Ayman Wagdy

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Areas of interest: Daylight, glare, parametric design, building simulation, machine learning, advanced digital simulation and analysis, robotic control, VR and AR

FHEA (Fellow of The Higher Education Academy)

PhD (Queensland University of Technology, under examination)

MSc (Politecnico Di Milano)

BSc (Helwan University)

 

Ayman is a passionate and dedicated (Early Career Researcher & Lecturer) who is enthusiastic about advanced digital simulation, parametric modelling, machine and deep learning. He has a record of delivering high-quality research, demonstrated by Q1 publications and grant earning capability, and he supports the delivery of innovative teaching and academic excellence. Currently, he is teaching and researching at QUT, UQ and CARRS-Q.

Teaching :

Ayman is a “Fellow” of Higher Education Academy (HEA), he has been teaching in the area of Architecture, Computational Design, and Digital Simulations for seven years, including delivery at Bachelor, Masters, PhD and Professional levels. He has experience in both studio-based, lecture-based and online-based delivery, as follows:

  • Bachelor Degree level: 3D Modelling; Integrated Technologies 1 (Environmental Principles of Architecture); Environmental Principles in Architectural Design; Create and Represent Materials; Architectural Design Studio VIII (Design Studio High Tech); Arch1160 Architectural Communication 1; Arch1201 Architectural Design.
  • Master Degree Level: Building Futures (Advanced Structures and Software); Advanced Architectural Design (Generative Structures).
  • Professionals / PhD student level: Introduction to Parametric Design (IPD); Parametric Passive Design (PPD); Parametric Simulations and Graphs (PSG).

Research:

My PhD research is linked to an ARC linkage project (LP150100179) where I actively contribute to the development of data collection methods, equipment calibration and data analysis led by Dr Veronica Garcia-Hansen. It is about developing a new approach for predicting glare using Machine Learning algorithms.

Dissertation: (Predicting Glare in Open-Plan Offices Using Simplified Data Acquisitions and Machine Learning Algorithms).

Projects:

Designing Healthy and Efficient Luminous Environments in Green Buildings

https://research.qut.edu.au/designlab/projects/lumen/

 

Glare on tunnel endpoints: Road safety problem, new methodological approach for analyses and simulations

https://research.qut.edu.au/carrsq/projects/glare-on-tunnel-endpoints-road-safety-problem-new-methodological-approach-for-analyses-and-simulations/

 

JOURNAL REVIEWER

Since 2018 I have been reviewing manuscripts for Q1 journals such as

  • Solar Energy
  • Building and Environment
  • IEEE Access
  • Advances in Building Energy Research
  • Journal of Asian Architecture and Building Engineering

https://publons.com/researcher/3136629/ayman-wagdy/peer-review/

Google Scholar Profile:

https://scholar.google.com.au/citations?user=yzrpKgYAAAAJ&hl=en&oi=ao

 

CONFERENCE PRESENTATION

I have presented my research findings and publications in various international

conferences around the world, including:

  • Building Simulation Cairo, 2013
  • the Sustainable Building Conference SB13, 2013
  • Second Saudi Forum for Planning and Design of Hospitals, 2014
  • 30th international PLEA conference, 2014
  • Fifth German-Austrian IBPSA Conference, RWTH Aachen University, 2014
  • AEI 2015: Birth and Life of the Integrated Building, 2015
  • BSA 2015 – Building Simulation Applications, 2015
  • IBPSA 2015-14th International Conference of the International Building
  • Performance Simulation Association, 2015
  • Third IBPSA – England Conference BSO, 2016
  • 36th International Conference on Passive and Low Energy Architecture, 2016
  • CIE 2017- Smarter Lighting for Better Life, 2017
  • PLEA 2017: Design to Thrive
  • Building Simulation, 2019
  • CIE 2020

SCHOLARSHIPS AND AWARDS

  • Metals in Construction Open International Competition, Finalist (The TimesCenter, New York, USA, 2020).
  • Achieved the status of “Fellow” of The Higher Education Academy (FHEA), Higher Education Academy (HEA), UK, 2020.
  • Postgraduate Research Award, Top-up excellence scholarship,Full tuition fees sponsorship for PhD study at QUT (2016-2019).
  • MEK supplemental scholarship for the academic year 2015/2016 (Misr Elkheir Foundation (MEK), Cairo, Egypt).
  • DIVA Day Competition, 2nd Place, University of Toronto, Toronto, Canada, 2015.
  • Scientific Superiority Award, 3rd Place, Egyptian Culture Office, Rome, Italy, 2013.
  • Scholarship for Masters at Politecnico Di Milano, Italy 2010 – 2012.
  • Selected design for YAMAHA Di Milano Showroom, YAMAHA Di Milano, Milan, Italy, 2012.

 

PROFESSIONAL MEMBERSHIPS

  • Registered Architect from Egyptian Engineers Syndicate since 2007
  • International Building Performance Simulation Association (IBPSA) in Australia,
  • USA and Egypt since 2013.
  • Computational Design Group Brisbane since 2016.
  • Society of Building Science Educators (SBSE) since 2019.
  • Australian Smart Communities Association (ASCA) since 2019.

 

 

Thesis Title: New predictive models for visual comfort in buildings informed by evidence-based knowledge

Interest in building more sustainable environments has increased substantially in Australia. While green buildings aim to reduce energy consumption and promote a healthier indoor environment, Baird and Thompson (2012) and Hirning et al. (2014) have shown that green buildings may not ensure office workers’ visual comfort is maintained without compromising daylight availability. Although in the last decade many indices and metrics have been developed to predict visual discomfort in the built environment, there is a lack of consensus-based glare metrics that could measure the level of visual discomfort indicated by people in their actual working environment. This PhD research investigates new approaches to glare prediction that perform well, are simple and easy to use, that combine architectural and environmental factors with physical and photometric luminance parameters. Additionally, this PhD aims to develop a new evidence-based simulation protocol to predict visual discomfort in the early design phase, enabling architects and lighting designers to ensure visual comfort, occupant well-being, and energy efficiency in daylit workplaces in green buildings in Australia.

Principal Supervisor: Dr Veronica Garcia Hansen
Associate Supervisors: Prof Robin Drogemuller, Dr Mohammed Elhenawy, Dr Gillian Isoardi (ext.)

Estimated completion date: May 2020