Conference Agenda

Come and help us circulate the love for lumped parameter modelling with CirculatorySystemModels.jl, a fast, friendly, flexible and functional circulatory modelling framework. In this workshop participants will be helped to run and analyze a lumped parameter model, embodying the statement "if you can draw it you can model it". We will guide users through the specifics of how they can then begin to develop their own advanced features utilizing the dependent package ModelingToolkit.jl.

Why to wait hours for computations to complete, when it could take only a few seconds? Tired of prototyping code in an interactive, high-level language and rewriting it in a lower-level language to get high-performance code? Unsure about the applicability of differentiable programming? Or simply curious about parallel and GPU computing and automatic differentiation being game changers in physics-based and data-driven modelling.

The objective of this workshop is to give exposure for using various digital image processing methods in Julia. JuliaImages hosts the major Julia packages for image processing in which Images.jl provides access to various algorithms acting as the umbrella package. The applications of Image processing are found in areas such as machine vision, biomedical image processing and remote sensing. This workshop will help the Julia enthusiasts/scholars to get trained in Julia based image processing .

We hope you're enjoying JuliaCon 2023 so far! Take a break and grab some lunch to recharge for the afternoon sessions. We have a delicious spread waiting for you in the dining hall. Bon appétit!

We hope you're enjoying JuliaCon 2023 so far! Take a break and grab some lunch to recharge for the afternoon sessions. We have a delicious spread waiting for you in the dining hall. Bon appétit!

We hope you're enjoying JuliaCon 2023 so far! Take a break and grab some lunch to recharge for the afternoon sessions. We have a delicious spread waiting for you in the dining hall. Bon appétit!

We hope you're enjoying JuliaCon 2023 so far! Take a break and grab some lunch to recharge for the afternoon sessions. We have a delicious spread waiting for you in the dining hall. Bon appétit!

Although Julia is a growing, fast language with relatively easy syntax, and thus quite a productive language, its popularity still seems enormously lopsided towards the scientific community. Thus it can be quite an intimidating language and community for newbies without heavy or good scientific or mathematical background to get into.

To address the intimidation above, I would like to propose this workshop, where we'll build and deploy a REST project for the web, a ubiquitous technology.

Data scientists need to work with various data sources and sinks in their projects. During the workshop I you will learn how you can work with standard data formats using DataFrames.jl. A special focus will be put on working with data that is larger than available RAM.

NeuralODEs lead to amazing results in academic examples. But the expectations are often being disappointed as soon as one tries to adapt this concept for real life use cases. Bad convergence behavior, handling of discontinuities and/or instabilities are just some of the stumbling blocks that might pop up during the first steps. During the workshop, we want to show how to integrate real life industrial models in NeuralODEs using FMI and present sophisticated training strategies.

Learn how to create production ready data applications and interactive data exploration dashboards in Julia, using Genie.