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Riad Saraiji
- Dean
- Ext: 6763
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Dr. Riad Saraiji holds a Ph.D. in Architectural Engineering from Pennsylvania State University. He has an extensive academic background, having taught at prestigious institutions in the U.S. and the UAE, including the University of Maryland, Pennsylvania State University, UAE University, and the British University in Dubai. Dr. Riad's research prowess is evident in his ability to secure substantial grants from renowned international organizations like NASA, the National Science Foundation, NRF, Exxon Mobil, and the Emirates Foundation. He holds three U.S. patents, one of which is attributed to Carrier Refrigeration Inc., and has developed two innovative software programs. Furthermore, Dr. Riad's academic contributions are highlighted by over 30 scholarly publications and a diverse portfolio of involvement in architectural projects, including hotels, office buildings, residences, stadiums, and roads. In addition to his academic achievements, Dr. Riad has a strong corporate background. He is the Founder and CEO of Illumitech LLC in Virginia, where he successfully raised over $700,000 in equity investment from angel investors and venture capital firms. Dr. Riad has also lent his expertise to roles such as Design Director of Shadows Lighting Urban Lighting Engineer at Fairfax County in Virginia, showcasing his ability to excel both in academia and the corporate world. Dr. Riad is currently Dean of the college of Architecture, Art, and Design at Ajman University, United Arab Emirates and founder of the Healthy Building Research Center.
Education
- Ph.D. Architectural Engineering, The Pennsylvania State University, USA
Ph.D. Architectural Engineering, The Pennsylvania State University, USA
Teaching Area
- Sustainable Architecture, Lighting, Acoustics, Intelligent Buildings, Healthy Livings.
Sustainable Architecture, Lighting, Acoustics, Intelligent Buildings, Healthy Livings.
Research
- Illumination Engineering
- Sustainable Architecture
- Healthy Buildings
Illumination Engineering
Sustainable Architecture
Healthy Buildings
Publications
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JournalIssah Al Hamad and Riad Saraiji, Issah M Alhamad; Riad Saraiji (2023) Fuzzibility: A new approach to modeling visibility using fuzzy techniques, Journal of Architectural Engineering, Vol. 29 issue 1., Journal of Architectural Engineering, Vol: 29, Mar 2023
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JournalIssah Al Hamad, Riad Saraiji, Issah M Alhamad; Riad Saraiji (2022) Indoor Illuminance Selection Procedure Using Fuzzy Techniques, Journal of Building Engineering, Vol. 62. https://doi.org/10.1016/j.jobe.2022.105362., Journal of Building Engineering, Dec 2022
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A. Abualhamd and Riad Saraiji (2018), A Contrast Based Calculation Method for Roadway Lighting, LEUKOS, 14:3, 193-211
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Saraiji, R. Younis, D. Madi, M. Gibbons, R. (2015) Pedestrian Visibility at Night: The Effect of Solid State Streetlights , Lighting Research and Technology. 0: 1-16. DOI. 10.1177/1477153515619777
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Saraiji R. Oommen, SM. (2015) Dominant Contrast as a metric for the lighting of pedestrians, Lighting Research and Technology, 47: 434-448, DOI 10.1177/1477153514525183.
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Saraiji, R. Safadi, MY Al Ghaithi, N. Mistrick, RG. (2015) A Comparison of Scale-Model Photometry and Computer Simulation in Day-Lit Spaces Using a Normalized Daylight Performance Index, Energy and Buildings, Vol.89:76-86. DOI 10.1016/j.enbuild.2014.12.033.
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Riad Saraiji and M. Saju Oommen (2012) Light Pollution Index (LPI): An Integrated Approach to Study Light Pollution with Street Lighting and Façade Lighting, LEUKOS, 9:2, 127-145
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Saraiji, R. (2009) The Effect of Street and Area Lighting on the Illumination of Building Facades and Light Trespass, Architectural Science Review, Vol 52(3): 194-210.
Issah Al Hamad and Riad Saraiji, Issah M Alhamad; Riad Saraiji (2023) Fuzzibility: A new approach to modeling visibility using fuzzy techniques, Journal of Architectural Engineering, Vol. 29 issue 1., Journal of Architectural Engineering, Vol: 29, Mar 2023
Fuzzy techniques are approximations used to model phenomena or decisions for which mathematical precision is impractical or impossible. In this work, we have developed a new approach to modeling visual performance using fuzzy techniques. Fuzzy techniques allow us to include variables that are not included in the current visual performance model. We also introduce the term critical contrast, which we define as the contrast at which a change in the rating of visual performance occurs. The comparison between our fuzzy relative visual performance model and the relative visual performance model shows close agreement for most conditions. A digital tool was also developed and is available for use. This will make the proposed metric simple to use and implement.
About the journal
Issah Al Hamad, Riad Saraiji, Issah M Alhamad; Riad Saraiji (2022) Indoor Illuminance Selection Procedure Using Fuzzy Techniques, Journal of Building Engineering, Vol. 62. https://doi.org/10.1016/j.jobe.2022.105362., Journal of Building Engineering, Dec 2022
The current practice of selecting target illuminance based on the recommendations of the Illuminating Engineering Society has serious shortcomings. For example, the visual age of the observer has precise boundaries, the illuminance values are exact instead of an acceptable range, and the sudden increase of illuminance values with age is rather arbitrary. To come up with an exact output from an input that is, by its very nature, uncertain and imprecise is virtually impossible. The aim of this work is to develop an approach that overcomes the limitations of the current illuminance selection method. This work proposes an alternative method for illuminance selection based on Fuzzy techniques. Fuzzy techniques are approximations used to model phenomena or decisions for which mathematical precision is impractical. The vagueness and uncertainties of many lighting design variables suit Fuzzy logic modeling, whereby a crisp output can be obtained from a range of Fuzzy input variables. The new method involves visual age, task difficulty and task importance as input variables which lead to a target illuminance. The target illuminance is given the name “Fuzzy Illuminance” (FILL). A MATLAB digital application was developed and can be used by lighting designers. It is expected that the proposed technique and the digital application will not only resolve the limitations of the current illuminance selection procedure but will also simplify the process of the selection of illuminance design targets and on-site verification of such design targets.
About the journal
A. Abualhamd and Riad Saraiji (2018), A Contrast Based Calculation Method for Roadway Lighting, LEUKOS, 14:3, 193-211
Saraiji, R. Younis, D. Madi, M. Gibbons, R. (2015) Pedestrian Visibility at Night: The Effect of Solid State Streetlights , Lighting Research and Technology. 0: 1-16. DOI. 10.1177/1477153515619777
Saraiji R. Oommen, SM. (2015) Dominant Contrast as a metric for the lighting of pedestrians, Lighting Research and Technology, 47: 434-448, DOI 10.1177/1477153514525183.
Saraiji, R. Safadi, MY Al Ghaithi, N. Mistrick, RG. (2015) A Comparison of Scale-Model Photometry and Computer Simulation in Day-Lit Spaces Using a Normalized Daylight Performance Index, Energy and Buildings, Vol.89:76-86. DOI 10.1016/j.enbuild.2014.12.033.
Riad Saraiji and M. Saju Oommen (2012) Light Pollution Index (LPI): An Integrated Approach to Study Light Pollution with Street Lighting and Façade Lighting, LEUKOS, 9:2, 127-145
Saraiji, R. (2009) The Effect of Street and Area Lighting on the Illumination of Building Facades and Light Trespass, Architectural Science Review, Vol 52(3): 194-210.
Memberships, Awards and Honors
- International, US, Canadian, European patent Saraiji et al. US 7887207B2 Assignee: Carrier Corporation, USA, International publication number WO 2006/101874 A1
- Lighting System Employing Bi-directional Optics for Illuminating Product Display Unit, Saraiji et al. (US 6,558,017 B1) European Patent 1321076. Assignee: Illumitech, LLC, USA
- Modular Lighting System for a Display Unit, Saraiji, R. . United State Patent (US 6,179,434 B1). Assignee: Illumitech, LLC, USA
- Dubai Award for Sustainable Transport for Best Academic Research, Roads and Transport Authority
- GIS Award of Excellence, Fairfax County, Virginia, USA
- Gordon Kissinger Graduate Fellowship, Pennsylvania State University