Biography
Google ScholarEmran 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
Academic Publications
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Obaid, L., Hamad, K., Al-Ruzouq, R., Dabous, S. A., Ismail, K., & Alotaibi, E. (2025). State-of-the-art review of unmanned aerial vehicles (UAVs) and artificial intelligence (AI) for traffic and safety analyses: Recent progress, applications, challenges, and opportunities. Transportation Research Interdisciplinary Perspectives, 33, 101591. https://doi.org/10.1016/j.trip.2025.101591
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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 Advances, 24, 100946. https://doi.org/10.1016/j.ceja.2025.100946
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Almarzooqi, A. Y., Arab, M. G., Omar, M., & Alotaibi, E. (2026). ML-driven decision support for dynamic modeling of calcareous sands. Machine Learning and Knowledge Extraction, 8(3), Article 68. https://doi.org/10.3390/make8030068
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Alotaibi, E., Nassif, N., Metawa, A., & Alhalabi, M. (2026). Artificial intelligence for bridge resilience under extreme conditions: in-depth analysis and future priorities. Results in Engineering, 29. https://doi.org/10.1016/j.rineng.2026.109955
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Alotaibi, E., Nassif, N., & Alhalabi, M. (2026). Ultra-high-performance concrete for Sustainable Development Goals: A systematic review and conceptual framework. Journal of Building Engineering, 123. https://doi.org/10.1016/j.jobe.2026.115802
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Almarzooqi, A., Arab, M. G., Omar, M., & Alotaibi, E. (2025). Benchmarking conventional machine learning models for dynamic soil property prediction. Buildings, 15(22), Article 4188. https://doi.org/10.3390/buildings15224188
Academic Contributions
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)