Speakers
Philip Langer
Philip Langer is CEO of EclipseSource, supporting companies in architecting and developing custom IDEs, domain-specific tools and modeling environments with his extensive experience on Eclipse tool platforms and modeling technologies. His current focus is on frameworks for web-based IDEs, graphical modeling tools, custom C/C++ IDEs, and AI integrations in engineering tools. Philip is the project lead of several successful open source technologies, such as Eclipse GLSP, EMF Cloud and CDT Cloud. Moreover, he is an active committer on Theia, Sprotty, and more.
Jonah Graham
Jonah is an accomplished technology leader with a deep passion for open source. A veteran of the Eclipse community, he was honoured with the 2023 Lifetime Achievement Award for his long-standing contributions to Eclipse projects and active involvement in the community. With a strong background in computer science, Jonah has extensive experience working on compilers and toolchains in the semiconductor industry. Currently, he is focused on advancing developer tools for the cloud, driving innovation in modern software development.
Simon Graband
Simon Graband is a software engineer at EclipseSource. His focus is on web-based Tools and IDEs, as well as on Modeling. Simon is an active member of the Eclipse community and regularly contributes to Eclipse projects such as Eclipse Theia, Theia Cloud, EMF.cloud and Eclipse GLSP.
Patrick Chuong
Patrick is a software engineering manager for the Code Composer Studio (CCS) Eclipse and CCS Theia projects at Texas Instruments. With more than 24 years of experience in embedded IDE desktop development and more than 8 years experience working with web technologies for embedded cloud IDE development. He was an Eclipse CDT committer with contributions to the Eclipse platform debug and CDT debug projects. Now, he is focusing on driving the effort to adopt the Eclipse Theia project for the upcoming CCS IDE that works on the desktop and in the cloud.
Warren Paul
Kaveh Shahedi
Currently rocking the role of Machine Learning Intern at Ericsson, I’m on a mission to apply smart algorithms to make systems run faster, smoother, and, well, smarter. Whether it’s digging into trace data or tracking down those pesky performance bottlenecks, I’ve got it covered. At the same time, I’m knee-deep in my Ph.D. journey at Polytechnique Montreal, diving into software performance engineering and tracing research. With a background in software services, I’m always looking for creative ways to bring machine learning into the mix to help teams automate and optimize their systems.
Matthias Linhuber
I am a Doctoral Student at the Technical University of Munich (TUM), specializing in container-based software engineering, applied education technology, and project-based learning. With over eight years of experience managing infrastructure, I bring technical expertise and a passion for innovative education methods. As an educator at heart, I strive to make learning more accessible and engaging. Outside of academia, I’m an avid scuba diver and mountaineer, and I enjoy exploring the world of electronic music.