BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Australia/Brisbane BEGIN:STANDARD DTSTART:19920301T020000 TZOFFSETFROM:+1100 TZOFFSETTO:+1000 TZNAME:AEST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250318T041900Z UID:828A7E47-4B06-446B-A366-80734EF241A9 DTSTART;TZID=Australia/Brisbane:20250317T163000 DTEND;TZID=Australia/Brisbane:20250317T173000 DESCRIPTION:Speaker: Nicole Perry\, Southwest Research Institute (SwRI)\n\n Title: SPARTA - Advanced Test System for Electronic Warfare\n\nAbstract: E lectromagnetic warfare (EW) systems require thorough and accurate test and evaluation (T&E) leading to complex\, expensive\, and timely test phases. As complexity of both the EW operation environment and EW capabilities gr ow\, the need for improved test resources and better evaluation has increa sed. Electronic Attack (EA)\, one aspect of EW\, requires evaluation at a high resolution and fidelity that is increasingly difficult with the use o f conventional commercial off the shelf (COTS) test equipment. SPARTA\, or System Performance and Real-time Analysis\, is an advanced tool that prov ides post-processing analysis during testing of Electronic Attack (EA) tec hniques. It describes the behavior of the EW system under test (SUT) in bo th time-domain and frequency-domain. Recorded signal of interest (SOI) rel ated to radar emitters and EW SUT can be analyzed at a high-level or as ve ry detailed pulses and samples. Graphical video illustrating activity of S OI and EW SUT can be synchronized to range and velocity graphs\, providing more in-depth visual data. For testing requiring a congested\, noisy envi ronment\, this software can separate SOI and false target responses and an alyze pulse-to-pulse and intrapulse characteristics. Designed to meet comp lex testing needs of EW\, SPARTA can reduce lifecycle costs and improve te sting accuracy during acquisition and sustainment phases.\n\nBiography: Ni cole Perry is a Senior Research Engineer with the Advanced Electronic Warf are group at Southwest Research Institute (SwRI). With SwRI\, she performs development of requirements\, design\, build\, and testing of engineering hardware\, software\, and firmware for legacy Electronic Warfare weapon s ystems and advanced technology EW platforms. She has been heavily involved with testing Electronic Attack techniques using SwRI’s SPARTA software and with a SwRI-led project using open architecture technology in a scalab le\, platform agnostic EW system. In 2024\, Ms. Perry was the recipient of the Association of Old Crows (AOC) Professional Outstanding Achievement A ward and the AOC Dixie Crow chapter A.C. McMullin Electronic Attack (EA) A ward.\n\nSpeaker: David Brown\, Southwest Research Institute (SwRI)\n\nTit le: A Systems Approach to AI for Signal Processing\n\nAbstract: Systems do main expertise has been found to be a critical factor successful machine l earning applications. Artificial Intelligence (AI) algorithms are highly d ependent on the quality of data used in training. For AI algorithms used o n non-cooperative emitters where only small amounts of observed data is av ailable\, synthetic data is used to develop sufficient number of training samples to AI training. Synthesized data has the advantage that large volu mes of training data can be generated over many scenarios that would be pr oblematic to replicate in operational scenarios (often simply due to time/ cost limitations). However\, synthesized signal data sets are generated wi th mathematical precision that is not found in observed signal data. Recen t research that focused on applying AI to radar signal processing I/Q data highlighted the limitations of direct AI approaches: AI applied without i ncorporating system level considerations yielded high performance with syn thetic training data but very poor performance when data reflective of a b roader operational context was processed by the trained algorithm. This pr esentation will summarize recent research where system level domain expert ise was applied both to the development of the synthetic training data and to the training methodology.\n\nBiography: David Brown is a chief enginee r at Southwest Research Institute where he leads cognitive EW research and development. His research interests are centered on applied cognitive EW\ , including methodologies to push AI/ML algorithms to the sensor edge. Pri or to SwRI\, he held a variety of EW related R&D positions and was an adju nct professor at the Georgia Institute of Technology. In addition to engin eering\, David gained practical experience in EW in flight as a B-1B WSO. David is a Distinguished Graduate of the Joint Electronic Warfare Officer School and is the recipient of the AOC EW Pioneer Award and RF Award. He s erved as Sensor Open Systems Architecture (SOSA) Low Latency Subcommittee co-chair\, focusing on Open EW specific concerns. David is an IEEE Systems Council Distinguished Lecturer and active in the AOC.\n\nParking\n\nLimit ed metered street parking nearby\, alternatively we recommend public trans port or paid parking available under Southbank Parklands. Alternatively\, the venue is a short walk from South Bank Train Station or Mater Hill bus station.\n\nRoom: Level 2 function room\, Bldg: Access venue at rear of bu ilding\, proceed to level 2 function room\, The Ship Inn\, Sidon Street\, South Brisbane\, Queensland\, Australia\, 4101 LOCATION:Room: Level 2 function room\, Bldg: Access venue at rear of buildi ng\, proceed to level 2 function room\, The Ship Inn\, Sidon Street\, Sout h Brisbane\, Queensland\, Australia\, 4101 ORGANIZER:jlw@ieee.org SEQUENCE:32 SUMMARY:Double seminar: "SPARTA - Advanced Test System for Electronic Warfa re"\, and "A Systems Approach to AI for Signal Processing" URL;VALUE=URI:https://events.vtools.ieee.org/m/471580 X-ALT-DESC:Description: <br /><p class="xmsonormal"><strong>Speaker: Nicole Perry\, Southwest Research Institute (SwRI)</strong></p>\n<p class="xmson ormal"><strong>Title:&nbsp\;</strong>SPARTA - Advanced Test System for Ele ctronic Warfare</p>\n<p class="xmsonormal"><strong>Abstract: </strong>Elec tromagnetic warfare (EW) systems require thorough and accurate test and ev aluation (T&amp\;E) leading to complex\, expensive\, and timely test phase s. As complexity of both the EW operation environment and EW capabilities grow\, the need for improved test resources and better evaluation has incr eased. Electronic Attack (EA)\, one aspect of EW\, requires evaluation at a high resolution and fidelity that is increasingly difficult with the use of conventional commercial off the shelf (COTS) test equipment. SPARTA\, or System Performance and Real-time Analysis\, is an advanced tool that pr ovides post-processing analysis during testing of Electronic Attack (EA) t echniques. It describes the behavior of the EW system under test (SUT) in both time-domain and frequency-domain. Recorded signal of interest (SOI) r elated to radar emitters and EW SUT can be analyzed at a high-level or as very detailed pulses and samples. Graphical video illustrating activity of SOI and EW SUT can be synchronized to range and velocity graphs\, providi ng more in-depth visual data. For testing requiring a congested\, noisy en vironment\, this software can separate SOI and false target responses and analyze pulse-to-pulse and intrapulse characteristics. Designed to meet co mplex testing needs of EW\, SPARTA can reduce lifecycle costs and improve testing accuracy during acquisition and sustainment phases.</p>\n<p class= "xmsonormal"><strong>Biography: </strong>Nicole Perry is a Senior Research Engineer with the Advanced Electronic Warfare group at Southwest Research Institute (SwRI). With SwRI\, she performs development of requirements\, design\, build\, and testing of engineering hardware\, software\, and firm ware for legacy Electronic Warfare weapon systems and advanced technology EW platforms. She has been heavily involved with testing Electronic Attack techniques using SwRI&rsquo\;s SPARTA software and with a SwRI-led projec t using open architecture technology in a scalable\, platform agnostic EW system. In 2024\, Ms. Perry was the recipient of the Association of Old Cr ows (AOC) Professional Outstanding Achievement Award and the AOC Dixie Cro w chapter A.C. McMullin Electronic Attack (EA) Award.&nbsp\;</p>\n<p class ="xmsonormal">&nbsp\;</p>\n<p class="xmsonormal"><strong>Speaker: David Br own\, Southwest Research Institute (SwRI)</strong></p>\n<p class="xmsonorm al"><strong>Title:&nbsp\;</strong>A Systems Approach to AI for Signal Proc essing</p>\n<p class="xmsonormal"><strong>Abstract: </strong>Systems domai n expertise has been found to be a critical factor successful machine lear ning applications.&nbsp\; Artificial Intelligence (AI) algorithms are high ly dependent on the quality of data used in training.&nbsp\; For AI algori thms used on non-cooperative emitters where only small amounts of observed data is available\, synthetic data is used to develop sufficient number o f training samples to AI training.&nbsp\; Synthesized data has the advanta ge that large volumes of training data can be generated over many scenario s that would be problematic to replicate in operational scenarios (often s imply due to time/cost limitations).&nbsp\; However\, synthesized signal d ata sets are generated with mathematical precision that is not found in ob served signal data.&nbsp\; Recent research that focused on applying AI to radar signal processing I/Q data highlighted the limitations of direct AI approaches: AI applied without incorporating system level considerations y ielded high performance with synthetic training data but very poor perform ance when data reflective of a broader operational context was processed b y the trained algorithm.&nbsp\; &nbsp\;This presentation will summarize re cent research where system level domain expertise was applied both to the development of the synthetic training data and to the training methodology .&nbsp\;&nbsp\;</p>\n<p class="xmsonormal"><strong>Biography: </strong>Dav id Brown is a chief engineer at Southwest Research Institute where he lead s cognitive EW research and development. His research interests are center ed on applied cognitive EW\, including methodologies to push AI/ML algorit hms to the sensor edge. Prior to SwRI\, he held a variety of EW related R& amp\;D positions and was an adjunct professor at the Georgia Institute of Technology. In addition to engineering\, David gained practical experience in EW in flight as a B-1B WSO. David is a Distinguished Graduate of the J oint Electronic Warfare Officer School and is the recipient of the AOC EW Pioneer Award and RF Award. He served as Sensor Open Systems Architecture (SOSA) Low Latency Subcommittee co-chair\, focusing on Open EW specific co ncerns. David is an IEEE Systems Council Distinguished Lecturer and active in the AOC.&nbsp\;</p>\n<p class="xmsonormal">&nbsp\;</p>\n<p class="xmso normal"><strong>Parking</strong></p>\n<p class="xmsonormal">Limited metere d street parking nearby\, alternatively we recommend public transport or p aid parking available under Southbank Parklands. Alternatively\, the venue is a short walk from South Bank Train Station or Mater Hill bus station.< /p> END:VEVENT END:VCALENDAR