Muhammad Zohaib Sarwar
About
Introduction:
Doctoral researcher at the Department of Structural Engineering NTNU Norway. My main research goal is to work in a multidisciplinary field incorporating traditional engineering and Data Science to design and implement monitoring systems for rapid condition assessment of critical infrastructures including offshore platforms, underwater infrastructures, bridges, buildings and transportation networks. Presently my research work is mainly focused on indirect bridge monitoring techniques and multi-sensor fusion for bridge damage detection and localisation.
The broader area of research interest is in Digitalisation, Automation, Structural dynamic, Rapid condition assessment of infrastructure, using machine learning, big data analysis, Statistical modelling, transfer learning, Time-series analysis, Digital signal processing, WSN technologies and indirect monitoring techniques.
PhD Project: Automated Structural Condition Assessment for Concrete Bridges
Supervisor: Daniel Cantero
Research Project: ICD - Intelligent Concrete Drying
Research
Automated Structural Condition Assessment for Concrete Bridges
ICD - Intelligent Concrete Drying
Publications
2022
-
Sarwar, Muhammad Zohaib;
Cantero, Daniel.
(2022)
Vehicle assisted bridge damage assessment using probabilistic deep learning.
Measurement.
volum 206.
Academic article
2021
-
Sarwar, Muhammad Zohaib;
Cantero, Daniel.
(2021)
Deep autoencoder architecture for bridge damage assessment using responses from several vehicles.
Engineering structures.
volum 246.
Academic article
2020
-
Saleem, Muhammad Rakeh;
Park, Jongwoong;
Lee, Jin-Hwan;
Jung, Hyung-Jo;
Sarwar, Muhammad Zohaib.
(2020)
Instant bridge visual inspection using an unmanned aerial vehicle by image capturing and geo-tagging system and deep convolutional neural network.
Structural Health Monitoring.
Academic article
-
Sarwar, Muhammad Zohaib;
Park, Jongwoong.
(2020)
Bridge Displacement Estimation Using a Co-Located Acceleration and Strain.
Sensors.
volum 20 (4).
Academic article
-
Sarwar, Muhammad Zohaib;
Saleem, Muhammad Rakeh;
Park, Jongwoong;
Moon, Do-Soo;
Kim, Dong Joo.
(2020)
Multimetric Event-driven System for Long-Term Wireless Sensor Operation in SHM Application.
IEEE Sensors Journal.
volum 20 (10).
Academic article
Journal publications
-
Sarwar, Muhammad Zohaib;
Cantero, Daniel.
(2022)
Vehicle assisted bridge damage assessment using probabilistic deep learning.
Measurement.
volum 206.
Academic article
-
Sarwar, Muhammad Zohaib;
Cantero, Daniel.
(2021)
Deep autoencoder architecture for bridge damage assessment using responses from several vehicles.
Engineering structures.
volum 246.
Academic article
-
Saleem, Muhammad Rakeh;
Park, Jongwoong;
Lee, Jin-Hwan;
Jung, Hyung-Jo;
Sarwar, Muhammad Zohaib.
(2020)
Instant bridge visual inspection using an unmanned aerial vehicle by image capturing and geo-tagging system and deep convolutional neural network.
Structural Health Monitoring.
Academic article
-
Sarwar, Muhammad Zohaib;
Park, Jongwoong.
(2020)
Bridge Displacement Estimation Using a Co-Located Acceleration and Strain.
Sensors.
volum 20 (4).
Academic article
-
Sarwar, Muhammad Zohaib;
Saleem, Muhammad Rakeh;
Park, Jongwoong;
Moon, Do-Soo;
Kim, Dong Joo.
(2020)
Multimetric Event-driven System for Long-Term Wireless Sensor Operation in SHM Application.
IEEE Sensors Journal.
volum 20 (10).
Academic article
Media
2022
-
Academic lectureSarwar, Muhammad Zohaib; Cantero, Daniel. (2022) Data-driven bridge damage detection using multiple passing vehicles responses. IABMAS 2022 - 11th Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability ; Barcelona. 2022-07-11 - 2022-07-14.
2021
-
Academic lectureSarwar, Muhammad Zohaib; Cantero, Daniel. (2021) Unsupervised deep learning-based damage detection using the fleet-sourcing concept. SHMII-10 - 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure ; 2021-06-30 - 2021-07-02.