Yang Ji
Dr. Yang Ji (https://www.linkedin.com/in/yangji/) is the Founder and CEO of orthogonal (https://www.orthogonal.dev), a cutting-edge engineering software company based in Munich, Germany. With over 18 years of experience in advanced modeling and simulation, he previously served as a Research Scientist at DLR's Robotics and Mechatronics Center for a decade, focusing on physical modeling of system dynamics and aircraft power networks.
As a serial entrepreneur, he founded and led SimTek from 2016-2020 before establishing orthogonal in 2021. His exceptional contributions to the global research community earned him the prestigious TUM Ambassador title from the Technical University of Munich in 2023, an honor reserved for outstanding international researchers.
His expertise spans physical modeling, advanced simulation techniques, robotics, and mechatronics, with extensive experience in both industrial and EU research projects. Based in Munich's thriving tech ecosystem, he continues to bridge cutting-edge research with practical engineering solutions through orthogonal's innovative MBSE platform.
Sessions
ODE: AI-First Systems Engineering Platform for Modelica
ODE introduces the world's first AI-native systems engineering platform that brings Modelica modeling and simulation directly into the browser, eliminating traditional installation and deployment barriers. Our cloud-based platform combines a native Modelica compiler and simulation engine with advanced AI capabilities that understand physics, engineering constraints, and domain-specific modeling patterns to accelerate model development and analysis workflows. Built on proven enterprise-grade infrastructure, ODE seamlessly integrates with our scientific computing platform Paper, enabling engineers to transition from Modelica simulation results to interactive documentation, collaborative analysis, and publication-ready reports within a unified environment. The platform leverages web technology to deliver near-native performance for complex multi-physics simulations while maintaining the collaborative advantages of modern cloud computing. Engineers can develop, simulate, analyze, and share Modelica models through natural language interfaces, automated optimization workflows, and one-click deployment of interactive applications without requiring local software installations. ODE represents a paradigm shift in systems engineering workflows, making advanced Modelica capabilities accessible to broader engineering teams while dramatically reducing the complexity of model sharing, collaboration, and knowledge transfer across organizations.
Keywords: Modelica, AI-assisted modeling, cloud simulation, browser-based engineering, collaborative systems engineering, WebAssembly simulation
This session is chaired by