معرفی
Rolands Kromanis is an Assistant Professor specializing in structural health monitoring and infrastructure resilience. He earned his PhD from the University of Exeter (2011-2015), focusing on bridge thermal response and signal processing. His research spans civil engineering, computer vision, and sensor technology, with a strong emphasis on data-driven anomaly detection and digital twin applications.
Research Interests: Dr. Kromanis's work bridges structural engineering and advanced data analysis. Key areas include:
- Structural Health Monitoring (SHM) of bridges and civil infrastructure
- Computer Vision for displacement measurement and damage detection
- Thermal Response Modeling of instrumented structures
- Data-Driven Approaches for predictive maintenance
- Resilience Enhancement in transportation systems
- Sensor Integration and low-cost monitoring solutions
Recent Research Trends: His 15 most recent publications (2023-2025) reveal a focus on:
- Computer vision systems for bridge dynamics and crack detection
- Thermal modeling of 3D-printed bridges (MX3D dataset)
- Digital twin frameworks for corridor resilience
- Smartphone-based SHM for accessible monitoring
- Machine learning (SVM, neural networks) in anomaly detection
- Climate adaptation strategies for critical infrastructure
Labs & Collaborations: Dr. Kromanis contributes to datasets like the MX3D Bridge Archive and collaborates internationally on projects involving 3D-printed structures, rail trackbed performance, and inland navigation infrastructure monitoring.
