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Baltasar Enrique Beferull Lozano

Baltasar Enrique Beferull Lozano

Professor

Professor and Director of Center Intelligent Signal Processing and Wireless Networks (WISENET)

Department of Information and Communication Technology >

 

+47 37 23 31 59

+47 482 60 028

Office:
A3202 ( Jon Lilletuns vei 9, Grimstad )
Office hours:
A3-202, WISENET Center, 9:00 - 16:00, web site: http://wisenet.uia.no

Center Intelligent Signal Processing and Wireless Networks (WISENET) 

Department of Information and Communication Technology

Department of Engineering Sciences (by courtesy)

Baltasar Beferull-Lozano received his MSc in Physics from University of Valencia, Spain, in 1995 (First in Class Honors) and the MSc and PhD degrees in Electrical Engineering from University of Southern California (USC), Los Angeles, in 1999 and 2002, respectively. At USC, he received several awards including the Best PhD Thesis paper Award in 2002 and the Outstanding Academic Achievement Award in 1999. 

Prof. Beferull brings extensive research and technology transfer experience from both the US., having worked at USC and AT&T Shannon Labs, (formerly AT&T Bell Labs) and also Europe, having worked at EPFL as Research Associate and at University of Valencia, Spain, as Professor. Since 2015, he is Professor at University of Agder, leading the Center Intelligent Signal Processing and Wireless Networks (WISENET).

He has coordinated or participated as Principal Investigator in more than 20 international Projects in the areas of Wireless Sensor and Actuator Networks, Signal Processing, Data Science, Machine Learning, Networked Cyber-Physical Systems, In-Network Collective Intelligence and next-generation AI-driven Wireless Networks, including 10 EU Projects (FP6, FP7, H2020), among others, HYDROBIONETS, SENDORA, WISERNETS, CRUISE, as well as a CONSOLIDER Center (SFF-like National Center of Excellence in Spain) and similar ones in Switzerland and the US. Currently, he is coordinator or Principal Investigator in five large Research Projects funded by the Research Council of Norway, including a FRIPRO TOPPFORSK Grant (most competitive Program for fundamental research). He has co-authored over 200 technical papers in high-quality peer-reviewed international journal and conferences (including several Best paper Awards) with a high-rate of citations, generated 3 U.S. patents, supervised 15 PhD Theses and imparted seminars and postgraduate courses at more than 100 different international institutions. Prof. Beferull has also collaborated intensively with several companies in the field, such as Telenor, ACCIONA, Thales Communications, Telefónica, INDRA, IBM, Deutsche Telekom, National Instruments, Lundin Norway, MHWirth, ABB, NIVA and SINTEF, among others. Prof. Beferull is a Senior Member of the IEEE. 

He is an official Evaluator and Expert for European Commission (since 2006), Qatar National Research Fund Program, Qatar Foundation (since 2008), the US. NSF (since 2008), and the Research Council of Finland, for both Research Proposals and on-going projects on Information and Communication Technologies, as well as several other Engineering disciplines. He has served as a member of the Technical Program Committees for several top IEEE and ACM International Conferences. Prof. Beferull is also a Senior Area Editor for IEEE Transactions on Signal Processing.

He carries out fundamental and applied research on these topics: a) data science and machine learning, b) in-network signal processing and collective intelligence, c) artificial intelligence for next generation wireless networks and cyber-physical systems. His work is highly interdisciplinary, covering Theory, Algorithms and Testbed implementation for different application scenarios, such as condition-based monitoring of industrial plants and natural resources, ambient intelligence, environmental monitoring, smart water networks, unmanned aerial vehicles, 5G smart wireless networks, energy management and networked collaborative robots, transportation and biological networks, among others.

He has received Best Paper Awards at several international conferences, such as the IEEE International Conference on Distributed Computing in Sensor Systems, 2012, and IEEE Data Science and Learning Conference, 2021. He ranked 1st in the Ramón y Cajal Spanish Program 2005, a highly competitive program for promoting outstanding young investigators. He has also received the TOPPFORSK Grant Award from the Research Council of Norway, 2015 (only recipient in the combined areas of signal processing, machine learning and smart networks), top cross-disciplinary excellence research program for fundamental research in Norway. Several of Prof. Beferull’s published papers have been used as part of the selected mandatory reading list for graduate courses in several US. Universities, such as: Univ. of Michigan, Ann Arbor, USC, Univ. of California, Santa Cruz and Univ. of Massachussets, Amherst.

Google Scholar

Selected Journal Publications

- E. Ruiz, L. M. López-Ramos, B. Beferull-Lozano, “A Trainable Approach to Zero-delay Smoothing Spline Interpolation”, IEEE Transactions on Signal Processing, Vol. 71, pp. 4317-4329, 2023.

- E. Ruiz-Moreno, B. Beferull-Lozano, "An Online Multiple Kernel Parallelizable Learning Scheme", IEEE Signal Processing Letters, Vol. 31, pp. 121-125, 2023.

- B. Zaman, L. M. Lopez-Ramos, B. Beferull-Lozano, “Online Joint Topology Identification and Signal Estimation from Streams with Missing Data”, IEEE Transactions on Signal and Information Processing over Networks, Vol. 9, pp. 691-704, 2023.

- R. T. Money, J. P. Krishnan, B. Beferull-Lozano, “Sparse Online Learning with Kernels using Random Features for Estimating Nonlinear Dynamic Graphs”, IEEE Transactions on Signal Processing, Vol. 71, pp. 2027-2042, June 2023.

- S. Mollaebrahim, B. Beferull-Lozano, “Distributed Linear Network Operators via Successive Graph Shift Matrices”, IEEE Transactions on Signal and Information Processing over Networks, Vol. 9, pp. 315-328, April 2023.

- R. Money, J. Krishnan, B. Beferull-Lozano, E. Isufi, “Scalable and Privacy-aware Online Learning of Non-linear Structural Equation Models”, IEEE Open Journal of Signal Processing, Vol. 4, pp. 61-70, Feb. 2023.

- R. Money, J. Krishnan, B. Beferull-Lozano, E. Isufi, “Online Missing Data Imputation of Edge Flows“, IEEE Signal Processing Letters, Vol. 30, pp. 115-119, Nov. 2022.

- L. Ben Saad, B. Beferull-Lozano, E. Isufi. “Quantization Analysis and Robust Design in Distributed Graph Filters”, IEEE Transactions on Signal Processing, Vol. 70, pp. 643 – 658, 2021.

- M. Elnourani, S. Deshmukh, B. Beferull-Lozano, “Resource Allocation for Underlay Interfering D2D Networks with Multi-antenna and Imperfect CSI”, IEEE Transactions on Communications, July 2022.

- R. Sharan, S. Deshmukh, S. R. B. Pillai, B. Beferull-Lozano, “Energy Efficient AoI Minimization in Opportunistic NOMA/OMA Broadcast Wireless Networks”, IEEE Transactions on Green Communications and Networking, Vol. 6, pp. 1009-1022, 2021.

- M. Elnourani, S. Deshmukh, B. Beferull-Lozano, "Distributed Resource Allocation in Underlay Multicast D2D Communications" IEEE Transactions on Communications, Vol. 69, no. 5, pp. 3409-3422, 2021.

- B. Zaman, L. M. Lopez-Ramos, D. Romero, B. Beferull-Lozano, “Online Topology Identification from Vector Autoregressive Time-series”, IEEE Transactions on Signal Processing, Vol. 69, pp. 210-225, 2020.    

- D. Romero, S. Mollaebrahim, B. Beferull-Lozano, C. Asensio, “Fast Graph Filters for Decentralized Subspace Projection”, IEEE Transactions on Signal Processing, Vol. 69, pp. 150-164, 2020.

- L. Ben Saad, B. Beferull-Lozano, “Accurate Graph Filtering in Random Wireless Networks”, IEEE Internet of Things Journal, Vol. 7, pp.11431 – 11445, 2020.

- Y. Teganya, D. Romero, L. M. Lopez-Ramos, B. Beferull-Lozano, Location-free Spectrum Cartography, IEEE Transactions on Signal Processing, Vol. 67, pp. 4013-4026, 2019.

- C. Asensio-Marco, D. Alonso-Roman, B. Beferull-Lozano, “Cross-layer MAC protocol for unbiased average consensus under random interference”, IEEE Transactions on Signal and Information Processing over Networks, Vol. 5, pp. 320-333, 2019.

- C. Asensio-Marco, B. Beferull-Lozano, "Adaptive Medium Access Control for Distributed Processing in Wireless Sensor Networks", IEEE Transactions on Signal and Information Processing over Networks, Vol. 5, no.1, pp. 113-126, 2018.

- G. Tsagkatakis, B. Beferull-Lozano, P. Tsakalides. "Singular Spectrum based Matrix Completion for Time-Series Recovery and Prediction", EURASIP Journal on Advances in Signal Processing, Special Issue on Signal Processing for Big Data, Vol. 66, pp. 1-14, May 2016.

- C. Asensio, B. Beferull-Lozano, "Energy efficient Consensus over Complex Networks", IEEE Journal of Selected Topics in Signal Processing, Vol. 9, no. 2, pp. 292-303, March 2015.

- I. Alustiza, P. Crespo, B. Beferull-Lozano, "Analog Multiple Description Joint Source-Channel Coding Based on Lattice Scaling", IEEE Transactions on Signal Processing, Vol. 63, no. 12, pp. 3046-3061, March 2015. 

- X. Huang, B. Beferull-Lozano, C. Botella, "Quasi Nash Equilibrium for non-convex distributed power allocation games in Cognitive Radios", IEEE Transactions on Wireless Communications, Vol. 12, no. 7, pp. 3326-3337, July 2013.

- X. Insausti, F. Camaro, P. Crespo, B. Beferull-Lozano, J. Gutiérrez-Gutiérrez, “Distributed Gossip Algorithm and Finite-Length Computational Codes for Efficient In-network Subspace Projection”, IEEE Journal of Selected Topics in Signal Processing, Vol. 7, no. 2, pp. 163-174, April 2013.

- A. Erdozain, P. Crespo, B. Beferull-Lozano, “Multiple Description Analog Joint Source-Channel Coding to Exploit the Diversity in Parallel Channels”, IEEE Transactions on Signal Processing, Vol. 60, no. 11, pp. 5800-5892, Nov. 2012.

- B. Beferull-Lozano, R. Konsbruck, “On source coding for distributed temperature sensing with shift-invariant geometries”, IEEE Transactions on Communications, Vol 59, no. 4, pp. 1053-1065, April 2011.

- V. Velisavljevic, B. Beferull-Lozano, M. Vetterli, “Space-Frequency Quantization for Image Compression with Directionlets”, IEEE Transactions on Image Processing, Vol. 16, no. 7, pp. 1761-1773, July 2007.

- G. Tzagkarakis, B. Beferull-Lozano and P. Tsakalides, “Rotation-Invariant Texture retrieval with gaussianized steerable pyramids”, IEEE Transactions on Image Processing, Vol. 15, no. 9, pp. 2702-2718, Sept. 2006.

- I. Jovanovic, B. Beferull-Lozano, “Oversampled A/D Conversion and Error-Rate Dependence of Non-Bandlimited Signals with Finite Rate of Innovation”. IEEE Transactions on Signal Processing, Vol. 54, no. 6, pp. 2140-2154, June 2006.

- G. Barrenetxea, B. Beferull-Lozano and M. Vetterli, “Lattice Sensor Networks: Capacity Limits and Optimal Routing”.  IEEE/ACM Transactions on Networking, Vol. 14, no. 3, pp. 492-505, June 2006.

- D. Ganesan, R. Cristescu and B. Beferull-Lozano, “Power-efficient sensor placement and transmission structure for data gathering under distortion constraints", ACM Transactions on Sensor Networks, Vol. 2, no. 2, pp. 155-181, May 2006.

- R. Cristescu, B. Beferull-Lozano and M. Vetterli, “Networked Slepian-Wolf: Theory, Algorithms and Scaling Laws”. IEEE Transactions on Information Theory, Vol. 51, no. 12, pp. 4057-4073, Dec. 2005.

- R. Cristescu, B. Beferull-Lozano, M. Vetterli and R. Wattenhofer. “Network Correlated Data Gathering with Explicit Communication: NP-Completeness and Algorithms”. IEEE/ACM Transactions on Networking, Vol. 14, no.1, pp. 41- 54, Feb. 2006.

- B. Beferull-Lozano and A. Ortega, Efficient Quantization for Overcomplete Expansions in R^N, IEEE Transactions on Information Theory, Vol. 49, No. 1, pp. 129-150, January, 2003.

Research interests

Prof. Beferull-Lozano carries out fundamental and applied research on these topics: a) data science and machine learning, b) in-network signal processing and collective intelligence, c) artificial intelligence for next generation wireless networks and cyber-physical systems. His work is highly interdisciplinary, covering Theory, Algorithms and Testbed implementation for different application scenarios. 

This research generates direct impact on multiple applications, such as optimization of oil and gas production platforms, optimization of drilling operations, water distribution networks, Aquaponics, cyber-physical systems for Industry 4.0, next generation wireless networks, brain signal processing and communications, traffic management of unmanned aerial vehicles (e.g. drones), networked collaborative robots, networked finance systems, smart energy systems and management, environmental monitoring, digital manufacturing, transportation networks and biological networks, to name a few.

Academic interests

Current courses at University of Agder:

In addition, Prof. Beferull-Lozano has taught courses and given invited seminars in different areas (Wireless Sensor Networks, Advanced Signal Processing, Information Theory, Data Analytics and Machine Learning, Wireless Communications), at several other Institutions world-wide, such as: UCLA, AT&T Shannon Labs, Univ. of British Columbia, Deutsche Telekom, California Institute of Technology, Univ. of California San Diego, Jet Propulsion Laboratory (NASA), NTNU, KTH, University of Valencia, University Pompeu Fabra, Polytechnic University of Catalonia, Polytechnic University of Madrid, University of Crete, University of Navarra, University of Vigo, University of Coruña.

Projects

Prof. Beferull is leading the Center Intelligent Signal Processing and Wireless Networks (WISENET) at University of Agder (UiA), created in 2015 with the following three-fold mission:

  • To perform both theoretical and applied research of high international impact.
  • To provide advanced postgraduate education and training
  • To perform an effective technology transfer of high quality to established, SME and start-up companies

Prof. Beferull-Lozano carries out fundamental and applied research on these topics:

  • Data science and Machine Learning
  • In-network signal processing and Collective Intelligence
  • Artificial intelligence for next generation wireless networks and cyber-physical systems.

His work is highly interdisciplinary, covering Theory, Algorithms and Testbed implementation for different application scenarios.  

This research generates direct impact on multiple applications, such as optimization of oil and gas production platforms, optimization of drilling operations, water distribution networks, Aquaponics, cyber-physical systems for Industry 4.0, next generation wireless networks, brain signal processing and communications, traffic management of unmanned aerial vehicles (e.g. drones), networked finance systems, smart energy systems and management, environmental monitoring, digital manufacturing, transportation networks and biological networks (e.g. protein networks), to name a few.

WISENET includes also several PhD students and Postdoctoral researchers, see WISENET web site

Selected Present and Past Main Projects as Coordinator and/or Principal Investigator (PI)

1) Collective Efficient Deep Learning and Networked Control for Multiple Collaborative Robot Systems (DEEPCOBOT), 01/2020 – 01/2025, Research Council of Norway, PI.

2) Data-driven cyber-physical systems for autonomous cognitive control and adaptive learning in industrial and urban environments (INDURB), 01/2018 – 03/2022, Research Council of Norway, Coordinator, PI.

3) Next Generation Wireless Devices and Networks enabled by Self-Organized Spectrum Cartography (WISECART), FRIPRO TOPPFORSK Research Award Program, Research Council of Norway, 5/2016 - 5/2022, Role: Coordinator and Leader of all WPs.

4) 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, Role: Coordinator and Leader of all WPs. 

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

6) Reconfigurable Radio Network Platform (ReRaNP),Research Council of Norway, 10/2015 – 10/2020, Role: PI and Leader of WP dedicated to heterogeneous Wireless Sensor Networks.

7) Autonomous Control of Large-scale Water Treatment Plants based on Self-Organized Wireless BioMEM Sensor and Actuator Networks (HYDROBIONETS), European Commission FP7-ICT (Objective: Cyber-Physical Systems), 10/2011 – 10/2014, Role: Coordinator and Leader of WP In-network Distributed Intelligence for Wireless BioMEM sensor networks.

8) Foundations and Methodologies for Future Communication and Sensor Networks(COMONSENS), SpanishMinistry of Science and Innovation, CONSOLIDER Programme (Top Research Programme in Spain across all disciplines), 1/2009 -12/2014, Role: PI and Leader of WP Distributed communications and Wireless Sensor Network Testbed design.

9) Cooperative and Cognitive Strategies for Interference Management in Wireless Communication Networks (COSIMA), 1/2011-12/2014, Role: PI and Leader of WP Distributed communications and Wireless Sensor Network Testbed design. 

10) Sensor Network for Dynamic and Cognitive Radio Access (SENDORA), European Commission FP7-ICT (Objective: Future Networks),01/2008 - 12/2010, Role: PI and Leader of WP Cross-layer protocol design for spectrum sensing and resource allocation in Cognitive radios 

11) Wireless Sensor Networks for Cognitive Software Radios (WISERNETS),European Commission, FP7-MC, 01/2011 - 12/2012, Role: Coordinator and Leader of WPs on distributed detection, resource allocation and implementation for the Software Defined Radios.

12) Collaborative signal processing for efficient wireless sensor networks (ASPIRE),European Commission,FP6-MC-ToK, 09/2006 - 09/2010, Role: PI and Leader of WP Distributed Inference. 

13) Self-Organized Communications for Wireless Sensor Networks, Spanish Ministry of Education and Science, 01/2007 - 01/2010, Role: Coordinator and Leader of the various WPs (distributed sampling, in-network inference, self-organized communications and testbed design).

Scientific publications

  • Vinod, Dinsha; Zhou, Jing; Beferull-Lozano, Baltasar; Cenkeramaddi, Linga Reddy (2024). Event-Triggered Control for a Fog Computing Platform with AI-based Inference. IEEE Xplore Digital Library. doi:10.1109/ICIT58233.2024.10540954.
  • Singh, Jayant; Zhou, Jing; Beferull-Lozano, Baltasar; Yan, Shijun; Khan, Shalman (2024). Haptic Teleoperation Framework for Learning Task Space Fine Manipulation Skills. IEEE Conference on Industrial Electronics and Applications. ISSN: 2158-2297. doi:10.1109/ICIEA61579.2024.10665270.
  • Nama, Ajay Nagendra; Beferull-Lozano, Baltasar; Saad, Leila Ben; Zhou, Jing (2024). Node-Variant Graph Filter Based Multi-Agent Deep Reinforcement Learning for Aligned Game and Wireless Environments. IEEE Conference on Industrial Electronics and Applications. ISSN: 2158-2297. 19doi:10.1109/ICIEA61579.2024.10665191.
  • Moreno, Emilio Ruiz; Lopez-Ramos, Luis M.; Beferull-Lozano, Baltasar (2023). A Trainable Approach to Zero-Delay Smoothing Spline Interpolation. IEEE Transactions on Signal Processing. ISSN: 1053-587X. 71s 4317 - 4329. doi:10.1109/TSP.2023.3329946.
  • Moreno, Emilio Ruiz; Beferull-Lozano, Baltasar (2023). An Online Multiple Kernel Parallelizable Learning Scheme. IEEE Signal Processing Letters. ISSN: 1070-9908. 31s 121 - 125. doi:10.1109/LSP.2023.3343185.
  • Ghari, Siavash Mollaebrahim; Beferull-Lozano, Baltasar (2023). Distributed Linear Network Operators Based on Successive Graph Shift Matrices. IEEE Transactions on Signal and Information Processing over Networks. ISSN: 2373-7778. 9s 315 - 328. doi:10.1109/TSIPN.2023.3271148.
  • Singh, Jayant; Zhou, Jing; Beferull-Lozano, Baltasar (2023). Enhancing Multi-Agent Reinforcement Learning: Set Function Approximation and Dynamic Policy. Proceedings of the Annual Conference of the IEEE Industrial Electronics Society (IECON). ISSN: 1553-572X.
  • Jaiswal, Rahul Kumar; Elnourani, Mohamed; Deshmukh, Siddharth; Beferull-Lozano, Baltasar (2023). Location-free Indoor Radio Map Estimation using Transfer learning. 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring). ISBN: 979-8-3503-1114-3. IEEE conference proceedings. Chapter.
  • Nama, Ajay Nagendra; Saad, Leila Ben; Beferull-Lozano, Baltasar; Zhou, Jing (2023). Neighborhood Graph Filters Based Graph Convolutional Neural Networks for Multi-Agent Deep Reinforcement Learning. IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society. ISBN: 979-8-3503-3182-0. IEEE (Institute of Electrical and Electronics Engineers). Chapter.
  • Singh, Aditya; Redhu, Surender; Beferull-Lozano, Baltasar; Hegde, Rajesh M. (2023). Network-aware RF-energy harvesting for designing energy efficient IoT networks. Internet of Things: Engineering Cyber Physical Human Systems. ISSN: 2542-6605. 22doi:10.1016/j.iot.2023.100770.
  • Zaman, Bakht; Lopez-Ramos, Luis M.; Beferull-Lozano, Baltasar (2023). Online Joint Topology Identification and Signal Estimation From Streams With Missing Data. IEEE Transactions on Signal and Information Processing over Networks. ISSN: 2373-7778. 9s 691 - 704. doi:10.1109/TSIPN.2023.3324569.
  • Money, Rohan Thekkemarickal; Krishnan, Joshin Parakkulangarayil; Beferull-Lozano, Baltasar; Isufi, Elvin (2023). Scalable and Privacy-Aware Online Learning of Nonlinear Structural Equation Models. IEEE Open Journal of Signal Processing. ISSN: 2644-1322. 4s 61 - 70. doi:10.1109/OJSP.2023.3241580.
  • Krishnan, Joshin Parakkulangarayil; Money, Rohan Thekkemarickal; Beferull-Lozano, Baltasar; Isufi, Elvin (2023). Simplicial Vector Autoregressive Model For Streaming Edge Flows. 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ISBN: 978-1-7281-6327-7. IEEE conference proceedings. Chapter.
  • Money, Rohan Thekkemarickal; Krishnan, Joshin Parakkulangarayil; Beferull-Lozano, Baltasar (2023). Sparse Online Learning With Kernels Using Random Features for Estimating Nonlinear Dynamic Graphs. IEEE Transactions on Signal Processing. ISSN: 1053-587X. 71s 2027 - 2042. doi:10.1109/TSP.2023.3282068.
  • Kumar, Sarang; Elnourani, Mohamed; Beferull-Lozano, Baltasar; Redhu, Surender (2022). A Deep Learning-Based Channel Aware Single Step Signal Detection in Downlink Multi-User NOMA. 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). ISBN: 978-1-6654-5468-1. IEEE conference proceedings. Chapter.
  • Sironja, Poorva; Redhu, Surender; Hegde, Rajesh M.; Beferull-Lozano, Baltasar (2022). Cluster-based 3D-Beam Power Management in Resource-Constrained Wireless Networks. 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS). ISBN: 978-1-6654-2104-1. IEEE conference proceedings. Chapter. s 590 - 594.
  • Jaiswal, Rahul Kumar; Elnourani, Mohamed; Deshmukh, Siddharth; Beferull-Lozano, Baltasar (2022). Deep Transfer Learning Based Radio Map Estimation for Indoor Wireless Communications. 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC). ISBN: 978-1-6654-9455-7. IEEE conference proceedings. Chapter.
  • Lopez-Ramos, Luis M.; Roy, Kevin; Beferull-Lozano, Baltasar (2022). Explainable Nonlinear Modelling of Multiple Time Series with Invertible Neural Networks. Intelligent Technologies and Applications: 4th International Conference, INTAP 2021, Grimstad, Norway, October 11–13, 2021, Revised Selected Papers. ISBN: 978-3-031-10524-1. Springer. chapter. s 17 - 30.
  • Cardenas, Juan Diego; Elnourani, Mohamed Gafar Ahmed; Beferull-Lozano, Baltasar (2022). Forecasting Aquaponic Systems Behaviour With Recurrent Neural Networks Models. Proceedings of the Northern Lights Deep Learning Workshop. 3doi:10.7557/18.6236.
  • Roy, Kevin; Lopez Ramos, Luis Miguel; Beferull-Lozano, Baltasar (2022). Joint Signal Estimation and Nonlinear Topology Identification from Noisy Data with Missing Entries. 2022 56th Asilomar Conference on Signals, Systems, and Computers. ISBN: 978-1-6654-5906-8. IEEE conference proceedings.
  • Singh, Jayant; Zhou, Jing; Beferull-Lozano, Baltasar; Tyapin, Ilya (2022). Learning Cooperative Multi-Agent Policies with Multi-Channel Reward Curriculum Based Q-Learning. Proceedings of the Annual Conference of the IEEE Industrial Electronics Society (IECON). ISSN: 1553-572X. doi:10.1109/IECON49645.2022.9969046.
  • Saad, Leila Ben; Nama, Ajay Nagendra; Beferull-Lozano, Baltasar (2022). Neighborhood Graph Neural Networks under Random Perturbations and Quantization Errors. 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC). ISBN: 978-1-6654-9455-7. IEEE conference proceedings. Chapter.
  • Money, Rohan Thekkemarickal; Krishnan, Joshin Parakkulangarayil; Beferull-Lozano, Baltasar; Isufi, Elvin (2022). Online Edge Flow Imputation on Networks. IEEE Signal Processing Letters. ISSN: 1070-9908. 30s 115 - 119. doi:10.1109/LSP.2022.3221846.
  • Money, Rohan Thekkemarickal; Krishnan, Joshin Parakkulangarayil; Beferull-Lozano, Baltasar (2022). Online Joint Nonlinear Topology Identification and Missing Data Imputation over Dynamic Graphs. 30th European Signal Processing Conference (EUSIPCO 2022). ISBN: 978-90-827970-9-1. European Association for Signal Processing. Chapter. s 687 - 691.
  • 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.
  • Elnourani, Mohamed; Deshmukh, Siddharth; Beferull-Lozano, Baltasar (2022). Resource Allocation for Underlay Interfering D2D Networks With Multiantenna and Imperfect CSI. IEEE Transactions on Communications. ISSN: 0090-6778. 70 (9). s 6066 - 6082. doi:10.1109/TCOMM.2022.3194193.
  • 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.
  • Jaiswal, Rahul Kumar; Deshmukh, Siddharth; Elnourani, Mohamed; Beferull-Lozano, Baltasar (2022). Transfer Learning Based Joint Resource Allocation for Underlay D2D Communications. 2022 IEEE Wireless Communications and Networking Conference (WCNC). ISBN: 978-1-6654-4266-4. IEEE conference proceedings. Chapter. s 1479 - 1484.
  • Redhu, Surender; Singh, Amrendra P.; Hedge, Rajesh M; Beferull-Lozano, Baltasar (2021). A Cluster based Sensor-Selection Scheme for Energy-Efficient Agriculture Sensor Networks. 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC). ISBN: 978-1-7281-9794-4. IEEE conference proceedings. chapter.
  • Bhardwaj, Jyotirmoy; Krishnan, Joshin Parakkulangarayil; Beferull-Lozano, Baltasar (2021). Data-Driven Pump Scheduling for Cost Minimization in Water Networks. 2021 IEEE International Conference on Autonomous Systems (ICAS). ISBN: 978-1-7281-7289-7. IEEE conference proceedings. ST3: Autonomous Control Systems. s 197 - 201.
  • Ghari, Siavash Mollaebrahim; Beferull-Lozano, Baltasar (2021). Design of Asymmetric Shift Operators for Efficient Decentralized Subspace Projection. IEEE Transactions on Signal Processing. ISSN: 1053-587X. 69s 2056 - 2069. doi:10.1109/TSP.2021.3066787.
  • Elnourani, Mohamed; Deshmukh, Siddharth; Beferull-Lozano, Baltasar (2021). Distributed Resource Allocation in Underlay Multicast D2D Communications. IEEE Transactions on Communications. ISSN: 0090-6778. 69 (5). s 3409 - 3422. doi:10.1109/TCOMM.2021.3058374.
  • Sharan, Ravi; Deshmukh, Siddharth; Pillai, Sibi Raj B.; Beferull-Lozano, Baltasar (2021). Energy Efficient AoI Minimization in Opportunistic NOMA/OMA Broadcast Wireless Networks. IEEE Transactions on Green Communications and Networking (ITGCN). 6 (2). s 1009 - 1022. doi:10.1109/TGCN.2021.3135351.
  • 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.
  • Money, Rohan Thekkemarickal; Krishnan, Joshin Parakkulangarayil; Beferull-Lozano, Baltasar (2021). Online Non-linear Topology Identification from Graph-connected Time Series. 2021 IEEE Data Science and Learning Workshop (DSLW). ISBN: 978-1-6654-2825-5. IEEE conference proceedings. chapter.
  • Saad, Leila Ben; Beferull-Lozano, Baltasar; Isufi, Elvin (2021). Quantization Analysis and Robust Design for Distributed Graph Filters. IEEE Transactions on Signal Processing. ISSN: 1053-587X. doi:10.1109/TSP.2021.3139208.
  • Saad, Leila Ben; Beferull-Lozano, Baltasar (2021). Quantization in Graph Convolutional Neural Networks. 2021 29th European Signal Processing Conference (EUSIPCO). ISBN: 978-9-0827-9706-0. IEEE conference proceedings. chapter.
  • Money, Rohan Thekkemarickal; Krishnan, Joshin Parakkulangarayil; Beferull-Lozano, Baltasar (2021). Random Feature Approximation for Online Nonlinear Graph Topology Identification. Machine Learning for Signal Processing. ISSN: 1551-2541. doi:10.1109/MLSP52302.2021.9596512.
  • Moreno, Emilio Ruiz; Beferull-Lozano, Baltasar (2021). Tracking of Quantized Signals Based on Online Kernel Regression. Machine Learning for Signal Processing. ISSN: 1551-2541. doi:10.1109/MLSP52302.2021.9596115.
  • Ben Saad, Leila; Beferull-Lozano, Baltasar (2020). Accurate Graph Filtering in Wireless Sensor Networks. IEEE Internet of Things Journal. ISSN: 2327-4662. doi:10.1109/JIOT.2020.3010610.
  • Jha, Ajit; Subedi, Dipendra; Løvsland, Per-Ove; Tyapin, Ilya; Cenkeramaddi, Linga Reddy; Beferull-Lozano, Baltasar; Hovland, Geir (2020). Autonomous mooring towards autonomous maritime navigation and offshore operations. 15th IEEE Conference on Industrial Electronics and Applications. ISBN: 978-1-7281-5168-7. Institute of Electrical and Electronics Engineers (IEEE). KAPITTEL. s 1171 - 1175.
  • Lopez Ramos, Luis Miguel; Teganya, Yves; Beferull-Lozano, Baltasar; Kim, Seung-Jun (2020). Channel Gain Cartography via Mixture of Experts. 2020 IEEE Global Communications Conference (GLOBECOM). ISBN: 978-1-7281-8298-8. IEEE. chapter.
  • Ghari, Siavash Mollaebrahim; Beferull-Lozano, Baltasar; Moreno, Emilio Ruiz (2020). Decentralized Subspace Projection for Asymmetric Sensor Networks. IEEE Vehicular Technology Conference (VTC). ISSN: 1090-3038. doi:10.1109/VTC2020-Fall49728.2020.9348681.
  • Deka, Kuntal; Priyadarsini, Minerva; Sharma, Sanjeev; Beferull-Lozano, Baltasar (2020). Design of SCMA Codebooks using Differential Evolution. IEEE/CIC International Conference on Communications in China - Workshops (CIC/ICCC). ISSN: 2474-9133. doi:10.1109/ICCWorkshops49005.2020.9145202.
  • Zaman, Bakht; Lopez-Ramos, Luis M.; Beferull-Lozano, Baltasar (2020). Dynamic Regret Analysis for Online Tracking of Time-varying Structural Equation Model Topologies. Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications(ICIEA 2020). ISBN: 978-1-7281-5168-7. IEEE conference proceedings. Paper 1598. s 939 - 944.
  • 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.
  • Sharma, Sanjeev; Deka, Kuntal; Beferull-Lozano, Baltasar (2020). Low-complexity detection for uplink massive MIMO SCMA systems. IET Communications. ISSN: 1751-8628. s 51 - 59. doi:10.1049/cmu2.12057.
  • Lopez-Ramos, Luis M.; Beferull-Lozano, Baltasar (2020). Online Hyperparameter Search Interleaved with Proximal Parameter Updates. 28th European Signal Processing Conference (EUSIPCO 2020). ISBN: 978-9-0827-9705-3. European Signal Processing Conference. Paper 1924. s 2085 - 2089.
  • 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 (2020). Reliable Multicast D2D Communication over Multiple Channels in Underlay Cellular Networks. IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops. ISSN: 2166-9570. doi:10.1109/PIMRC48278.2020.9217293.
  • Elnourani, Mohamed; Deshmukh, Siddharth; Beferull-Lozano, Baltasar (2020). Reliable Underlay D2D Communications over Multiple Transmit Antenna Framework. ICC 2020 - 2020 IEEE International Conference on Communications (ICC). ISBN: 978-1-7281-5089-5. IEEE. Chapter.
  • 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.
  • Asensio-Marco, César; Alonso-Román, Daniel; Beferull-Lozano, Baltasar (2019). Cross-layer MAC Protocol for Unbiased Average Consensus under Random Interference. IEEE Transactions on Signal and Information Processing over Networks. ISSN: 2373-7778. 5 (2). s 320 - 333. doi:10.1109/TSIPN.2018.2873070.
  • Frøytlog, Anders; Haglund, Magne Arild; Cenkeramaddi, Linga Reddy; Beferull-Lozano, Baltasar (2019). Design and implementation of a long-range low-power wake-up radio and customized DC-MAC protocol for LoRaWAN. International Symposium on Advanced Networks and Telecommunication Systems (ANTS). ISSN: 2153-1676. 2019-doi:10.1109/ANTS47819.2019.9118165.
  • Frøytlog, Anders; Haglund, Magne Arild; Cenkeramaddi, Linga Reddy; Beferull-Lozano, Baltasar (2019). Design and implementation of a long-range low-power wake-up radio and customized DC-MAC protocol for LoRaWAN. 13th IEEE International Conference on Advanced Networks and Telecommunications Systems, 2019 (IEEE ANTS 2019). ISBN: 978-1-7281-3715-5. IEEE conference proceedings. KAPITTEL. s 1 - 5.
  • Frøytlog, Anders; Haglund, Magne Arild; Cenkeramaddi, Linga Reddy; Jordbru, Thomas; Kjellby, Rolf Arne; Beferull-Lozano, Baltasar (2019). Design and implementation of a long-range low-power wake-up radio for IoT devices. 2019 IEEE 5th World Forum on Internet of Things (WF-IoT). ISBN: 978-1-5386-4980-0. IEEE conference proceedings. chapter.
  • Ghari, Siavash Mollaebrahim; Romero, Daniel; Beferull-Lozano, Baltasar (2019). Fast Decentralized Linear Functions via Successive Graph Shift Operators. arXiv.org. ISSN: 2331-8422.
  • Ben Saad, Leila; Beferull-Lozano, Baltasar (2019). Graph Filtering of Time-Varying Signals over Asymmetric Wireless Sensor Networks. 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). ISBN: 978-1-5386-6528-2. IEEE conference proceedings. chapter.
  • Ben Saad, Leila; Isufi, Elvin; Beferull-Lozano, Baltasar (2019). Graph Filtering with Quantization over Random Time-varying Graphs. 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP). ISBN: 978-1-7281-2723-1. IEEE conference proceedings. chapter.
  • 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.
  • Kjellby, Rolf Arne; Cenkeramaddi, Linga Reddy; Frøytlog, Anders; Beferull-Lozano, Baltasar; Soumya, J.; Bhange, Meghana (2019). Long-range & Self-powered IoT Devices for Agriculture & Aquaponics Based on Multi-hop Topology. 2019 IEEE 5th World Forum on Internet of Things (WF-IoT). ISBN: 978-1-5386-4980-0. IEEE conference proceedings. chapter.
  • Idsøe, Henning; Cenkeramaddi, Linga Reddy; J, Soumya; Beferull-Lozano, Baltasar (2019). Phase-noise Impact on the Performance of mmWave-RADARs. 13th IEEE International Conference on Advanced Networks and Telecommunications Systems, 2019 (IEEE ANTS 2019). ISBN: 978-1-7281-3715-5. IEEE conference proceedings. KAPITTEL. s 1 - 6.
  • Idsoe, Henning; Cenkeramaddi, Linga Reddy; Beferull-Lozano, Baltasar; Soumya, J. (2019). Phase-noise Impact on the Performance of mmWave-radars. International Symposium on Advanced Networks and Telecommunication Systems (ANTS). ISSN: 2153-1676. 2019-doi:10.1109/ANTS47819.2019.9117975.
  • 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.
  • Asensio-Marco, César; Beferull-Lozano, Baltasar (2018). Adaptive Medium Access Control for Distributed Processing in Wireless Sensor Networks. IEEE Transactions on Signal and Information Processing over Networks. ISSN: 2373-7778. 5 (1). s 113 - 126. doi:10.1109/TSIPN.2018.2866324.
  • Alonso, Daniel; Asensio-Marco, César; Beferull-Lozano, Baltasar (2018). Consensus-Based Distributed Detection and State Estimation of Biofilm in Reverse Osmosis Membranes by WSNs. Smart Water Grids. ISBN: 9781351986175. Taylor & Francis. Chapter 2. s 41 - 69.
  • 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.
  • Kjellby, Rolf Arne; Cenkeramaddi, Linga Reddy; Johnsrud, Thor Eirik; Løtveit, Svein Erik; Jevne, Geir; Beferull-Lozano, Baltasar; J, Soumya (2018). Design and Prototype Implementation of Long-range Self-powered Wireless IoT Device. 2018 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS). ISBN: 978-1-5386-9172-4. IEEE conference proceedings. KAPITTEL. s 215 - 218.
  • Kjellby, Rolf Arne; Cenkeramaddi, Linga Reddy; Johnsrud, Thor Eirik; Løtveit, Svein Erik; Jevne, Geir; Beferull-Lozano, Baltasar; J, Soumya; Frøytlog, Anders; Jordbru, Thomas; Bhange, Meghana (2018). Design, Development and Deployment of Low-cost Short-range Self-powered Wireless IoT Devices. 2018 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS). ISBN: 978-1-5386-9172-4. IEEE conference proceedings. KAPITTEL. s 104 - 107.
  • 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.
  • Asensio-Marco, César; Beferull-Lozano, Baltasar (2018). Energy Efficient Consensus Over Directed Graphs. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ISBN: 978-1-5386-4658-8. IEEE conference proceedings. chapter. s 4124 - 4128.
  • 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.
  • Hamid, Mohamed; Beferull-Lozano, Baltasar (2018). Joint Topology and Radio Resource Optimization for Device-to-Device Based Mobile Social Networks. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ISBN: 978-1-5386-4658-8. IEEE conference proceedings. chapter. s 3789 - 3793.
  • 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.
  • Kjellby, Rolf Arne; Johnsrud, Thor Eirik; Løtveit, Svein Erik; Cenkeramaddi, Linga Reddy; Hamid, Mohamed; Beferull-Lozano, Baltasar (2018). Self-Powered IoT Device for Indoor Applications. VLSI Design. ISSN: 1063-9667. 2018-Januarys 455 - 456. doi:10.1109/VLSID.2018.110.
  • Kjellby, Rolf Arne; Johnsrud, Thor Eirik; Løtveit, Svein Erik; Cenkeramaddi, Linga Reddy; Mohamed, Hamid; Beferull-Lozano, Baltasar (2018). Self-Powered IoT Device for Indoor and Outdoor Applications. 2018 31st International Conference on VLSI Design and 2018 17th International Conference on Embedded Systems (VLSID). ISBN: 978-1-5386-3692-3. IEEE conference proceedings. KAPITTEL. s 455 - 456.
  • Kjellby, Rolf Arne; Cenkeramaddi, Linga Reddy; Johnsrud, Thor Eirik; Løtveit, Svein Erik; Jevne, Geir; Beferull-Lozano, Baltasar; J, Soumya (2018). Self-powered IoT Device based on Energy Harvesting for Remote Applications. 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). ISBN: 978-1-5386-8134-3. IEEE conference proceedings. chapter.
  • Ben Saad, Leila; Beferull-Lozano, Baltasar (2018). Stochastic Graph Filtering under Asymmetric Links in Wireless Sensor Networks. 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). ISBN: 978-1-5386-3512-4. IEEE conference proceedings. chapter.
  • 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.
  • Alonso, Daniel; Asensio-Marco, César; Beferull-Lozano, Baltasar (2017). Consensus-Based Distributed State Estimation of Biofilm in Reverse Osmosis Membranes by WSNs. Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks. ISBN: 9781450349758. Association for Computing Machinery (ACM). chapter. s 7 - 10.
  • Idsøe, Henning; Hamid, Mohamed; Cenkeramaddi, Linga Reddy; Jordbru, Thomas; Beferull-Lozano, Baltasar (2017). Experimental validation for spectrum cartography using adaptive multi-kernels. 2017, 11th International Conference on Signal Processing and Communication Systems (ICSPCS). ISBN: 978-1-5386-2887-4. IEEE conference proceedings. Chapter.
  • Ramezani-Mayiami, Mahmoud; Beferull-Lozano, Baltasar (2017). Graph recursive least squares filter for topology inference in causal data processes. Computational Advances in Multi-Sensor Adaptive Processing, IEEE 7th International Workshop on (CAMSAP). ISBN: 978-1-5386-1251-4. IEEE conference proceedings. chapter.
  • Jordbru, Thomas; Hamid, Mohamed; Cenkeramaddi, Linga Reddy; Idsøe, Henning; Beferull-Lozano, Baltasar (2017). Implementation of a two stage fully-blind self-adapted spectrum sensing algorithm. 2017, 11th International Conference on Signal Processing and Communication Systems (ICSPCS). ISBN: 978-1-5386-2887-4. IEEE conference proceedings. Chapter.
  • 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.
  • Jordbru, Thomas; Idsøe, Henning; Cenkeramaddi, Linga Reddy; Beferull-Lozano, Baltasar; Hamid, Mohamed (2017). Radio measurements on a customized software defined radio module: A case study of energy detection spectrum sensing. 2017 IEEE International Instrumentation and Measurement Technology Conference. ISBN: 9781509035977. IEEE conference proceedings. IEEE Conference Proceedings.
  • Idsøe, Henning; Hamid, Mohamed; Jordbru, Thomas; Cenkeramaddi, Linga Reddy; Beferull-Lozano, Baltasar (2017). Spectrum cartography using adaptive radial basis functions: Experimental validation. 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2017). ISBN: 978-1-5090-3008-8. IEEE conference proceedings. chapter.
  • Ben Saad, Leila; Asensio-Marco, César; Beferull-Lozano, Baltasar (2017). Topology design to reduce energy consumption of distributed graph filtering in WSN. 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP 2017). ISBN: 978-1-5090-5990-4. IEEE Signal Processing Society. chapter. s 608 - 612.
  • Alonso, Daniel; Beferull-Lozano, Baltasar (2016). Adaptive consensus-based distributed detection in WSN with unreliable links. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. ISSN: 1520-6149. 2016-Mays 4438 - 4442. doi:10.1109/ICASSP.2016.7472516.
  • Tsagkatakis, Grigoris; Beferull-Lozano, Baltasar; Tsakalides, Panagiotis (2016). Singular spectrum-based matrix completion for time series recovery and prediction. EURASIP Journal on Advances in Signal Processing. ISSN: 1687-6172. 2016 (1). doi:10.1186/s13634-016-0360-0.
  • Alustiza, Iker; Crespo, Pedro M.; Beferull-Lozano, Baltasar (2015). Analog multiple description joint source-channel coding based on lattice scaling. IEEE Transactions on Signal Processing. ISSN: 1053-587X. 63 (12). s 3046 - 3061. doi:10.1109/TSP.2015.2416676.
  • Chowdappa, Vinay-Prasad; Botella, Carmen; Beferull-Lozano, Baltasar (2015). Distributed clustering algorithm for spatial field reconstruction in wireless sensor networks. IEEE Vehicular Technology Conference (VTC) Proceedings. ISSN: 1550-2252. 2015doi:10.1109/VTCSpring.2015.7145783.
  • Asensio-Marco, César; Beferull-Lozano, Baltasar (2015). Energy efficient Consensus over Complex Networks. IEEE Journal on Selected Topics in Signal Processing. ISSN: 1932-4553. 9 (2). s 292 - 303. doi:10.1109/JSTSP.2014.2370932.
  • Shah, Santosh; Beferull-Lozano, Baltasar (2013). Joint Sensor Selection and Multihop Routing forDistributed Estimation in Ad-hoc Wireless Sensor Networks. IEEE Transactions on Signal Processing. ISSN: 1053-587X. 61 (24). s 6355 - 6370. doi:10.1109/TSP.2013.2284486.
  • Tsakalides, Panagiotis; Beferull-Lozano, Baltasar (2017). Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks. ISBN: 9781450349758. Association for Computing Machinery (ACM). s 50.
  • Tsakalides, P.; Beferull-Lozano, Baltasar (2015). Proceedings of the 1st ACM International Workshop on Cyber-Physical Systems for Smart Water Networks. ISBN: 978-1-4503-3485-3. ACM Digital Library.

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Last changed: 28.01.2024 16:01