Ekaterina Petrova is an Assistant Professor of Artificial Intelligence in Construction at the Department of the Built Environment at Eindhoven University of Technology. She received a PhD in Civil Engineering in 2019 from Aalborg University in Denmark. She was also a visiting researcher at the Department of Architecture and Urban Planning at Ghent University in 2018. Ekaterina joined the Information Systems in the Built Environment research group at Eindhoven University of Technology in March 2021. Her research focuses on the integration of various symbolic and statistical Artificial Intelligence approaches for decision support in performance-oriented building design and engineering. Her research interests include Artificial Intelligence in the built environment, Ambient Intelligence, cognitive approaches, smart buildings, Building Information Modelling and Management, Semantic Web technologies. She has been working on various topics related to the implementation of symbolic and statistical Artificial Intelligence approaches for decision support in the context of sustainable building design, circular buildings, Digital Twins, data-driven smart buildings, etc.

Ekaterina supervises PhD-, master- and bachelor students and is involved in curriculum development and lecturing of multiple bachelors and master courses, including Collaborative design, Fundamentals of Building Information Modelling, Parametric Design, Design Science Methodology and Systems Engineering, Real estate, urban development and information management, etc. She is also a member of the Eindhoven Artificial Intelligence Systems Institute (EAISI) and a coordinator of the Smart Cities track of the upcoming Artificial Intelligence Engineering Systems (AIES) master program at Eindhoven University of Technology. She serves as a reviewer of multiple journals and conferences in the area of Information Technology in Architecture, Engineering and Construction. She is also a holder of an Irene Curie fellowship from Eindhoven University of Technology, Professor P. Ole Fanger's Research Grant and an eCAADe Young Researcher Grant.