BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Pacific BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20241008T222643Z UID:51F06DB9-117F-4719-872B-86CBA7D49B72 DTSTART;TZID=US/Pacific:20240918T183000 DTEND;TZID=US/Pacific:20240918T203000 DESCRIPTION:Event Details\n\nThe aerospace industry has witnessed significa nt interest/activity in the use of autonomous solutions\, across military and commercial applications. Driven by safety\, efficiency and performance \, and capability extension\, these span a wide range\, from Urban Air Mob ility\, to Cargo Operations\, to military ISR missions\, to Search and Res cue. There are many challenges to widespread adoption including technical\ , regulatory and societal (acceptance) considerations.\n\nThis talk descri bes some of the key technical challenges in aerospace autonomy\, e.g.\, (a irborne) conflict detection and resolution\, contingency management\, veri fication and validation approaches\, etc. The talk also surveys ongoing wo rk in the industry in addressing these challenges\, including vehicle plat forms currently under development.\n\nThe focus is on the algorithmic and software aspects - as an example\, the use of Partially Observable Markov Decision Processes\, in the development of conflict detection and resoluti on solutions\, now codified in RTCA standards. On a related note\, while D eep Learning has been widely adopted in automobile autonomy\, challenges r elating to vehicle certification limits its usage to safety-critical aeros pace applications. The challenges and opportunities here are also discusse d. Finally\, the talk touches upon the regulatory landscape and the work b eing done in the FAA and EASA towards enabling an autonomous aerospace fut ure.\n\nAbout the Speaker\, Bala Chidambaram\n\nBala Chidambaram is the Ex ecutive Director and Chief Engineer of Autonomy in the CTO’s Office at B oeing. In this role\, he is responsible for defining and executing Boeing ’s autonomy strategy across a variety of commercial and military program s. In his 25 year career at Boeing\, Bala has held leadership roles in sev eral areas\, including modeling and simulation\, electro-hydraulic actuati on systems\, software standards for vehicle health management\, and secure connectivity solutions. His teams have supported platforms including the C-17 Globemaster III\, the CH-47 Chinook\, the V-22 Osprey\, the Internati onal Space Station\, the 787 Dreamliner\, the 777X\, and various Unmanned Vehicles. Bala has a Bachelor's degree in Engineering from the Indian Inst itute of Technology\, Madras\, a Ph.D. in Engineering from the University of California at Berkeley.\n\nNOTE: This is an IN PERSON meeting and you s hould resigster if you plan on attending. To receive a link to the event's recording\, complete the survey referenced in the header or footer\; you do not need to register to receive the link to the recording.\n\nCo-sponso red by: OC ACM [Actual Host] and Knobbe Martens\, an Intellectual Property & Technology law firm [Physical Host Donor]\n\nAgenda: \n6:30 PM Networki ng at physical meeting location\n7:00 PM Announcements and Presentation wi th Q&A\n8:00 PM Follow-up quesitons for presenter and networking\n8:30 PM Meeting Adjourned\n\n2040 Main St \, Ste 14\, Irvine\, California\, United States LOCATION:2040 Main St \, Ste 14\, Irvine\, California\, United States ORGANIZER:AWBrown@USC.edu SEQUENCE:102 SUMMARY:"Aerospace Autonomy" IEEE OCCS & OC ACM Meeting URL;VALUE=URI:https://events.vtools.ieee.org/m/434359 X-ALT-DESC:Description: <br /><p><span style="text-decoration: underline\;" ><strong>Event</strong> <strong>Details</strong></span><strong> &nbsp\;</s trong></p>\n<p>The aerospace industry has witnessed significant interest/a ctivity in the use of autonomous solutions\, across military and commercia l applications. Driven by safety\, efficiency and performance\, and capabi lity extension\, these span a wide range\, from Urban Air Mobility\, to Ca rgo Operations\, to military ISR missions\, to Search and Rescue. There ar e many challenges to widespread adoption including technical\, regulatory and societal (acceptance) considerations.</p>\n<p>This talk describes some of the key technical challenges in aerospace autonomy\, e.g.\, (airborne) conflict detection and resolution\, contingency management\, verification and validation approaches\, etc. The talk also surveys ongoing work in th e industry in addressing these challenges\, including vehicle platforms cu rrently under development.</p>\n<p>The focus is on the algorithmic and sof tware aspects - as an example\, the use of Partially Observable Markov Dec ision Processes\, in the development of conflict detection and resolution solutions\, now codified in RTCA standards. On a related note\, while Deep Learning has been widely adopted in automobile autonomy\, challenges rela ting to vehicle certification limits its usage to safety-critical aerospac e applications. The challenges and opportunities here are also discussed. Finally\, the talk touches upon the regulatory landscape and the work bein g done in the FAA and EASA towards enabling an autonomous aerospace future .</p>\n<p><strong><span style="text-decoration: underline\;">About the Spe aker\,</span> Bala Chidambaram</strong></p>\n<p>Bala Chidambaram is the Ex ecutive Director and Chief Engineer of Autonomy in the CTO&rsquo\;s Office at Boeing. In this role\, he is responsible for defining and executing Bo eing&rsquo\;s autonomy strategy across a variety of commercial and militar y programs. In his 25 year career at Boeing\, Bala has held leadership rol es in several areas\, including modeling and simulation\, electro-hydrauli c actuation systems\, software standards for vehicle health management\, a nd secure connectivity solutions. His teams have supported platforms inclu ding the C-17 Globemaster III\, the CH-47 Chinook\, the V-22 Osprey\, the International Space Station\, the 787 Dreamliner\, the 777X\, and various Unmanned Vehicles. Bala has a Bachelor's degree in Engineering from the In dian Institute of Technology\, Madras\, a Ph.D. in Engineering from the Un iversity of California at Berkeley.</p>\n<p><span style="text-decoration: underline\;"><strong>NOTE:</strong></span>&nbsp\; This is an IN PERSON mee ting and you should resigster if you plan on attending.&nbsp\; <strong>To receive a link to the event's <span style="text-decoration: underline\;">r ecording</span>\, complete the survey referenced in the header or footer\; you do not need to register to receive the link to the recording.</strong ></p><br /><br />Agenda: <br /><p><span class="aBn" tabindex="0" data-term ="goog_557201553"><span class="aQJ">6:30 PM Networking at physical meeting location<br></span></span><span class="aBn" tabindex="0" data-term="goog_ 557201553"><span class="aQJ">7:00 PM</span></span> Announcements and Prese ntation with Q&amp\;A<br>8:00 PM Follow-up quesitons for presenter and net working<br>8:30 PM Meeting Adjourned</p> END:VEVENT END:VCALENDAR