Dr. Emran Alotaibi |
|
|---|---|
| Highest Degree | PhD in Civil and Environmental Engineering University of Sharjah, United Arab Emirates |
| Position | Assistant Professor |
| Faculty | School of Health Sciences and Psychology |
| Department | Department of Public Health |
| Location | HUB-02 |
Name
Dr. Emran Alotaibi
Position Assistant Professor
Email Emran.alotaibi@cud.ac.ae
Location HUB-02
Highest Degree PhD in Civil and Environmental Engineering
University of Sharjah, United Arab Emirates
Faculty School of Health Sciences and Psychology
Department Department of Public Health
Position Assistant Professor
Email Emran.alotaibi@cud.ac.ae
Location HUB-02
Highest Degree PhD in Civil and Environmental Engineering
University of Sharjah, United Arab Emirates
Faculty School of Health Sciences and Psychology
Department Department of Public Health
Biography
Emran Alotaibi is an Assistant Professor in Environmental Science with a research and teaching portfolio spanning sustainability, environmental monitoring, and infrastructure management.
His work blends AI/ML with green technologies, life-cycle assessment, and resilient infrastructure design. Focus on AI/ML methods applied to both technical systems and behavioral dimensions (e.g., consumer behavior in recycling). He has taught at undergraduate and graduate levels, led high-impact projects and collaborations, published widely in top-ranked journals, and received multiple awards recognizing research excellence and innovation.
Areas of specialization
- AI/ML for environmental monitoring, climate mitigation, life-cycle assessments and green-tech assessment
- Sustainable materials, renewable energy, and green building technologies
- Circular economy approaches for recycling/repurposing in construction & environmental engineering
- Curriculum design; online and blended teaching for sustainability and digital innovation
- Waste and water management systems
Selected publications
- Alotaibi, E., Arab, M. G., & Omar, M. (2025). A novel kinetic model for urea hydrolysis via enzyme-induced carbonate precipitation (EICP) process. Chemical Engineering Journal.
- Alotaibi, E., & Nassif, N. (2024). Artificial intelligence in environmental monitoring: In-depth analysis. Discover Artificial Intelligence, 4(1), 84.
- Alotaibi, E., Arab, M. G., Abdallah, M., Nassif, N., & Omar, M. (2022). Life-cycle assessment of biocemented sands using EICP for soil stabilization. Scientific Reports, 12(1), 1–13.
- Aderibigbe, S. A., Omar, M., Elmehdi, H., Colucci-Gray, L., Hamad, K., Shanableh, A., Alotaibi, E., et al. (2025). Artificial intelligence-driven prediction of optimal technology-aided alternative operations in post-emergency contexts: A case study from an Emirati university. International Journal of Educational Research Open, 9, 100473.
- Obaid, L., Alotaibi, E., et al. (2025). State-of-the-art review of unmanned aerial vehicles (UAVs) and artificial intelligence for traffic and safety analyses. Transportation Research Interdisciplinary Perspectives.
- Hamad, K., Alotaibi, E., Zeiada, W., Al-Khateeb, G., Dabous, S. A., Omar, M., & Merabtene, T. (2025). Explainable artificial intelligence visions on incident duration using XGBoost and SHAP. Multimodal Transportation, 4(2), 100209.
- Bukhatir, A., Al-Hawari, M. A., Aderibigbe, S., Omar, M., & Alotaibi, E. (2023). Improving student retention in higher education institutions: Exploring the factors influencing employees’ extra-role behavior. Journal of Open Innovation: Technology, Market, and Complexity, 9(3), 100128.
- Aderibigbe, S. A., Alotaibi, E., & Alzouebi, K. (2023). Exploring the impact of peer mentoring on computer-supported collaborative learning among undergraduate students. International Journal of Emerging Technologies in Learning, 18(13), 4–20.
- Omar, M., Alotaibi, E., et al. (2023). Harnessing nature-inspired soft computing for reinforced soil bearing capacity prediction: A neuro-nomograph approach for efficient design. International Journal of Geosynthetics and Ground Engineering, 9(4), 53.
Projects
- AI-driven sustainability and infrastructure decision-support projects with the UAE Ministry of Energy & Infrastructure.
- Research & planning initiatives on infrastructure resilience and environmental impact optimization
- Master planning consultation, Al Soudah (Saudi Arabia): sustainability inputs for urban infrastructure
- Geo-environmental consultation for multistory developments, Mecca (Saudi Arabia) with resource-efficient solutions (2019).
Creative work
- “Intelligent Study Buddy: Unleashing the Power of ChatGPT for Effective Learning” — invited talk/workshop (2023).
- Introduction to Nomography Using Python Programing, University of Sharjah, November 2021
- Competition highlights include 1st place, Sharjah Sustainability Award (2019, Bio-inspired Honeycomb); 1st place, Sharjah Municipality Best Scientific Research (2017, Al-Rahmaniya water/sewer/storm design) and (2016, Water Palm); finalist, MIT Enterprise Forum Pan Arab (2017, Smart-Collect); and 3rd place, Sheraa Startup Weekend (2017, Water-Palm for Free Drinking Water)
Emran Alotaibi is an Assistant Professor in Environmental Science with a research and teaching portfolio spanning sustainability, environmental monitoring, and infrastructure management.
His work blends AI/ML with green technologies, life-cycle assessment, and resilient infrastructure design. Focus on AI/ML methods applied to both technical systems and behavioral dimensions (e.g., consumer behavior in recycling). He has taught at undergraduate and graduate levels, led high-impact projects and collaborations, published widely in top-ranked journals, and received multiple awards recognizing research excellence and innovation.
Areas of specialization
- AI/ML for environmental monitoring, climate mitigation, life-cycle assessments and green-tech assessment
- Sustainable materials, renewable energy, and green building technologies
- Circular economy approaches for recycling/repurposing in construction & environmental engineering
- Curriculum design; online and blended teaching for sustainability and digital innovation
- Waste and water management systems
Selected publications
- Alotaibi, E., Arab, M. G., & Omar, M. (2025). A novel kinetic model for urea hydrolysis via enzyme-induced carbonate precipitation (EICP) process. Chemical Engineering Journal.
- Alotaibi, E., & Nassif, N. (2024). Artificial intelligence in environmental monitoring: In-depth analysis. Discover Artificial Intelligence, 4(1), 84.
- Alotaibi, E., Arab, M. G., Abdallah, M., Nassif, N., & Omar, M. (2022). Life-cycle assessment of biocemented sands using EICP for soil stabilization. Scientific Reports, 12(1), 1–13.
- Aderibigbe, S. A., Omar, M., Elmehdi, H., Colucci-Gray, L., Hamad, K., Shanableh, A., Alotaibi, E., et al. (2025). Artificial intelligence-driven prediction of optimal technology-aided alternative operations in post-emergency contexts: A case study from an Emirati university. International Journal of Educational Research Open, 9, 100473.
- Obaid, L., Alotaibi, E., et al. (2025). State-of-the-art review of unmanned aerial vehicles (UAVs) and artificial intelligence for traffic and safety analyses. Transportation Research Interdisciplinary Perspectives.
- Hamad, K., Alotaibi, E., Zeiada, W., Al-Khateeb, G., Dabous, S. A., Omar, M., & Merabtene, T. (2025). Explainable artificial intelligence visions on incident duration using XGBoost and SHAP. Multimodal Transportation, 4(2), 100209.
- Bukhatir, A., Al-Hawari, M. A., Aderibigbe, S., Omar, M., & Alotaibi, E. (2023). Improving student retention in higher education institutions: Exploring the factors influencing employees’ extra-role behavior. Journal of Open Innovation: Technology, Market, and Complexity, 9(3), 100128.
- Aderibigbe, S. A., Alotaibi, E., & Alzouebi, K. (2023). Exploring the impact of peer mentoring on computer-supported collaborative learning among undergraduate students. International Journal of Emerging Technologies in Learning, 18(13), 4–20.
- Omar, M., Alotaibi, E., et al. (2023). Harnessing nature-inspired soft computing for reinforced soil bearing capacity prediction: A neuro-nomograph approach for efficient design. International Journal of Geosynthetics and Ground Engineering, 9(4), 53.
Projects
- AI-driven sustainability and infrastructure decision-support projects with the UAE Ministry of Energy & Infrastructure.
- Research & planning initiatives on infrastructure resilience and environmental impact optimization
- Master planning consultation, Al Soudah (Saudi Arabia): sustainability inputs for urban infrastructure
- Geo-environmental consultation for multistory developments, Mecca (Saudi Arabia) with resource-efficient solutions (2019).
Creative work
- “Intelligent Study Buddy: Unleashing the Power of ChatGPT for Effective Learning” — invited talk/workshop (2023).
- Introduction to Nomography Using Python Programing, University of Sharjah, November 2021
- Competition highlights include 1st place, Sharjah Sustainability Award (2019, Bio-inspired Honeycomb); 1st place, Sharjah Municipality Best Scientific Research (2017, Al-Rahmaniya water/sewer/storm design) and (2016, Water Palm); finalist, MIT Enterprise Forum Pan Arab (2017, Smart-Collect); and 3rd place, Sheraa Startup Weekend (2017, Water-Palm for Free Drinking Water)