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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:
A2-097 ( Jon Lilletuns vei 9, Grimstad )
Office hours:
Scheduled by email.

Website: daniel-romero.eu

Group website: asl.uia.no

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, Sep. 7, 2009. University of Vigo, Spain. 

Research interests

Website: daniel-romero.eu

My research revolves around several areas:

  • UAV communications: we are currently working on developing a suitable technology for communications of UAVs that perform autonomous and semi-autonomous operations. The rapidly changing nature of the channel as well as the need for low-latency and high-reliability communication calls for enhancements and extensions of the cellular infrastructure that we are developing using machine learning.  
  • Time-series analysis: we work on making sense out of the enormous amount of data collected by sensors in scientific and industrial environments nowadays. We apply machine learning and network science techniques to unveil casual relations among processes, which allows high-level understanding of the dynamics of complex systems that cannot be analyzed through traditional model-based approaches.
  • Decentralized processing with sensor networks: we are developing network science tools to split the computation load across the sensors of a network. The purpose is to lengthen network lifetime, improve robustness, and reduce hardware costs. 

Courses and teaching

- IKT721, Statistical Signal Processing, PhD program, University of Agder.
- IKT719, Advanced Optimization, PhD program, University of Agder.
- IKT720, Optimization, PhD program, University of Agder.

More information: https://asl.uia.no/daniel/teaching

Projects

- Ubiquitous Connectivity via Autonomous Airborne Networks (AirBonnet), Project Manager: Daniel Romero; Researchers: Jaziar Radianti, Daniel Romero, Pham Q. Viet, Tien Ngoc Ha. Project Period: Jan. 2021 - Dec. 2026. Funding: Norwegian Research Council, IKTPLUSS program. Partners: University of Vigo; Delft University of Technology, Gradiant.

-Low-Altitude Communication and Tracking (LUCAT), Principal Investigators: Daniel Romero, Linga Cenkeramaddi, Baltasar Beferull-Lozano. Project Period: 2018 - 2023. Funding: Norwegian Research Council, IKTPluss INDNOR program. Partners: IISc Bangalore, University of Texas, Austin.

Scientific publications

  • Romero, Daniel; Pham, Viet Quoc; Shrestha, Raju (2024). Aerial Base Station Placement via Propagation Radio Maps. IEEE Transactions on Communications. ISSN: 0090-6778. 72 (9). s 5349 - 5364. doi:10.1109/TCOMM.2024.3383111.
  • Romero, Daniel; Ha, Tien Ngoc; Shrestha, Raju; Franceschetti, Massimo (2024). Analytical Performance Bounds for Radio Map Estimation. IEEE Vehicular Technology Conference (VTC). ISSN: 1090-3038. doi:10.1109/VTC2024-Spring62846.2024.10683442.
  • Ha, Tien Ngoc; Romero, Daniel; Lopez-Valcarce, Roberto (2024). Radio Maps for Beam Alignment in mmWave Communications with Location Uncertainty. IEEE Vehicular Technology Conference (VTC). ISSN: 1090-3038. doi:10.1109/VTC2024-Spring62846.2024.10683362.
  • Ha, Tien Ngoc; Romero, Daniel (2024). Spoofing Detection in the Physical Layer with Graph Neural Networks. IEEE Vehicular Technology Conference (VTC). ISSN: 1090-3038. doi:10.1109/VTC2024-Spring62846.2024.10683545.
  • Romero, Daniel; Ha, Tien Ngoc; Gerstoft, Peter (2024). Spoofing attack detection in the physical layer with robustness to user movement. IEEE Wireless Communications and Networking Conference. ISSN: 1525-3511. doi:10.1109/WCNC57260.2024.10570909.
  • Romero, Daniel; Ha, Tien Ngoc; Shrestha, Raju; Franceschetti, Massimo (2024). Theoretical Analysis of the Radio Map Estimation Problem. IEEE Transactions on Wireless Communications. ISSN: 1536-1276. 23 (10). s 13722 - 13737. doi:10.1109/TWC.2024.3404022.
  • Pham, Viet Quoc; Romero, Daniel (2023). Probabilistic roadmaps for aerial relay path planning. IEEE Global Communications Conference (GLOBECOM). ISSN: 2334-0983. doi:10.1109/GLOBECOM54140.2023.10437427.
  • Shrestha, Raju; Ha, Tien Ngoc; Pham, Viet Quoc; Romero, Daniel (2023). Radio Map Estimation in the Real-World: Empirical Validation and Analysis. IEEE Conference on Antenna Measurements & Applications (CAMA). ISBN: 979-8-3503-2304-7. IEEE (Institute of Electrical and Electronics Engineers). Conference paper. s 169 - 174.
  • Pham, Viet Quoc; Romero, Daniel (2022). Aerial Base Station Placement: A Tutorial Introduction. IEEE Communications Magazine. ISSN: 0163-6804. 60 (5). s 44 - 49. doi:10.1109/MCOM.001.2100861.
  • Romero, Daniel; Pham, Viet Quoc; Leus, Geert (2022). Aerial base station placement leveraging radio tomographic maps. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ISBN: 978-1-6654-0540-9. IEEE conference proceedings. chapter. s 5358 - 5362.
  • Romero, Daniel (2022). Comments on "Design of Asymmetric Shift Operators for Efficient Decentralized Subspace Projection". IEEE Transactions on Signal Processing. ISSN: 1053-587X. 70s 2899 - 2900. doi:10.1109/TSP.2022.3182161.
  • Pham, Viet Quoc; Romero, Daniel (2022). Implicit channel charting with application to UAV-aided localization. 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC). ISBN: 978-1-6654-9455-7. IEEE conference proceedings. Chapter.
  • Cardenas, Juan Diego; Beferull-Lozano, Baltasar; Elnourani, Mohamed; Romero, Daniel (2022). RISK-AWARE PARTICLE FILTERING FOR STATE ESTIMATION IN RECIRCULATING AQUACULTURE SYSTEMS. 2022 56th Asilomar Conference on Signals, Systems, and Computers. ISBN: 978-1-6654-5906-8. IEEE conference proceedings. KAPITTEL. s 829 - 833.
  • Romero, Daniel; Kim, Seung-Jun (2022). Radio Map Estimation: A data-driven approach to spectrum cartography. IEEE Signal Processing Magazine. ISSN: 1053-5888. 39 (6). s 53 - 72. doi:10.1109/MSP.2022.3200175.
  • Elnourani, Mohamed; Deshmukh, Siddharth; Beferull-Lozano, Baltasar; Romero, Daniel (2022). Robust Sum-Rate Maximization for Underlay Device-to-Device Communications on Multiple Channels. IEEE Transactions on Vehicular Technology. ISSN: 0018-9545. 71 (3). s 3075 - 3091. doi:10.1109/TVT.2022.3145011.
  • Shrestha, Raju; Romero, Daniel; Prabhakar Chepuri, Sundeep (2022). Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs. IEEE Transactions on Wireless Communications. ISSN: 1536-1276. 22 (1). s 627 - 641. doi:10.1109/TWC.2022.3197087.
  • Ghari, Siavash Mollaebrahim; Romero, Daniel; Beferull-Lozano, Baltasar (2021). Fast Decentralized Linear Functions Via Successive Graph Shift Operators. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. ISSN: 1520-6149. s 5225 - 5229. doi:10.1109/ICASSP39728.2021.9415098.
  • Jaiswal, Rahul Kumar; Romero, Daniel (2021). Implicit Wiener Filtering for Speech Enhancement In Non-Stationary Noise. 2021 11th International Conference on Information Science and Technology (ICIST). ISBN: 978-1-6654-1266-7. IEEE conference proceedings. conference paper. s 39 - 47.
  • 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. IEEE Transactions on Wireless Communications. ISSN: 1536-1276. 21 (3). s 1710 - 1724. doi:10.1109/TWC.2021.3106154.
  • 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.
  • Romero, Daniel; Leus, Geert (2019). Non-cooperative aerial base station placement via stochastic optimization. IEEE Xplore Digital Library. doi:10.1109/MSN48538.2019.00036.
  • 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 (Institute of Electrical and Electronics Engineers). 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.
  • Cardenas, Juan Diego; Beferull-Lozano, Baltasar; Elnourani, Mohamed; Romero, Daniel (2022). RISK-AWARE PARTICLE FILTERING FOR STATE ESTIMATION IN RECIRCULATING AQUACULTURE SYSTEMS.

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Last changed: 24.01.2023 12:01