Mina Mokhtar Ibrahim Maxy
About
Mina Maxy or Mina Maxi (He/him) is currently a PhD Candidate at Industrial Ecology, Norges teknisk-naturvitenskapelige universitet (NTNU), Noway.
He is currently working with Input-output economic model and speciallized in Rebound Effects for various applications. His work integrates hybrid LCA-MRIO frameworks for macro and microeconomic calculation, combining Socioeconomic Impact Analysis with Behavioral Economics to understand how consumption patterns translate into environmental and economic outcomes.Using Python leveraging Pandas for data manipulation, Scikit-learn for predictive modeling, and Statsmodels for econometric analysis, he applies Regression Analysis (Linear and Logistic), Hypothesis Testing, and Statistical Significance Testing to validate empirical findings.
He is also working as a Teaching Assistant for Python Course at the same University (NTNU) where he is teaching how to code for MSc and PhD students on large datasets.
Mina comes from engineering background (Multi-disciplinary), he has a bachelor in civil engineering, his masters was on rehabilitation and re-purpusing buildings in structural, architecture and energy prespectives along with the reboud value calculating.
He also won the Institute of Civil Engineers awards for emerging engineers (Two years on a row 2023 & 2024, first place) over the Middle East- and North Africa (MENA) region. ICE-MENA 2023, ICE-MENA 2024
Mina wrote various papers published in international Journals link to google scholar and a blog on ICE where you can read (How can our buildings be more resilient against terrorist threats?)
For his work he was added in the ICE-UK honarary profiles Mina Maxy on (ICE-United Kingdom)
Research
Mina Maxy (He/Him) is currently researching rebound effects of socio-economic variants using Input-Output models across different variables and geographical zones. His work integrates hybrid LCA-MRIO frameworks for macro and microeconomic calculation, combining Socioeconomic Impact Analysis with Behavioral Economics to understand how consumption patterns translate into environmental and economic outcomes. He is also engaged in large-scale data cleansing and preprocessing, structuring big data analytics pipelines that support robust Statistical Modeling and Multivariate Analysis. Using Python leveraging Pandas for data manipulation, Scikit-learn for predictive modeling, and Statsmodels for econometric analysis, he applies Regression Analysis (Linear and Logistic), Hypothesis Testing, and Statistical Significance Testing to validate empirical findings. His approach emphasizes Quantitative Analysis and Predictive Analytics, translating complex datasets into actionable Data Interpretation & Insights on sustainability and socioeconomic behavior.
Publications
2025
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Elmousalami, Haytham;
Maxy, Mina Mokhtar Ibrahim;
Hui, Felix Kin Peng;
Aye, Lu.
(2025)
AI in automated sustainable construction engineering management.
Automation in Construction
Academic literature review
-
Maxy, Mina Mokhtar Ibrahim;
Ottelin, Juudit;
Ehab, Mariam.
(2025)
CFRP retrofitting of existing structures to increase resilience against extreme scenarios using AEM: the pancake collapse.
Journal of building pathology and rehabilitation
Academic article
2024
-
Alnaser, Aljawharah A.;
Maxy, Mina Mokhtar Ibrahim;
Elmousalami, Haytham.
(2024)
AI-Powered Digital Twins and Internet of Things for Smart Cities and Sustainable Building Environment.
Applied Sciences
Academic literature review
-
Elmousalami, Haytham;
Elmesalami, Hadi Hesham;
Maxy, Mina Mokhtar Ibrahim;
Farid, Ahmed Abdel Kader Mohamed;
Elshaboury, Nehal.
(2024)
A comprehensive evaluation of machine learning and deep learning algorithms for wind speed and power prediction.
Decision Analytics Journal
Academic article
Journal publications
-
Elmousalami, Haytham;
Maxy, Mina Mokhtar Ibrahim;
Hui, Felix Kin Peng;
Aye, Lu.
(2025)
AI in automated sustainable construction engineering management.
Automation in Construction
Academic literature review
-
Alnaser, Aljawharah A.;
Maxy, Mina Mokhtar Ibrahim;
Elmousalami, Haytham.
(2024)
AI-Powered Digital Twins and Internet of Things for Smart Cities and Sustainable Building Environment.
Applied Sciences
Academic literature review
-
Elmousalami, Haytham;
Elmesalami, Hadi Hesham;
Maxy, Mina Mokhtar Ibrahim;
Farid, Ahmed Abdel Kader Mohamed;
Elshaboury, Nehal.
(2024)
A comprehensive evaluation of machine learning and deep learning algorithms for wind speed and power prediction.
Decision Analytics Journal
Academic article
-
Maxy, Mina Mokhtar Ibrahim;
Ottelin, Juudit;
Ehab, Mariam.
(2025)
CFRP retrofitting of existing structures to increase resilience against extreme scenarios using AEM: the pancake collapse.
Journal of building pathology and rehabilitation
Academic article