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Baltasar Enrique Beferull Lozano

Professor

Professor og Direktør for Senter Intelligent Signalbehandling og Trådløse Nettverk (WISENET)

 
Kontor:
C225 ( Jon Lilletuns vei 3, Grimstad )
Kontortid:
C225 (FoU Building), WISENET, 9:00 - 16:30, nettside: http://wisenet.uia.no

Department of Information and Communication Technology

Department of Engineering Sciences (by courtesy)

Intelligent Signal Processing and Wireless Networks (WISENET) 

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 Aug. 2014, he is Professor at University of Agder, leading the Center Intelligent Signal Processing and Wireless Networks (WISENET).

He has coordinated or participated as IP in more than 20 international Projects in the areas of Wireless Sensor and Actuator Networks, Signal Processing, Data analytics, Machine Learning and Last-generation Wireless Networks, including 10 EU Projects (FP6, FP7, H2020), among others, HYDROBIONETS, SENDORA, WISERNETS, CRUISE, as well as a CONSOLIDER (Center of Excellence iin Spain) Project and similar ones in Switzerland and the US. Currently, he is coordinator or IP in five large Research Projects funded by the Research Council of Norway, including a FRIPRO TOPPFORSK project (most competitive Program for fundamental research). He has co-authored over 100 technical peer-reviewed international journal and conference papers (including several Best paper Awards) with a high-rate of citations, generated 3 U.S. patents, supervised more than 10 PhD Theses and imparted seminars and postgraduate courses at more than 80 different international institutions. Prof. Beferull has also collaborated intensively with several companies in the field, such as Telenor, ACCIONA, Thales Communications, Lundin, MHWirth, Telefónica and Deutsche Telekom, 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) and the US. NSF (since 2008), for both Research Proposals and on-going projects on Information and Communication Technologies. He has served as a member of the Technical Program Committees for several top ACM \& IEEE 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. 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, energy grids and 4G, 5G wireless networks. 

He received the Best Paper Award at the IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS) 2012. He received the IDEA Award in Novel Technologies 2006 from the Spanish government, and 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 areas of signal processing and communications), Top cross-disciplinary excellence research program for fundamental research in Norway. Several of Prof. Beferull’s published papers related to the area of Wireless Sensor Networks, 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

- 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, 2018.

- 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. 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.

Undervisning

Current courses at University of Agder:

  • Deep Learning, PhD Program in Information and Communication Technologies.
  • Wireless Embedded Systems and Sensor Networks, Master in Information and Communication Technologies.
  • Optimization, Master and PhD Program in Information and Communication Technologies.
  • Advanced Optimization, PhD Program 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.

Faglige interesser

Current courses at University of Agder:

  • Deep Learning, PhD Program in Information and Communication Technologies.
  • Wireless Embedded Systems and Sensor Networks, Master in Information and Communication Technologies.
  • Optimization, Master and PhD Program in Information and Communication Technologies.
  • Advanced Optimization, PhD Program 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.

Prosjekter

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.

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 page

Selected Present and Recent Past Projects as Coordinator and/or IP

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

2) 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. 

3) 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.

4) 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.

5) 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.

6) 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.

7) 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. 

8) 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 

9)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.

10) 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. 

11) 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).

Vitenskapelige publikasjoner

  • 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. doi:10.1109/TSIPN.2018.2866324.
  • Asensio-Marco, César Alonso-Román, Daniel Beferull-Lozano, Baltasar (2018). Cross-layer MAC Protocol for Unbiased Average Consensus under Random Interference. IEEE Transactions on Signal and Information Processing over Networks. ISSN: 2373-7778. doi:10.1109/TSIPN.2018.2873070.
  • 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 Loetveit, Svein Erik Cenkeramaddi, Linga Reddy Hamid, Mohamed Beferull-Lozano, Baltasar (2018). Self-Powered IoT Device for Indoor Applications. VLSI Design : Proceedings / the ... International Conference on VLSI Design. ISSN: 1063-9667. 2018-Januarys 455 - 456. doi:10.1109/VLSID.2018.110.
  • 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.
  • Hamid, Mohamed Beferull-Lozano, Baltasar (2017). Non-parametric spectrum cartography using adaptive radial basis functions. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ISBN: 978-1-5090-4117-6. IEEE conference proceedings. chapter. s 3599 - 3603.
  • 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 Weerasinghe, Thilina Nuwan Beferull-Lozano, Baltasar (2017). Topology Design to Increase Network Lifetime in WSN for Graph Filtering in Consensus Processes. 2017 25th European Signal Processing Conference (EUSIPCO). ISBN: 978-0-9928626-7-1. IEEE. KAPITTEL.
  • 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 Kalman Filter for WSNs with Random Link Failures. 2016 IEEE International Conference on Distributed Computing in Sensor Systems. ISBN: 978-1-5090-1459-0. IEEE conference proceedings. chapter. s 187 - 192.
  • 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.
  • Alonso, Daniel Asensio-Marco, César Celada Funes, Eugenio Beferull-Lozano, Baltasar (2015). Consensus based distributed estimation of biomass concentration in reverse osmosis membranes. Proceedings of the 1st ACM International Workshop on Cyber-Physical Systems for Smart Water Networks. ISBN: 978-1-4503-3485-3. ACM Digital Library. 1.
  • 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.
  • Asensio-Marco, César Alonso, Daniel Beferull-Lozano, Baltasar (2015). Ensuring high performance of consensus-based estimation by lifetime maximization in WSNs. Distributed Computing in Sensor Systems (DCOSS). ISBN: 978-1-4799-8856-3. IEEE. Chapter. s 108 - 114.
  • Tzagkarakis, G Tsagkatakis, G Alonso, Daniel Asensio-Marco, César Celada Funes, Eugenio Panousopoulou, A Tsakalides, P. Beferull-Lozano, Baltasar (2015). Signal and Data Processing Techniques for Industrial Cyber-Physical Systems. Cyber-Physical Systems: From Theory to Practice. ISBN: 9781482263329. CRC Press. Chapter. s 181 - 223.
  • Celada Funes, Eugenio Alonso, Daniel Asensio-Marco, César Beferull-Lozano, Baltasar (2014). A reliable CSMA protocol for high performance broadcast communications in a WSN. 2014 IEEE Global Communications Conference (GLOBECOM). ISBN: 978-1-4799-7470-2. IEEE conference proceedings. chapter. s 473 - 479.
  • Asensio-Marco, Cesar Alonso-Román, Daniel Beferull-Lozano, Baltasar (2014). Achieving energy-efficient distributed consensus in wireless scale free networks. ICC 2014 - Proceedings of 2014 IEEE International Conference on Communications. ISBN: 978-1-4799-2003-7. IEEE conference proceedings. kapittel. s 2436 - 2442.
  • Asensio-Marco, César Beferull-Lozano, Baltasar (2014). Fast average gossiping under asymmetric links in WSNS. 2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO). ISBN: 978-0-9928626-1-9. IEEE conference proceedings. kapittel. s 131 - 135.
  • Asensio-Marco, Cesar Beferull-Lozano, Baltasar (2014). Optimal topology design for energy efficient consensus in broadcast wireless sensor networks. ICC 2014 - Proceedings of 2014 IEEE International Conference on Communications. ISBN: 978-1-4799-2003-7. IEEE conference proceedings. kapittel. s 269 - 275.
  • Celada-Funes, Eugenio Beferull-Lozano, Baltasar (2014). Reaction-Diffusion on Dynamic Inhibition Areas: A Bio-Inspired Link Scheduling Algorithm. 2014 IEEE Wireless Communications and Networking Conference (WCNC). ISBN: 9781479930838. IEEE conference proceedings. kapittel. s 1715 - 1720.
  • 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.
  • Beferull-Lozano, Baltasar (2018). Data Science in O&G meets Graph Signal Processing.
  • Lopez-Ramos, Luis M. Romero, Daniel Zaman, Bakht Beferull-Lozano, Baltasar (2018). Dynamic network identification from non-stationary vector autoregressive time series.
  • 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.
  • 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.
  • Kjellby, Rolf Arne Cenkeramaddi, Linga Reddy Johnsrud, Thor Eirik Løtveit, Svein Erik Beferull-Lozano, Baltasar J, Soumya (2018). Self-Powered IoT Device based on Energy Harvesting for Remote Applications.

Sist endret: 14.02.2019 12:02

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