BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210414T011059Z UID:78444DCB-A0E1-42FF-B1B1-C252276D115C DTSTART;TZID=America/New_York:20210408T190000 DTEND;TZID=America/New_York:20210408T201500 DESCRIPTION:Spectrum awareness is increasingly critical across both civil a nd military applications. Reliable spectrum Situational Awareness (SA) pro vides visibility to essential information needed for communications\, inte rference mitigation\, dynamic shared spectrum\, network optimization\, and electromagnetic maneuverability. Effective spectrum SA should be driven b y low cost RF sensors that can be broadly distributed to provide spatial d iversity and avoid common sensing problems such as multipath and shadowing .\n\nThis presentation discusses the importance of spectrum SA for multidi sciplinary operations and how advances in RF technology are enabling a rev olution in this space. Technology developed by Perspecta Labs is presented as an exemplar spectrum SA system which exhibits scalability\, autonomy\, and dynamic responsiveness. The SecureSense system employs a distributed network of heterogeneous static and mobile RF sensors which leverage recen t advancements in low cost Software Defined Radios (SDRs). Features and me thods for signal detection\, classification\, automated sensor cross-cuein g\, and spectral visualization are described in and around a virtual demon stration of the SecureSense system. Specific attention is paid to leveragi ng machine learning and artificial intelligence for classification and in future development for autonomous sensor network configuration.\n\nBio: Dr . Andrew Portune\n\nDr. Portune currently serves as Sr. Research Scientist at Perspecta Labs in Red Bank\, NJ. Dr. Portune is an accomplished techno logist and researcher with an extensive background in data analytics\, RF sensing\, and materials science. Dr. Portune is a key contributor on the C omprehensive Spectrum Monitoring (COSMOS) program\, where he leads develop ment of the SecureSense technology for spectrum situational awareness. Add itional activities include technical leadership on multi-objective reasoni ng using machine learning techniques. Dr. Portune previously served as Dir ector at a small business focused on exploitation of unintended electromag netic emissions.\n\nVirtual: https://events.vtools.ieee.org/m/263634 LOCATION:Virtual: https://events.vtools.ieee.org/m/263634 ORGANIZER:Cherif.Chibane@gmail.com SEQUENCE:6 SUMMARY:Spectrum Situational Awareness through Distributed RF Sensing - Dr. Andrew Portune\, Senior Research Scientist\, Perspecta Labs URL;VALUE=URI:https://events.vtools.ieee.org/m/263634 X-ALT-DESC:Description: <br /><p>Spectrum awareness is increasingly critica l across both civil and military applications.&nbsp\; Reliable spectrum Si tuational Awareness (SA) provides visibility to essential information need ed for communications\, interference mitigation\, dynamic shared spectrum\ , network optimization\, and electromagnetic maneuverability.&nbsp\; Effec tive spectrum SA should be driven by low cost RF sensors that can be broad ly distributed to provide spatial diversity and avoid common sensing probl ems such as multipath and shadowing.</p>\n<p>&nbsp\;This presentation disc usses the importance of spectrum SA for multidisciplinary operations and h ow advances in RF technology are enabling a revolution in this space.&nbsp \; Technology developed by Perspecta Labs is presented as an exemplar spec trum SA system which exhibits scalability\, autonomy\, and dynamic respons iveness.&nbsp\; The SecureSense system employs a distributed network of he terogeneous static and mobile RF sensors which leverage recent advancement s in low cost Software Defined Radios (SDRs).&nbsp\; Features and methods for signal detection\, classification\, automated sensor cross-cueing\, an d spectral visualization are described in and around a virtual demonstrati on of the SecureSense system.&nbsp\; Specific attention is paid to leverag ing machine learning and artificial intelligence for classification and in future development for autonomous sensor network configuration.</p>\n<p>& nbsp\;<strong>Bio:&nbsp\; Dr. Andrew Portune</strong></p>\n<p>Dr. Portune currently serves as Sr. Research Scientist at Perspecta Labs in Red Bank\, NJ.&nbsp\; Dr. Portune is an accomplished technologist and researcher wit h an extensive background in data analytics\, RF sensing\, and materials s cience.&nbsp\; Dr. Portune is a key contributor on the Comprehensive Spect rum Monitoring (COSMOS) program\, where he leads development of the Secure Sense technology for spectrum situational awareness.&nbsp\; Additional act ivities include technical leadership on multi-objective reasoning using ma chine learning techniques.&nbsp\; Dr. Portune previously served as Directo r at a small business focused on exploitation of unintended electromagneti c emissions.</p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR