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challenges.\u003C/p>","2026-03-02T22:57:15.834Z","2026-03-02T22:57:17.030Z","2026-03-02T22:57:17.020Z","90",{"id":309,"name":505,"alternativeText":16,"caption":16,"width":506,"height":507,"formats":508,"hash":535,"ext":20,"mime":23,"size":536,"url":537,"previewUrl":16,"provider":30,"provider_metadata":16,"createdAt":538,"updatedAt":538},"Caltech.png",1332,144,{"large":509,"small":516,"medium":523,"thumbnail":530},{"ext":20,"url":510,"hash":511,"mime":23,"name":512,"path":16,"size":513,"width":514,"height":515},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/large_Caltech_1cf67f5510.png","large_Caltech_1cf67f5510","large_Caltech.png",57.29,1000,108,{"ext":20,"url":517,"hash":518,"mime":23,"name":519,"path":16,"size":520,"width":521,"height":522},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/small_Caltech_1cf67f5510.png","small_Caltech_1cf67f5510","small_Caltech.png",23.95,500,54,{"ext":20,"url":524,"hash":525,"mime":23,"name":526,"path":16,"size":527,"width":528,"height":529},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/medium_Caltech_1cf67f5510.png","medium_Caltech_1cf67f5510","medium_Caltech.png",39.4,750,81,{"ext":20,"url":531,"hash":532,"mime":23,"name":533,"path":16,"size":534,"width":45,"height":411},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/thumbnail_Caltech_1cf67f5510.png","thumbnail_Caltech_1cf67f5510","thumbnail_Caltech.png",9.97,"Caltech_1cf67f5510",11.84,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/Caltech_1cf67f5510.png","2026-03-02T22:56:29.675Z",{"id":386,"variation":53,"button":540},[541],{"id":542,"label":543,"size":58,"color":59,"style":16,"icon":544,"iconPosition":61,"url":545,"newWindow":8,"downloadable":16,"shape":16},38,"View Website","ChevronRightIcon","https://ctme.caltech.edu/","-49",{"id":68,"name":548,"description":75,"createdAt":549,"updatedAt":550,"publishedAt":551,"url_path_id":552,"logo":553,"website":588,"url_path":594},"Quanser","2026-03-27T13:47:39.044Z","2026-03-27T13:47:40.246Z","2026-03-27T13:47:40.226Z","101",{"id":554,"name":555,"alternativeText":16,"caption":16,"width":556,"height":557,"formats":558,"hash":583,"ext":20,"mime":23,"size":584,"url":585,"previewUrl":16,"provider":30,"provider_metadata":16,"createdAt":586,"updatedAt":587},53,"full colour_light background_no tagline.png",6525,1350,{"large":559,"small":565,"medium":571,"thumbnail":577},{"ext":20,"url":560,"hash":561,"mime":23,"name":562,"path":16,"size":563,"width":514,"height":564},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/large_full_colour_light_background_no_tagline_e41b6d2b70.png","large_full_colour_light_background_no_tagline_e41b6d2b70","large_full colour_light background_no tagline.png",26.39,207,{"ext":20,"url":566,"hash":567,"mime":23,"name":568,"path":16,"size":569,"width":521,"height":570},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/small_full_colour_light_background_no_tagline_e41b6d2b70.png","small_full_colour_light_background_no_tagline_e41b6d2b70","small_full colour_light background_no tagline.png",12.1,103,{"ext":20,"url":572,"hash":573,"mime":23,"name":574,"path":16,"size":575,"width":528,"height":576},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/medium_full_colour_light_background_no_tagline_e41b6d2b70.png","medium_full_colour_light_background_no_tagline_e41b6d2b70","medium_full colour_light background_no tagline.png",19.12,155,{"ext":20,"url":578,"hash":579,"mime":23,"name":580,"path":16,"size":581,"width":45,"height":582},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/thumbnail_full_colour_light_background_no_tagline_e41b6d2b70.png","thumbnail_full_colour_light_background_no_tagline_e41b6d2b70","thumbnail_full colour_light background_no tagline.png",5.53,51,"full_colour_light_background_no_tagline_e41b6d2b70",54.27,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/full_colour_light_background_no_tagline_e41b6d2b70.png","2026-03-27T13:46:52.901Z","2026-03-27T13:47:11.809Z",{"id":219,"variation":53,"button":589},[590],{"id":591,"label":592,"size":58,"color":59,"style":16,"icon":544,"iconPosition":61,"url":593,"newWindow":8,"downloadable":16,"shape":16},39,"Visit Website","http://www.quanser.com/","-57",{"pagination":596},{"page":5,"pageSize":225,"pageCount":5,"total":68},{"id":135,"heading":598,"pageHeader":599,"sections":601},"Special Sessions",{"id":135,"description":600,"showPageHeader":8,"backgroundColor":80,"image":16},"The Special Session paper submission deadline has been extended to December 21, 2025.",[602,843],{"id":5,"__component":603,"componentVariation":604,"contactsVariation":605,"styles":16,"header":16,"sessionsGroup":606},"content.sessions","Sessions Base","Card Contact Full",[607],{"id":5,"groupTitle":598,"sessions":608},[609,648,699,784,825],{"id":124,"session":610},{"id":124,"title":611,"teaser":612,"body":613,"createdAt":614,"updatedAt":615,"publishedAt":616,"url_path_id":617,"contacts":618,"url_path":647},"The 8th Special Session: Aerospace Systems, Adaptive Systems and AI","\u003Ch4 class=\"h4\" style=\"margin-left:0px;\">EXTENDED DEADLINE: January 4, 2026\u003C/h4>\u003Cp style=\"margin-left:0px;\">Aerospace products are often complex and pose significant challenges to systems engineering, in particular safety issues. This special session welcomes discussions on systems engineering issues related to aerospace domain.  Authors may submit theoretical or practical use case papers in the aerospace area or other areas where the solutions can also be used by aerospace applications.\u003C/p>\u003Cp style=\"margin-left:0px;\">Observing the recent progresses in adaptive/adaptable systems and AI, topics that are also related with aerospace systems, this session also calls papers in these areas. \u003C/p>\u003Ch4 class=\"h4\" style=\"margin-left:0px;\">\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://edas.info/newPaper.php?c=34276&track=133714\" download=\"download\">\u003Cstrong>\u003Cu>Submit a Paper\u003C/u>\u003C/strong>\u003C/a>     \u003C/h4>\u003Cp style=\"margin-left:0px;\">\u003Cstrong>Additional Resources/FAQ:\u003C/strong>\u003C/p>\u003Cp style=\"margin-left:0px;\">Information on related topics includes but is not limited to:\u003C/p>\u003Col>\u003Cli>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://sebokwiki.org/wiki/System_Adaptability\">\u003Cspan style=\"color:blue;\">\u003Cstrong>\u003Cu>IEEE/INCOSE: Systems Engineering Body of Knowledge on System Adaptability\u003C/u>\u003C/strong>\u003C/span>\u003C/a>\u003C/li>\u003Cli>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://www.incose.org/communities/working-groups-initiatives/systems-adaptability\">\u003Cspan style=\"color:blue;\">\u003Cstrong>\u003Cu>INCOSE System Adaptability Workgroup\u003C/u>\u003C/strong>\u003C/span>\u003C/a>\u003C/li>\u003Cli>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://sites.mit.edu/cas2025/\">\u003Cspan style=\"color:blue;\">\u003Cstrong>\u003Cu>Complex Adaptive Systems Conference 2025 (at MIT)\u003C/u>\u003C/strong>\u003C/span>\u003C/a>\u003C/li>\u003C/ol>","\u003Cp style=\"margin-left:0px;\">Topics in scope with aerospace systems include but are not limited to:\u003C/p>\u003Cul>\u003Cli>Aerospace Systems Development Issues\u003C/li>\u003Cli>Requirements and Architecture\u003C/li>\u003Cli>Environmental and Environmental Health Issues\u003C/li>\u003Cli>Aerospace System Safety, PHM\u003C/li>\u003Cli>Physics Modeling, Simulation and Analysis\u003C/li>\u003Cli>Systems Integration & Verification\u003C/li>\u003Cli>Autonomous Aerospace Systems \u003C/li>\u003Cli>Sensors, Robotic Systems\u003C/li>\u003Cli>Aerospace Integration & Application\u003C/li>\u003Cli>Aerospace System Human Interfaces\u003C/li>\u003Cli>Cybersecurity\u003C/li>\u003Cli>Aerospace Communication Systems\u003C/li>\u003C/ul>\u003Cp style=\"margin-left:0px;\">Topics in scope with adaptive/adaptable systems and AI include but are not limited to:\u003C/p>\u003Cul>\u003Cli>Adaptive and Adaptable Systems Engineering\u003C/li>\u003Cli>Engineering with Uncertain Requirements\u003C/li>\u003Cli>Switching Cost Estimation\u003C/li>\u003Cli>Resilient Systems\u003C/li>\u003Cli>System Adaptability \u003C/li>\u003Cli>(AI Assisted) Adaptive System Safety and Reliability\u003C/li>\u003Cli>Modeling of Adaptability in Complex Systems\u003C/li>\u003Cli>Adaptable Software & System Interface\u003C/li>\u003Cli>Adaptability Heuristics\u003C/li>\u003Cli>Adaptable Architectures\u003C/li>\u003Cli>Model-Base Adaptable System Design\u003C/li>\u003Cli>Trade-Off Study Theory, Method and Tools\u003C/li>\u003Cli>Risk Management with Adaptation\u003C/li>\u003Cli>Adaptive Control\u003C/li>\u003Cli>Agent Systems Modeling and Simulations\u003C/li>\u003Cli>Adaptive System Complexity\u003C/li>\u003Cli>Adaptability in INCOSE SE Vision 2035\u003C/li>\u003Cli>System Perspectives of AI\u003C/li>\u003Cli>AI-Driven Tools for Systems\u003C/li>\u003Cli>AI-Driven Analytics for Systems\u003C/li>\u003Cli>AI-Driven Diagnostics for Systems\u003C/li>\u003Cli>Intelligent Cybersecurity Technologies\u003C/li>\u003Cli>AI Systems Ethics  \u003C/li>\u003C/ul>","2025-11-21T16:47:28.483Z","2025-12-18T21:45:41.760Z","2025-11-21T16:47:29.627Z","73",[619,626,633,640],{"id":279,"name":620,"committee":16,"position":16,"affiliation":621,"email":16,"biography":75,"createdAt":622,"updatedAt":622,"url_path_id":623,"contactPhoto":16,"socialLinks":624,"url_path":625},"Haifeng Zhu ","BAE Systems","2025-11-21T16:44:42.518Z","69",[],"-33",{"id":35,"name":627,"committee":16,"position":16,"affiliation":628,"email":16,"biography":75,"createdAt":629,"updatedAt":629,"url_path_id":630,"contactPhoto":16,"socialLinks":631,"url_path":632},"Henry Yeh ","California State University","2025-11-21T16:45:16.111Z","70",[],"-34",{"id":14,"name":634,"committee":16,"position":16,"affiliation":635,"email":16,"biography":75,"createdAt":636,"updatedAt":636,"url_path_id":637,"contactPhoto":16,"socialLinks":638,"url_path":639},"Naval Agarwal","Boeing","2025-11-21T16:45:32.807Z","71",[],"-35",{"id":285,"name":641,"committee":16,"position":16,"affiliation":642,"email":16,"biography":75,"createdAt":643,"updatedAt":643,"url_path_id":644,"contactPhoto":16,"socialLinks":645,"url_path":646},"Paul Hershey","Raytheon IIS","2025-11-21T16:45:52.270Z","72",[],"-36","-37",{"id":5,"session":649},{"id":5,"title":650,"teaser":651,"body":652,"createdAt":653,"updatedAt":654,"publishedAt":655,"url_path_id":656,"contacts":657,"url_path":698},"Special Session: System Architecture Optimization","\u003Cp>This Special Session focuses on System Architecture Optimization (SAO) — highlighting recent advances and emerging directions in integrating architecture modeling, evaluation, and optimization within complex engineering systems.\u003C/p>\u003Cp>System Architecture Optimization (SAO) applies numerical optimization algorithms to the generation and evaluation of system architectures. This enables exploration of extremely large combinatorial design spaces often present in architecture design problems, many of which require simulation-based evaluation.\u003C/p>\u003Ch4 class=\"h4\">\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://edas.info/newPaper.php?c=34276&track=134292\">Submit a Paper\u003C/a>\u003C/h4>","\u003Cp>The session welcomes research presenting novel processes, methods, and tools in the field of SAO, as well as application cases that demonstrate its benefits in real-world contexts.\u003C/p>\u003Cp>Topics of Interest include (but are not limited to):\u003C/p>\u003Cul>\u003Cli>Architecture design space modeling\u003C/li>\u003Cli>Architecture generation, evaluation, filtering, and optimization algorithms\u003C/li>\u003Cli>Optimization algorithms for SAO\u003C/li>\u003Cli>Integration with architecture evaluation code and/or platforms, including Multidisciplinary Design Analysis and Optimization (MDAO) platforms\u003C/li>\u003Cli>Integration with Model-Based Systems Engineering (MBSE) methods and tools\u003C/li>\u003Cli>Decision-making strategies for SAO\u003C/li>\u003Cli>Applications of SAO\u003C/li>\u003C/ul>","2025-11-03T21:05:55.722Z","2025-11-21T16:51:56.550Z","2025-11-03T21:06:02.366Z","59",[658,682,691],{"id":335,"name":659,"committee":16,"position":16,"affiliation":660,"email":16,"biography":661,"createdAt":662,"updatedAt":663,"url_path_id":664,"contactPhoto":665,"socialLinks":680,"url_path":681},"Jasper Bussemaker","DLR Institute of System Architectures","\u003Cp>Jasper Bussemaker researches System Architecture Optimization and its integration with MBSE and MDAO at the DLR Institute of System Architectures in Aeronautics in Hamburg, Germany. He is developing methods and software for modeling architecture design spaces, using MDO to evaluate candidate architectures, and solving architecture optimization problems. In 2025, he successfully defended his PhD on this topic at Delft University of Technology.\u003C/p>","2025-11-03T21:02:33.634Z","2025-11-05T21:23:25.289Z","57",{"id":347,"name":666,"alternativeText":16,"caption":16,"width":667,"height":667,"formats":668,"hash":676,"ext":670,"mime":673,"size":677,"url":678,"previewUrl":16,"provider":30,"provider_metadata":16,"createdAt":679,"updatedAt":679},"Jasper Bussemaker.jpg",200,{"thumbnail":669},{"ext":670,"url":671,"hash":672,"mime":673,"name":674,"path":16,"size":675,"width":26,"height":26},".jpg","https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/thumbnail_Jasper_Bussemaker_bb145eb99a.jpg","thumbnail_Jasper_Bussemaker_bb145eb99a","image/jpeg","thumbnail_Jasper Bussemaker.jpg",4.68,"Jasper_Bussemaker_bb145eb99a",6.84,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/Jasper_Bussemaker_bb145eb99a.jpg","2025-11-05T21:23:22.207Z",[],"-22",{"id":124,"name":683,"committee":16,"position":16,"affiliation":684,"email":16,"biography":685,"createdAt":686,"updatedAt":687,"url_path_id":688,"contactPhoto":16,"socialLinks":689,"url_path":690},"Santiago Valencia-Ibáñez","Concordia University","\u003Cp>Santiago Valencia-Ibañez is a PhD student at the Aircraft Systems Lab at Concordia University in Montreal, Canada, supervised by Dr. Susan Liscouet-Hanke. His research focuses on extending MBSE methodologies and tools by integrating them with System Architecture Optimization for aircraft system design. He holds a master’s degree in aerospace engineering from Delft University of Technology and bachelor’s degrees in mechanical engineering and physics from Universidad de los Andes.\u003C/p>","2025-11-03T21:01:42.912Z","2025-11-03T21:02:47.214Z","56",[],"-21",{"id":142,"name":692,"committee":16,"position":16,"affiliation":684,"email":16,"biography":693,"createdAt":694,"updatedAt":694,"url_path_id":695,"contactPhoto":16,"socialLinks":696,"url_path":697},"Susan Liscouet-Hanke","\u003Cp>Susan Liscouet-Hanke is an Associate Professor of Aerospace Engineering at Concordia University in Montreal, Canada, where she leads the Aircraft Systems Research Lab. Her research focuses on developing methodologies and tools for the design of next-generation aircraft and their subsystems. She has a particular interest in systems architecting methodologies.\u003C/p>","2025-11-03T21:03:20.645Z","58",[],"-23","-24",{"id":68,"session":700},{"id":68,"title":701,"teaser":702,"body":703,"createdAt":704,"updatedAt":705,"publishedAt":706,"url_path_id":707,"contacts":708,"url_path":783},"Special Session: Digitalization and Intelligence-Driven Systems Engineering Methods","\u003Cp>The development of modern systems has grown increasingly complex due to rising demands for enhanced sustainability, sophisticated features, seamless technological integration, and accelerated production timelines. These evolving requirements present significant challenges in maintaining consistency, traceability, and agility across the development lifecycle.\u003C/p>\u003Cp>This Special Session focuses on digitalization and intelligence-driven methods that enable the transformation of Systems Engineering (SE) toward a more model-based, integrated, and data-continuous paradigm. It explores how digital technologies, artificial intelligence (AI), and multidisciplinary optimization can be integrated within SE frameworks to enhance decision-making, collaboration, and lifecycle integration across complex engineering domains such as automotive, aerospace, and transportation systems.\u003C/p>\u003Ch4 class=\"h4\">\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://edas.info/newPaper.php?c=34276&track=134291\">Submit a Paper\u003C/a>\u003C/h4>","\u003Cp>Model-Based Systems Engineering (MBSE) is increasingly adopted across industrial sectors to manage this growing complexity. While both practitioners and researchers recognize the benefits of MBSE—such as improved cross-disciplinary collaboration and enhanced system traceability—its adoption also presents challenges, including limited tool proficiency and a shortage of skilled professionals.\u003C/p>\u003Cp>MBSE enables concurrent work among diverse engineering domains, emphasizing consistency, traceability, and digital continuity across the system lifecycle. By establishing a digital thread that connects models, simulations, and data from design to validation, MBSE facilitates the integration of simulation models and workflows for virtual testing and product validation. A robust MBSE approach relies on calibrated, verified, and validated simulation models, as well as reproducible workflows that incorporate capabilities such as uncertainty quantification.\u003C/p>\u003Cp>Traditional Multidisciplinary Design Analysis and Optimization (MDAO) techniques rely on iterative evaluation of high-fidelity simulation models, often making the process computationally expensive. Design Space Exploration (DSE) techniques extend this approach by providing deeper insights into feasible solutions and trade-offs rather than focusing solely on a single optimal outcome. Optimization processes in this context typically address factors such as weight, sizing, propulsion, and trajectory, while multi-objective optimization methods map design variables and performance metrics to objectives and constraints—often employing surrogate modeling and approximation techniques to reduce computational cost.\u003C/p>\u003Cp>Furthermore, artificial intelligence (AI) techniques are increasingly integrated into these workflows, supporting tasks such as automated scenario generation from operational design domain models and automated parameter selection. These AI-enabled capabilities enhance efficiency, scalability, and intelligence in modern engineering processes.\u003C/p>\u003Cp>Topics of Interest include (but are not limited to):\u003C/p>\u003Cul>\u003Cli>Systems Engineering (SE)\u003C/li>\u003Cli>Digital Engineering (DE)\u003C/li>\u003Cli>Model-Based Systems Engineering (MBSE)\u003C/li>\u003Cli>Multidisciplinary Design Analysis and Optimization (MDAO)\u003C/li>\u003Cli>Modeling and Simulation (M&S)\u003C/li>\u003Cli>AI for Systems Engineering (AI4SE)\u003C/li>\u003Cli>Digital Continuity\u003C/li>\u003Cli>Digital Threads\u003C/li>\u003Cli>Holistic system design frameworks (integration of MBSE, MDAO, AI, etc.)\u003C/li>\u003Cli>AI-enabled decision support and knowledge management in system development\u003C/li>\u003Cli>Digital continuity and data interoperability across lifecycle phases\u003C/li>\u003Cli>Enabling platforms and architectures for model- and data-centric engineering\u003C/li>\u003Cli>Ontology-based and graph-based approaches to engineering integration\u003C/li>\u003Cli>Applications in automotive, aerospace, and industrial systems\u003C/li>\u003Cli>Case studies of digital thread or digital twin implementation in complex systems\u003C/li>\u003Cli>Human-in-the-loop and explainable AI in engineering environments\u003C/li>\u003C/ul>","2025-11-03T21:10:32.208Z","2025-11-21T16:51:22.187Z","2025-11-03T21:15:59.214Z","63",[709,752],{"id":160,"name":710,"committee":16,"position":16,"affiliation":711,"email":16,"biography":712,"createdAt":713,"updatedAt":714,"url_path_id":715,"contactPhoto":716,"socialLinks":750,"url_path":751},"M. Nejib Moalla","University Lumiere Lyon 2","\u003Cp>M. Nejib Moalla is a full professor at the University Lumière Lyon 2 and the DISP research laboratory in France. His research focuses on model-based engineering as well as the design and integration of artificial intelligence capabilities to support the implementation of system engineering processes (MBSE, MDAO, DSA, surrogate modelling, etc.) during systems development and re-engineering.\u003C/p>","2025-11-03T21:08:04.831Z","2025-12-03T20:32:03.519Z","61",{"id":717,"name":718,"alternativeText":16,"caption":16,"width":719,"height":720,"formats":721,"hash":746,"ext":670,"mime":673,"size":747,"url":748,"previewUrl":16,"provider":30,"provider_metadata":16,"createdAt":749,"updatedAt":749},40,"Nejib Moalla.jpg",1454,2000,{"large":722,"small":728,"medium":734,"thumbnail":740},{"ext":670,"url":723,"hash":724,"mime":673,"name":725,"path":16,"size":726,"width":727,"height":514},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/large_Nejib_Moalla_56dc980bf8.jpg","large_Nejib_Moalla_56dc980bf8","large_Nejib Moalla.jpg",114.96,727,{"ext":670,"url":729,"hash":730,"mime":673,"name":731,"path":16,"size":732,"width":733,"height":521},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/small_Nejib_Moalla_56dc980bf8.jpg","small_Nejib_Moalla_56dc980bf8","small_Nejib Moalla.jpg",21.85,364,{"ext":670,"url":735,"hash":736,"mime":673,"name":737,"path":16,"size":738,"width":739,"height":528},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/medium_Nejib_Moalla_56dc980bf8.jpg","medium_Nejib_Moalla_56dc980bf8","medium_Nejib Moalla.jpg",57.11,545,{"ext":670,"url":741,"hash":742,"mime":673,"name":743,"path":16,"size":744,"width":745,"height":26},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/thumbnail_Nejib_Moalla_56dc980bf8.jpg","thumbnail_Nejib_Moalla_56dc980bf8","thumbnail_Nejib Moalla.jpg",3.42,113,"Nejib_Moalla_56dc980bf8",451.6,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/Nejib_Moalla_56dc980bf8.jpg","2025-12-03T20:31:55.182Z",[],"-25",{"id":78,"name":753,"committee":16,"position":16,"affiliation":754,"email":16,"biography":755,"createdAt":756,"updatedAt":757,"url_path_id":758,"contactPhoto":759,"socialLinks":781,"url_path":782},"M. Tianxiao Xu","CSEP, IVECO Group","\u003Cp>M. Tianxiao XU is researcher in IVECO Group. His research focuses on Model-Based Systems Engineering (MBSE), Multidisciplinary Design Optimization (MDAO), and Artificial Intelligence (AI). He obtained Engineer Degree in Mechatronics and Eco-Conception from Polytech Orléans, France, in 2018. Additionally, he is a member of INCOSE and a CSEP-certified professional.\u003C/p>","2025-11-03T21:08:34.831Z","2025-12-03T20:33:02.259Z","62",{"id":760,"name":761,"alternativeText":16,"caption":16,"width":762,"height":763,"formats":764,"hash":777,"ext":670,"mime":673,"size":778,"url":779,"previewUrl":16,"provider":30,"provider_metadata":16,"createdAt":780,"updatedAt":780},41,"Tianxiao Xu.jpg",536,645,{"small":765,"thumbnail":771},{"ext":670,"url":766,"hash":767,"mime":673,"name":768,"path":16,"size":769,"width":770,"height":521},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/small_Tianxiao_Xu_bb4122be76.jpg","small_Tianxiao_Xu_bb4122be76","small_Tianxiao Xu.jpg",14.74,416,{"ext":670,"url":772,"hash":773,"mime":673,"name":774,"path":16,"size":775,"width":776,"height":26},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/thumbnail_Tianxiao_Xu_bb4122be76.jpg","thumbnail_Tianxiao_Xu_bb4122be76","thumbnail_Tianxiao Xu.jpg",3.28,130,"Tianxiao_Xu_bb4122be76",19.56,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/syscon26/Tianxiao_Xu_bb4122be76.jpg","2025-12-03T20:32:52.372Z",[],"-26","-27",{"id":52,"session":785},{"id":52,"title":786,"teaser":787,"body":788,"createdAt":789,"updatedAt":790,"publishedAt":791,"url_path_id":792,"contacts":793,"url_path":824},"Special Session: Digital Engineering for Resilient and Adaptive Maritime Power and Energy Systems","\u003Cp>Maritime and naval platforms are becoming increasingly complex, requiring a digital transformation in systems engineering to address challenges in survivability, resilience, interoperability, and safety. This Special Session focuses on the application of Digital Engineering principles—including Model-Based Systems Engineering (MBSE), digital twins, and digital threads—to the design, analysis, and operation of maritime power and energy systems.\u003C/p>\u003Cp>We invite contributions that demonstrate how digital methods enhance traceability, integration, and decision-making across the system lifecycle, with emphasis on system-of-systems behavior, data-driven engineering, and cross-domain interoperability.\u003C/p>\u003Ch4 class=\"h4\">\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://edas.info/newPaper.php?c=34276&track=134293\">Submit a Paper\u003C/a>\u003C/h4>","\u003Cp>Topics of Interest include (but are not limited to):\u003C/p>\u003Cul>\u003Cli>Digital Engineering, Model-Based Systems Engineering (MBSE), and Digital Twin/Thread Applications\u003C/li>\u003Cli>Naval and Maritime Power & Energy Architectures\u003C/li>\u003Cli>Shipboard Power Distribution, Conversion, and Protection\u003C/li>\u003Cli>System Architecture, Requirements Engineering, and Lifecycle Traceability\u003C/li>\u003Cli>Physics-Based and Model-Based Modeling & Simulation\u003C/li>\u003Cli>System Integration, Verification, and Validation\u003C/li>\u003Cli>Adaptive, Resilient, and Autonomous Maritime Systems\u003C/li>\u003Cli>Control and Optimization of Marine Power Systems\u003C/li>\u003Cli>Human-System Integration and Human Factors in Maritime Operations\u003C/li>\u003Cli>Cybersecurity and Trusted Communications for Naval Platforms\u003C/li>\u003Cli>Maritime Sensors, Networking, and Internet-of-Things (IoT)\u003C/li>\u003Cli>Multi-Domain Operations and Interoperability Frameworks\u003C/li>\u003C/ul>\u003Cp>Given the contested and dynamic nature of maritime environments, the session also welcomes papers on adaptive systems, adaptable design, and system adaptability. Submissions aligning with the Systems Engineering Body of Knowledge (SEBoK) and emerging Digital Engineering practices are strongly encouraged.\u003C/p>","2025-11-03T21:15:50.790Z","2025-11-21T16:50:57.832Z","2025-11-03T21:15:53.936Z","68",[794,802,809,817],{"id":468,"name":795,"committee":16,"position":16,"affiliation":796,"email":16,"biography":797,"createdAt":798,"updatedAt":798,"url_path_id":799,"contactPhoto":16,"socialLinks":800,"url_path":801},"Matthew D. Bosworth","Center for Advanced Power Systems","\u003Cp>Matthew D. Bosworth is a Senior Associate in Research at the Center for Advanced Power Systems and a Ph.D. candidate in Electrical Engineering at Florida State University. His work integrates Model-Based Systems Engineering (MBSE), digital engineering, and electromagnetic transient (EMT) simulation to advance real-time modeling, hardware-in-the-loop testing, and interoperability for naval and grid-connected power systems.\u003C/p>\u003Cp>His research develops an ontology-driven framework linking MBSE and EMT tools to improve traceability, decision-making, and reuse across complex power and energy architectures. He holds dual B.S. degrees in Applied Mathematics and Computational Science and Electrical Engineering, and an M.S. in Electrical Engineering from the FAMU-FSU College of Engineering.\u003C/p>","2025-11-03T21:12:11.758Z","64",[],"-28",{"id":255,"name":803,"committee":16,"position":16,"affiliation":796,"email":16,"biography":804,"createdAt":805,"updatedAt":805,"url_path_id":806,"contactPhoto":16,"socialLinks":807,"url_path":808},"Naqash Ali","\u003Cp>Naqash Ali is an Assistant in Research at Florida State University’s Center for Advanced Power Systems. He holds an M.S. in Systems Engineering (FSU, 2023) and a B.S. in Computer Engineering (NUST, 2016). His work focuses on Model-Based Systems Engineering (MBSE) and digital engineering for naval power and energy systems, including architecture modeling, automated MIL-STD requirements extraction into SysML, and PCIe-based hardware-in-the-loop (HIL) co-simulation with RTDS Aurora.\u003C/p>\u003Cp>He has co-authored papers on knowledge elicitation and system-model integration (ESTS 2025), naval PEPDS functional architecture (2024), and early-stage ship design using MBSE.\u003C/p>","2025-11-03T21:12:54.334Z","65",[],"-29",{"id":108,"name":810,"committee":16,"position":16,"affiliation":811,"email":16,"biography":812,"createdAt":813,"updatedAt":813,"url_path_id":814,"contactPhoto":16,"socialLinks":815,"url_path":816},"David C. Gross","Florida State University","\u003Cp>David C. Gross brings expertise in model-based systems and digital engineering, modeling and simulation, system architecture, human-computer interfaces—particularly virtual environments—and process engineering. His distinguished career includes leadership roles at Boeing and Lockheed Martin Aeronautics, where he served as Chief Technologist for Modeling & Simulation (M&S) and Deputy Chief Engineer for simulation and systems integration laboratories, respectively.\u003C/p>\u003Cp>Dr. Gross holds more than sixty publications, two patents, and advanced degrees in computer science, operations research, and systems and industrial engineering. His contributions span government, academia, and industry, including service as a NASA Faculty Fellow and his current faculty role at Florida State University.\u003C/p>","2025-11-03T21:13:47.176Z","66",[],"-30",{"id":166,"name":818,"committee":16,"position":16,"affiliation":796,"email":16,"biography":819,"createdAt":820,"updatedAt":820,"url_path_id":821,"contactPhoto":16,"socialLinks":822,"url_path":823},"Carmen E. Araujo","\u003Cp>Carmen E. Araujo earned a B.S. degree in Industrial Engineering in 2020 and an M.S. degree in Systems Engineering in 2022 from Florida State University, Tallahassee, FL, USA. She is an Assistant in Research and serves as the Lead Systems Engineer of the Power Systems Group at Florida State University’s Center for Advanced Power Systems.\u003C/p>\u003Cp>Her work focuses on implementing Model-Based Systems Engineering (MBSE) to support the design, realization, technical management, operations, and retirement of complex power systems.\u003C/p>","2025-11-03T21:14:27.125Z","67",[],"-31","-32",{"id":335,"session":826},{"id":335,"title":827,"teaser":828,"body":829,"createdAt":830,"updatedAt":831,"publishedAt":832,"url_path_id":833,"contacts":834,"url_path":842},"Special Session: AI-Enabled System-of-Systems Resilience for Critical Infrastructure","\u003Cp>\u003Cspan style=\"background-color:rgb(255,255,255);color:rgb(34,34,34);\">Critical infrastructure systems—including energy, transportation, communication, and cyber-physical infrastructures—are increasingly interconnected and interdependent, forming complex system-of-systems whose resilience is essential for societal safety, economic stability, and sustainable development. The tight coupling among these infrastructures makes them vulnerable to cascading failures, extreme events, cyber-physical threats, and long-term sustainability challenges, posing significant challenges to systems engineering.\u003C/span>\u003Cbr>\u003Cbr>\u003Cspan style=\"background-color:rgb(255,255,255);color:rgb(34,34,34);\">This Special Session focuses on AI-enabled and system-of-systems approaches for enhancing the resilience of critical infrastructure systems. The session aims to provide a forum for discussing system-level modeling, intelligent decision-making, and coordinated resilience strategies across interdependent infrastructures. Emphasis is placed on integrating artificial intelligence, data-driven methods, and systems engineering principles to support situational awareness, adaptive response, recovery, and resilience-oriented planning under uncertainty.\u003C/span>\u003C/p>\u003Ch4 class=\"h4\">\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://edas.info/newPaper.php?c=34276&track=135076\">Submit a Paper \u003C/a>\u003C/h4>","\u003Cp>\u003Cspan style=\"background-color:rgb(255,255,255);color:rgb(34,34,34);\">We invite theoretical, methodological, and application-oriented contributions from both academia and industry. Submissions may address foundational concepts, methods, tools, and practical case studies related to the analysis, design, and operation of resilient and interconnected infrastructure systems.\u003C/span>\u003C/p>\u003Cp>\u003Cspan style=\"background-color:rgb(255,255,255);color:rgb(34,34,34);\">Topics of Interest include (but are not limited to):\u003C/span>\u003Cbr> \u003C/p>\u003Cul>\u003Cli>System-of-systems modeling, analysis, and architecture for critical infrastructure  \u003C/li>\u003Cli>Resilience assessment, enhancement, and recovery of interdependent infrastructures  \u003C/li>\u003Cli>AI-enabled situational awareness, monitoring, and decision-making for complex systems  \u003C/li>\u003Cli>Cyber-physical security and resilience of critical infrastructure systems  \u003C/li>\u003Cli>Cascading failure analysis and cross-domain risk propagation  \u003C/li>\u003Cli>Adaptive and resilient control strategies for large-scale infrastructure systems  \u003C/li>\u003Cli>Data-driven, learning-based, and hybrid AI methods for infrastructure resilience  \u003C/li>\u003Cli>Decision-making under uncertainty and extreme events  \u003C/li>\u003Cli>Resilience–sustainability co-optimization and long-term infrastructure planning  \u003C/li>\u003Cli>Integration of digital twins, modeling, and simulation for resilient infrastructure operation  \u003C/li>\u003Cli>Industrial case studies and practical experiences in critical infrastructure resilience\u003C/li>\u003C/ul>","2025-12-17T21:15:22.201Z","2025-12-17T21:30:02.445Z","2025-12-17T21:15:23.621Z","76",[835],{"id":303,"name":836,"committee":16,"position":16,"affiliation":837,"email":16,"biography":75,"createdAt":838,"updatedAt":838,"url_path_id":839,"contactPhoto":16,"socialLinks":840,"url_path":841}," Yang Li","Chair, IEEE Systems Council Harbin Section Chapter","2025-12-17T21:16:02.674Z","77",[],"-39","-38",{"id":172,"__component":844,"componentVariation":845,"styles":16,"header":16,"body":846},"content.content","Content Image Left",{"id":309,"title":847,"body":848,"containerWidth":16,"buttonGroup":849,"media":16},"Submit a Paper","\u003Cp>To submit your paper, use the button below and select the correct Special Session option from the Tracks listed.\u003C/p>",{"id":850,"variation":53,"button":851},23,[852],{"id":392,"label":853,"size":854,"color":59,"style":16,"icon":544,"iconPosition":61,"url":855,"newWindow":8,"downloadable":16,"shape":16},"Submit Now","btn-lg","https://edas.info/N34276",{"data":857,"meta":863},{"id":135,"heading":598,"createdAt":858,"updatedAt":859,"publishedAt":860,"url_path_id":861,"url_path":862,"contentType":106},"2025-11-03T21:06:40.033Z","2025-12-17T21:16:37.058Z","2025-11-03T21:06:41.797Z","60","/authors/special-sessions",{},1778853953646]