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dr.ing. R. Kromanis (Roland)

Assistant Professor

About Me

I joined the Department of Construction Management and Engineering (CME), Faculty of Engineering Technology (ET) in September 2019 as an assistant professor (tenure track). My position is in a program on the resilient engineering (RE) of the Four Technical Universities (4TU.RE) of the Netherlands. This program (Designing Systems for Informed Resilience Engineering (DeSIRE)) has opened 16 tenure track positions. My research role aims to provide monitoring solutions for our civil infrastructure advancing their resilience.

My previous research has predominantly focused on structural health monitoring (SHM) of bridges. One of the tasks of SHM is to use sensing technologies to collect useful information about the performance of man-made (e.g. dykes, bridges, buildings) and natural (e.g. rivers, coastal dunes) components of the infrastructure. The challenge is not only collecting data/information but ‘making sense’ of it. I seek for resilient monitoring solutions, systems that are enhanced with an artificial intelligence and can recover from shocks, to provide meaningful interpretation of the performance of our civil infrastructure.

Expertise

Engineering & Materials Science
# Anomaly Detection
# Cameras
# Computer Vision
# Damage Detection
# Hot Temperature
# Monitoring
# Smartphones
# Structural Health Monitoring

Organisations

Publications

Recent
Borah, S., Al-Habaibeh, A. , & Kromanis, R. (2023). Measuring Thermal Response of Bridges Using Vision-Based Technologies and LVDTs. In P. Rizzo, & A. Milazzo (Eds.), European Workshop on Structural Health Monitoring - EWSHM 2022 (Vol. 2, pp. 496-505). (Lecture Notes in Civil Engineering; Vol. 254 LNCE). Springer Science + Business Media. https://doi.org/10.1007/978-3-031-07258-1_51
Wynne, Z., Buchanan, C., Kyvelou, P., Gardner, L. , Kromanis, R., Stratford, T., & Reynolds, T. P. S. (2022). Dynamic testing and analysis of the world's first metal 3D printed bridge. Case Studies in Construction Materials, 17, [e01541]. https://doi.org/10.1016/j.cscm.2022.e01541
Lydon, D. , Kromanis, R., Lydon, M., Early, J., & Taylor, S. (2022). Use of a roving computer vision system to compare anomaly detection techniques for health monitoring of bridges. Journal of Civil Structural Health Monitoring, 12(6), 1299-1316. https://doi.org/10.1007/s13349-022-00617-w
Kromanis, R., & Elias, S. (2022). Measuring Dynamic Response of the Wilford Suspension Bridge with a Vision-Based Measurement System: A Case Study. In P. Rizzo, & A. Milazzo (Eds.), European Workshop on Structural Health Monitoring, EWSHM 2022, Volume 1 (pp. 280-289). (Lecture Notes in Civil Engineering; Vol. 253 LNCE). Springer Science + Business Media. https://doi.org/10.1007/978-3-031-07254-3_28
Kromanis, R., & Buchanan, C. (2021). Initial investigations into the thermal response of the first metal 3D printed bridge. In Proceedings of the 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure (pp. 1593-1599)
Borah, S., Al-Habaibeh, A. , & Kromanis, R. (2021). Thermal response measurement of bridges using vision-based monitoring. In Proceedings of the International Conference on Structural Health Monitoring of Intelligent Infrastructure (pp. 1121-1126)
Obiechefu, C. B. , Kromanis, R., Mohammad, F., & Arab, Z. (2021). Vision-Based Damage Detection Using Inclination Angles and Curvature. In C. Rainieri, G. Fabbrocino, N. Caterino, F. Ceroni, & M. A. Notarangelo (Eds.), Civil Structural Health Monitoring: Proceedings of CSHM-8 Workshop (pp. 115-127). (Lecture Notes in Civil Engineering; Vol. 156). Springer. https://doi.org/10.1007/978-3-030-74258-4_7
Kromanis, R. (2021). Characterizing Footbridge Response from Cyclist Crossings with Computer Vision-Based Monitoring. In C. Rainieri, G. Fabbrocino, N. Caterino, F. Ceroni, & M. A. Notarangelo (Eds.), Civil Structural Health Monitoring: Proceedings of CSHM-8 Workshop (pp. 83-95). (Lecture Notes in Civil Engineering; Vol. 156). Springer. https://doi.org/10.1007/978-3-030-74258-4_5

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In the press

Here is a recent post on 4TU website about the MX3D printed bridge that CEM team is equipping with a sensor network: https://www.4tu.nl/resilience/news-and-events/newsletter-archive/newsletter-december19-interview-rolands-kromanis/

Contact Details

 
 

Visiting Address

University of Twente
Faculty of Engineering Technology
Horst Complex (building no. 20), room Z230
De Horst 2
7522LW  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Engineering Technology
Horst Complex  Z230
P.O. Box 217
7500 AE Enschede
The Netherlands

Organisations

Additional Contact Information

 


University of Twente Drienerlolaan 5
7522 NB Enschede
+31 (0)53 489 9111
info@utwente.nl
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