Electronic Packaging (SIITME), online, 2021, WOS:000786441900048.
  13. A.-G. Rusu, L.-M. Dogariu, S. Ciochina, and C.Paleologu, “A data-reuse approach for an optimized LMS algorithm,” in Proc. the IEEE 11th Conference on Speech Technology and Human-Computer Dialogue (SPED), online, 2021, WOS:000786794700006.
  14. L.-M. Dogariu, C. Paleologu, J. Benesty, and S. Ciochină, “Identification of multilinear forms with the tensorial Kalman filter,” in Proc. the IEEE 44th International Conference on Telecommunications and Signal Processing (TSP), online, July 2021, WOS:000701604600051.
  15. L.-M. Dogariu, C. Elisei-Iliescu, C. Paleologu, J. Benesty, and S. Ciochină, “A tensorial affine projection algorithm,” in Proc. the IEEE 15th International Symposium on Signals, Circuits and Systems (ISSCS), Iasi, Romania, July 2021.
  16. I.-D. Ficiu, L.-M. Dogariu, C.-L. Stanciu, and C. Paleologu, “Identification of multilinear forms using combinations of adaptive algorithms,” in Proc. the Sixth International Conference on Advances in Signal, Image and Video Processing (SIGNAL), Valencia, Spain, June 2021.
  17. L. -M. Dogariu, C. Paleologu, J. Benesty, C. Oprea, and S. Ciochină, “LMS algorithms for multilinear forms," in Proc. IEEE International Symposium on Electronics and Telecommunications (ISETC), 2020, pp. 1-4, WOS:000612681000069.
  18. C. C. Oprea and L. M. Dogariu, “Face recognition using tensors and gradient descriptors," in Proc. IEEE International Symposium on Electronics and Telecommunications (ISETC), 2020, pp. 1-4, DOI: 10.1109/isetc50328.2020.9301082, WOS:000612681000012.
  19. L.-M. Dogariu, S. Ciochină, C. Paleologu, J. Benesty, and C. Oprea, “An iterative Wiener filter for the identification of multilinear forms,” in Proc. IEEE International Conference on Telecommunications and Signal Processing (TSP), 2020, pp. 193-197, DOI: 10.1109/TSP49548.2020.9163453, WOS:000577106400042.
  20. I. A. Mocanu and L. M. Dogariu, “Propagation study of dual composite right left handed structures on textile materials,” in Proc. IEEE International Workshop on Antenna Technology (iWAT), 2020, pp. 1-4, DOI: 10.1109/iWAT48004.2020.1570609909, WOS:000627803200047.
  21. L.-M. Dogariu, C. Elisei-Iliescu, C. Paleologu, J. Benesty, and S. Ciochină, “A proportionate affine projection algorithm for the identification of sparse bilinear forms,” in Proc. IEEE International Symposium on Signals, Circuits and Systems (ISSCS), 2019 (4 pages), Iasi, Romania, DOI: 10.1109/ISSCS.2019.8801769, WOS:000503459500041.
  22. L.-M. Dogariu, S. Ciochină, J. Benesty, and C. Paleologu, “An iterative Wiener filter for the identification of trilinear forms,” in Proc. IEEE TSP, 2019, pp. 88-93, Budapest, Hungary, DOI: 10.1109/TSP.2019.8768839, WOS:000493442800019. *Best Paper Award*
  23. L.-M. Dogariu, S. Ciochină, C. Paleologu, J. Benesty, and P. Piantanida, “An optimized LMS algorithm for bilinear forms,” in Proc. IEEE International Symposium on Electronics and Telecommunications (ISETC), 2018 (4 pages), Timisoara, Romania, DOI: 10.3390/a11120211, WOS:000454716100022.
  24. L.-M. Dogariu, S. Ciochină, and C. Paleologu, “On the properties of the system mismatch covariance matrix in the LMS adaptive algorithm,” in Proc. IEEE International Conference COMMUNICATIONS (COMM), 2018, pp. 39-44, Bucharest, Romania, DOI: 10.1109/ICComm.2018.8484800, WOS:000449526000006.
  25. L. Dogariu, C. Paleologu, S. Ciochină, J. Benesty, and P. Piantanida, “Identification of bilinear forms with the Kalman filter,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018, pp. 4134-4138, Calgary, Canada, WOS:000446384604060.
  26. L.-M. Dogariu, S. Ciochină, C. Paleologu, J. Benesty, and P. Piantanida, “An adaptive solution for nonlinear system identification,” in Proc. IEEE International Symposium on Signals, Circuits and Systems (ISSCS), 2017 (4 pages), Iasi, Romania, WOS:000425211500056.

 

BOOKS / DIDACTIC MATERIALS

1.     L.-M. Dogariu, C. Paleologu, J. Benesty, S. Ciochină, “Identification of Multilinear Systems: A Brief Overview”, IntechOpen, 2022, ISBN: 978-1-80355-766-3

2.     I. M. Marcu, I. Pirnog, A. Vulpe, L. Dogariu, A.-M. Dragulinescu, "Electronic Measurements. Theory and applications", Politehnica Press, 2021, ISBN: 978-606- 515-987-7

3.     C. C. Oprea, L.-M. Dogariu, I. Pirnog, “Digital Signal Processing - Theory and Applications”, Politehnica Press, 2020, ISBN: 978-606-515-937-2

4.     I. Mocanu, L.-M. Dogariu, “Microwaves Problems Collection”, Printech, 2019, ISBN: 978-606-23-0986-2

5.     O. Datcu, A. Vulpe, L. Dogariu, “Electronic Measuring Instruments” (laboratory guide), Politehnica Press, 2017, ISBN: 978-606-515-787-3

6.     A. Vulpe, O. Datcu, L. Dogariu, “Measurements in Electronics and Telecommunications” (laboratory guide), Politehnica Press, 2017, ISBN: 978-606-515-780-4

 

RESEARCH GRANTS

1.     Novel sparsity-aware adaptive algorithms for acoustic applications (N.A.R.A.L.A.N.), 2022 – 2024 (24 months), UEFISCDI, PN-III-PCE-2021-0438. (postdoctoral researcher)

2.     Adaptive Algorithms for Multilinear System Identification Using Tensor Modelling (AdAMSysTeM), 2020 – 2021 (24 months), UEFISCDI, PN-III-P1-1.1-PD-2019-0340. (project manager)

3.     New Decomposition-Based Algorithms for Sparse System Identification (D.A.S.T.I.), 2019 – 2021 (24 months), UEFISCDI, PN-III-P1-1.1-TE-2019-0529. (postdoctoral researcher)

4.     Nonlinear personal encryption, 2017 – 2018 (12 months), GEX, EL 09-17-06/2017. (doctoral researcher)