Principle Investigator
Assistant Professor, School of Civil Engineering, University College Dublin, Ireland
Abdollah is an Assistant Professor in the school of Civil Engineering at UCD. He obtained his PhD in Civil Engineering at UCD in 2016 which was focused on “Drive-by bridge health monitoring”. He won “KB Broberg” medal for “Best UCD PhD Thesis in Mechanics- 2016”. He also won Royal Irish Academy Charlemount award in 2018 for his collaboration with University of Alberta.
Post Doctoral Researcher
School of Civil Engineering, University College Dublin, Ireland
Ramin is a Postdoctoral researcher working on developing AI algorithms for Structural Health Monitoring. He completed his PhD in Civil Engineering at the University of Sistan & Baluchestan (USB) in 2019 which was focused on “Probability-based intelligent health monitoring of structures using metaheuristic optimization algorithm, big data analysis and surrogate methods”. After that, he joined to International Institute for Urban Systems Engineering (IIUSE) at Southeast University as an adjunct research assistant professor and did research in the domains of sustainable infrastructure and hysteresis modeling. His main research interests are structure/infrastructure monitoring using advanced AI algorithms, big data in civil engineering, and wavelet applications in structural engineering.
Post Doctoral Researcher
School of Civil Engineering, University College Dublin, Ireland
Muhammad is a Postdoctoral researcher working on Railway track monitoring. He completed his PhD in Civil Engineering at UCD in 2020 which was focused on ‘Re-deployable Sensor’s Technique and Vibration-based Bridge Health Monitoring’. He won “KB Broberg” medal for “Best UCD PhD Thesis in Mechanics- 2020”. Dr. Khan also has a post-PhD industrial experience at Intel Ireland, as a Facilities Engineer to manage construction of fabrication facilities and vibration-based structural evaluation. His primary expertise is structure and infrastructure monitoring of railway and road bridges using direct or indirect vibration signals. In the Di-Rail project, his research focuses on the Railway track monitoring using vibration-based and machine learning techniques.
