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Dive into the research topics where Mohammad Ilbeigi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Collaborative Research: An AI-Enhanced System to Integrate Unstructured Observations with Formal Engineering Education
Ilbeigi, M. (PI)
15/09/24 → 31/08/27
Project: Research project
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Collaborative Research: Multi-Agent Adaptive Data Collection for Automated Post-Disaster Rapid Damage Assessment
Ilbeigi, M. (PI)
1/09/23 → 31/08/26
Project: Research project
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Collaborative Research: Research Initiation: Understanding of Engineering Core Concepts Contextualized in Domain-Specific Settings Through Active Exploration
Ilbeigi, M. (PI)
1/09/21 → 31/08/24
Project: Research project
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A life course approach to early detection and prevention of noncommunicable diseases in priority populations
Ilbeigi, M. (PI) & Mamun, A. A. (PI)
1/10/20 → 31/08/24
Project: Research project
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Adaptive data collection for post-disaster rapid damage assessment: A multi-objective optimization approach
Behrooz, H., Ilbeigi, M. & Reisi-Gahrooei, M., Nov 2025, In: International Journal of Disaster Risk Reduction. 130, 105851.Research output: Contribution to journal › Article › peer-review
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Adaptive emergency evacuation routing: a graph-based approach
Behrooz, H. & Ilbeigi, M., Dec 2025, In: International Journal of Transportation Science and Technology. 20, p. 178-192 15 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
A Deep Learning Autoregressive Forecasting Model for Probabilistic Water Pipe Break Prediction
Behrooz, H. & Ilbeigi, M., 1 Jul 2025, In: Journal of Computing in Civil Engineering. 39, 4, 04025044.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
An Active-Learning Framework for Efficient Training and Bias Mitigation in Probabilistic Forecasting of Water Pipeline Failures
Behrooz, H. & Ilbeigi, M., 1 Oct 2025, In: Journal of Performance of Constructed Facilities. 39, 5, 04025050.Research output: Contribution to journal › Article › peer-review
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An ordinal autoregressive deep learning model for probabilistic prediction of bridge deterioration condition levels
Behrooz, H. & Ilbeigi, M., 2025, (Accepted/In press) In: Structure and Infrastructure Engineering.Research output: Contribution to journal › Article › peer-review