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Daniel Romero

Daniel Romero

Associate Professor

Associate Professor

Department of Information and Communication Technology >

 

+47 37 23 31 96

+47 406 59 709

Office:
A2100 ( Jon Lilletuns vei 9, Grimstad )
Office hours:
Scheduled by email.

Website: daniel-romero.eu

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. 

Research interests

Website: daniel-romero.eu

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; Shrestha, Raju; Teganya, Yves; Prabhakar Chepuri, Sundeep (2020). Aerial Spectrum Surveying: Radio Map Estimation with Autonomous UAVs. Machine Learning for Signal Processing. ISSN: 1551-2541. s 1 - 6. doi:10.1109/MLSP49062.2020.9231595.
  • Romero, Daniel; Shrestha, Raju; Teganya, Yves; Prabhakar Chepuri, Sundeep (2020). Aerial Spectrum Surveying: Radio Map Estimation with Autonomous UAVs. 2020 IEEE International Workshop on Machine Learning for Signal Processing. ISBN: 978-1-7281-6662-9. IEEE conference proceedings. chapter.
  • Teganya, Yves; Romero, Daniel (2020). Data-Driven Spectrum Cartography via Deep Completion Autoencoders. ICC 2020 - 2020 IEEE International Conference on Communications (ICC). ISBN: 978-1-7281-5089-5. IEEE. pp.. s 1 - 7.
  • Teganya, Yves; Romero, Daniel (2020). Deep Completion Autoencoders for Radio Map Estimation. arXiv.org. ISSN: 2331-8422. s 1 - 13.
  • Romero, Daniel; Ghari, Siavash Mollaebrahim; Beferull-Lozano, Baltasar; Marco, Cesar Asensio (2020). Fast Graph Filters for Decentralized Subspace Projection. IEEE Transactions on Signal Processing. ISSN: 1053-587X. doi:10.1109/TSP.2020.3038528.
  • Zaman, Bakht; Lopez Ramos, Luis Miguel; Romero, Daniel; Beferull-Lozano, Baltasar (2020). Online Topology Identification From Vector Autoregressive Time Series. IEEE Transactions on Signal Processing. ISSN: 1053-587X. s 220 - 225. doi:10.1109/TSP.2020.3042940.
  • Elnourani, Mohamed; Deshmukh, Siddharth; Beferull-Lozano, Baltasar; Romero, Daniel (2020). Robust Transmit Beamforming for Underlay D2D Communications on Multiple Channels. 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). ISBN: 978-1-7281-5478-7. IEEE. Chapter.
  • Ghari, Siavash Mollaebrahim; Romero, Daniel; Beferull-Lozano, Baltasar (2019). Fast Decentralized Linear Functions via Successive Graph Shift Operators. arXiv.org. ISSN: 2331-8422.
  • Teganya, Yves; Romero, Daniel; Lopez-Ramos, Luis M.; Beferull-Lozano, Baltasar (2019). Location-free Spectrum Cartography. IEEE Transactions on Signal Processing. ISSN: 1053-587X. 67 (15). s 4013 - 4026. doi:10.1109/TSP.2019.2923151.
  • Elnourani, Mohamed; Beferull-Lozano, Baltasar; Romero, Daniel; Deshmukh, Siddharth (2019). Reliable Underlay Device-to-Device Communications on Multiple Channels. 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). ISBN: 978-1-5386-6528-2. IEEE conference proceedings. chapter.
  • 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. 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.

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Last changed: 20.11.2019 11:11