Jacek Ryń, IDSA

Product Designer, Jacek Ryń Studio Ryń is a graduate in design from the Academy of Fine Arts in Gdańsk, where he obtained his doctorate in 2019. He has been working at his home university since 2012, where he is the Head of the Product Design Department. He completed an internship at the renowned Droog Design in Amsterdam. In the years 2011–2014, he was a designer at the radiator production company Terma. Since 2014, he has been running his design studio, where he creates everyday objects, furniture, lighting, elements of public space, as well as medical devices. He is the author of many implemented and awarded products. He is a member of the scientific council of the Pomeranian Technology Park in Gdynia. Since 2016, he has been the president of Rokky, a company dealing in the production of intelligent electric heating systems. He is an IDSA international member.  

Activities for Jacek

Speaker | Designing with AI Deep Dive | 2024

AI-Driven Design for Manufacturing 

For now, AI is widely used in the concept stage of design, but what about further steps of the process? How can we translate visual concepts into useful data in the design process?  

The presentation will describe the results of a research project in which a method was developed for identifying and interpreting stylistic features of products using artificial intelligence. Additionally, a method for parameterizing the style and implementing these parameters for 3D solids in the design process and preparing technical documentation will be discussed. 

A unique element of this method is the parameterization of stylistic features to create and modify 3D models. Viewers will be familiarized with the process of using the obtained guidelines and data to develop a 3D model body built using curves and surfaces according to a specific manufacturing method. 

During the presentation, a case study will be presented for a selected category of electronics products. 

 

Key Takeaways: 

  1. Concept of product styling parameterization for use with AI and the automation of the design process.
  2. Using machine learning to recognize key shape elements with a popular image aggregator.
  3. Concepts of building niche and targeted databases of design data for further specific product development.