Professor | UPC BarcelonaTech
Low-cost sensing, artificial intelligence and digital workflows for resilient civil infrastructure.
Industry AI Apps
AI Apps and Workflow Tools from Research-Led Practice
A curated portfolio of deployed tools showing how structural engineering methods, tender-analysis workflows and applied AI can become usable decision-support software.
View the full AI apps portfolio
UPC School AI Microcredential
Artificial Intelligence Applied to Construction
Live online programme starting 13/05/2026. The course includes generative AI, AI assistants, web apps, dashboards, reports, data scripts, agentic AI and API integrations for AECO professionals.
- 5 live public demos
- Research-led and workflow-specific
- Barcelona, Spain with EU-focused company work
- Private or internal deployment can be discussed
Technical office QA
Plan Version Comparator
Reduces revision risk by highlighting changes, prioritising impact and exporting an Excel-ready review record.
Open live app
Tender analysis AI
Analizador de Pliegos
Turns procurement documents into a clearer AI-assisted review workflow for cost signals, unusual clauses and side-by-side comparison.
Open live appSeismic response analysis
SDOF Seismic Analyzer
For rapid seismic scenario testing, structural dynamics teaching, preliminary screening and explainable analysis workflows for design teams.
Open live appEurocode 2 design support
RC Interaction Diagram according to Eurocode 2
For consultants, tunnel engineers and structural offices that need fast RC section-capacity checks and clearer visual decision support.
Open live appQuantity takeoff automation
DXF Rebar Concrete Takeoff
For construction companies, technical offices and site teams that need faster quantity checks from drawings without rebuilding every rebar note manually in spreadsheets.
Open live appAcademic Profile
Research for Measurable Infrastructure Decisions
Dr. Komarizadehasl is a professor in the Department of Civil and Environmental Engineering at Universitat Politecnica de Catalunya - BarcelonaTech. His work connects structural engineering practice with low-cost sensing, operational modal analysis, artificial intelligence and digital models for infrastructure assessment.
He earned his BSc in Civil Engineering from Khajeh Nasir Toosi University of Technology in 2014, his MSc in Structural Civil Engineering from the University of Tehran in 2017 and his PhD in Construction Engineering from UPC in 2022. His academic path includes postdoctoral research at UPC, visiting research stays at Tongji University and a Unite! Visiting Professorship at TU Darmstadt for winter semester 2025/26.
His teaching spans construction procedures, bridge and building construction, project management, structure management, prestressed technology, structural health monitoring and applied AI for construction engineering.
Research Focus
Low-Cost Sensing, Digital Models and AI
Low-Cost Structural Health Monitoring
Design and validation of reliable, affordable sensing systems for bridge and building monitoring.
AI for Civil Infrastructure
Deep learning, computer vision and generative AI workflows for inspection, calibration and decision support.
BIM, IoT and Digital Twins
Self-correcting infrastructure models that connect field measurements with engineering knowledge.
Operational Modal Analysis
System identification, eigenfrequency tracking and analytical calibration of structural models.
Bridge Monitoring and Reliability
Drive-through monitoring, long-term dynamic data and reliability analysis for asset management.
Structural Pathology Assessment
Practical evaluation of damage, corrosion, deformation and performance loss in existing structures.
Full Profile
Explore the Detailed Academic CV
Education, qualifications and roles
CV Profile
Academic trajectory, STEAM postgraduate diploma, awards, leadership and professional qualifications.
Doctoral direction and academic projectsTeaching & Supervision
UPC courses, AI microcredentials, PhD supervision and TFM/TFG direction.
University networksInternational Links
Tongji, TU Darmstadt, UCLM, Unite!, Erasmus Mundus NoRisk and other university collaborations.
Outputs and projectsResearch Portfolio
Funded research, technology transfer, patents, selected publications and research themes.
Selected Work
Publications and Outputs
Innovative experimental assessment of direct and drive-by monitoring on two truss bridges
Measurement, 278, 121693
Open DOIA novel drive-through approach using multi-sensor placement and its validation on two cable-stayed bridges
Developments in the Built Environment
Open DOIApplication of intelligent low-cost accelerometers for bridge monitoring with a deep learning approach
Structural Control and Health Monitoring
Open DOICost-effective bridge health monitoring via automated operational modal analysis using low-cost adaptable and reliable accelerometers
Structure and Infrastructure Engineering
Open DOIFrequency identification of non-beam bridges using vehicle scanning methods: Analytical formulation and experimental validation
Structures
Open DOIBridge Damping Ratio Identification and Variation Analysis Based on Two-Year Monitoring Data Considering Operational Environment Effects
Structural Control and Health Monitoring
Open DOIDevelopment and validation of a novel IoT-enabled electrical resistance system for non-destructive monitoring of atmospheric corrosion in steel structures
Building Materials and Structures
Open DOIDevelopment of an Advanced Multi-Layer Digital Twin Conceptual Framework for Underground Mining
Sensors
Open DOIRecent Professional Activity
LinkedIn post
IABMAS 2026 Special Session MS 11
Announced an extended abstract deadline for a special session on digital intelligence in infrastructure engineering, agentic AI, generative AI and structural health monitoring.
LinkedIn profile activity
Low-Cost and Digital Technologies for Urban Infrastructure
Shared expertise on low-cost monitoring and digital methods for urban infrastructure improvement in a professional knowledge session.
LinkedIn profile activity
AI, Digital Twins and Infrastructure Innovation
Recent activity highlights structural health monitoring, digital twins, civil engineering AI and research collaboration across international networks.