Beferull-Lozano is professor in ICT at University of Agder, Norway.
Prof. Beferull is leading the Intelligent Signal Processing and Wireless Networks Lab (WISENET) at University of Agder (UiA).
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 WISENET Lab and since Jan. 2015, he is also Senior Research Scientist – ICT at NODE, in Norway.
He has coordinated or participated in more than 20 international Projects in the areas of Wireless Sensor and Actuator Networks, Signal Processing, Data analytics and last-generation Wireless Communications, including 7 EU Projects (FP6, FP7), among others, HYDROBIONETS, SENDORA, WISERNETS, CRUISE, as well as a CONSOLIDER (top excellence research program in Spain) Project and similar ones in Switzerland and the US. Currently, he is coordinator or IP in three large Research Projects funded by the Research Council of Norway. He has co-authored over 100 technical peer-reviewed international journal and conference papers (including 2 Best paper Awards) with a high-rate of citations, generated 3 U.S. patents, supervised 8 PhD Theses and imparted seminars and postgraduate courses at more than 40 different international institutions since 2002. Prof. Beferull has also collaborated intensively with several companies in the field, such as Telenor, ACCIONA, Thales Communications, Telefónica and Deutsche Telekom. Prof. Beferull is a Senior Member of the IEEE.
He is also 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 member of the Technical Program Committees for several top ACM \& IEEE International Conferences.
He carries out fundamental and applied research on these topics: a) advanced signal processing and data analytics, b) de-centralized communications and in-network processing for Wireless Communications and Embedded Systems, c) cross-layer design and cross-disciplinary tools for future 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 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 ranked 1st in the Ramón y Cajal Spanish Program 2005, a highly competitive program for promoting outstanding young investigators. 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.
De-centralized Communications, In-network Processing and Intelligence for heterogeneous wireless sensor and communication networks
Signal Processing and Analytics for multi-sensor data
Multidisciplinary Tools and theoretical foundations for fundamental performance analysis and optimal design of signal processing algorithms and network protocols
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.