GenSE 2026
3rd Workshop on Generative and Neurosymbolic AI in Software Engineering
The main topic of the workshop is artificial intelligence in the field of software engineering, with a focus on neuro-symbolic AI. The goal of the workshop is to engage with current methods and tools in the area of generative AI and to explore new applications in software development.
In particular, we aim to emphasize neuro-symbolic approaches that combine machine learning (ML) with symbolic AI methods (i.e., knowledge representation and reasoning based on symbolic logic) in order to improve the reliability and robustness of generative models.
Link
Format
- half-day, on Tuesday afternoon
Program
Location: Workspace Welle7
13:00 – 13:30
Registration
Room: Reception (3rd Floor)
13:30 – 15:00
GenSE 2026
Room: 5.58 Raum L+
Link: GenSE 2026
Organisation:
- Ruben Ruiz-Torrubiano (IMC Krems University of Applied Sciences (AT))
- Simon Steyskal (Siemens AG Austria (AT))
- Danilo Valerio (Siemens AG Austria (AT))
Description
The main topic of the workshop is artificial intelligence in the field of software engineering, with a focus on neuro-symbolic AI. The goal of the workshop is to engage with current methods and tools in the area of generative AI and to explore new applications in software development.
In particular, we aim to emphasize neuro-symbolic approaches that combine machine learning (ML) with symbolic AI methods (i.e., knowledge representation and reasoning based on symbolic logic) in order to improve the reliability and robustness of generative models.
15:00 – 15:30
Coffee Break
Room: 4.61 Piazza
15:30 – 17:00
GenSE 2026
Room: 5.58 Raum L+
Link: GenSE 2026
Organisation:
- Ruben Ruiz-Torrubiano (IMC Krems University of Applied Sciences (AT))
- Simon Steyskal (Siemens AG Austria (AT))
- Danilo Valerio (Siemens AG Austria (AT))
Description
The main topic of the workshop is artificial intelligence in the field of software engineering, with a focus on neuro-symbolic AI. The goal of the workshop is to engage with current methods and tools in the area of generative AI and to explore new applications in software development.
In particular, we aim to emphasize neuro-symbolic approaches that combine machine learning (ML) with symbolic AI methods (i.e., knowledge representation and reasoning based on symbolic logic) in order to improve the reliability and robustness of generative models.
Organisation
- Ruben Ruiz-Torrubiano, IMC Krems University of Applied Sciences (AT)
- Simon Steyskal, Siemens AG Austria (AT)
- Danilo Valerio, Siemens AG Austria (AT)