Mohammad Heidarienejad

Dr. Mohammad Heidarienejad

Department of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
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Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2020 in Expert Systems with Applications
Verified
Journal Article
Closed access
AFAfshin Faramarzi
Afshin Faramarzi
MHMohammad Heidarienejad
Mohammad Heidarienejad
Seyedali MirjaliliSeyedali Mirjalili
Seyedali Mirjalili
Amir H GandomiAmir H Gandomi
Amir H Gandomi

24 May 2019 in Science
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Journal Article
Closed access
PDF file
TLTian Li
Tian Li
YZYao Zhai
Yao Zhai
SHShuaiming He
Shuaiming He
WGWentao Gan
Wentao Gan
ZWZhiyuan Wei
Zhiyuan Wei
LHLiangbing Hu
Liangbing Hu
A stronger, cooler wood: One good way to reduce the amount of cooling a building needs is to make sure it reflects away infrared radiation. Passive radiative cooling materials are engineered to do this extremely well. Li et al. engineered a wood through delignification and re-pressing to create a mechanically strong material that also cools passively. They modeled the cooling savings of their wood for 16 different U.S. cities, which suggested savings between 20 and 50%. Cooling wood would be of particular value in hot and dry climates. Science , this issue p. 760

1 July 2020 in Journal of Management in Engineering
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Journal Article
Closed access
Mark  AustinMark Austin
Mark Austin
PDParastoo Delgoshaei
Parastoo Delgoshaei
MCMaria Coelho
Maria Coelho
MHMohammad Heidarienejad
Mohammad Heidarienejad
This work was motivated by the premise that next-generation smart city systems will be enabled by widespread adoption of sensing and communication technologies deeply embedded within the physical urban domain. These technological advances (e.g., sensing, processing, and data transmission) are what makes smart city digital twins possible. This paper explores approaches and challenges in architecting and the operation of smart city digital twins. A smart city digital twin architecture is proposed that supports semantic knowledge representation and reasoning, working side by side with machine learning formalisms, to provide complementary and supportive roles in the collection and processing of data, identification of events, and automated decision-making. The semantic and machine learning sides of the proposed architecture are exercised on a problem involving simplified analysis of energy usage in buildings located in the Chicago Metropolitan Area.

1 September 2015 in Building and Environment
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Journal Article
Closed access
JSJelena Srebric
Jelena Srebric
MHMohammad Heidarienejad
Mohammad Heidarienejad
Jiying LiuJiying Liu
Jiying Liu

1 November 2019 in Applied Energy
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Journal Article
Closed access
NANarjes Abbasabadi
Narjes Abbasabadi
MAMehdi Ashayeri
Mehdi Ashayeri
Rahman AzariRahman Azari
Rahman Azari
Brent StephensBrent Stephens
Brent Stephens
MHMohammad Heidarienejad
Mohammad Heidarienejad

1 August 2015 in Building and Environment
Verified
Journal Article
Closed access
SGStefan Gracik
Stefan Gracik
MHMohammad Heidarienejad
Mohammad Heidarienejad
Jiying LiuJiying Liu
Jiying Liu
JSJelena Srebric
Jelena Srebric