Sunday, June 23Sunday, June 23 8:00 - 4:00 (America/Los_Angeles)Arrival DaySunday, June 23 4:00 - 5:00 (America/Los_Angeles)RegistrationRoom: Ballroom Foyer Sunday, June 23 5:30 - 6:30 (America/Los_Angeles)ReceptionRoom: Venice 1 Monday, June 24Monday, June 24 8:00 - 8:30 (America/Los_Angeles)RegistrationRoom: Ballroom Foyer Monday, June 24 8:30 - 9:00 (America/Los_Angeles)WelcomeRoom: Venice 3-4 Monday, June 24 9:00 - 10:00 (America/Los_Angeles)Keynote 1: Role of AI-ML in SoSE to Support Human Decision MakingPaul Hershey, RTX, USA Room: Venice 3-4Commercial and military systems have evolved into complex Systems of Systems (SoS) that incorporate advanced and diverse technologies. Associated with these SoS are emerging behaviors that require decision support well beyond the capacity of human reasoning alone. To fill this gap, Artificial Intelligence and Machine Learning (AI/ML) can assist SoS Engineering with respect to operationally realizing the full potential (e.g., speed, scale, and accuracy) of the capabilities offered by these SoS. This presentation provides a review of the concepts of complex SoS and emergent behavior, discusses the fundamentals of AI/ML, and then ties these together to demonstrate the role of AI/ML in SoSE through specific commercial and military use cases. These use cases include: Object Recognition and Detection Enhancement via Reinforcement Learning Yield (ORDERLY). ORDERLY is an AI/ML-based capability that supports SoSE by autonomously screening massive collections of sensor data from SoS and transforming this raw data into actionable information. Disaggregated Distributed AI Chat Enabler (D2ACE) System. D2ACE applies AI/ML techniques to Chat-based SoS. D2CRaB supports SoSE by correcting spelling, typos, and other corruption in chat messages, recognizing uncommon language formats, and autonomously prioritizing and reducing the quantity of chat messages to only those relevant to specific objectives and intent for a given mission. Distributed Disaggregated Communications via Reinforcement Learning and Backpressure (D2CRaB): D2CRaB is an AL/ML capability that supports SoSE for Communications. D2CRaB introduces two new advances to address problem of effectively communicating within distributed and disaggregated operational environments. These new techniques resolve the immediate congestion issue and then assist with maintaining congestion free network traffic. In summary, through this background information and these use cases, the audience will emerge from this presentation with a focused understanding of AI's role in SoSE with respect to supporting human decision-making for complex, emergent SoS. Monday, June 24 10:00 - 10:15 (America/Los_Angeles)Tea/CoffeeMonday, June 24 10:15 - 11:45 (America/Los_Angeles)Panel: The Impact of Advanced Technologies on SoSE- Judith Dahmann Room: Venice 3-4- Alan Harding - Sky Matthews - John Palmer - Garry Roedler (Moderator) Advances in technology - distributed systems, digital engineering, big data, cloud computing and of course, artificial intelligence - are all profoundly affecting today's systems both the systems themselves and the approach to engineering these systems. Systems of systems are similarly affected - and the impacts in some cases may be amplified for systems of systems given their complexity, emergence, and evolving functionality/behavior. New technologies may lead to new or unexpected system architectures, patterns or, in the case of AI, evolving behaviors. This panel will look at the impacts on systems of systems from the introduction of new or advanced technologies. This includes the challenges the technologies bring to SoS and considerations for managing the challenges. Monday, June 24 11:45 - 1:00 (America/Los_Angeles)LunchMonday, June 24 1:00 - 2:30 (America/Los_Angeles)S1A: Session 1ARoom: Venice 1
Monday, June 24 1:00 - 2:30 (America/Los_Angeles)S1B: Session 1BRoom: Venice 2
Monday, June 24 2:30 - 2:45 (America/Los_Angeles)Tea/CoffeeMonday, June 24 2:45 - 3:45 (America/Los_Angeles)Keynote 2: Integrating Worlds: Systems of Systems in the Era of Telexistence and the Telepresence SocietyPrincipal Robotics Engineer, NASA JPL Room: Venice 3-4Telepresence, the extension of human ‘presence' beyond their immediate physical surroundings, has significant implications for a multitude of possible futures. In almost all scenarios, we will witness the emergence of a telepresence economy and, more broadly, a telepresence society. When this presence extends to virtual worlds, it is commonly referred to as ‘telexistence,' encompassing extensions of our presence through both physical and virtual avatars. With remote presence, truly ‘the sky is the limit,' as activities expand beyond Earth's surface. A space economy has indeed been ignited, albeit currently limited to Earth's orbit (envisage communication and Earth-observing satellites, and sub-orbital flights as the seeds of space tourism). A lunar economy, or more specifically, an economy in cis-lunar space, is expected to follow within the next 2-3 decades, driven by space robots and telepresence. These space robots will possess high levels of autonomy and, eventually, superior intelligence. However, until that advanced stage is reached, they will be teleoperated or tele-supervised by humans. Beyond being instrumental in completing tasks, human interaction is crucial, as machines will learn from human demonstrations and exemplifications, a process I refer to as ‘interpolative intelligence.' This talk will project us into some of the possible futures in which telexistence will profoundly transform our society. A new fabric of systems of systems is thus woven, as the singular space of operation for an individual extends to a multiplicity of remote spaces, concurrently, or more realistically, through time-multiplexing, as our abilities for concurrent processing are, at least for now, rather limited. Monday, June 24 3:45 - 4:00 (America/Los_Angeles)Tea/CoffeeMonday, June 24 4:00 - 5:30 (America/Los_Angeles)S2A: Session 2ARoom: Venice 1
Monday, June 24 4:00 - 5:30 (America/Los_Angeles)S2B: Session 2BRoom: Venice 2
Tuesday, June 25Tuesday, June 25 8:30 - 9:00 (America/Los_Angeles)RegistrationRoom: Ballroom Foyer Tuesday, June 25 9:00 - 10:00 (America/Los_Angeles)Keynote 3: Reasoning About the Future of AI in Systems EngineeringSky Matthews, IBM Watson, USA Room: Venice 3-4AI has jumped to the forefront of our collective psyche in the past year. In some ways this looks much like the early stages of the typical technology hype cycle. But we also see indications of something quite unique, something that will transform the way we work unlike anything else in recent history. As Yogi Berra and Neils Bohr both observed, making predictions is difficult, especially about the future. Instead we will look at impacts already happening, unique characteristics of AI that make it unlike other technology waves, identify some of the well-known and lesser-known risks, and attempt to extrapolate a bit about the next steps in Systems Engineering with AI and for AI. We will end this thought-provoking session with a discussion of the most critical obstacle to the application of AI in Systems Engineering. Tuesday, June 25 10:00 - 10:15 (America/Los_Angeles)Tea/CoffeeTuesday, June 25 10:15 - 11:45 (America/Los_Angeles)Panel: Panel on Application of AI/ML in SoSE to Support Human Decision Making- Mu-Cheng Wang Room: Venice 3-4- Haifeng Zhu - Sky Matthews - Paul Hershey (Moderator) The panel will debate these topics in the settings of complex, emergent SoS for both commercial and military operational environments. To guide the discussion, the panel will:
Tuesday, June 25 11:45 - 1:00 (America/Los_Angeles)LunchTuesday, June 25 1:00 - 2:00 (America/Los_Angeles)Keynote 4: Lifecycle roles of AI in Systems of SystemsJohn Palmer, Senior Technical Fellow for Boeing Room: Venice 3-4Tuesday, June 25 2:00 - 2:15 (America/Los_Angeles)Tea/CoffeeTuesday, June 25 2:15 - 3:45 (America/Los_Angeles)S3A: Session 3ARoom: Venice 1
Tuesday, June 25 2:15 - 3:45 (America/Los_Angeles)S3B: Session 3BRoom: Venice 2
Tuesday, June 25 3:45 - 4:00 (America/Los_Angeles)Tea/CoffeeTuesday, June 25 4:00 - 5:30 (America/Los_Angeles)S4A: Session 4ARoom: Venice 1
Tuesday, June 25 4:00 - 5:30 (America/Los_Angeles)S4B: Session 4BRoom: Venice 2
Tuesday, June 25 7:00 - 9:00 (America/Los_Angeles)BanquetRoom: Ballroom Foyer Wednesday, June 26Wednesday, June 26 9:00 - 10:00 (America/Los_Angeles)Keynote 5: Beyond Technology: Thinking Holistically about Artificial Intelligence for Systems EngineeringMarilee Wheaton, INCOSE, USA Room: Venice 3-4Systems Engineering is in the midst of a digital transformation driven by advanced modeling tools, data integration, and digital twins. Engineering disciplines are seeing transformational advances in the use of artificial intelligence and machine learning to elevate systems engineering processes. AI in systems engineering enables more efficient processing of large datasets, enhanced decision-making, and automation of routine engineering tasks. At the same time, applying AI and ML to complex and critical systems needs holistic, system-oriented approaches. Technical challenges include ensuring data quality, implementation of algorithm complexity, and integration with existing systems. It is imperative that the SE community not only understand emerging AI and ML technologies and applications, but we need to incorporate them into our processes, methods and tools, and ensure that holistic SE approaches are used to make AI systems ethical, reliable, safe, and secure. Wednesday, June 26 10:00 - 10:15 (America/Los_Angeles)Tea/CoffeeWednesday, June 26 10:15 - 11:15 (America/Los_Angeles)S5B: Session 5B (URL: https://rit.zoom.us/j/97140408996)Room: Venice 1
Wednesday, June 26 11:45 - 1:00 (America/Los_Angeles)Closing and SoSE 2025Room: Venice 3-4 |