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DTSTART:20230326T030000
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DTSTART:20231029T020000
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DTSTAMP:20230629T130237Z
UID:9935DDAA-057A-4091-B659-77F3F9F445F5
DTSTART;TZID=Europe/Zagreb:20230627T110000
DTEND;TZID=Europe/Zagreb:20230627T120000
DESCRIPTION:As part of the [UWIN-LABUST project](https://uwin-labust.fer.hr
 /)\, the Laboratory for Underwater Systems and Technologies in collaborati
 on with the [IEEE Croatia Section - Robotics and Automation Chapter](https
 ://www.ieee.hr/ieeesection/odjeli_chapteri/ra24)\, the [IEEE OES Universit
 y of Zagreb Student Branch Chapter](https://www.facebook.com/ieeeoesunizg/
 ) and [IEEE Life Member Affinity Group - Croatia](https://www.ieee.hr/ieee
 section/lm) is happy to invite you to the lecture\n\n&quot;Underwater remote se
 nsing systems simulation for synthetic dataset generation&quot;\n\nheld by dr. 
 sc. Antonio Lagudi\, Department of Mechanical\, Energetics and Management 
 Engineering (DIMEG)\, University of Calabria (UNICAL)\,  Arcavacata di Ren
 de\, Italy. The lecture will take place on Tuesday June 27th\, 2023 at 11:
 00 in the Grey Hall at the Faculty of Electrical Engineering and Computing
  (FER). The lecture is in English and is open to all interested participan
 ts.\n\nThe lecturer’s CV and the summary of the lecture can be found bel
 ow.\n\nAbstract:\n\nThe talk will present a recent development of a simula
 tion framework in which a Multi-Beam Echosounder (MBES) is simulated in or
 der to generate synthetic datasets that are used for training Deep Learnin
 g models addressed to recognize objects and natural phenomena like gas emi
 ssions.\n\nBrief bio:\n\nAntonio Lagudi is a Research Associate at the Uni
 versity of Calabria. He received his Ph.D. in Mechanical Engineering at th
 e University of Calabria in 2015 and he graduated in Electronic Engineerin
 g at the University of Perugia. Winner in 2015 of the &quot;Ph.D. I-Talents&quot; pr
 oject\, he has experience in the design and development of Computer vision
  solutions for industrial applications. He has been and is currently invol
 ved in several EU co-funded projects and he is co-author of more than 40 s
 cientific papers and publications.\n\nRoom: Gray Hall\, Bldg: D\, Unska 3\
 , Zagreb\, Grad Zagreb\, Croatia\, 10000
LOCATION:Room: Gray Hall\, Bldg: D\, Unska 3\, Zagreb\, Grad Zagreb\, Croat
 ia\, 10000
ORGANIZER:igor.kvasic@fer.hr
SEQUENCE:6
SUMMARY:Underwater remote sensing systems simulation for synthetic dataset 
 generation
URL;VALUE=URI:https://events.vtools.ieee.org/m/365256
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;As part of the&amp;nbsp\;&lt;a href=&quot;https://uwin
 -labust.fer.hr/&quot;&gt;UWIN-LABUST project&lt;/a&gt;\, the Laboratory for Underwater S
 ystems and Technologies&amp;nbsp\;in collaboration with the&amp;nbsp\;&lt;a href=&quot;htt
 ps://www.ieee.hr/ieeesection/odjeli_chapteri/ra24&quot;&gt;IEEE Croatia Section - 
 Robotics and Automation Chapter&lt;/a&gt;\, the&amp;nbsp\;&lt;a href=&quot;https://www.faceb
 ook.com/ieeeoesunizg/&quot;&gt;IEEE OES University of Zagreb Student Branch Chapte
 r&lt;/a&gt;&amp;nbsp\;and&amp;nbsp\;&lt;a href=&quot;https://www.ieee.hr/ieeesection/lm&quot;&gt;IEEE Li
 fe Member Affinity Group - Croatia&lt;/a&gt;&amp;nbsp\;is happy to invite you to the
  lecture&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;&quot;Underwater remote sensing systems simulation for
  synthetic dataset generation&quot;&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;held by&amp;nbsp\;dr. sc. Anto
 nio Lagudi\,&amp;nbsp\;&lt;em&gt;Department of Mechanical\, Energetics and Managemen
 t Engineering (DIMEG)\, University of Calabria (UNICAL)\,&amp;nbsp\;&lt;/em&gt;&amp;nbsp
 \;Arcavacata di Rende\, Italy. The lecture will take place on&amp;nbsp\;&lt;stron
 g&gt;Tuesday June 27&lt;sup&gt;th&lt;/sup&gt;\, 2023&amp;nbsp\;at 11:00&lt;/strong&gt;&amp;nbsp\;in the
  Grey Hall at the Faculty of Electrical Engineering and Computing (FER). T
 he lecture is in English and is open to all interested participants.&lt;/p&gt;\n
 &lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;The lecturer&amp;rsquo\;s CV and the summary of the lecture
  can be found below.&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;&lt;strong&gt;Abst
 ract:&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;The talk will present a recent development o
 f a simulation framework in which a Multi-Beam Echosounder (MBES) is simul
 ated in order to generate synthetic datasets that are used for training De
 ep Learning models addressed to recognize objects and natural phenomena li
 ke gas emissions.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;
 &gt;&lt;strong&gt;Brief bio:&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;Antonio Lagudi is a Research A
 ssociate at the University of Calabria. He received his Ph.D. in Mechanica
 l Engineering at the University of Calabria in 2015 and he graduated in El
 ectronic Engineering at the University of Perugia. Winner in 2015 of the &quot;
 Ph.D. I-Talents&quot; project\, he has experience in the design and development
  of Computer vision solutions for industrial applications. He has been and
  is currently involved in several EU co-funded projects and he is co-autho
 r of more than 40 scientific papers and publications.&lt;/p&gt;
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