Dr Mehdi Pazhoohesh

Dr. Mehdi Pazhoohesh received his PhD in Energy and Building Engineering from the University of Liverpool in 2017. He is currently working as a Senior lecturer at De Montfront University. Dr Pazhoohesh has a background in the field of building energy performance and human comfort science and his research interests focus on Data-driven modelling and application of machine learning and Artificial Intelligence techniques for big data analytics in Energy Management and Energy-Efficient Buildings. He has also been involved with several UK and international based research projects such as Building as a power plant (EPSRC), Active Building Centre (EPSRC), Buildings Energy Efficiency (Research Institute for Smart and Green Cities, China). Additionally, he is endorsed by the UK Research and Innovation (UKRI) as a global talent in Energy Engineering in 2020.

Institute of Energy and Sustainable Development (IESD)

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• Machine learning
• Data-driven modelling 
• Buildings Energy Efficacy
• Data quality and imputation techniques 
• Thermal comfort

• Power generation
• Machine learning

• BSc Electrical Engineering and power systems
• MSc Energy and sustainability with electrical power systems
• PhD Smart Energy for buildings

• Endorsed under Global Talent by the UK Research and Innovation, 2020
• RISGC (Research Institute for Smart and Green Cities) funded proposal, 2016
• Dushu Lake Higher Education Town (HET) grant, 2015
• Full Scholarship for 4 years for PhD career 2012

• Energy audit Certificate
• Solar Energy Certificate

• The impact of the UK Government’s lock down on energy networks, (EPSRC),2020
• Active Building Centre, (EPSRC) , 2019-present
• Building as a Power Plant (EPSRC), 2018-2019
• Occupancy-driven intelligent control of HVAC system for saving energy and enhancing thermal comfort (RISGC), 2017
• Dushu Lake Higher Education Town (HET) Grant, 2015-2016

Journal Referee: Renewable Energy, Building and Environment, International Journal of Computing and Digital Systems, Journal of Architectural Engineering, IET Smart Grid
Conference Referee: Technical Program Committee IEEE 12th International Conference CICN 2020, IEEE 7th International Conference EECSI 2020

Energy Data Taskforce :
The Energy Data Taskforce, commissioned by Government, Ofgem, and Innovate UK, has set out five key recommendations that will modernize the UK energy system and drive it towards a net zero carbon future through an integrated data and digital strategy throughout the sector. The first report was published on 13th June 2019 .

PhD student Mohammad Khalil

• The impact of the UK Government’s lock down on energy networks, (EPSRC),2020
• Active Building Centre, (EPSRC) , 2019-present
• Building as a Power Plant (EPSRC), 2018-2019
• Occupancy-driven intelligent control of HVAC system for saving energy and enhancing thermal comfort (RISGC), 2017
• Dushu Lake Higher Education Town (HET) Grant, 2015-2016

• Introduce a novel methodology for construction progress monitoring in concrete structures using infrared thermography
• Develop an occupancy-driven HVAC system to save energy inside commercial buildings by at least %11
• Develop new missing data patterns for building and energy databases
• Develop a novel imputation algorithm (KNN in row) for building and energy studies
• A systematic approach to select the most suitable technique for treating missing values in datasets

https://orcid.org/0000-0001-7268-3355