Ansvarsområde
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, 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.
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.
Forskning
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.
Faglige interesser
Current courses at University of Agder:
- Optimization, Master and PhD Program in Information and Communication Technologies.
- Advanced Optimization, PhD Program in Information and Communication Technologies.
- Deep Learning, PhD Program in Information and Communication Technologies.
- Deep Reinforcement Learning, PhD Program in Information and Communication Technologies.
- Wireless Embedded Systems and Sensor Networks, Master in Information and Communication Technologies.
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.
Undervisning
Current courses at University of Agder:
- Optimization, Master and PhD Program in Information and Communication Technologies.
- Advanced Optimization, PhD Program in Information and Communication Technologies.
- Deep Learning, PhD Program in Information and Communication Technologies.
- Deep Reinforcement Learning, PhD Program in Information and Communication Technologies.
- Wireless Embedded Systems and Sensor Networks, Master in Information and Communication Technologies.
In addition, Prof. Beferull-Lozano has taught courses and given invited seminars in different areas (Wireless Sensor Networks, Advanced Signal Processing, Information Theory, Data Science 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.