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Dr Mehdi Pazhoohesh

Job: Senior Lecturer

Faculty: Computing, Engineering and Media

School/department: School of Engineering and Sustainable Development

Address: De Montfort University, The Gateway, Leicester, LE1 9BH

T: Ext. 4821

E: mehdi.pazhoohesh@dmu.ac.uk

 

Personal profile

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.

Research group affiliations

Institute of Energy and Sustainable Development (IESD)

Publications and outputs

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Research interests/expertise

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

Areas of teaching

  • Power generation
  • Machine learning

Qualifications

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

Honours and awards

  • 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

Professional licences and certificates

  • Energy audit Certificate
  • Solar Energy Certificate

Projects

  • 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

Conference attendance

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

Consultancy work

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 .

Current research students

PhD student Mohammad Khalil

Externally funded research grants information

  • 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

Case studies

  • 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