BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//pretalx.com//juliacon-2026//speaker//7ECCXX BEGIN:VTIMEZONE TZID:CET BEGIN:STANDARD DTSTART:20001029T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-juliacon-2026-P39YQD@pretalx.com DTSTART;TZID=CET:20260810T143000 DTEND;TZID=CET:20260810T173000 DESCRIPTION:The Julia language is a proven technology for technical computi ng. So it is only natural for people to build engineering-related tools o n top of it. In this workshop\, we'll discuss our Dyad platform for syste m modeling and how this utilizes both Julia and ModelingToolkit to deliver Scientific Machine Learning (SciML) to engineers in industry. DTSTAMP:20260502T094005Z LOCATION:Room 1 SUMMARY:Dyad + SciML Tutorial: Bringing Julia to Engineers - Michael Tiller \, John Batteh URL:https://pretalx.com/juliacon-2026/talk/P39YQD/ END:VEVENT BEGIN:VEVENT UID:pretalx-juliacon-2026-BXSHUH@pretalx.com DTSTART;TZID=CET:20260814T123000 DTEND;TZID=CET:20260814T130000 DESCRIPTION:The rapid spread of AI into all aspects of society has led to a corresponding surge in data centers to support the exploding computing de mand. Data centers are complex interconnected physical systems with therm al power generation\, electrical power conversion\, and cooling systems fo r the compute chips. The compute load that the data center can effectivel y deliver is a function of the complex response of these systems including the associated controls for the load dispatch strategy and cascaded contr ols of the various subsystems. System modeling with representation of the physical systems and key controls is a critical tool for understanding th e physical response and operation of data centers. \n\nThis talk presents two different uses cases for system modeling in data centers. The first case focuses on data center operation. High level transient models in Dya d\, Julia\, and ModelingToolkit of the data center load\, power generation \, and electrical system are shown focusing primarily on power demand and supply and high-level control and dispatch. These models are meant to cap ture the critical interactions between the total power demand from the com pute side of the data center and the required power generation provided by the turbines and generators. Different operational strategies for turbin e scheduling will be demonstrated to assess their impact on system perform ance and robustness over different load profiles. These models can addres s questions regarding the optimal dispatch strategy for the turbines and t he impact of different load management strategies on system performance. Models including the effects of battery energy storage systems are develop ed to assess the impact of battery sizing and control strategies on the da ta center operation. The impacts of various failures can also be simulate d with these models. These system models are suitable for simulations over multiple time scales. Shorter simulations are shown to focus on load pla nning and the resulting transient power dynamics. Long time horizon simul ations (hours\, weeks\, months) support operational and economic optimizat ion of data centers with SciML techniques. \n\nThe second use case focuse s on multi-physics models for data center cooling. Transient models for d ata center cooling are demonstrated that capture the thermal interactions between the CPU and GPU and the resulting cooling system. Built from reus able components in Dyad\, these models are full physical models that captu re the lumped thermal dynamics of the chips and cooling system at the serv er and rack level. They can provide temperature predictions at the lumped chip level to support a higher level of fidelity in the system simulation s and for load planning. These models are still suitable for long time ho rizon simulations as they are lumped but discretized. DTSTAMP:20260502T094005Z LOCATION:Room 1 SUMMARY:Data Center System Modeling with Dyad - John Batteh URL:https://pretalx.com/juliacon-2026/talk/BXSHUH/ END:VEVENT BEGIN:VEVENT UID:pretalx-juliacon-2026-VQWV7R@pretalx.com DTSTART;TZID=CET:20260814T143000 DTEND;TZID=CET:20260814T150000 DESCRIPTION:There has been a rapid spread of AI agents into all aspects of society. The exponential increase in capabilities of these agents has led to new ways of working across nearly every profession. While the adoptio n of LLMs and agentic workflows has been more common in computer science a nd software development\, the integration of these technologies into engin eering system simulation tools is at its infancy. As an engineer with ove r 25 years of experience in model-based systems engineering across differe nt engineering domains\, I have had no previous experience with agentic wo rkflows in my daily work prior to the last few months. Speaking with engi neering simulation colleagues in different fields\, many of them are in th e same situation given that their traditional tools did not offer these ca pabilities but are now ready and interested to explore possibilities of th ese emerging technologies.\n\nThis talk will offer practical perspectives on agentic workflows focused on engineering system simulation use cases. Using the Dyad AI agent\, these use cases will be explored using Dyad\, Ju lia\, and ModelingToolkit. The focus of this talk is to provide practical perspectives on agentic workflows in model creation\, system model assemb ly\, debugging\, testing\, and simulation and analysis. The examples will also explore different methods for providing resources to the agent to su pport the tasks required. Examples in different engineering domains will be presented. Various workflows are critically evaluated to assess effecti veness and accuracy. The focus of this talk is to provide practical persp ectives demonstrating use cases that work well\, those that are still deve loping or not yet mature (though certainly might be in future versions of the underlying LLMs)\, and effective prompting techniques based on persona l experience. This talk will be presented via slides documenting the work flows along with live demonstrations within the time constraints of the ta lk.\n\nThe capabilities of engineering simulation tools are rapidly changi ng and are fundamentally redefining the human and machine interface. Engi neers need to quickly adapt to utilize new technologies effectively and re sponsibly. Though it is certainly impossible to gain a deep understanding of agentic workflows within the duration of a single talk\, the hope is t hat this talk demystifies the use of agentic workflows in system simulatio n within the Julia ecosystem\, inspires critical thinking within the conte xt of an engineer’s unique workflows and simulation needs\, and provides practical perspectives that can lead to more effective usage as engineers start to adopt these new technologies. DTSTAMP:20260502T094005Z LOCATION:Room 1 SUMMARY:Practical Perspectives on the Use of AI Agents in Engineering Syste m Simulation - John Batteh URL:https://pretalx.com/juliacon-2026/talk/VQWV7R/ END:VEVENT END:VCALENDAR