I risultati dello scritto dell'appello di Comunicazioni Elettriche del 18 giugno e il calendario degli orari sono disponibili al link seguente:

https://www.dropbox.com/s/qhrmaz5xx9tbf1u/Risultati_esame_18giugno18.pdf?dl=0

The Telecommunications and Remote Sensing Laboratory of the University of Pavia (TLCRS, http://tlclab.unipv.it) has currently open a position for a post-doc researcher in remote sensing and data fusion. This position is related to the activities in the PULSE and EOXPOSURE projects, as well as to general activities in the field of multi-sensor and multi-scale Earth Observation data fusion.

The post-doc researcher is expected to work on the development of new techniques for the extraction of environmental parameters (e.g., concentration of air pollutants, soil humidity) as well as for mapping peculiar environments (e.g., pervious and impervious materials in urban and peri-urban areas) using a combination of existing spaceborne, airborne and ground-based sensors. Examples of recent works in the same lines of research by TLCRS are included in the bibliography below.

The ideal candidate has a PhD in remote sensing, electronic/computer engineering, environmental or information science, and a background on remote sensing image processing and data fusion. The grant is meant to start as soon as possible, ideally on Aug. 1, 2018, and it will last for one year, with a possible extension to another year.

Interested candidates are welcome to send their CV to Prof. Paolo Gamba (paolo.gamba-at-unipv.it) by July 10, 2018.

 

References

  • C. Iannelli, P. Gamba “Improving the HBDT framework fusing HR and VHR SAR and optical data for image classification”, Proc. of IGARSS’17, Fort Worth (TX), July 24-28, 2017, pp. 5474-5477
  • A. Marinoni, P. Gamba, “On the effect of air pollution on clinical records of diabetes-related patients”, Proc. of the 2016 Conference on “Big Data from Space” (BIDS’16), Santa Cruz de Tenerife (Spain), March 15-17, 2016, pp. 286-289.
  • A. Salentinig, P. Gamba, "Multi-scale decision level data fusion by means of spatial regularization and image weighting," 2017 Joint Urban Remote Sensing Event (JURSE), Dubai, United Arab Emirates, 2017, pp. 1-4.

The article "Reduced Complexity Kalman Filtering for Phase Recovery in XPIC Systems" has been published on Elsevier Physical Communication.

The authors are: Farzana Kulsoom, Anna Vizziello, and Pietro Savazzi (TLC group), and Roberta Borra (SIAE Microlettronica)

The final version of the paper will be available for a limited period of time at the followink link:

https://authors.elsevier.com/c/1X3TT6gDRXLl1O

  

Following a detailed evaluation of the presentations and the submitted abstracts, the committee composed by Prof. Gabriele Moser (Univ. Genova), Prof. Fabio Dell'Acqua (Univ. Pavia) and Prof. Giampaolo Ferraioli (Univ. Napoli "Parthenope") assigned the best oral and the best poster paper awards, sponsored by the IEEE Geoscience and Remote Sensing Society, to the following two young researchers:

  • Best oral paper award to Nertjana Ustalli (Univ. Roma "La Sapienza") for the paper entitled "Kinematic parameters estimation in forward scatter radar configuration".

  • Best poster paper award to Michele Ambrosanio (Univ. Napoli "Parthenope") for the paper entitled "Wavelet decomposition basis for mixed-norm strategies in ground-penetrating radar applications".

This morning, prof. Dara Entekhabi gave the first lecture of the short course on "Radar Remote Sensing, polarimetry and scattering mechanisms" planned to last until the 1st of June with the following schedule:

Date

(May 2018)

Mon 21st

Tue 22

Tue 22

Thu 24

Fri 25

Fri 25

Thu 31

Fri 1 Jun

Time (24h)

14-16

11-13

16-18

16-18

9-11

14-16

14-16

10-11

Room

E8

Seminar room, electronics

E4

Seminar room, electronics

Seminar room, comp. science

Seminar room, electronics

EF2

Seminar room, comp. science

Prof. Dara Entekhabi is professor at the Department of Civil and Environmental Engineering and at the Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Boston, USA. He is also the Science Team Leader of the NASA Soil Moisture Active Passive (SMAP) Satellite Mission.

His short course will present the theory, the applications and examples of real-world use of joint passive and active microwave sensing for environmental monitoring and modelling. The short course is part of the Radar Remote Sensing course taught by prof. Fabio Dell'Acqua, and is also credited for PhD students.