Fellowship

Fellowship @ CDRI

Projects

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Real-Time Scour Detection and Prediction for Structural Performance and Safety
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Evaluation of Cyclonic Disaster Resilience of Coastal Healthcare Infrastructure in Bangladesh: A Special Comparison with Japan
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Resilience of Power Grid Infrastructure with Renewables to Extreme Events in a Changing Climate
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Flood Disaster Resilient Hydraulic Design of Bridges Exposed to Climate Change
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Machine Learning-Based Unified Seismic Vulnerability Prediction Model for Heritage Minarets of India
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Research Outputs

Anjana, R.W.K., Herath, H.M.C.M., Jayawickrema, U.M.N., Epaarachchi, J.A. (2023). Optical Fibre Sensing and Deep Learning-Based Disaster and Climate Change Risk Assessments of Civil Infrastructure: Current Status and Future Perspective. In: Dissanayake, R., et al. ICSBE 2022. ICSBE 2022. Lecture Notes in Civil Engineering, vol 362. Springer, Singapore.
Prof Satheeskumar Navaratnam & team published: Thamboo, J., Navaratnam, S., & Ponnampalam, T. (2022). Pull-out resistance of glued in rod connection in timber: Reliability analyses using an experimental database. Construction and Building Materials, 344, 128291.
Saurabh Gupta presented on “A research proposal on remote sensing-based structural health monitoring using UAV data and machine learning approaches” at 6th International Conference on Construction, Real Estate, Infrastructure and Project Management (ICCRIP 2022) on August 26-27, 2022, at NICMAR University, Pune.
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Cohort 2022-23

The second edition of the CDRI Fellowship Programme for the year 2022-23 was launched in July 2022. Fifteen teams from 12 countries, including Australia, Bangladesh, Bhutan, Canada, Chile, India, Japan, Peru, Sri Lanka (including a Fellow from Australia), the United Kingdom and the United States of America,  worked on a diverse range of projects addressing the following themes: Early warning & decision support systems; Resilience standards; Nature-based solutions; Risk finance; and Health infrastructure resilience. 

Related link: Project Abstracts

Thematic Areas

Early Warning and Decision Support System for Infrastructure
Resilience Standards for Infrastructure
Nature-based Solutions (NbS) for Infrastructure Resilience
Risk Finance for Infrastructure
Health Infrastructure Resilience

International Jury

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Prof Jim W Hall
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Ms Marjorie Greene
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Prof Satoru Nishikawa
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Prof Ravi Sinha
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Dr Charlotte Benson

Technical Experts

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Dr Parisa Kloss
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Dr Ranit Chatterjee
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Dr Rama Pandey
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Dr Sai Bhaskar Reddy Nakka
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Dr Kampanart Silva
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Dr Anne Gibbs
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Dr Harold Aquino
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Dr Dilip Patel

Gallery

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