Shahryar Habibi
XXVIII Cycle - (A.A. 2012-2013)
Architecture Technology
Home Institution: University of Ferrara
Without Scholarship
Curriculum: Architecture (ICAR12)
Research Topic: Building Performance Simulation - BIM
Tutor DA-UNIFE: Theo Zaffagnini
Nationality: Iranian
Email: hbbshr@unife.it
Profile
Biography
Shahryar Habibi is a licensed architect (Italy), sustainability consultant and researcher. During his doctoral research, he developed a unique and innovative method to investigate interaction between users and environmental parameters for improving comfort, sustainability and smartness in the built environment and won the prestigious prize “Nicolò Copernico 2016” for his innovative thesis in sciences and technologies. Shahryar has gained practical hands on experience through his employment in different universities and companies. He has extensive research experience in the fields of facades, passive house concepts, energy efficiency projects and smart buildings. Currently his research covers the fields of methodologies for designing architectural spaces as smart or intelligent spatial systems. He is still working on designing energy-efficient buildings and He is especially focusing on creating comfortable and various concepts for developing a smart sustainable built environment.
Research skills
Architecture Parametric Design | BIM | Architectural Technology | Artificial Intelligence | Sustainability
Scientific activities
ORCID ID:
0000-0002-1683-8970
IRIS UNIFE ID:
rp00000
Doctoral research
Smart Workplace. Micro-Climatization and Real-Time Digitalization Effects on Energy Efficiency Based on User Behavior
The work aims to explore the use of user behaviour, smart and passive systems to improve energy efficiency and indoor environmental quality (IEQ) in buildings. In order to evaluate the impact of user behaviour on energy consumption, development of an assessment model based on artificial intelligence (AI) can be useful. On the other hand, use of a new concept from artificial intelligence in assessment tools can not only explore the potential benefits of approach but also provide ways to achieve an optimum level of efficiency. In order to evaluate the impact of user behaviour on energy consumption, development of an assessment model based on AI can be useful. On the other hand, use of a new concept from artificial intelligence in assessment tools can not only explore the potential benefits of approach but also provide ways to achieve an optimum level of efficiency.
Keywords
Indoor environmental quality (IEQ) | Artificial intelligence (AI) | Energy retrofit | User behaviour | BIM
