Schedule

This training will show you how to conceptualize and investigate optical transmission systems based on recommendations from standardization committees or multi-source agreements (MSAs) using professional simulation software. You will learn to model photonic components on different abstraction levels up to entire optical transmission systems corresponding to specifications. Then, evaluate the defined parameters and efficiently automate the design and analysis for new recommendations using the VPIphotonics Design Suite. We will investigate several standardized applications ranging from data center interconnects to high-capacity core network links. We will explore characterization and measurement concepts, demonstrate how to examine the impact of performance-limiting effects, and assess how to mitigate or compensate for them using machine learning algorithms.

Topics include:

• Examine a professional simulation software design environment
• Model photonic component characteristics
• Simulate application scenarios following standards specifications (e.g., 400G ZR, 800G FR-4, TDECQ)
• Investigate new mitigation techniques using machine learning algorithms

This training targets students, early-stage professionals, engineers, and researchers who want to learn how to utilize a professional simulation and design environment. Basic knowledge of the various transmission systems' technologies, concepts, and methodologies is helpful.

This interactive course includes a 4-hour session of lectures, guided labs, and independent work with 1-on-1 support. Attendees will be provided access to the software in a cloud-based environment using their private laptops. Arrive by 1:00 pm for software setup.

RSVP to secure your spot here!

Organizers: Optica Foundation & VPIphotonics

Learn the most powerful techniques expert researchers and professionals use to enhance productivity and make life easier. Join us and take this chance to upgrade your work methods and discuss while enjoying lots of food and drinks in an informal, relaxed, and fun way.

Our everyday research is most fun and productive when concentrating on creative problem-solving. Good news: tools are available for almost all other tasks to simplify your engineering life. Many software packages written by the large community allow you to quickly and easily automate menial tasks, build graphical user interfaces, visualize data, and much more! This event aims to bring awareness of these packages by hosting multiple interactive demos of primarily free and open-source software built in easy-to-learn languages such as Python. The demos are set up around informal discussion tables with plenty of time for inspiring discussion and questions, alternated with lighting talks and videos showing the usage of these tools.

This event is an opportunity to tap into and use the available public resources and learn about the newest tools developed by Ph.D. students and researchers. From students to highly experienced experts, everybody is welcome to learn and share ways to boost their research. Benefit and learn from the trial-and-error of others and get a kickstart in productivity!

Open Call - Present your favorite research hack at OFC 2024! Have you found a tool that you just love and it’s so awesome that you burn to tell the world about it? We are looking for people who found something helpful that they think could benefit the greater community - it could be anything, a single line of code to a full package. As long as it helps you in your research, we - and all 150+ attendees at the Hack your Research! event - would be happy to hear about it! Your chance is a one minute “lightning talk” at the Hack your Research! Event on Sunday March 24th 2024 at 7pm! If you’re interested and want to know more details, we encourage you to submit your idea until 1 March 2024 at http://tiny.cc/lgtntalkofc2024!

Organizers: Henrique Buglia, University College London, United Kingdom; Marco Eppenberger, PsiQuantum, USA; Menno van den Hout, Eindhoven University of Technology, Netherlands; Vincent van Vliet, Eindhoven University of Technology, Netherlands

Advisory Committee: Nicolas Fontaine, Nokia Bell Labs, USA; Binbin Guan, Microsoft, USA; Roland Ryf, Nokia Bell Labs, USA; Jochen Schroeder, Chalmers University of Technology, Sweden