Yoworex Tiu is an Electronics Engineer with over four years of experience in analog product applications, specializing in switches and multiplexers. From LTspice simulation to microcontroller and evaluation board development, he brings a simulate-first, verify-before-you-build mindset to every design — the same principle that powers Model-Based Design.

A hands-on innovator, Yoworex has used Python-based automation to streamline engineering workflows and elevate customer support — proof that the smartest tools amplify engineering judgment rather than replace it. It's this perspective he brings to the conversation on Agentic AI: how intelligent automation can enhance Model-Based Design's traceability, repeatability, and confidence, without compromising the rigor complex systems demand.

Known for thriving in fast-paced, cross-functional environments and delivering polished technical documentation, Yoworex offers a grounded, real-world lens on where engineering meets AI-powered innovation.

Ade Pratama Suryo Kusumo is an Application Engineer with more than 7 years of experience across Power Electronics, Electric Vehicles, Battery Management Systems, Photovoltaic, and Battery Energy Storage systems — domains where precision, safety, and real-world performance are non-negotiable.

Ade brings a business-oriented mindset to complex electrification challenges, translating deep technical expertise into insights that drive measurable, impactful outcomes. It's this results-first perspective he brings to the conversation on Agentic AI and control engineering: how intelligent automation can accelerate the journey from design intent to simulation, verification, and deployment — while keeping every step traceable, reviewable, and grounded in engineering discipline.

With a track record spanning some of the most demanding areas of power and energy systems, Ade offers a practical, industry-tested view on where control engineering is headed in the age of AI.