Professor | UPC BarcelonaTech
Low-cost sensing, artificial intelligence and digital workflows for resilient civil infrastructure.
Industry AI Apps
AI Apps for Construction and Civil Engineering, 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. The course includes generative AI, AI assistants, web apps, dashboards, reports, data scripts, agentic AI and API integrations for AECO professionals.
- 7 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 View case study: Plan Version Comparator
BIM model audit
IFC BIM Analyst
Computes the audit deterministically in code — proxy ratio, geometry quality, georeferencing, predefined-type gaps — and generates a shareable Excel risk dashboard; the IFC is parsed locally and never uploaded.
Open live app View case study: IFC BIM AnalystSeismic response analysis
SDOF Seismic Analyzer
For rapid seismic scenario testing, structural dynamics teaching, preliminary screening and explainable analysis workflows for design teams.
View case studyEurocode 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.
View case studyQuantity 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.
View case studySolar tracker monitoring
TrackerGuard
For PV plant owners, EPCs and O&M teams evaluating structural-monitoring pilots on solar tracker fleets.
View case studyTender analysis AI
Analizador de Pliegos
For companies, consultants and technical teams that need faster tender review, clause comparison and document-based risk screening before submitting or negotiating. The public demo includes 3 free trial analyses per account; full use runs on your own API key or a private deployment.
View case studyAcademic 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.
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, patent applications, selected publications and research themes.
For companies and public bodiesStructural Monitoring Services
Instrumentation, load testing, operational modal analysis and corrosion monitoring of bridges and structures with low-cost sensors.
Instruments and field campaignsResearch Evidence
Low-cost sensors developed at UPC, laboratory calibration and monitoring campaigns on real structures.
Selected Work
Publications and Outputs
Single drive-by bridge modal frequency identification using multi-sensor data fusion
Structures, 91, 112685
Open DOIAdaptive real-time temperature compensation algorithm for electrical resistance probes in atmospheric corrosion monitoring of metallic structures
Measurement, 281, 121874
Open DOIInnovative experimental assessment of direct and drive-by monitoring on two truss bridges
Measurement, 278, 121693
Open DOIA Hybrid CNN–LSTM Framework for Vibration-Based Multi-Damage Assessment in Reinforced Concrete Bridges
Applied Sciences, 16(13), 6659
Open DOIBridge monitoring data analysis and automated report generation using multimodal large language model
Structural Health Monitoring
Open DOIData anomaly detection for structural health monitoring based on Markov transition matrix features and XGBoost
Advances in Structural Engineering
Open DOIDesign of Dry Stacking of Filtered Tailings in Extreme Seismic and Mountain Conditions
Applied Sciences, 16(8), 3911
Open DOIAn innovative drive-through approach for structural testing and experimental insights from two cable stayed bridges
Developments in the Built Environment, 22, 100653
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.
Contact
Custom AI Apps for Engineering and Infrastructure Workflows
Available for company-specific AI apps, engineering automation, monitoring workflows, research collaboration and expert evaluation.
Email: Milad.komary@upc.edu
Profile sources: CV, UPC public profile, LinkedIn public profile.