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Lee Gonzales Fuentes

Lee Gonzales Fuentes Photo
Lee Gonzales Fuentes was born in Arequipa, Perú. She received the Bachelor degree in Electronic Engineering with a major in Telecommunications from the Universidad Nacional de San Agustín (UNSA), Perú in 2008. Her M.Sc. degree in Electronics/Telecommunications from the University of Gävle (HIG), Sweden was received in 2012. In March 2012, Lee joined the department of Electricity and Instrumentation (ELEC) as a Ph.D. student in the domain of pre- and post-processing of measured data. Her main research interests are measurements and modeling techniques for high-frequency applications, wireless network design, telemetry and digital signal processing.
 
Research under this award has been captured in the following transaction papers:
1. L. Gonzales-Fuentes, K. Barbé, L. Barford, L. Lauwers and L. Phillips, ”A qualitative study of probability density visualization techniques in measurements”, Measurement, vol. 65, no., pp. 95-111, DOI: 10.1016/j.measurement.2014.12.022, Jan. 7th, 2015 (online). 
2. A guaranteed blind and automatic probability density estimation of raw measurements, K. Barbe, L. Gonzales-Fuentes, L. Barford, and L. Lauwers, IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2014.2304858, vol.63, no.9, pp.2120-2128, Sept. 2014
3. Cognitive Radios: Discriminant Analysis for Automatic Signal Detection in Measured Power Spectra, L. Gonzales-Fuentes, K. Barbe, W. Van Moer, and N. Björsell, IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2013.2265607, vol.62, no.12, pp.3351,3360, Sept. 2013.
 
In addition, results have been published in conference proceedings:
1. Adaptive Noise Tracking for Cognitive Radios under more realistic operation conditions, L. Gonzales-Fuentes, K. Barbe, and W. Van Moer, I2MTC 2014 IEEE International Instrumentation and Measurement Technology Proceedings, vol., no., pp.1339,1344, May 12-15, 2014.
2. Monte-Carlo parameter uncertainty analysis under dynamical and operational measurement conditions, K. Barbe, L. Gonzales-Fuentes, O. Olarte and L. Lauwers, I2MTC 2014 IEEE International Instrumentation and Measurement Technology Proceedings, vol., no., pp.276,281, 12-15 May 12-15,2014
3. Eliminating user-interaction in probability density estimation, K. Barbe, L. Gonzales-Fuentes, L. Barford, and W. Van Moer, I2MTC 2013 IEEE International Instrumentation and Measurement Technology Proceedings, vol., no., pp. 1295-1300, May 6-9, 2013.
4. Cognitive Radios: Discriminant Analysis finds the free space, L. Gonzales-Fuentes, K. Barbe, W. Van Moer, and N. Björsell, I2MTC 2012 IEEE International Instrumentation and Measurement Technology Proceedings, vol., no., pp.2242 – 2247, May 13-16, 2012.
 
Lee Gonzales Fuentes based her doctoral dissertation entitled:
Helping Cognitive Radio in the Search for Free Space, L. Gonzales-Fuentes, Master Thesis dissertation, January 2012, on the research supported by this award.
 
And finally, the following conference presentations have highlighted the research results:
1. Time-Varying Noise Tracking for Cognitive Radio scenarios, L. Gonzales-Fuentes, K. Barbe, and W. Van Moer, 33nd Benelux Meeting on Systems and Control, Heijden, The Netherlands, on March 25-27, 2014.
2. Discriminant Analysis for Cognitive Radio applications to Medical Emergencies, L. Gonzales-Fuentes, K. Barbe and W. Van Moer, Poster presented at the Annual Symposium of the IEEE EMBS and IM Benelux Chapter and National Day on Biomedical Engineering, December 5-6, 2013.
3. Discriminant Analysis for Spectrum Use Agility, L. Gonzales-Fuentes, Kurt Barbe, and Wendy Van Moer, VUB PhD Research Day, May 31st, 2013.
4. Discriminant Analysis for Spectrum Use Agility, L. Gonzales-Fuentes, K. Barbe, and W. Van Moer, 32nd Benelux Meeting on Systems and Control, March 26-28th, 2013, OL Fosse D'Outh, Houffalize, Belgium.
 
The estimation of the probability density of a measured physical variable is a very common functionality in both measurement instruments and virtual measurement systems. The relevance of this project attracted the attention of Agilent Technologies (currently Keysight Technologies) which resulted in a scientific collaboration. Several discussions regarding the different techniques and their implementation allowed the research team to apply them to different measurement problems that an engineer usually encounters.
Vrije Universiteit Brussel