I connect civil engineering fundamentals with AI-driven research to explore smarter ways to inspect, understand, and manage critical infrastructure.
I’m Ramin Osti — a civil engineer with a practical foundation in infrastructure delivery and a research focus on the next generation of infrastructure intelligence.
My experience spans airport pavement and apron works, bridge construction, structural design, construction supervision, and infrastructure reconstruction. Through the Erasmus Mundus NORISK programme, I deepened my focus on infrastructure risk, reliability, and resilience across Portugal and Spain.
Today, I’m especially interested in how computer vision, multispectral and thermal imaging, drone data, and digital twins can support more informed bridge inspection and infrastructure management.
Practical experience across infrastructure construction, structural engineering, and public-sector reconstruction.
China National Aero Technology International Engineering Corporation · Kathmandu, Nepal
Infrastructure Development Office · Nawalparasi East, Nepal
Liberty Builders Nepal Pvt. Ltd. · Bharatpur, Nepal
District Level Project Implementation Unit, National Reconstruction Authority · Nepal
Iconic Engineering Consultancy · Nawalparasi East, Nepal
Connecting engineering knowledge, emerging technologies, and infrastructure decision-making.
Research exploring an inspection protocol that brings together multispectral imagery, thermal data, drone vision, and digital twins to investigate new approaches to bridge inspection.
Research in progress exploring language-based approaches for connecting inspection protocols with building information models.
A collaborative academic project focused on the resilience and sustainability of the Palace of the Dukes of Bragança.
Undergraduate project covering seismic analysis and structural design of a multi-storey reinforced cement concrete commercial building.
Proposed technical concepts for future development. These are ideas and prototype directions—not claims of deployed systems.
Explore how inspection imagery and computer vision could help organize observations and flag areas for further engineering review.
A concept for connecting 3D assets with inspection observations, sensor readings, and maintenance records.
A transparent view of condition indicators, inspection findings, assumptions, and maintenance priorities.
Research integrity matters. These concepts are presented as future development directions. Any future demo will distinguish simulated data from real measurements and will not substitute for professional engineering assessment.
A practical toolkit spanning design, analysis, visualization, infrastructure delivery, and AI-oriented research.
Core civil and structural engineering knowledge developed through academic training and field experience.
Risk Assessment and Management of Civil Infrastructures (NORISK EMJM)
Universidade do Minho, Portugal · Universitat Politècnica de Catalunya, SpainKathmandu Engineering College · Tribhuvan University, Nepal
Stage 1 Competency Assessment — Competent (2024); Civil Engineer License, Category A (2021).
Sound structural principles, practical construction knowledge, safety, and quality remain the foundation.
AI, digital twins, computer vision, and data integration can extend how engineers observe and understand infrastructure.
Risk-informed thinking, lifecycle planning, and transparent evidence can support safer and more sustainable infrastructure.
Interested in engineering roles, research collaboration, or AI-enabled infrastructure? I'd be glad to connect.