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R. L. G.
Cavalcante received the electronics engineering degree from the
Instituto Tecnologico de Aeronautica (ITA), Brazil, in 2002, and the
M.E. and Ph.D. degrees in Communications and Integrated Systems from
the Tokyo Institute of Technology, Japan, in 2006 and 2008,
respectively. From April 2003 to April 2008, he was a recipient of the
Japanese Government (MEXT) Scholarship. He is currently a Research
Fellow with the Fraunhofer Institute for Telecommunications, Heinrich
Hertz Institute, Berlin, Germany. Previously, he held appointments as
a Research Fellow with the University of Southampton, Southampton,
U.K., and as a Research Associate with the University of Edinburgh,
Edinburgh, U.K.
Dr. Cavalcante received the Excellent Paper Award from the IEICE in
2006 and the IEEE Signal Processing Society (Japan Chapter) Student
Paper Award in 2008. He also co-authored the study that received the
2012 IEEE SPAWC Best Student Paper Award. His current interests are in
signal processing for distributed systems, multiagent systems, convex
analysis, machine learning, and wireless communications.
Click here [1] for visiting
his website
Book Chapters
D. A. Awan, R.L.G. Cavalcante, M. Yukawa and S.
Stanczak (2020). Adaptive Learning for Symbol Detection [2].
Machine Learning for Future Wireless Communications. Wiley
& IEEE Press, 15.
R. L. G. Cavalcante and S. Stanczak and I. Yamada
(2014). Cooperative Cognitive Radios with Diffusion Networks [3].
chapter Cognitive Radio and Sharing Unlicensed Spectrum in the book
Mechanisms and Games for Dynamic Spectrum Allocation, pages 262{303.
Cambridge University Press, UK, 2014, 262–303.
Journal Publications
D. A. Awan, Renato L.G. Cavalcante and Slawomir
Stanczak (2020). Robust Cell-Load Learning with a Small Sample Set
[4]. IEEE Transactions on Signal Processing (TSP),
68:270-283.
R. L.G. Cavalcante, Q. Liao and S. Stanczak
(2019). Connections between spectral properties of asymptotic mappings
and solutions to wireless network problems [5]. IEEE Transactions
on Signal Processing, Feb. 2019
B.-S. Shin and M. Yukawa and R. L. G. Cavalcante
and A. Dekorsy (2018). Distributed Adaptive Learning with Multiple
Kernels in Diffusion Networks [6]. IEEE Transactions on Signal
Processing, 5505-5519.
R.L.G. Cavalcante and M. Kasparick and S.
Stanczak (2017). Max-Min Utility Optimization in Load Coupled
Interference Networks [7]. IEEE Transactions on Wireless
Communications, vol. 16, no. 2, pp. 705-716, Feb. 2017
Qi Liao and R. L. G. Cavalcante (2017). Improving
Resource Efficiency with Partial Resource Muting for Future Wireless
Networks [8]. Proc. IEEE International Conference on Wireless and
Mobile Computing, Networking and Communications (WiMob), Oct.
2017
R.L.G. Cavalcante and S. Stanczak and J. Zhang
and H. Zhuang (2016). Low complexity iterative algorithms for power
estimation in ultra-dense load coupled networks [9]. IEEE Trans.
Signal Processing, vol. 64, no. 22, pp. 6058-6070, Nov. 2016
R.L.G. Cavalcante and Y. Shen and S. Stanczak
(2016). Elementary Properties of Positive Concave Mappings With
Applications to Network Planning and Optimization [10]. IEEE
Trans. Signal Processing, vol. 64, no. 7, pp. 1774-1783, April
2016
E. Pollakis and R.L.G. Cavalcante and S. Stanczak
(2016). Traffic Demand-Aware Topology Control for Enhanced
Energy-Efficiency of Cellular Networks [11]. EURASIP Journal on
Wireless Communications and Networks, vol. 2016, no. 1, pp. 1-17, Feb.
2016
M. Kasparick and R. L. G. Cavalcante and S.
Valentin and S. Stanczak and M. Yukawa (2015). Kernel-Based Adaptive
Online Reconstruction of Coverage Maps With Side Information [12].
IEEE Transactions on Vehicular Technology, vol. 65, no. 7, pp.
5461-5473, July 2016 (also available at
http://arxiv.org/abs/1404.0979)
R. Cavalcante and S. Stanczak and M. Schubert and
A. Eisenblätter and U. Türke (2014). Toward Energy-Efficient 5G
Wireless Communications Technologies [13]. IEEE Signal Processing
Magazine, vol. 31, no. 6, pp. 24-34, Nov. 2014
M. Vasirani, R. Kota, R. L. G. Cavalcante, S.
Ossowski and N. R. Jennings (2013). An Agent-Based Approach to Virtual
Power Plants of Wind Power Generators and Electric Vehicles [14].
IEEE Transactions on Smart Grid , vol. 4, no. 3, pp. 1314-1322,
Sept. 2013
R.L.G. Cavalcante and S. Stanczak (2013). A
Distributed Subgradient Method for Dynamic Convex Optimization
Problems under Noisy Information Exchange [15]. IEEE Journal of
Selected Topics in Signal Processing, vol. 7, no. 2, pp. 243-256,
April 2013
R. L. G. Cavalcante, A. Rogers, N. R. Jennings
and I. Yamada (2011). Distributed Asymptotic Minimization of Sequences
of Convex Functions by a Broadcast Adaptive Subgradient Method [16].
IEEE Journal of Selected Topics in Signal Processing, vol. 5, no.
4, pp. 739-753, Aug. 2011
R. L. G. Cavalcante and B. Mulgrew (2010).
Adaptive filter algorithms for accelerated discrete-time consensus
[17]. IEEE Trans. Signal Processing, vol. 58, no. 3, pp.
1049-1058, March 2010
R. L. G. Cavalcante, I. Yamada, and B. Mulgrew
(2009). An Adaptive Projected Subgradient Approach to Learning in
Diffusion Networks [18]. IEEE Trans. Signal Processing,vol. 57,
no. 7, pp. 2762-2774, July 2009
R. L. G. Cavalcante and I. Yamada (2009). A
flexible peak-to-average power ratio reduction scheme for OFDM systems
by the adaptive projected subgradient method [19]. IEEE Trans.
Signal Processing, vol. 57, no. 4, pp. 1456-1468, April 2009
T. Piotrowski, R. L. G. Cavalcante, and I. Yamada
(2009). Stochastic MV-PURE Estimator–-Robust Reduced-Rank
Estimator for Stochastic Linear Model [20]. IEEE Trans. Signal
Processing, vol. 57, no. 4, pp. 1293-1303, April 2009
R. L. G. Cavalcante and I. Yamada (2008).
Multiaccess interference suppression in orthogonal space-time block
coded MIMO systems by the adaptive projected subgradient method [21].
IEEE Trans. Signal Processing, vol. 56, no. 3, pp. 1028-1042,
March 2008. (Award Winning Paper)
R. L. G. Cavalcante and I. Yamada (2008).
Steady-state analysis of constrained normalized adaptive filters for
MAI reduction by energy conservation arguments [22]. Signal
Processing, vol. 88, no. 2, pp. 326-338, Feb. 2008
M. Yukawa, R. L. G. Cavalcante, and I. Yamada
(2005). Efficient blind MAI suppression in DS/CDMA systems by embedded
constraint parallel projection techniques [23]. IEICE Trans.
Fundamentals, vol. E88-A, no. 8, pp. 2062-2071, Aug. 2005. (Award
Winning Paper)
R. L. G. Cavalcante, I. Yamada, and K. Sakaniwa
(2004). A fast blind multiple access interference reduction in DS/CDMA
systems based on adaptive projected subgradient method [24].
IEICE Trans. Fundamentals, vol. E87-A, no. 8, pp. 1973-1980, Aug.
2004
Conference, Symposium, and
Workshop Papers
D.F. Külzer, S. Stanczak, R. L.G. Cavalcante and
M. Botsov (2020). Predictive Resource Allocation for Automotive
Applications using Interference Calculus [25]. IEEE Globecom
2020, December 7-11, in Taipei, Taiwan
R. L. G. Cavalcante, Q. Liao and S. Stanczak
(2020). Connections between spectral properties of asymptotic mappings
and solutions to wireless network problems [26]. ICASSP 2020 -
45th International Conference on Acoustics, Speech, and Signal
Processing, , May 4-8, 2020 in Barcelona, Spain
R. L. G. Cavalcante and S. Stanczak (2020).
Channel covariance estimation in multiuser massive MIMO systems with
an approach based on infinite dimensional hilbert spaces [27].
ICASSP 2020 - 45th International Conference on Acoustics, Speech,
and Signal Processing, May 4-8, 2020 in Barcelona, Spain
M. Mehlhose, D. A. Awan, R. L.G. Cavalcante, M.
Kurras and S. Stanczak (2020). Machine Learning-Based Adaptive Receive
Filtering: Proof-of-Concept on an SDR Platform [28]. accepted,
IEEE International Conference on Communications (ICC), Dublin,
Ireland, 2020
J. Fink, R. L.G. Cavalcante and S. Stanczak
(2020). Online Channel Estimation for Hybrid Beamforming Architectures
[29]. ICASSP 2020 - 45th International Conference on Acoustics,
Speech, and Signal Processing (ICASSP 2020), 4-8 May, 2020 in
Barcelona, Spain
R. L.G. Cavalcante and S. Stanczak (2020). Hybrid
data and model driven algorithms for angular power spectrum estimation
[30]. IEEE GLOBECOM 2020, December 7 - 11, in Taipei,
Taiwan
M. Mehlhose, D. A. Awan, R. L.G. Cavalcante, M.
Kurras, S. Stanczak (2020). Machine Learning-Based Adaptive Receive
Filtering: Proof-of-Concept on an SDR Platform [31]. 45th
International Conference on Acoustics, Speech, and Signal Processing,
ICASSP 2020, May 4-8, 2020, Barcelona, Spain (accepted demo
submission)
R. L. G. Cavalcante and S. Stanczak (2020). A
hybrid model-data driven approach for the estimation of the angular
power spectrum in massive MIMO systems [32]. IEEE Statistical
Signal Processing Workshop 2020, Rio de Janeiro, Brazil, 12th-15th
July, 2020 (to appear)
J. Fink and D. Schäufele and M. Kasparick and R.
L.G. Cavalcante and S. Stanczak (2019). Cooperative localization by
set-theoretic estimation [33]. 23rd International ITG Workshop on
Smart Antennas (WSA), April 24-26, 2019 in Vienna, Austria
R. Ismayilov, B. Holfeld, R. L.G. Cavalcante and
M. Kaneko (2019). Power and Beam Optimization for Uplink
Millimeter-Wave Hotspot Communication Systems [34]. IEEE Wireless
Communications and Networking Conference, 15-19 April 2019 in
Marrakech, Morocco
Renato L.G. Cavalcante and Slawomir Stanczak
(2019). Weakly standard interference mappings: existence of fixed
points and applications to power control in wireless networks [35].
International Conference on Acoustics, Speech, and Signal
Processing, 12 - 17 May, 2019 in Brighton, UK
J. Fink and R. L.G. Cavalcante and S. Stanczak
(2019). Multicast beamforming using semidefinite reflaxation and
bounded perturbation resilience [36]. International Conference on
Acoustics, Speech and Signal Processing (ICASSP), 12 - 17 May, 2019 in
Brighton, UK
D. Schäufele, R. L.G. Cavalcante and S. Stanczak
(2019). Tensor Completion for Radio Map Reconstruction using Low Rank
and Smoothness [37]. IEEE 20th International Workshop on Signal
Processing Advances in Wireless Communications (SPAWC)
J. Fink and R. L.G. Cavalcante and P. Jung and S.
Stanczak (2018). Extrapolated Projection Methods for PAPR Reduction
[38]. 26th European Signal Processing Conference (EUSIPCO 2018),
Sept. 2018
D. A. Awan and R.L.G. Cavalcante and M. Yukawa
and S. Stanczak (2018). Detection for 5G-NOMA: An Online Adaptive
Machine Learning Approach [39]. IEEE International Conference on
Communications (ICC), Kansas City, MO, USA.
L. Miretti and R.L.G. Cavalcante and S. Stanczak
(2018). FDD massive MIMO channel spatial covariance conversion using
projection methods [40]. IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP)
D. A. Awan and R.L.G. Cavalcante and S. Stanczak
(2018). A Robust Machine Learning Method for Cell-Load Approximation
in Wireless Networks [41]. IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Alberta,
Canada.
R. L. G. Cavalcante and L. Miretti and S.
Stanczak (2018). Error Bounds for FDD Massive MIMO Channel Covariance
Conversion with Set-Theoretic Methods [42]. Proc. IEEE Global
Telecommunications Conference (GLOBECOM), Dec. 2018 (to
appear)
R. L. G. Cavalcante and S. Stanczak (2018).
Spectral radii of asymptotic mappings and the convergence speed of the
standard fixed point algorithm [43]. Proc. IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr.
2018
B.-S. Shin, M. Yukawa, R. L. G. Cavalcante, and
A. Dekorsy (2018). A hybrid dictionary approach for distributed kernel
adaptive filtering in diffusion networks [44]. Proc. IEEE
International Conference on Acoustics, Speech and Signal Processing
(ICASSP), Calgary, AB, Canada, 15-20 April 2018
D. A. Awan, R. L.G. Cavalcante, Z. Utkovski and
S. Stanczak (2018). Set-Theoretic Learning for Detection in Cell-Less
C-RAN System [45]. IEEE Global Conference on Signal and
Information Processing, California, USA, Nov. 26-29, 2018
L. Miretti, R. L.G. Cavalcante and S. Stanczak
(2018). Downlink channel spatial coveriance estimation in realistic
FDD massive MIMO systems [46]. 6th IEEE Global Conference on
Signal and Information Processing, Anaheim, California, USA, Nov.
26-29, 2018
M.A. Gutierrez-Estevez and R.L.G. Cavalcante and
S. Stanczak (2018). Nonparametric Radio Maps Reconstruction via
Elastic Net Regularization with Multi-Kernels [47]. IEEE 19th
International Workshop on Signal Processing Advances in Wireless
Communications (SPAWC)
Renato L. G. Cavalcante and Slawomir Stanczak
(2018). Low-complexity distributed set-theoretic decoders for analog
fountain codes [48]. 52nd Asilomar Conference on Signals, Systems
and Computers 2018, Preprint.
R. L. G. Cavalcante and S. Stanczak (2017). The
role of asymptotic functions in network optimization and feasibility
studies [49]. 2017 IEEE Global Conference on Signal and
Information Processing (GlobalSIP), 563-567.
R. L. G. Cavalcante and S. Stanczak (2017). Peak
Load Minimization in Load Coupled Interference Networks [50]. The
42nd IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP)
M. A. Gutierrez-Estevez and R. L. G. Cavalcante
and S. Stanczak and J. Zhang and H. Zhuang (2016). A Distributed
Solution for Proportional Fairness Optimization in Load Coupled OFDMA
Networks [51]. IEEE Global Conference on Signal and Information
Processing (GlobalSIP)
D. A. Awan and R. L.G. Cavalcante and S. Stanczak
(2016). Distributed RAN and backhaul optimization for energy efficient
wireless networks [52]. IEEE Global Conference on Signal and
Information Processing (GlobalSIP), Washington , D.C., USA.
R. L. G. Cavalcante and E. Pollakis and S.
Stanczak (2014). Power estimation in LTE systems with the general
framework of standard interference mappings [53]. 2014 IEEE Global
Conference on Signal and Information Processing (GlobalSIP),
818-822.
R.L.G. Cavalcante and E. Pollakis and S. Stanczak
(2014). Load Estimation in LTE systems with the General Framework of
Standard Interference Mappings [54]. Proc. 2nd IEEE Global
Conference on Signal and Information Processing (GlobalSIP)
K. Oltmann and R.L.G. Cavalcante and S. Stanczak
(2013). Interference Identification in Cellular Networks via Adaptive
Projected Subgradient Methods [55]. Proc. the 47th Annual Asilomar
Conference on Signals, Systems, and Computers
E. Pollakis and R.L.G. Cavalcante and S. Stanczak
(2013). Enhancing energy efficient network operation in multi-RAT
cellular environments through sparse optimization [56]. Proc. IEEE
14th Workshop on Signal Processing Advances in Wireless Communications
(SPAWC)
S. Limmer and S. Stanczak and M- Goldenbaum and
R.L.G. Cavalcante (2013). Exploiting Interference for Efficient
Distributed Learning in Cluster-based Wireless Sensor Networks [57].
Proc. IEEE Global Conference on Signal and Information Processing
(GlobalSIP) - Network Theory Symposium
E. Pollakis and R. L. G. Cavalcante and S.
Stanczak and F. Penna (2012). Robust Interference Identification for
Multi-RAT Optimization in Wireless Cellular Networks [58]. Proc.
2012 IEEE International Symposium on Dynamic Spectrum Access Networks
(DySPAN)
S. Stanczak and M. Goldenbaum and R.
L. G. Cavalcante and F. Penna (2012). On In-Network
Computation via Wireless Multiple-Access Channels with Applications
[59]. Proc. the Ninth International Symposium on Wireless
Communication Systems (ISWCS), 276–280.
E. Pollakis and R. L. G. Cavalcante and S.
Stanczak (2012). Base station selection for energy efficient network
operation with the majorization-minimization algorithm [60]. Proc.
IEEE 13th International Workshop on Signal Processing Advances in
Wireless Communications (SPAWC)
R. L. G. Cavalcante and S. Stanczak (2012).
Robust Set-Theoretic Distributed Detection in Diffusion Networks [61].
Proc. 2012 IEEE International Conference on Acoustics, Speech, and
Signal Processing (ICASSP)
J. Mohammadi and S. Stanczak and R. L. G.
Cavalcante and J. Etesami (2011). Iterative Distributed Channel
Probing for Cognitive Radios with Power-Controlled Wireless Links
[62]. Proc. 8th International Symposium on Wireless Communication
Systems (ISWCS)
R.L.G. Cavalcante, A. Rogers, and N. R. Jennings
(2011). Consensus acceleration in multi‐agent systems with the
Chebyshev semi‐iterative method [63]. Proc. 10th Int. Conf. on
Autonomous Agents and Multiagent Systems (AAMAS 2011), pp. 165-172,
May 2011
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Contact
Dr. Renato L. G. Cavalcante
Fraunhofer Heinrich-Hertz-Institut
Einsteinufer 37
10587 Berlin
e-mail query [65]
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https://www.netit.tu-berlin.de/menue/team/cavalcan
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[29]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[30]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[31]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[32]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[33]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[34]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[35]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[36]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[37]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[38]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[39]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[40]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[41]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[42]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[43]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[44]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[45]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[46]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[47]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[48]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[49]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[50]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[51]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[52]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[53]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[54]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[55]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[56]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[57]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[58]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[59]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[60]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[61]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[62]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[63]
https://www.netit.tu-berlin.de/menue/team/cavalcan
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[64] https://matomo.org/
[65]
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