Sara Shafiee

Sara Shafiee

Senior Researcher / Associate Professor

Department of Civil and Mechanical Engineering · Engineering Design and Manufacturing Systems
Technical University of Denmark (DTU)

Research code, lab and interactive research map on GitHub →
99publications 12prizes and awards DFFPI of RECODE, 2024–2027 10+years in industry and academia

About

Sara Shafiee builds AI that helps engineers design smarter. As Senior Researcher / Associate Professor at DTU's Department of Civil and Mechanical Engineering, she works where artificial intelligence meets complex engineering systems and digital manufacturing, turning decades of engineering knowledge into faster, better decisions.

As Principal Investigator, she leads externally funded research on agentic and multi-agent AI, recommendation systems for product design and configuration, explainable and constraint-driven models, LLM-based evaluation, and synthetic data for industrial applications, including projects funded by the Independent Research Fund Denmark. Her group, the Sara Shafiee Lab, combines fundamental research with close industry collaboration.

Her work has been recognised with the Agnes & Betzy Award, the Nordic Women in Tech Award, the Alexander Foss MADE Award, Innovation Fund Denmark's Industrial Researcher Prize, and best paper awards at IEEE and ICED. She is a member of CIRP, the International Academy for Production Engineering, and of the Young Academy of Technology, Science and Innovation (YATSI). Before academia she worked as an IT Project Manager and Senior Business Consultant at Topsoe, and she later founded and led DivERS as its CEO.

Research themes

Publications

99 publications · updated automatically every week from ORCID · also on DTU Orbit and Google Scholar

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Projects

RECODE: Revolutionizing Engineer-To-Order Companies through Deep Learning and Advanced Recommendation Systems for Optimal Product Design

Principal Investigator · Independent Research Fund Denmark (DFF) · 2024–2027 · active · DOI: 10.46540/3163-00006B

Advanced Recommendation Systems for Optimal Product Design

PhD project (Nastaran Moradzadeh Farid) · Main supervisor · 2024–2027 · active

Conceptual Modelling for Product Configuration Systems

Industrial PhD (own), supervised by Lars Hvam · DTU and Topsoe · 2014–2017 · finished

All projects on Orbit →

Group

I welcome students and researchers interested in AI for engineering and manufacturing: MSc theses, PhD and postdoc positions, research visits and industry collaborations. Get in touch by email. More on the lab page.

Experience

Awards

All 12 prizes on Orbit →

Talks and service

All 24 activities on Orbit (peer reviews, research visits, guest lectures, talks, examinations) →

Press

All 23 press items on Orbit →

Contact

Email: sashaf@dtu.dk
Technical University of Denmark, Koppels Allé, Building 404, Room 232, 2800 Kgs. Lyngby, Denmark