Nombre:
Núria Forcada Matheu
País:
España
Provincia:
Cataluña
Cargo:
Associate Professor at the Universitat Politècnica de Catalunya
Biografía:
Dr. Forcada is part of the Construction Research Group (SIRG) made up of a consolidated team of professors and researchers from the Department of Design and Construction Engineering (DEC) of the Universitat Politécnica de Catalunya (UPC).
She has published more than 30 research articles in journals indexed in the Journal Citation Reports (JCR) and has participated in several national and international research projects financed by the European Union. He has also participated in numerous collaboration agreements with industry.
Dr. Núria Forcada has already directed two doctoral theses and is currently directing two more. She has also directed more than 40 master theses in the field of thermal comfort and quality management to improve the efficiency of the building stock. Her current interests are focused on the integration of knowledge acquired in the area of quality, energy efficiency of buildings and comfort. To this end, Dr. Forcada is working on analysing the performance of buildings using Bayesian Networks and on the analysis of thermal comfort, integrating monitored data and adaptive comfort models.
She has published more than 30 research articles in journals indexed in the Journal Citation Reports (JCR) and has participated in several national and international research projects financed by the European Union. He has also participated in numerous collaboration agreements with industry.
Dr. Núria Forcada has already directed two doctoral theses and is currently directing two more. She has also directed more than 40 master theses in the field of thermal comfort and quality management to improve the efficiency of the building stock. Her current interests are focused on the integration of knowledge acquired in the area of quality, energy efficiency of buildings and comfort. To this end, Dr. Forcada is working on analysing the performance of buildings using Bayesian Networks and on the analysis of thermal comfort, integrating monitored data and adaptive comfort models.