Alfia Shakurianova

Alfiia Shakurianova is a research associate at the Institute for Computational Design and Construction (ICD) at the University of Stuttgart, where she is part of the Computing in Architecture group. Her work focuses on developing machine learning–based systems that support informed decision-making in early architectural design, with an emphasis on regulatory evaluation, constraint-based reasoning, and design suggestion generation.

She holds a Master of Science in Integrative Technologies and Architectural Design Research (ITECH) from the University of Stuttgart, graduating with distinction. Her master’s thesis, Co-Pilot for Constraint-Driven Generation of Architectural Design Suggestions, explored the use of generative AI and large language model–based agents for automated BIM analysis, building code compliance checking, and adaptive design modification.

Alfiia Shakurianova has over five years of professional experience in architectural practice and more than three years of experience in software development for architectural applications. Her work combines computational design, parametric modeling, and algorithmic methods to automate and optimize architectural and urban design workflows.

She has held leading roles in computational design and software development, where she established parametric and data-driven workflows, developed custom design tools, and coordinated multidisciplinary teams. Her professional experience includes the development of automated applications for facades, residential buildings, and urban blocks.

In addition to software development, Alfiia has worked as a computational architect on projects ranging from exhibition pavilions to complex architectural and infrastructural designs, overseeing processes from concept design to construction documentation. She also has teaching experience in computational design, supporting the dissemination of algorithmic and parametric approaches within architectural practice.