Masoud Sajjadian
masoud sajjadian

Dr Masoud Sajjadian

Lecturer

Biography

With a background in architectural engineering, Dr Masoud Sajjadian is a graduate of Nottingham and Liverpool Universities. He is a Lecturer in Architectural Technology and Programme Leader for MSc Architectural Technology and Building Performance. His research focus is on building performance analysis aiming to reduce the gap and mediate effective engineering analysis tools and architectural design. He is actively engaged in teaching, research and knowledge exchange activities focusing on energy efficiency and building performance simulation.

His research has evolved from investigating the use of simulation tools to predict building performance in a changing climate to exploring their development with the integration of Solar Air Collectors to combining them with Artificial Intelligence methods to influence users’ comfort uncertainty in the analysis. He has completed over €400K funded projects since 2017. The qualitative impact of his research works is mostly on the development of data-driven approaches in the decarbonisation of built environment and mitigation of climate change impact through simulations and the creation of data-driven comfort models.

Examples of his research impact are visible in one of the IPCC reports (The Intergovernmental Panel on Climate Change, the United Nations body for assessing the science related to climate change) and the UK Parliament Research Briefing. His research on using Phase Change Materials with an air gap was included in the IPCC examples of adaption, and interventions at building shell in their supplementary report for Key Risks Across Sectors and Regions for Europe (13SM). Another research work from him on developing thermal comfort models by using AI was included in the UK Parliament Research Briefing on Sustainable Cooling (Briefings are impartial analyses produced by the UK Parliament on a variety of topics that affect the UK like the economy, health, and security). Public Health Scotland has also published his research about the impact of Covid-19 protocols on carbon emissions and users comfort in office buildings on their website.

Before joining Edinburgh Napier, he was a Senior Lecturer in Architectural Technology where he authored numerous UG and PG modules and an MSc course in Building Simulations. He also held several varied teaching roles at Liverpool School of Architecture, worked at TATA steel company as a Cardiff University research associate and worked as Knowledge Transfer Partnership associate at Morganstone Ltd.

He is a Senior Fellow of the Higher Education Academy, a Chartered Engineer, a Chartered Member of IET, a Fellow member of CIAT and a full college member of EPSRC.

Esteem

Advisory panels and expert committees or witness

  • Engineering Council Assessor for Chartered Memberships (CEng)
  • School of Engineering & Built Environment Gold Curriculum Lead 2021

 

Conference Organising Activity

  • Session Chair: The White, The Grey and The Black Approaches in Simulations, Sustainability in Energy and Buildings, 2023
  • Scientific Committee Member of the 8th International Congress on Architectural Technology
  • Scientific Committee Member of PLEA (Passive and Low Energy Architecture) Conference in 2017
  • Scientific Committee Member of SEB (Sustainability in Energy and Buildings) Conferences

 

Editorial Activity

  • Topical Advisory Panel for Buildings Journal
  • Guest Editor for a Special Issue on Data and the Built Environment: Reconciling Resources and Information for a Sustainable Living of Sustainability Journal

 

External Examining/Validations

  • External Examiner to the Architecture and Visual Arts Department, University of East London
  • PhD candidate, School of Architecture, Design and Planning, the University of Sydney 2019

 

Fellowships and Awards

  • Senior Fellow of Higher Education Academy (SFHEA)

 

Grant Reviewer

  • Full college member of EPSRC

 

Membership of Professional Body

  • Chartered Engineer (CEng)
  • Member of the Institution of Engineering and Technology (MIET)
  • Fellow Member of the Chartered Institute of Architectural Technologists (FCIAT)

 

Reviewing

  • Book Proposal Reviewer, Routledge
  • Reviewer for at least 10 internationally leading journals - Details: https://publons.com/researcher/562323/masoud-sajjadian/

 

Date


31 results

Automatic Architectural Drawing Labelling Using Deep Convolutional Neural Network

Conference Proceeding
Sajjadian, S. M., Jafari, M., & Chen, X. (2021)
Automatic Architectural Drawing Labelling Using Deep Convolutional Neural Network. In Sustainability in Energy and Buildings 2021 (69-78). https://doi.org/10.1007/978-981-16-6269-0_6
Architectural designers and technologists are able to make an assessment on buildability, thermal and hygrothermal performance of design details. To process drawings, human vi...

User Perception on Key Performance Indicators in an In-Service Office Building

Journal Article
Pestana, T., Flores-Colen, I., Duarte Pinheiro, M., & Masoud Sajjadian, S. (2021)
User Perception on Key Performance Indicators in an In-Service Office Building. Infrastructures, 6(3), https://doi.org/10.3390/infrastructures6030045
A holistic understanding of the correlations between supply and demand in buildings forms the basis for their performance assessment. This paper aims to reinterpret a set of K...

Four Angles of Using Timber in Tall Buildings

Conference Proceeding
Sajjadian, S. M., Barlow, C., & Tupenaite, L. (2020)
Four Angles of Using Timber in Tall Buildings. In Sustainability in Energy and Buildings 2020. , (183-193). https://doi.org/10.1007/978-981-15-8783-2_15
Increasing attention to utilise more sustainable materials in the construction industry has made timber-based building elements more desirable. The advantages of timber in pre...

An Expandable, Contextualized and Data-Driven Indoor Thermal Comfort Model

Journal Article
Sajjadian, S. M., Jafari, M., & Pekaslan, D. (2020)
An Expandable, Contextualized and Data-Driven Indoor Thermal Comfort Model. Energy and Built Environment, 1(4), 385-392. https://doi.org/10.1016/j.enbenv.2020.04.005
Continuous discrepancies in building performance predictions creates an ongoing inclination to link contextualized, real-time inputs and users’ feedback for not only building ...

Data Interpretation in Thermal Comfort Using Association Rule Mining Method

Conference Proceeding
Sajjadian, M., & Jafari, M. (2019)
Data Interpretation in Thermal Comfort Using Association Rule Mining Method. In International Conference on Emerging Technologies in Architectural Design: ICETAD2019
Abstract not available.

Multiple criteria assessment of high-rise timber buildings

Journal Article
Tupėnaitė, L., Žilėnaitė, V., Kanapeckienė, L., Sajjadian, S. M., Gečys, T., Sakalauskienė, L., & Naimavičienė, J. (2019)
Multiple criteria assessment of high-rise timber buildings. Engineering Structures and Technologies, 11(3), 87-94. https://doi.org/10.3846/est.2019.11952
Although the majority of high-rise buildings are constructed from concrete and steel, there is a growing interest in the new generation of multi-storey timber buildings around...

Selection of structural system for wooden public building: Multiple criteria approach

Conference Proceeding
Tupenaite, L., Gecys, T., Kanapeckiene, L., Sajjadian, S. M., & Naimaviciene, J. (2019)
Selection of structural system for wooden public building: Multiple criteria approach. In The 13th international conference: Modern building materials, structures and techniques. , (691-697). https://doi.org/10.3846/mbmst.2019.074
There has been a growing interest in the construction industry for using materials with lower environmental impacts, in this context, stakeholders increasingly seeing wood as ...

High rise buildings in Europe from energy performance perspective

Conference Proceeding
Sajjadian, S. M., Tupenaite, L., Kanapeckiene, L., Naimaviciene, J., Radif, S., & Amado, M. (2019)
High rise buildings in Europe from energy performance perspective. In The 13th international conference: Modern building materials, structures and techniques. , (663-669). https://doi.org/10.3846/mbmst.2019.029
The United States is well known for the birthplace of tall buildings in the world since the nineteenth century. The trend continued across all continents and in 1940, Europe d...

An Artificial Intelligence Method for Comfort Level Prediction

Conference Proceeding
Sajjadian, S. M., Jafari, M., & Siebers, P. (2018)
An Artificial Intelligence Method for Comfort Level Prediction. In Sustainability in Energy and Buildings 2018: Proceedings of the 10th International Conference in Sustainability on Energy and Buildings (SEB’18). , (169-177). https://doi.org/10.1007/978-3-030-04293-6_17
With the rapid demand for the energy efficient consumption in buildings, bridging the gap between predicted and measured performance is essential. However, recent studies show...

Risk identification in the early design stage using thermal simulations—A case study

Journal Article
Sajjadian, S. M. (2018)
Risk identification in the early design stage using thermal simulations—A case study. Sustainability, 10(1), https://doi.org/10.3390/su10010262
The likely increasing temperature predicted by UK Climate Impacts Program (UKCIP) underlines the risk of overheating and potential increase in cooling loads in most of UK dwel...

Pre-Napier Funded Projects

  • Principal Investigator - Research, Innovation and Knowledge Exchange (RIKE): Artificial Intelligence and Building Performance
  • Investigator- EU Funded: Sustainable High-Rise Buildings Designed and Constructed in Timber