Journal Papers

• K. Roy, L. M. Lopez-Ramos, B. Beferull-Lozano, “Efficient Interpretable Nonlinear Modeling for Multiple Time Series”, Submitted to IEEE Transactions on Signal Processing, 2024.
• E. Ruiz, L. M. López-Ramos, B. Beferull-Lozano, “Zero-delay Consistent Signal Reconstruction from Streamed Multi-variate time-series”, Submitted to IEEE Transactions on Signal Processing, 2024.
• R. Jaiswal, M. Elnourani, S. Deshmukh and B. Beferull-Lozano, “A Data-driven Transfer Learning Method for Indoor Radio Map Estimation”, Submitted to IEEE Transactions on Communications, 2024.
• E. Ruiz, B. Beferull-Lozano, “An Online Multiple Kernel Parallelizable Learning Scheme”, IEEE Signal Processing Letters, Vol. 31, pp.121-125, 2023.
• E. Ruiz-Moreno, 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.
• J. Bhardwaj, B. Beferull-Lozano, H. Liltved,  “Energy-efficient online control of water distribution networks based on Deep Reinforcement Learning“, Submitted to IEEE Internet of Things Journal, 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. 8, pp. 315-328, 2023.
• R. T. 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.
• 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.
• 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, D. Romero, “Robust Sum-Rate Maximization for Underlay Device-to-Device Communications on Multiple Channels”, IEEE Transactions on Vehicular Technology, Vol. 71, pp. 3075 – 3091, 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, 2022.
• 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.
• S. Mollaebrahim, B. Beferull-Lozano, “Design of Asymmetric Shift Operators for Efficient Decentralized Subspace Projection”, IEEE Transactions on Signal Processing, Vol. 69, pp. 2056-2069, 2021.
• J. Bhardwaj, J. Krishnan, D. Larios, B. Beferull-Lozano, L. R. Cenkeramaddi,  C. Harman, “Cyber-physical systems for smart water networks: A Review”, IEEE Sensors, Vol. 21, no. 23, pp. 26447-26469, 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 [Code implementation].
• 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 [Code implementation].
• 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, June 2016.
• 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.
• C. Asensio, B. Beferull-Lozano, “Energy efficient Consensus over Complex Networks”, IEEE Journal of Selected Topics in Signal Processing, March 2015.
• S. Shah, B. Beferull-Lozano, “Joint Sensor Selection and Multi-hop Routing for Distributed Estimation in Ad-hoc Wireless Sensor Networks”, IEEE Transactions on Signal Processing, Vol. 61, no. 24, Dec 2013.
• 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, 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, 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, November 2012.
• B. Beferull-Lozano, R. Konsbruck, “On Multiterminal source coding for temperature sensing in shift-invariant geometries”, IEEE Transactions on Communications, Vol. 59, no. 4, February 2011.
• T. Lambrou, C. G. Panayiotou, S. Felici-Castell, B. Beferull-Lozano, “Exploiting mobility for efficient coverage in sparse wireless sensor networks”, Wireless Personal Communications, Vol. 54, no. 1, July 2010.
• G. Tzagkarakis, B. Beferull-Lozano and P. Tsakalides, “Rotation-Invariant Texture retrieval via Signature Alignment based on Steerable Sub-gaussian modelling”, IEEE Transactions on Image Processing, Vol. 17, no. 7, July 2008.
• V. Velisavljevic, B. Beferull-Lozano, M. Vetterli, “Space-Frequency Quantization for Image Compression with Directionlets”, IEEE Transactions on Image Processing, Vol. 16, no. 7, July 2007.
• R. Cristescu and B. Beferull-Lozano, “Lossy Network Correlated Data Gathering with High-Resolution Coding”, IEEE Transactions on Information Theory, Vol. 52, no. 6, June 2006.
• 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, September 2006.
• V. Velisavljevic, B. Beferull-Lozano, M. Vetterli and P.L. Dragotti, “Directionlets: Anisotropic Multidirectional Representation with Separable Filtering”, IEEE Transactions on Image Processing, Vol. 15, no. 7, July 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, May 2006.
• G. Barrenechea, B. Beferull-Lozano and M. Vetterli, “Lattice Networks: Capacity Limits, Optimal Routing and Queueing behavior”. IEEE/ACM Transactions on Networking, Vol. 14, no. 3, June 2006.
• I. Jovanovic and 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. 5, May 2006.
• 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, February 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, December 2005.
• R. Cristescu, B. Beferull-Lozano and M. Vetterli, “On Network Correlated Data Gathering”, INFOCOM, 2004.
• N.J.A. Sloane and B. Beferull-Lozano, “Quantizing using lattice intersections”, Discrete and Computational Geometry, Vol. 25, pp. 799-824, June 2003.
• 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.

In-preparation Submissions

• M. Kongshavn, T. Maseng, B. Beferull-Lozano, M. Skjegstad, “A decentralized clustering approach for organizing Wi-Fi networks into clusters”, To be Submitted to IEEE Transactions on Communications, 2024.

Book chapters and edited volumes

• A. N. Nama, B. Beferull-Lozano, L. Ben Saad, J. Zhou, “Node-Variant Graph Filter Based Multi-Agent Deep Reinforcement Learning for Aligned Game and Wireless Environments”, IEEE ICIEA, 2024.
• J. Singh, J. Zhou, B. Beferull-Lozano, S. Yan, S. Ghori, “Haptic Teleoperation Framework for Learning Task Space Fine Manipulation Skills”, IEEE ICIEA, 2024.
• D. Vinod, J. Zhou, B. Beferull-Lozano and L. R. Cenkeramaddi, “Event- Triggered Control for a Fog Computing Platform with AI-based Inference,”, IEEE ICIT, 2024.
• A. Singh, S. Redhu, B. Beferull-Lozano, R. M. Hegde, “Network-Aware RF-Energy Harvesting for Designing Energy Efficient IoT Networks”, Elsevier Internet of Things, Vol. 22, 2023.
• S. Sharma, K. Deka, B. Beferull-Lozano, “Low-complexity detection for uplink massive MIMO SCMA systems”, IET Communications, John Wiley & Sons Ltd, 2020.
• D. Alonso, C. Asensio, B. Beferull-Lozano, “Consensus-based distributed detection and state estimation of biofilm formation and evolution in reverse osmosis membranes by wireless sensor networks”,  Water Smart Grids: A Cyber-Physical approach, CRC Press, 2018.
• G. Tzagkarakis, G. Tsagkatakis, D. Alonso, E. Celada, C. Asensio, A. Panousopoulou, P. Tsakalides, B. Beferull-Lozano,  “Signal and Data Processing Techniques for Industrial Cyber-Physical Systems”, Cyber-Physical Systems: From Theory to Practice, 1st edited by D.B. Rawat, J. Rodrigues, I. Stojmenovic, January 2015; CRC Press, US.
• X. Insausti, P. Crespo, B. Beferull, J. Del Ser, “Concurrent and Distributed Projection through Local Interference for Wireless Sensor Networks”, Mobile Lightweight Wireless Systems, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 81, pp. 109-119, 2011, Springer.
• V. Velisavljevic, M. Vetterli, B. Beferull, P.L. Dragotti, Sparse Image Representation by Directionlets. Elsevier Advances in Imaging and Electron Physics, editor Peter Hawkes, vol. 161-04, pp. 147-209, March 2010.
• R. Cristescu, B. Beferull-Lozano and M. Vetterli, Networked Slepian-Wolf: Theory and Algorithms, Edited Volume in Springer Verlag, Lecture Notes in Computer Science, Vol. 2920, Eds. H. Karl, A. Willig, A. Wolisz, January 2004.

Conference Papers

• A. N. Nama, L. Ben Saad, B. Beferull-Lozano, J. Zhou, “Neighborhood Graph Filters based Graph Convolutional Neural Networks for Multi-Agent Deep Reinforcement Learning”, IEEE IECON, 2023.
• J. Singh, J. Zhou, B. Beferull-Lozano, “Enhancing Multi-Agent Reinforcement Learning: Set Function Approximation and Dynamic Policy Adaptation”, IEEE IECON, 2023.
• R. Jaiswal, M. Elnourani, S. Deshmukh, B. Beferull-Lozano, “Location-free Indoor Radio Map Estimation using Transfer learning”, IEEE VTC, 2023.
• J. Krishnan, R. Money, B. Beferull-Lozano, E. Isufi, “Simplicial Vector Autoregressive Model for Streaming Edge Flows”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
• K. Roy, L. M. Lopez-Ramos, B. Beferull-Lozano, “Joint Signal Estimation and Nonlinear Topology Identification from Noisy Data with Missing Entries”, IEEE Asilomar Conference on Signals, Systems, and Computers, 2022.
• K. Roy, L. Miguel-Lopez, B. Beferull-Lozano, Joint Learning of Topology and Invertible Non-linearities from Multiple Time Series, IEEE International Conference on Machine Learning, Optimization, and Data Science (ISMODE), 2022 (Best Paper Award).
• J. Cardenas-Cartagena, M. Elnourani, B. Beferull-Lozano, D. Romero, “Risk-Aware Particle-Filtering for State Estimation in Recirculating Aquaculture Systems”, IEEE Asilomar Conference on Signals, Systems, and Computers, 2022.
• J. Singh, J. Zhou, B. Beferull-Lozano, I. Tyapin, “Learning Cooperative Multi-Agent Policies with Multi-Channel Reward Curriculum Based Q-Learning”, IEEE IECON, 2022.
• R. Money, J. Krishnan, B. Beferull-Lozano, “Online joint non-linear topology identification and missing data imputation over dynamic graphs”, EUSIPCO, 2022.
• L. Ben Saad, A. N. Nama, B. Beferull-Lozano, “Neighborhood Graph Neural Networks under Random Perturbations and Quantization Errors”, IEEE International Conference on Signal Processing Advances in Wireless Communications (SPAWC), 2022.
• R. Jaiswal, M. Elnourani, S. Deshmukh, B. Beferull-Lozano, “Deep Transfer Learning Based Radio Map Estimation for Indoor Wireless Communications”, IEEE International Conference on Signal Processing Advances in Wireless Communications (SPAWC), 2022.
• R. K. Jaiswal, S. Deshmukh, M. Elnourani, B. Beferull-Lozano, “Transfer Learning Based Joint Resource Allocation for Underlay D2D Communications”, IEEE Wireless Communications and Networking Conference (WCNC), 2022.
• S. Kumar, M. Elnourani, B. Beferull-Lozano, “A Deep Learning-Based Channel Aware Single Step Signal Detection in Downlink Multi-User NOMA”, IEEE VTC, 2022.
• P. Sironja, S. Redhu, R. M. Hegde, B. Beferull-Lozano, “Cluster-based 3D-Beam Power Management in Resource-Constrained Wireless Networks”, International Conference on Communication Systems and NetworkS (COMSNETS), 2022.
• J. D. Cardenas-Cartagena, B. Beferull-Lozano, M. Elnourani, “Forecasting Aquaponic Systems Behaviour With Recurrent Neural Networks Models”, International NLDL Conference 2022.
• L. M. Lopez, K. Roy, B. Beferull-Lozano, “Explainable nonlinear modelling of multiple time series with invertible neural networks”, International Conference on Intelligent Technologies and Applications (INTAP), 2021.
• E. Ruiz, B. Beferull-Lozano, “Tracking of quantized signals based on online kernel regression”, IEEE Machine Learning for Signal Processing (MLSP), 2021.
• R. Money, J. Krishnan, B. Beferull-Lozano, “Random Feature Approximation for Online Nonlinear Graph Topology Identification”, IEEE Machine Learning for Signal Processing (MLSP), 2021.
• J. Bhardwaj, J. P. Krishnan , B. Beferull-Lozano, “Data-driven pump scheduling for cost minimization in water networks, IEEE International Conference on Autonomous Systems (ICAS), 2021.
• L. Ben Saad, B. Beferull-Lozano, “Quantization in Graph Convolutional Neural Networks”, EUSIPCO 2021.
• R.T. Money, J. P. Krishnan, B. Beferull-Lozano, “Online Non-linear Topology Identification from Graph-connected Time Series”, IEEE Data Science and Learning Workshop (DSLW), 2021 (Best Paper Award).
• S. Mollaebrahim, D. Romero, B. Beferull-Lozano, “Fast Decentralized Linear Functions via Successive Graph Shift Operators”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
• S. Redhu, A. P. Singh, R. M. Hegde, B. Beferull-Lozano, “A Cluster based Sensor-Selection Scheme for Energy-Efficient Agriculture Sensor Networks”, IEEE CNCC 2021.
• L. M. Lopez, B. Beferull-Lozano, “Online hyperparameter search interleaved with proximal parameter updates”, European Signal Processing Conference (EUSIPCO), 2020.
• L. M. Lopez, Y. Teganya, B. Beferull-Lozano, S.-J. Kim, “Channel-Gain Cartography via Mixture of Experts”, IEEE GLOBECOM, 2020.
• S. Mollaebrahim, B. Beferull-Lozano, E. Ruiz, “Decentralized Subspace Projection for Asymmetric Sensor Networks”, IEEE International Vehicular Technology Conference (VTC), 2020.
• M. Elnourani, S.. Deshmukh, B. Beferull-Lozano, “Reliable Multicast D2D Communication over Multiple Channels in Underlay Cellular Networks”, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2020.
• M. Elnourani, S. Deshmukh, B. Beferull-Lozano, “Reliable Underlay D2D Communications over the Multiple Transmit Antenna Framework”, IEEE International Conference on Communications, 2020.
• K. Deka, M. Priyadarsini, S. Sharma, B. Beferull-Lozano, “Design of SCMA Codebooks Using Differential Evolution”, IEEE International Conference on Communications, 2020.
• B. Zaman, L. M. Lopez, B. Beferull-Lozano, “Dynamic Regret Analysis for Online Tracking of Time-varying Structural Equation Model Topologies, IEEE International Conference on Industrial Electronics and Applications, 2020.
• M. Elnourani, S. Deshmukh, B. Beferull-Lozano, D. Romero, “Robust Transmit Beamforming for Underlay D2D Communications on Multiple Channels”, IEEE International Conference on Signal Processing Advances in Wireless Communications (SPAWC), 2020.
• A. Jha, D. Subedi, P.-O. Løvsland, I. Tyapin, L. Reddy Cenkeramaddi, B. Beferull-Lozano, G. Hovland, “Autonomous mooring towards autonomous maritime navigation and offshore operations”. IEEE Conference on Industrial Electronics and Applications (ICIEA), 2020.
• L. Reddy Cenkeramaddi, J. Bhatia, A. Jha, S. Kumar, Soumya J, “A Survey on Sensors for Autonomous Systems”, IEEE International Conference on Industrial Electronics and Applications (ICIEA), 2020.
• V. Bhanu P, V. Govil, Jagadeesh S, Soumya J, L. Reddy Cenkeramaddi, “Novel Fault-Tolerant Routing Technique for ZMesh Topology based Network-on-Chip Design”. IEEE Conference on Industrial Electronics and Applications (ICIEA), 2020.
• V. Bhanu P, Nikita M, Soumya J, L. Reddy Cenkeramaddi, “Fault-Tolerant Application Mapping on to ZMesh topology based Network-on-Chip Design”, IEEE Conference on Industrial Electronics and Applications (ICIEA), 2020.
• H. Idsøe, L. Reddy Cenkeramaddi, Soumya J, B. Beferull Lozano, “Phase-noise Impact on the Performance of mmWave-RADARs”,  IEEE International Conference on Advanced Networks and Telecommunication Systems, 2019.
• A. Frøytlog, M. Haglund, L. Reddy Cenkeramaddi, B. Beferull Lozano, “Design and implementation of a long-range low-power wake-up radio and customized DC-MAC protocol for LoRaWAN”, IEEE International Conference on Advanced Networks and Telecommunication Systems, 2019
• L. Ben Saad, E. Isufi, B. Beferull-Lozano, “Graph Filtering with Quantization over Random Time-varying Graphs”, IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2019.
• L. Ben Saad, B. Beferull-Lozano, “Graph Filtering of Time-Varying Signals over Asymmetric Wireless Sensor Networks”, IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2019.
• M. Elnourani, B. Beferull-Lozano, D. Romero, S. Deshmukh,  “Reliable Underlay Device-to-Device Communications on Multiple Channels”, IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2019.
• R. A. Kjellby, L. R. Cenkeramaddi, B. Beferull-Lozano, S. Joshi, A. Frøytlog, M. Bhange, “Long-range & Self-powered IoT Devices for Agriculture & Aquaponics Based on Multi-hop Topology,” IEEE 5th World Forum on Internet of Things (WF-IoT), 2019.
• A. Frøytlog, M. Haglund, L. R. Cenkeramaddi, T. Jordbru, R. A. Kjellby, B. Beferull-Lozano, “Design and Implementation of a Long-Range Low-Power Wake-Up Radio for IoT Devices”, IEEE 5th World Forum on Internet of Things (WF-IoT), 2019.
• M. Upadhyay, M. Shah, P. V. Bhanu, S. Joshi, L. R. Cenkarmaddiy, “Multi-Application based Network-on-Chip Design for Mesh-of-Tree topology using Global Mapping and Reconfigurable Architecture”, IEEE International Conference on VLSI Design, New Delhi, 2019.
• L. M. Lopez-Ramos, D. Romero, B. Zaman, B. Beferull-Lozano, “Dynamic network identification from non-stationary vector auto-regressive time series”, IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018.
• S. Mollaebrahim, C. Asensio, D. Romero, B. Beferull-Lozano, “Decentralized Subspace Projection in Large Networks”, IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018.
• L. Ben Saad, B. Beferull-Lozano, “Stochastic Graph Filtering under Asymmetric Links in Wireless Sensor Networks”, IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2018.
• Y. Teganya, L. M. Lopez-Ramos, D. Romero, B. Beferull-Lozano, “Localization-Free Power Cartography”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.
• M. Elnourani, M. Hamid, D. Romero, B. Beferull-Lozano, “Underlay Device-to-Device Communications on Multiple Channels”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.
• M. Hamid, B. Beferull-Lozano, “Joint Topology and Radio Resource Optimization for Device-to-Device Based Mobile Social Networks”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.
• T. Weerasinghe, D. Romero, C. Asensio-Marco, B. Beferull-Lozano, “Fast Distributed Subspace Projection via Graph Filters”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.
• C. Asensio-Marco, B. Beferull-Lozano, “Energy efficient consensus over directed graphs”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.
• R. A. Kjellby, T. E. Johnsrud, S. E. Løtveit, L. R. Cenkeramaddi, G. Jevne, B. Beferull-Lozano, S. Joshi, A. Frøytlog, “Design, development and eployment of low-cost short-range self-powered wireless IoT devices”, IEEE International Symposium on Smart Electronic Systems, 2018.
• R. A. Kjellby, T. E. Johnsrud, S. E. Løtveit, L. R. Cenkeramaddi, G. Jevne, B. Beferull-Lozano, S. Joshi, “Design and prototype implementation of long-range self-powered wireless IoT device”, IEEE International Symposium on Smart Electronic Systems, 2018.
• R.A. Kjellby, T.E. Johnsrud, S.E Løtveit, L. R. Cenkeramaddi, M. Hamid and B. Beferull-Lozano, “Self-Powered IoT Device for Indoor and Outdoor Applications”, 31^st International Conference on VLSI Design (VLSID), 2018.
• R. A. Kjellby, L. R. Cenkeramaddi, T. E. Johnsrud, S. E. Løtveit, B. Beferull-Lozano, S. Joshi, “Self-Powered IoT Device based on Energy Harvesting for Remote Applications,” IEEE International Conference on Advanced Networks and Telecommunication Systems (ANTS), 2018.
• T. Jordbru, L. Jiao, L. R. Cenkeramaddi, “UDP flows in Cognitive Radios with Channel Aggregation and Fragmentation: A Test-bed Based Evaluation”, IEEE International Conference on Advanced Networks and Telecommunication Systems (ANTS), 2018.
• A. Frøytlog, L. R. Cenkeramaddi, “Design and Implementation of an Ultra-Low Power Wake-up Radio for Wireless IoT Devices”, IEEE International Conference on Advanced Networks and Telecommunication Systems (ANTS), 2018.
• H. Idsøe, L. R. Cenkeramaddi, S. Joshi, “Sensor Data Compression based on Re-Quantization of Sensor Data,” 4th IEEE International Symposium on Smart Electronic Systems (iSES), 2018.
• A. Bhuria, A. Goyal, L. R. Cenkeramaddi, M.B. Srinivas, S. Joshi, “Design of Software and Data Analytics for Self-powered Wireless IoT Devices”, 4th IEEE International Symposium on Smart Electronic Systems (iSES), 2018.
• D. Alonso-Roman, C. Asensio-Marco and B.Beferull-Lozano, “Consensus-based Distributed State Estimation of Biofilm in Reverse Osmosis Membranes by WSNs”, International Workshop on Cyber-Physical Systems for Smart Water Networks, CPS Week, 2017.
• F. Gara, L. Ben Saad, R. Ben Ayed, “An Intrusion Detection System for Selective Forwarding Attack in IPv6-based Mobile WSNs”, IEEE Wireless Communications and Mobile Computing Conference (IWCMC), 2017.
• B. Zaman, L.M. López-Ramos, D. Romero, B. Beferull-Lozano, “Online Topology Estimation for Vector Autoregressive Processes in Data Networks”, IEEE International Conference on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017.
• M. Ramezani, B. Beferull-Lozano, “Graph Recursive Least Squares Filter for Topology Inference in Causal Data Processes”, IEEE International Conference on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017.
• T. Jordbru, M. Hamid, L. R. Cenkeramaddi, H. Idsøe and B. Beferull-Lozano,”Implementation of a Two Stage Fully-Blind Self-Adapted Spectrum Sensing Algorithm”, 2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS).
• H. Idsøe, M. Hamid, L. R. Cenkeramaddi, T. Jordbru, and B. Beferull-Lozano,”Experimental Validation for Spectrum Cartography using Adaptive Multi-Kernels”, 2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS).
• M. Hamid and B. Beferull-Lozano, “Non-parametric spectrum cartography using adaptive radial basis functions,”IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, 2017, pp. 3599-3603.
• T. Jordbru, H. Idsøe, L. R. Cenkeramaddi, B. Beferull-Lozano and M. Hamid, “Radio measurements on a customized software defined radio module: A case study of energy detection spectrum sensing,” IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Turin, 2017, pp. 1-6.
• H. Idsøe, M. Hamid, T. Jordbru, L. R. Cenkeramaddi and B. Beferull-Lozano, “Spectrum Cartography using Adaptive Radial basis Functions:Experimental Validation”, IEEE International Workshop in Signal processing Advances in Wireless Communications(SPAWC), Sapporo, Japan, 2017, pp. 1-5.
• T.Jordbru, M. Hamid, L. R. Cenkeramaddi, H. Idsøe, B. Beferull-Lozano, “Implementation of a Two Stage Fully-Blind Self-Adapted Spectrum Sensing Algorithm”, IEEE ICSPCS 2017.
• L. Ben Saad,  C. Asensio-Marco and B. Beferull-Lozano, “Topology design to reduce energy consumption of distributed graph filtering in WSN”, in 5th IEEE Global Conference on Signal and Information Processing (IEEE  GlobalSIP),Montreal, Canada, November 2017.
• L. Ben Saad, T. Weerasinghe and B. Beferull-Lozano, “Topology Design to Increase Network Lifetime in WSN for Graph Filtering in Consensus Processes” in 25th European Signal Processing Conference (EUSIPCO), Kos Greece, August 2017.
• T. Jordbru, H. Idsøe, L. Cenkeramaddi, B. Beferull-Lozano, M. Hamid, Radio measurements on a customised software defined radio module: a case study of Energy detection spectrum sensing, IEEE International Instrumentation and Measurement Technology Conference (I2MTC), May 2017.
• D. Alonso-Román, B. Beferull-Lozano, Adaptive consensus-based distributed Kalman filter for WSNs with random link failures, IEEE International Conference on Distributed Computing in Sensor Systems, May 2016.
• D. Alonso-Román, B. Beferull-Lozano, Adaptive consensus-based distributed detection in WSN with unreliable links, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2016.
• C. Asensio-Marco, D. Alonso-Román, B. Beferull-Lozano, Ensuring high performance of consensus-based estimation by lifetime maximization in WSNs, IEEE International Conference on Distributed Computing in Sensor Systems, June 2015.
• D. Alonso-Román, C. Asensio-Marco, E. Celada-Funes, B. Beferull-Lozano, Consensus based distributed estimation of biomass concentration in reverse osmosis membranes,  1st International Workshop on Cyber-Physical Systems for Smart Water Networks, CPS Week, Seattle, April 2015.
• E. Celada-Funes, D. Alonso-Román, C. Asensio-Marco, B. Beferull-Lozano, A reliable CSMA protocol for high performance broadcast communications in a WSN, IEEE GLOBECOM, 2014.
• C. Asensio-Marco, B. Beferull-Lozano, Fast Average Gossiping Under Asymmetric Links in WSNs, EUSIPCO, 2014.
• C. Asensio-Marco, D. Alonso-Román, B. Beferull-Lozano, Achieving energy-efficient distributed consensus in wireless Scale Free Networks, IEEE International Conference on Communications, Sydney, 2014.
• C. Asensio-Marco, B. Beferull-Lozano, Optimal topology design for energy efficient consensus in broadcast Wireless Sensor Networks, IEEE International Conference on Communications, Sydney, 2014.
• E. Celada-Funes, B. Beferull-Lozano, Reaction-Diffusion on Dynamic Inhibition Areas: A Bio-Inspired Link Scheduling Algorithm, IEEE Wireless Communications and Networking Conference, April 2014, Istanbul, Turkey, 2014.
• S. Shah, B. Beferull-Lozano, Adaptive Quantization for Multihop Progressive Estimation in Wireless Sensor Networks,  EUSIPCO 2013.
• C. Asensio, D. Alonso, F. Camaró, B. Beferull-Lozano, Topology optimization for a trade off between energy cost and network lifetime in average consensus, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, 2013.
• D. Alonso, F. Camaró, C. Asensio,  B. Beferull-Lozano, Distributed subspace projection over wireless sensor networks with unreliable links, IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2013.
• X. Huang, B. Beferull-Lozano, C. Botella, Non-convex Power Allocation Game in MIMO Cognitive  Radio Networks, IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2013.
• E. Celada-Funes, B. Beferull-Lozano, Dynamic Inhibition Areas for Accurately Solving the Shortest Link Scheduling Problem, IEEE International Conference on Communications (ICC), 2013.
• E. Celada-Funes, D. Alonso-Román, B. Beferull-Lozano, C. Asensio-Marco, Field reconstruction in a WSN through distributed orthogonal projection, European Workshop on Sensor Networks (EWSN), 2013.
• D. Alonso, E. Celada, C. Asensio, B. Beferull-Lozano, Improving reliability and efficiency of communications in WSNs under high traffic demand, IEEE Wireless Communications and Networking Conference (WCNC), 2013.
• F. Camaró, D. Alonso, C. Asensio, B. Beferull-Lozano, Reducing the observation error in a WSN through a consensus-based subspace projection, IEEE Wireless Communications and Networking Conference (WCNC), 2013.
• X. Insausti, P. Crespo, B. Beferull-Lozano, Distributed Subspace Projection in Wireless Sensor Networks using Computational Codes, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 2012.
• X. Insausti, P. Crespo, B. Beferull-Lozano, In-network computation of the Transition Matrix for Distributed Subspace Projection, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 2012.
• C. Asensio, B. Beferull-Lozano, Network topology optimization for accelerating consensus algorithms under power constraints, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 2012.
• S. Shah, B. Beferull-Lozano, In-Network Iterative Distributed Estimation for Power-constrained Wireless Sensor Networks, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 2012.
• C. Asensio, B. Beferull-Lozano, Link scheduling in Sensor Networks for asymmetric average consensus, IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2012.
• S. Shah, B. Beferull-Lozano, Power-aware Joint Sensor Selection and Routing for Distributed Estimation: a Convex Optimization Approach, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 2012 (Best Paper Award).
• G. Hernández, B. Beferull-Lozano, Field Estimation in Wireless Sensor Networks Using Distributed Kriging, IEEE International Conference on Communications (ICC), June 2012.
• X. Huang, B. Beferull-Lozano, Non-Cooperative Power Allocation Game with Imperfect Sensing Information for Cognitive Radio, IEEE International Conference on Communications (ICC), June 2012.
• I. Khalife, B. Beferull-Lozano, Power-Constrained Sensor Selection and Routing for Cooperative Detection in Cognitive Radios, IEEE International Conference on Communications (ICC), June 2012.
• A. Erdozain, P. Crespo, B. Beferull-Lozano, Optimum distortion exponent in parallel fading channels by using analog joint source-channel coding schemes, Data Compression Conference (DCC), Snowbird (Utah, USA), April 2012.
• C. Asensio, B. Beferull-Lozano, Asymmetric Average Consensus Under SINR-based Interference, EUSIPCO 2012.
• G. Hernández, C. Asensio, B. Beferull-Lozano, Distributed Estimation of Statistical Correlation Measures for Spatial Inference in WSNs, EUSIPCO 2012.
• I. Alustiza, A. Erdozain, P. Crespo, B. Beferull-Lozano, Bandwidth-Reduction Analog Mappings for AWGN Channels with Side Information, EUSIPCO 2012.
• I. Alustiza, A. Erdozain, P. Crespo, B. Beferull-Lozano, Multiple Description Analog Joint Source-Channel Coding for Parallel Channels with Side Information, EUSIPCO 2012.
• G. Boccolini, G. Hernández, B. Beferull-Lozano, Wireless Sensor Network for Spectrum Cartography Based on Kriging Interpolation, IEEE PIMRC 2012.
• S. Shah, B. Beferull-Lozano, In-network local distributed estimation for power-constrained wireless sensor networks, IEEE 75th Vehicular Technology Conference, VTC-spring ’2012, Yokohama, Japan, May 2012.
• X. Huang, B. Beferull-Lozano, Power Allocation Optimization in OFDM-based Cognitive Radios Based on Sensing Information, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, 2011.
• I. Khalife, B. Beferull-Lozano, Closed-form Approximations for Cooperative LLR-based Energy Detection in Cognitive Radios, IEEE International Conference on Communications, Kyoto, 2011.
• A. Erdozain, P. M. Crespo, B. Beferull-Lozano, Analog Joint Source-Channel Multiple Description Coding Scheme over AWGN Parallel Channels, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, 2011.
• C. Asensio, B. Beferull, A greedy perturbation approach to accelerating consensus algorithms and reducing its power consumption, IEEE International Statistical Signal Processing Workshop, 2011.
• C. Asensio, B. Beferull-Lozano, Accelerating consensus gossip algorithms: sparsifying networks can be good for you, IEEE International Conference on Communications, 2010.
• C. Asensio, B. Beferull-Lozano, Finding sparse connectivity patterns in power-constrained ad-hoc networks for accelerating consensus algorithms, EUSIPCO 2010.
• E. Portu-Repollés, B. Beferull-Lozano, Joint sensor selection and Routing for Distributed Estimation in Wireless Sensor Networks, Eusipco 2009, Glasgow, Scotland, August 2009.
• K. Flouri, B. Beferull-Lozano and P. Tsakalides, Optimal Gossip Algorithm for Distributed Consensus SVM Training in Wireless Sensor Networks, IEEE International Conference on Digital Signal Processing, Greece, 2009.
• K. Flouri, B. Beferull-Lozano and P. Tsakalides, Distributed Consensus Algorithms for SVM Training in Wireless Sensor Networks, EUSIPCO, Lausanne, 2008.
• V. Velisavljevic, B. Beferull-Lozano, M. Vetterli, Space-Frequency Quantization using Directionlets, IEEE International Conference on Image Processing, 2007.
• V. Velisavljevic, B. Beferull-Lozano, M. Vetterli, P.L. Dragotti, Low-Rate Reduced Complexity Image Compression using Directionlets, IEEE International Conference on Image Processing, Atlanta 2006.
• K. Flouri, B. Beferull-Lozano and P. Tsakalides. Training a SVM-based Classifier in Distributed Sensor Networks, EUSIPCO 2006, Florence, 2006.
• K. Flouri, B. Beferull-Lozano and P. Tsakalides. Power-efficient distributed Support Vector Machines for Wireless Sensor Networks, European Workshop on Sensor Networks (EWSN), 2006.
• J. Acimovic, B. Beferull-Lozano and R. Cristescu. Adaptive distributed algorithms for power-efficient data gathering in sensor networks, IEEE International Symposium on Wireless Sensor Networks, WirelessCom 2005, Hawai.
• V. Velisavljevic, B. Beferull-Lozano, M. Vetterli and P.L. Dragotti. Approximation power of Directionlets, in Proc. of IEEE International Conference on Image Processing (ICIP), Genova, September 2005.
• G. Barrenetxea, B. Beferull-Lozano and M. Vetterli. Efficient routing with small buffers in dense networks, in Proc. of IEEE and ACM International Symposium on Information Processing in Sensor networks (IPSN), April 2005, Los Angeles, CA.
• R. Cristescu, B. Beferull-Lozano. Lossy network correlated data gathering with high-resolution coding, in Proc. of IEEE and ACM International Symposium on Information Processing in Sensor networks (IPSN), April 2005, Los Angeles, CA.
• R. Cristescu, B. Beferull-Lozano, M. Vetterli, D. Ganesan and J. Acimovic.On the interaction of data representation and routing in sensor networks, in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Pennsylvania, 2005.
• E. Baccaglini, G. Barrenechea and B. Beferull-Lozano.Interaction between multiple description coding and sensor networks with finite buffers, in Proc. of IEEE International Conference on Multimedia & Expo (ICME), 2005.
• J. Acimovic, R. Cristescu and B. Beferull-Lozano. Efficient Distributed Multiresolution processing for data gathering in sensor networks, in Proc. of  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Pennsylvania, 2005.
• G. Tzagkarakis, B. Beferull-Lozano and P. Tsakalides, Rotation-Invariant Texture retrieval with gaussianized steerable pyramids,  in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2005.
• G. Tzagkarakis, B. Beferull-Lozano and P. Tsakalides, Sub-gaussian rotation-invariant features for steerable wavelet-based image retrieval, in Proc. of the International Asilomar Conference, November 2004.
• B. Beferull-Lozano, R.L. Konsbruck and M. Vetterli, Rate-Distortion Problem for Physics Based Distributed Sensing, in Proc. of IEEE and ACM International Symposium on Information Processing in Sensor Networks (IPSN), April 2004, Berkeley, CA.
• I. Jovanovic and B. Beferull-Lozano, Error-Rate Dependence of Non-Bandlimited Signals with Finite Rate of Innovation, in Proc. of IEEE International Symposium on Information Theory (ISIT), 2004.
• I. Jovanovic and B. Beferull-Lozano. Oversampled A/D Conversion of Non-Bandlimited Signals with Finite Rate of Innovation, in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, 2004.
• G. Barrenechea, B. Beferull-Lozano and M. Vetterli, Lattice Sensor Networks: Capacity Limits, Optimal Routing and Robustness to Failures, in Proc. of IEEE and ACM International Symposium on Information Processing in Sensor Networks (IPSN), April 2004, Berkeley, CA.
• R. Cristescu, B. Beferull-Lozano and M. Vetterli, On Network Correlated Data Gathering, in Proc. of  INFOCOM, 2004, Hong Kong.
• R. Cristescu, B. Beferull-Lozano and M. Vetterli, Networked Slepian-Wolf: Theory and Algorithms, in Proc. of European Workshop in Sensor Networks (EWSN), Berlin, Germany, 2004, also as Edited Volume in Springer-Verlag Lecture Notes in Computer Science, Vol. 2920.
• R. Cristescu, B. Beferull-Lozano and M. Vetterli, Scaling Laws for Correlated Data Gathering, in Proc. of IEEE International Symposium on Information Theory (ISIT), 2004.
• D. Ganesan, R. Cristescu and B. Beferull-Lozano, Power-Efficient Sensor Placement and Transmission Structure for Data Gathering under Distortion Constraints, in Proc. of IEEE and ACM International Symposium on Information Processing in Sensor Networks (IPSN), 2004, Berkeley, CA.
• B. Beferull-Lozano, R. L. Konsbruck and M. Vetterli, Rate-Distortion Problem for Physics Based Distributed Sensing, in Proc. of IEEE and ACM International Symposium on Information Processing in Sensor Networks (IPSN), May 2004, Montreal, Canada.
• V. Velisavljevic, B. Beferull-Lozano, M. Vetterli and P. L. Dragotti, Discrete Multi-directional Wavelet Bases, in Proc. of IEEE International Conference on Image Processing (ICIP), Barcelona, Spain, September 2003.
• B. Beferull-Lozano, H. Xie and A. Ortega. Rotation-Invariant Features based on Steerable Transforms with an application to distributed image classification. In Proc. of IEEE International Conference on Image Processing (ICIP), Barcelona, September, 2003.
• B. Beferull-Lozano, S. Diggavi. Nested trellis codes and shaping for the transmitter side-information problem, in Proc. of International Symposium on Information Theory (ISIT), 2003.
• G. Barrenechea, B. Beferull-Lozano, A. Verma, P. L. Dragotti and M. Vetterli, Multiple Description Source Coding and Diversity Routing: A Joint Source Channel Coding Approach to Real-Time Services over Dense Networks, Proc. 13th International Packet Video Workshop, April 2003, Nantes, France.
• Z. Cvetkovic, B.Beferull-Lozano and A. Buja. Robust phoneme discrimination using acoustic waveforms,  in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2002.
• B. Beferull-Lozano and A. Ortega. Construction of Low Complexity Regular Quantizers for Overcomplete Expansions in R^N, in Proc. of  IEEE Data Compression Conference (DCC), Snowbird, Utah, 2001.
• B. Beferull-Lozano and A. Ortega. Efficient Quantization for Overcomplete Expansions in R^N, in Proc. of  IEEE International Conference on Acoustics, Speech and Signal Processing, Salt Lake City, Utah, 2001.
• A. Ortega, B. Beferull-Lozano, N. Srinivasamurthy, H. Xie. Compression for Recognition and Content-based Retrieval, in Proc. of Eusipco International Conference, Tampere, Finland, 2000.
• B. Beferull-Lozano and A. Ortega. Coding Techniques for Oversampled Steerable Transforms, in Proc. of thirty-third International Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, October 1999.
• S. Felici, B. Beferull-Lozano, J. Martinez, G. Martin. “An Adaptative Video Compression algorithm based on Wavelet Filter Banks for Best Effort Networks”, in Proc. of SoftCOM98, International Conference on Software in Telecommunications and Computer Networks, Bari, Italy, 1998.
• B. Beferull-Lozano, E. Bonet, V. Sos, F. Toledo. “An approach to an Orange Classifier based on the Discrete Gabor Wavelet Transform”, in Proc. of VII National Symposium on Pattern Recognition and Image Analysis, Barcelona, Spain, April 1997.