S (Siamak) Farshidi

S (Siamak) Farshidi

Universitair docent

Siamak Farshidi is an Assistant Professor in the Information Technology group at Wageningen University and Research. His research focuses on automated decision-making in software engineering, with a particular emphasis on integrating Generative AI into software development processes. His work applies decision-making theories to optimize and innovate software engineering practices.

Siamak’s primary research theme is AI-Driven Research Software Engineering (AI-RSE), which explores the integration of artificial intelligence into the design, development, and maintenance of research software. This theme emphasizes creating robust, reusable tools aligned with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles, ensuring systematic organization, accessibility, and reuse of research outputs. A strong emphasis is placed on environmental responsibility, with efforts to develop AI-driven tools that optimize resource consumption and sustain research software over time.

Under the AI-RSE theme, Siamak’s work addresses technical debt in software design, focusing on enhancing software reusability and longevity. The development of adaptable frameworks ensures that research software remains usable and relevant across evolving research landscapes. AI-enhanced systems are utilized to support data-driven decision-making, improving precision and efficiency in knowledge management. By adhering to FAIR principles, the AI-RSE theme ensures software and data are accessible, interoperable, and reusable, fostering seamless integration across diverse research domains. More information about this research theme and the decision models can be found at ai-rse.nl.

Siamak earned his Ph.D. in Computer Science from Utrecht University in 2020. Between 2020 and 2024, he worked as a postdoctoral researcher at the University of Amsterdam and Utrecht University. During this time, he contributed to significant projects such as developing digital twin ecosystems for the ecology domain under the LTER-LIFE project and creating a knowledge management system for environmental research through the ENVRI-HUB Next and ENVRI-FAIR projects.