Last update: June 2021
Laura-Maria Dogariu
received a Bachelor 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 a postdoctoral researcher
and lecturer 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
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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.
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 – ISI Q1.
- 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.
- 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.
- 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.
- 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.
- 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
- L.-M. Dogariu,
C. Paleologu, J. Benesty, and S. Ciochină, “Identification of
multilinear forms with the tensorial Kalman filter,” submitted to the 44th
International Conference on Telecommunications and Signal Processing
(online), July 2021.
- L.-M. Dogariu,
C. Elisei-Iliescu, C. Paleologu, J. Benesty, and S. Ciochină, “A
tensorial affine projection algorithm,” accepted for publication in the
15-th International Symposium on Signals, Circuits and Systems (ISSCS),
Iasi, Romania, July 2021.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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*
- L.-M. Dogariu,
S. Ciochină, C. Paleologu, J. Benesty, and P. Piantanida, “An
optimized LMS algorithm for bilinear forms,”
in Proc. IEEE ,
2018 (4 pages), Timisoara, Romania, DOI: 10.3390/a11120211,
WOS:000454716100022.
- 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.
- 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.
- 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. C.
C. Oprea, L.-M. Dogariu, I. Pirnog, “Digital Signal Processing – Theory
and Applications”, Politehnica Press, 2021, ISBN: 978-606-515-937-2
2. I.
Mocanu, L.-M. Dogariu, “Microwaves Problems Collection”, Printech, 2019,
ISBN: 978-606-23-0986-2
3. O.
Datcu, A. Vulpe, L. Dogariu, “Electronic Measuring Instruments”
(laboratory guide), Politehnica Press, 2017, ISBN: 978-606-515-787-3
4. 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.
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)
2.
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)
3.
Nonlinear personal encryption,
2017 – 2018 (12 months), GEX, EL 09-17-06/2017 (doctoral
researcher)