BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Amsterdam BEGIN:DAYLIGHT DTSTART:20230326T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20231029T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230627T153931Z UID:3CD47013-E07D-4E33-881A-A2C026B41464 DTSTART;TZID=Europe/Amsterdam:20230627T150000 DTEND;TZID=Europe/Amsterdam:20230627T170000 DESCRIPTION:Talk on 'Cognitive Radar' as part of the IEEE AESS Distinguishe d Lecturer Programme by Prof Maria Sabrina Greco. The event is free\, and if you intend to attend the event in person\, please register as the venue has limited seating capacity.\n\nAbstract of the talk.\n\nOver the past f ifteen years\, “cognition” has emerged as an enabling technology for i ncorporating learning and adaptivity on both transmit and receive to optim ize or make more robust the radar performance in dynamic environments. The term ‘cognitive radar’ was coined in 2006\, but the foundations of th e cognitive systems date back several decades to research on knowledge-aid ed signal processing\, and adaptive radar design. The main element of cogn itive radar systems is the ‘perception-action cycle’\, that is the fee dback mechanism between receiver and transmitter that allows the radar sys tem to learn information about a target and its environment and adapt its transmissions so as to optimize one or more missions\, according to a desi red goal. But a truly cognitive radar should not be only able to adapt on the fly its transmission waveforms and parameters based on internal fixed rules and on what learned about the environment\, but it should also be ab le to optimize these rules learning with time from its mistakes\, as some biological system does. And this is still a big challenge for radar expert s.\n\nThis talk will provide an overview of the main concept\, of methods for modeling cognitive processes in a radar system and of some application example. Some insights into future directions of research will be provide d as concluding remarks.\n\nBio of the speaker.\n\nMaria S. Greco graduate d in Electronic Engineering in 1993 and received the Ph.D. degree in Telec ommunication Engineering in 1998\, from University of Pisa\, Italy. From D ecember 1997 to May 1998 she joined the Georgia Tech Research Institute\, Atlanta\, USA as a visiting research scholar where she carried on research activity in the field of radar detection in non-Gaussian background. In 1 993 she joined the Department of Information Engineering of the University of Pisa\, where she is Associate Professor since December 2011. She’s I EEE fellow since January 2011 and she was co-recipient of the 2001 IEEE Ae rospace and Electronic Systems Society’s Barry Carlton Award for Best Pa per and recipient of the 2008 Fred Nathanson Young Engineer of the Year aw ard for contributions to signal processing\, estimation\, and detection th eory. She's IEEE SPS Distinguished Lecturer for the years 2014-15. She has been general-chair\, technical chair and organizing committee member of m any conferences (EUSIPCO2006\, WDD2007\, RadCon2008\, CAMSAP2009\, CIP2010 \, CAMSAP2011\, SAM2014\, ICASSP2014). She was guest co-editor of the spec ial issue of the Journal of the IEEE Signal Processing Society on Special Topics in Signal Processing on "Adaptive Waveform Design for Agile Sensing and Communication\," published in June 2007 and s lead guest editor of th e special issue of International Journal of Navigation and Observation on ” Modelling and Processing of Radar Signals for Earth Observation publis hed in August 2008. She’s Associate Editor of IET Proceedings – Sonar\ , Radar and Navigation since 2009\, of the IEEE Transactions on Signal Pro cessing (2009-2013)\, Associate Editor in Chief of the IEEE Aerospace and Electronic Systems Magazine since 2011\, member of the Editorial Board of the Journal of Advances in Signal Processing (JASP) since 2008\, member of the IEEE Signal Processing Theory and Methods (SPTM) and chair of the EDU Subcommittee (2009-2014)\, and member of the Signal Array Processing (SAM ) Technical Committees (2010-2015). She's also member of the IEEE AESS Rad ar Panel and of IEEE AESS Board of Governors (2012-2014). Her general inte rests are in the areas of statistical signal processing\, estimation and d etection theory. In particular\, her research interests include radar clut ter models\, spectral analysis\, coherent and incoherent detection in non- Gaussian clutter\, CFAR techniques\, radar waveform diversity and bistatic /multistatic radars. She co-authored three book chapters\, more than 150 j ournal and conference papers.\n\nRoom: Hall O - Hans Dirken\, Bldg: Indust rial Design Faculty\, Landbergstraat 15\, TU Delft Campus\, Delft\, Zuid-H olland\, Netherlands\, 2628CE LOCATION:Room: Hall O - Hans Dirken\, Bldg: Industrial Design Faculty\, Lan dbergstraat 15\, TU Delft Campus\, Delft\, Zuid-Holland\, Netherlands\, 26 28CE ORGANIZER:F.Fioranelli@tudelft.nl SEQUENCE:4 SUMMARY:IEEE AESS Distinguished Lecturer Programme - Talk on 'Cognitive Rad ar' by Prof Maria Sabrina Greco URL;VALUE=URI:https://events.vtools.ieee.org/m/353534 X-ALT-DESC:Description: <br /><p>Talk on '<em><strong>Cognitive Radar</stro ng></em>' as part of the IEEE AESS Distinguished Lecturer Programme by Pro f Maria Sabrina Greco. The event is free\, and if you intend to attend the event in person\, <span style="text-decoration: underline\;">please regis ter as the venue has limited seating capacity</span>.</p>\n<p>&nbsp\;</p>\ n<p><strong>Abstract of the talk.</strong></p>\n<p>Over the past fifteen y ears\, &ldquo\;cognition&rdquo\; has emerged as an enabling technology for incorporating learning and adaptivity on both transmit and receive to opt imize or make more robust the radar performance in dynamic environments. T he term &lsquo\;cognitive radar&rsquo\; was coined in 2006\, but the found ations of the cognitive systems date back several decades to research on k nowledge-aided signal processing\, and adaptive radar design. The main ele ment of cognitive radar systems is the &lsquo\;perception-action cycle&rsq uo\;\, that is the feedback mechanism between receiver and transmitter tha t allows the radar system to learn information about a target and its envi ronment and adapt its transmissions so as to optimize one or more missions \, according to a desired goal. But a truly cognitive radar should not be only able to adapt on the fly its transmission waveforms and parameters ba sed on internal fixed rules and on what learned about the environment\, bu t it should also be able to optimize these rules learning with time from i ts mistakes\, as some biological system does. And this is still a big chal lenge for radar experts.</p>\n<p>This talk will provide an overview of the main concept\, of methods for modeling cognitive processes in a radar sys tem and of some application example. Some insights into future directions of research will be provided as concluding remarks.</p>\n<p>&nbsp\;</p>\n< p><strong>Bio of the speaker.</strong></p>\n<p>Maria S. Greco graduated in Electronic Engineering in 1993 and received the Ph.D. degree in Telecommu nication Engineering in 1998\, from University of Pisa\, Italy. From Decem ber 1997 to May 1998 she joined the Georgia Tech Research Institute\, Atla nta\, USA as a visiting research scholar where she carried on research act ivity in the field of radar detection in non-Gaussian background. In 1993 she joined the Department of Information Engineering of the University of Pisa\, where she is Associate Professor since December 2011. She&rsquo\;s IEEE fellow since January 2011 and she was co-recipient of the 2001 IEEE A erospace and Electronic Systems Society&rsquo\;s Barry Carlton Award for B est Paper and recipient of the 2008 Fred Nathanson Young Engineer of the Y ear award for contributions to signal processing\, estimation\, and detect ion theory. She's IEEE SPS Distinguished Lecturer for the years 2014-15. S he has been general-chair\, technical chair and organizing committee membe r of many conferences (EUSIPCO2006\, WDD2007\, RadCon2008\, CAMSAP2009\, C IP2010\, CAMSAP2011\, SAM2014\, ICASSP2014). She was guest co-editor of th e special issue of the Journal of the IEEE Signal Processing Society on Sp ecial Topics in Signal Processing on "Adaptive Waveform Design for Agile S ensing and Communication\," published in June 2007 and s lead guest editor of the special issue of International Journal of Navigation and Observati on on&rdquo\; Modelling and Processing of Radar Signals for Earth Observat ion published in August 2008. She&rsquo\;s Associate Editor of IET Proceed ings &ndash\; Sonar\, Radar and Navigation since 2009\, of the IEEE Transa ctions on Signal Processing (2009-2013)\, Associate Editor in Chief of the IEEE Aerospace and Electronic Systems Magazine since 2011\, member of the Editorial Board of the Journal of Advances in Signal Processing (JASP) si nce 2008\, member of the IEEE Signal Processing Theory and Methods (SPTM) and chair of the EDU Subcommittee (2009-2014)\, and member of the Signal A rray Processing (SAM) Technical Committees (2010-2015). She's also member of the IEEE AESS Radar Panel and of IEEE AESS Board of Governors (2012-201 4). Her general interests are in the areas of statistical signal processin g\, estimation and detection theory. In particular\, her research interest s include radar clutter models\, spectral analysis\, coherent and incohere nt detection in non-Gaussian clutter\, CFAR techniques\, radar waveform di versity and bistatic/multistatic radars. She co-authored three book chapte rs\, more than 150 journal and conference papers.</p> END:VEVENT END:VCALENDAR