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Daniel Romero

Associate Professor

Associate Professor

 
Office:
C225A ( Jon Lilletuns vei 3, Grimstad )
Office hours:
Scheduled by email.

Ph.D. in Signal Theory and Communications, May 2015, University of Vigo, Spain. Dissertation: Estimation, Detection, and Learning for Dynamic Spectrum Access. Advisor: Prof. Roberto López-Valcarce.

M.Sc. in Signal Theory and Communications, Jul. 2011. University of Vigo, Spain. 

Telecommunication Engineering Degree, Sep. 7, 2009. University of Vigo, Spain. 

Academic interests

Teaching: 

Advanced optimization, Fall 2017. 

Projects

1. Wireless Social Devices enabled by Self-Organized Spectrum Cartography (WISECART), FRIPRO TOPPFORSK Grant Award, Research Council of Norway, 4/2016 – 4/2021, Researcher, 20%. 

2. Off-shore--On-shore Collective Analytics & Intelligence for condition-based monitoring in drilling & operations using heterogeneous networks (SMART-RIG), Researcher Project, Research Council of Norway, 4/2015 – 4/2020, Researcher 15%. 

3. Offshore Mechatronics (Center of Research-Driven Innovation SFI), Research Council of Norway, 5/2015 – 5/2023, WP: IT Integration, Data Analytics and Big Data, Researcher 15%. 

4. Data-driven cyber-physical networked systems for autonomous cognitive control and adaptive learning in industrial & urban water environments (INDURB), IKTPLUSS Program, Research Council of Norway, 04/2017, Researcher 15%.

Scientific publications

  • Romero, Daniel Lee, Donghoon Giannakis, Georgios B. (2018). Blind Radio Tomography. IEEE Transactions on Signal Processing. ISSN: 1053-587X. 66 (8). s 2055 - 2069. doi:10.1109/TSP.2018.2799169.
  • Ghari, Siavash Mollaebrahim Asensio-Marco, César Romero, Daniel Beferull-Lozano, Baltasar (2018). Decentralized subspace projection in large networks. 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP). ISBN: 978-1-7281-1295-4. IEEE conference proceedings. chapter.
  • Lopez-Ramos, Luis M. Romero, Daniel Zaman, Bakht Beferull-Lozano, Baltasar (2018). Dynamic network identification from non-stationary vector autoregressive time series. 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP). ISBN: 978-1-7281-1295-4. IEEE conference proceedings. chapter.
  • Weerasinghe, Thilina Nuwan Romero, Daniel Asensio-Marco, César Beferull-Lozano, Baltasar (2018). Fast Distributed Subspace Projection via Graph Filters. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ISBN: 978-1-5386-4658-8. IEEE conference proceedings. chapter. s 4639 - 4643.
  • Ioannidis, Vassilis N. Romero, Daniel Giannakis, Georgios B. (2018). Inference of Spatio-Temporal Functions Over Graphs via Multikernel Kriged Kalman Filtering. IEEE Transactions on Signal Processing. ISSN: 1053-587X. 66 (12). s 3228 - 3239. doi:10.1109/TSP.2018.2827328.
  • Ioannidis, Vassilis N. Ma, Meng Nikolakopoulos, Athanasios N. Romero, Daniel Giannakis, Georgios B. (2018). Kernel-Based Inference of Functions Over Graphs. Adaptive Learning Methods for Nonlinear System Modeling. ISBN: 9780128129760. Elsevier. Chapter 8.
  • Teganya, Yves Lopez-Ramos, Luis M. Romero, Daniel Beferull-Lozano, Baltasar (2018). Localization-Free Power Cartography. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ISBN: 978-1-5386-4658-8. IEEE conference proceedings. chapter. s 3549 - 3553.
  • Ramirez, David Romero, Daniel Via, Javier Lopez-Valcarce, Roberto Santamaría, Ignacio (2018). Locally optimal invariant detector for testing equality of two power spectral densities. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. ISSN: 1520-6149. 2018-Aprils 3929 - 3933. doi:10.1109/ICASSP.2018.8462683.
  • Ramirez, David Romero, Daniel Via, Javier Lopez-Valcarce, Roberto Santamaría, Ignacio (2018). Testing Equality of Multiple Power Spectral Density Matrices. IEEE Transactions on Signal Processing. ISSN: 1053-587X. 66 (23). s 6268 - 6280. doi:10.1109/TSP.2018.2875884.
  • Elnourani, Mohamed Hamid, Mohamed Romero, Daniel Beferull-Lozano, Baltasar (2018). Underlay Device-to-Device Communications on Multiple Channels. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ISBN: 978-1-5386-4658-8. IEEE conference proceedings. chapter. s 3684 - 3688.
  • Dyonisius Dony, Ariananda Romero, Daniel Leus, Geert (2017). Cooperative Compressive Power Spectrum Estimation in Wireless Fading Channels. 2017 International Conference on Electrical Engineering and Informatics (ICELTICs 2017). ISBN: 978-1-5386-2932-1. IEEE conference proceedings. chapter.
  • Lopez-Valcarce, Roberto Romero, Daniel (2017). Defending Surveillance Sensor Networks Against Data-Injection Attacks via Trusted Nodes. Proceedings of the European Signal Processing Conference. ISSN: 2076-1465. s 380 - 384. doi:10.23919/EUSIPCO.2017.8081233.
  • Ioannidis, Vassilis N. Romero, Daniel Giannakis, Georgios B. (2017). Inference of Spatiotemporal Processes over Graphs via Kernel Kriged Kalman Filtering. 2017 25th European Signal Processing Conference (EUSIPCO). ISBN: 978-0-9928626-7-1. IEEE. chapter. s 1679 - 1683.
  • Giannakis, GB Romero, Daniel Ma, Meng (2017). Kernel-Based Reconstruction of Graph Signals. IEEE Transactions on Signal Processing. ISSN: 1053-587X. s 764 - 778. doi:10.1109/TSP.2016.2620116.
  • Romero, Daniel Ioannidis, Vassilis N. Giannakis, GB (2017). Kernel-Based Reconstruction of Space-Time Functions on Dynamic Graphs. IEEE Journal on Selected Topics in Signal Processing. ISSN: 1932-4553. 11 (6). s 856 - 869. doi:10.1109/JSTSP.2017.2726976.
  • Romero, Daniel Kim, Seung-Jun Giannakis, GB Lopez-Valcarce, Roberto (2017). Learning Power Spectrum Maps From Quantized Power Measurements. IEEE Transactions on Signal Processing. ISSN: 1053-587X. 65 (10). s 2547 - 2560. doi:10.1109/TSP.2017.2666775.
  • Zaman, Bakht Lopez-Ramos, Luis M. Romero, Daniel Beferull-Lozano, Baltasar (2017). Online topology estimation for vector autoregressive processes in data networks. Computational Advances in Multi-Sensor Adaptive Processing, IEEE 7th International Workshop on (CAMSAP). ISBN: 978-1-5386-1251-4. IEEE conference proceedings. chapter.
  • Zhang, Liang Wang, Gang Romero, Daniel Giannakis, GB (2017). Randomized Block Frank–Wolfe for Convergent Large-Scale Learning. IEEE Transactions on Signal Processing. ISSN: 1053-587X. 65 (24). s 6448 - 6461. doi:10.1109/TSP.2017.2755597.
  • Lopez-Ramos, Luis M. Romero, Daniel Zaman, Bakht Beferull-Lozano, Baltasar (2018). Dynamic network identification from non-stationary vector autoregressive time series.
  • Teganya, Yves Lopez-Ramos, Luis M. Romero, Daniel Beferull-Lozano, Baltasar (2018). Localization-Free Power Cartography.

Last changed: 21.06.2018 14:06

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