Contact
Address: | Jon Lilletunsvei 9 |
4879 Grimstad, Norway | |
Office: | A2-097 (A-Building) |
Tel: | +47 372 33 196, +47 406 59 709 |
Email: | daniel [dot] romero [at] uia [dot] no |
Introduction
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.
News
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Nov. 1, 2024. Check out our new submission "Spatial Transformers for Radio Map Estimation". Attention-based machine learning is not only useful in NLP. It also sets the state of the art in radio map estimation!
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Sep. 26, 2024.
My PhD student Raju Shrestha successfully defended his doctoral dissertation. Congrats, Raju!
- Jul. 24, 2024. I delivered a talk at the High End Workshop Karyashala, NIT Raipur, Chhattisgarh, India.
- May. 13, 2024. Our journal paper Theoretical Analysis of the Radio Map Estimation Problem has been accepted at the IEEE Transactions on Wireless Communications.
- May. 3, 2024. Check out our new journal submission "Probabilistic Roadmaps for Aerial Relay Path Planning". The key novelty in this work is a new algorithm for planning the path of two UAVs that provide connectivity to a moving user on the ground. See examples of trajectories in the video below.
- Apr. 4, 2024. Our paper "Analytical performance bounds for radio map estimation" will be presented at the IEEE Vehicular Technology Conference (VTC), Spring, Singapore.
- Mar. 21, 2024. Our journal paper "Aerial base station placement via propagation radio maps" has been accepted at the IEEE Transactions on Communications.
- Mar. 14, 2024. Our paper "Radio Maps for Beam Alignment in mmWave Communications with Location Uncertainty" will be presented at the IEEE Vehicular Technology Conference (VTC), Spring, Singapore.
- Mar. 5, 2024. Our paper "Spoofing Detection in the Physical Layer with Graph Neural Networks" will be presented at the IEEE Vehicular Technology Conference (VTC), Spring, Singapore.
- Jan. 10, 2024. Check our new submission "Radio Map Estimation: Empirical Validation and Analysis". To the best of our knowledge, this is the first large-scale study of radio map estimators with real data. Here, we developed and used a system for collecting a large dataset of radio measurements using UAVs.
- Dec. 23, 2024. Our paper "Spoofing attack detection in the physical layer with robustness to user movement" will be presented at the IEEE Wireless Communications and Networking Conference (WCNC), Dubai, UAE.
- Nov. 10, 2023. Check our new conference submission "Analytical Performance Bounds for Radio Map Estimation" and the corresponding journal paper Theoretical Analysis of the Radio Map Estimation Problem. This work, which is a collaboration with the University of California, San Diego, constitutes the first theoretical analysis of the radio map estimation problem. It characterizes the spatial variability of radio maps and upper bounds the performance of some radio map estimators.
- Nov. 10, 2023. Check our new submission "Spoofing Detection in the Physical Layer with Graph Neural Networks". Here, a GNN is used to detect spoofing attacks by learning the patterns of RSS changes over time corresponding to the activity of the legitimate user and attacker.
- Oct. 20, 2023. Our paper "Probabilistic Roadmaps for Aerial Relay Path Planning" will be presented at the IEEE Global Communications Conference (Globecom), in Kuala Lumpur, Malaysia.
- Oct. 18, 2023. Our paper "Radio Map Estimation in the Real-World: Empirical Validation and Analysis" will be presented at the IEEE Conference on Antenna Measurements and Applications, in Genoa, Italy. To the best of our knowledge, this is the first empirical analysis of radio map estimation.
- Oct. 18, 2023. Check our new submission "Spoofing Attack Detection in the Physical Layer with Robustness to User Movement". To the best of our knowledge, this is the first work to be able to satisfactorily detect spoofing attacks in the physical layer even when users move.
- Jan. 22, 2023. Check our new submission "Aerial Base Station Placement via Propagation Radio Maps".
- Dec. 23, 2022. We are pleased to announce the opening of a PhD position in our AirBonnet project. Deadline: Jan. 31, 2023.
- Nov. 8, 2022. Check our new submission "Spoofing Attack Detection in the Physical Layer with Commutative Neural Networks".
- Aug. 11, 2022. Our article "Radio Map Estimation: A Data-Driven Approach to Spectrum Cartography " has been accepted at the IEEE Signal Processing Magazine.
- Jul. 31, 2022. Our paper "Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs" has been accepted at the IEEE Transactions on Wireless Communications.
- May. 5, 2022. Our paper "Implicit Channel Charting with Application to UAV-aided Localization" has been accepted at the IEEE International Workshop on Signal Processing Advances in Wireless Communications, Oulu, Finland, July 4-6, 2022.
- Apr. 21, 2022. We are pleased to announce the opening of a PhD position in our project AirBonnet, which deals with providing wireless connectivity in crowded or remote areas as well as in emergency situations. Deadline: May 23.
- Apr. 20, 2022. Our paper "Aerial Base Station Placement Leveraging Radio Tomographic Maps" will be presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022), Singapore.
- Apr. 20, 2022. Our paper "Fast Graph Filters for Decentralized Subspace Projection" will be presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022), Singapore.
- Mar. 19, 2022. Check out our new submission "Implicit Channel Charting with Application to UAV-aided Localization".
- Mar. 3, 2022. Our paper "Aerial Base Station Placement: A Tutorial Introduction" has been accepted at the IEEE Communications Magazine.
- Feb. 1, 2022. Next Feb. 15, I will be joining the Dept. of ECE of the University of California, San Diego, as a visiting scholar.
- Feb. 1, 2022. Check out our new submission "Radio Map Estimation: A Data-Driven Approach to Spectrum Cartography ". This is a collaboration with Prof. Seung-Jun Kim from the University of Maryland, Baltimore County, and has been submitted to the IEEE Signal Processing Magazine.
- Jan. 22, 2022. Our paper " Aerial Base Station Placement Leveraging Radio Tomographic Maps" has been accepted at the IEEE International Conference on Acoustics, Speech, and Signal Processing, to be held in May 2022 in Singapore.
- Jan. 19, 2022. Our paper " Robust Sum-Rate Maximization for Underlay Device-to-Device Communications on Multiple Channels" has been accepted for publication in the IEEE Transactions on Vehicular Technology.
- Jan. 12, 2022. Our paper " Spectrum surveying: active radio map estimation with autonomous UAVs" has been submitted to the IEEE Transactions on Wireless Communications.
- Oct. 5, 2021. Check out our new submission "Aerial Base Station Placement: A Gentle Introduction".
- Aug. 14, 2021. Our paper "Deep Completion Autoencoders for Radio Map Estimation" has been accepted for publication in the IEEE Transactions on Wireless Communications.
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Apr. 21, 2021. I am pleased to announce the opening of two PhD positions in our project AirBonnet, which deals
with providing wireless connectivity in crowded or remote areas as well as in emergency situations:
- One position focuses on wireless communications, navigation, and emergency response aspects. Deadline: May 18.
- Another position focuses on control and autonomous operations. Deadline: May 2.
- Nov. 14, 2020. Our paper "Online Topology Identification from Vector Autoregressive Time Series" has been accepted at IEEE Trans. on Signal Processing.
- Nov. 13, 2020. My Ph.D. student Yves Teganya defended his doctoral thesis. Congrats, Yves!
- Sep. 20, 2020. Check our paper "Fast Graph Filters for Decentralized Subspace Projection", submitted to IEEE Trans. on Signal Processing.
- Aug. 11, 2020. Our NFR proposal "Ubiquitous Connectivity via Autonomous Airborne Networks" (AirBonnet) got funded. Budget 12.5 M NOK. News.
- May 25, 2020. I will be session chair in the beamforming session at SPAWC 2020.
- May 11, 2020. Our paper "Deep Completion Autoencoders for Radio Map Estimation" has been submitted to the IEEE Transactions on Wireless Communications.
- May 5, 2020. Our paper "Aerial Spectrum Surveying: Radio Map Estimation with Autonomous UAVs" has been submitte d to the IEEE International Workshop on Machine Learning for Signal Processing, 2020.
- Apr. 3, 2020. Our paper "Online Topology Identification from Vector Autoregressive Time Series" has been submitted to the IEEE Trans. on Signal Processing.
- Jan. 27, 2020. Our paper "Data-Driven Spectrum Cartography via Deep Completion Autoencoders" will be presented at the IEEE International Conference on Communications, June, 2020.
- Dec. 12, 2019. Our paper "Non-cooperative Aerial Base Station Placement via Stochastic Optimization" was presented at the Int. Conf. on Mobile Ad-hoc and Sensor Network, Shenzhen, China.
- Oct. 25, 2019. I received the Fysiografens Pris for Young Researchers of the Agder Academy of Sciences and Letters.
- May 23, 2019. Our paper "Location-free Spectrum Cartography" has been accepted for publication in the IEEE Transactions on Signal Processing.
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May 10, 2019. See our new paper "Non-cooperative Aerial Base Station Placement via Stochastic
Optimization". This video illustrates the operation of the proposed scheme:
- May 1, 2019. Two PhD position openings (see here and here) on machine learning and artificial intelligence for UAV communications and tracking.
- Apr. 3, 2019. Our paper "Online Topology Identification from Vector Autoregressive Time Series" has been submitted to IEEE Transactions on Signal Processing.
- Dec. 15, 2018, Our paper "Location-free Spectrum Cartography" has been submitted to IEEE Transactions on Signal Processing.
- Jan. 9, 2018. Our paper “Blind radio tomography” has been accepted for publication in IEEE Transactions on Signal Processing.
- Sep. 15, 2017. Our paper “Randomized block Frank-Wolfe for convergent large-scale learning” has been accepted accepted for publication in IEEE Transactions on Signal Processing.
- Jul. 25, 2017. Our paper "Kernel-based Reconstruction of Space-time Functions on Dynamic Graphs" was accepted and will be published on the Journal of Selected Topics in Signal Processing next Sep.
- Jul. 4, 2017. Our pape r ¨Blind Radio Tomography¨ has been submitted to IEEE Transactions on Signal Processing.
- May 23, 2017. The revised version of our paper "Kernel-based Reconstruction of Space-time Functions on Dynamic Graphs" now features a simplified derivation of the kernel Kalman filter.
- May 1, 2017. Our paper "Learning power spectrum maps from quantized power measurements" has been published on IEEE Transactions on Signal Processing.
- Dec. 12, 2016. Check out our recent submission entitled " Kernel-based Reconstruction of Space-time Functions on Dynamic Graphs."
- Dec. 1, 2016. I joined the University of Agder, Norway, as an associate professor.
- Jun. 7, 2016. Check our recent submission entitled "Learning power spectrum maps from quantized power measurements."
- May 23, 2016. Check our recent submission entitled "Kernel-based reconstruction of graph signals."