Dr Bahareh Kamranzad
一本道 Chancellor's Fellow
Civil and Environmental Engineering
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Prize And Awards
- Recipient
- 16/3/2026
- Recipient
- 2024
- Recipient
- 7/2023
- Recipient
- 2022
- Recipient
- 2021
- Recipient
- 2020
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Publications
- Saha Kamlesh Kumar, Kumar Prashant, Singh Anurag, , Balakrishnan Nair TM, Rajni
- Ocean Engineering Vol 362 (2026)
- , Blockley Ed
- 45th International Ocean Offshore and Arctic Engineering Conference (2026)
- Arju , Kumar Prashant, , Balakrishnan TM, Rajni
- Ocean Engineering Vol 357 (2026)
- ,
- JpGU-AGU Joint Meeting 2026 (2026)
- , , Lavidas George
- JpGU-AGU Joint Meeting 2026 (2026)
- JpGU-AGU Joint Meeting 2026 (2026)
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Professional Activities
- Organiser
- 30/6/2026
- Host
- 30/6/2026
- Visiting researcher
- 4/6/2026
- Invited speaker
- 2/6/2026
- Visiting researcher
- 2/6/2026
- Organiser
- 1/6/2026
Projects
- Dethlef, Nina (Principal Investigator) Kamranzad, Bahareh (Co-investigator) Patelli, Edoardo (Co-investigator) Carroll, James (Co-investigator)
- Europe requires a seven-fold expansion of offshore wind (OSW) capacity by 2030 to achieve its ambitious net zero goals. Meeting this target in a way that is safe, resilient and sustainable requires new turbine structures but also solutions to bottlenecks in grid and port infrastructure, streamlined regulatory processes and optimisation of socio-economic benefits for coastal communities. Co-existence adds further complexity through OSW interactions with fisheries, sea users and marine ecosystems, where long-term impacts remain poorly understood. Artificial Intelligence (AI) has potential to enable transformative change to OSW site planning and logistics, impact assessment and workforce training. It can inform processes to overcome barriers across regulation, infrastructure, and coexistence. However, with growing automation of operational infrastructure, new vulnerabilities arise. Cybersecurity risks, such as external model manipulation, data theft, and unsafe agent behaviour, pose threats to turbines, grids, and autonomous vessels, and could undermining energy security. AI鈥檚 own environmental footprint has also come under scrutiny, highlighting the need for low-cost, energy-efficient algorithms. Moreover, climate change introduces deep uncertainty for OSW design and operations through shifts in wind patterns, rising sea levels, and intensifying storms that can complicate energy yield forecasts, structural health monitoring, and vessel access. AI can support adaptation by downscaling climate models, forecasting extreme events, and embedding risk-aware learning into digital twins. This COST Action convenes a balanced, inclusive, geographically-diverse network of experts. By highlighting gaps in data, knowledge, regulation, and best practice, it will create roadmaps towards safe, sustainable, digitally-enabled OSW growth and strengthen Europe鈥檚 OSW leadership.
Funding: 鈧140K per year (duration: 4 years) - 19-Jan-2026 - 18-Jan-2030
- White, Chris (Principal Investigator) Kamranzad, Bahareh (Co-investigator) Tubaldi, Enrico (Co-investigator)
- 01-Jan-2025 - 31-Jan-2028
- Kamranzad, Bahareh (Principal Investigator) Henriquez-Mui, Fiona (Co-investigator) Zou, Qingping (Co-investigator) Evans, Paul (Co-investigator)
- John Anderson Research Studentship Scheme (JARSS)-Research Excellence Award | EPSRC
This project focuses on using advanced monitoring technologies to study coastal dunes and shoreline dynamics, which are critical habitats and buffers against coastal hazards. Coastal dunes play a dual role in biodiversity conservation and as natural defences for inland areas. Climate change, through processes such as sea-level rise, increased storm intensity, and sediment instability, threatens these dynamic systems. By utilising high-resolution remote sensing technologies, this project will provide a detailed evaluation of sediment transport, shoreline morphology, and dune system dynamics over a 20鈥30 year timescale. It will generate actionable insights to support conservation and sustainable management of Scotland's coastal regions.
Funding: 拢78,914 - 01-Jan-2025 - 30-Jan-2028
- Kamranzad, Bahareh (Principal Investigator)
- 31-Jan-2025 - 30-Jan-2027
- Kamranzad, Bahareh (Principal Investigator)
- 01-Jan-2025 - 31-Jan-2026
- Kamranzad, Bahareh (Principal Investigator) Suryasentana, Stephen (Co-investigator) Jia, Laibing (Co-investigator) Arredondo Galeana, Abel (Co-investigator)
- EPSRC Research Excellence Award Studentship
The project includes extensive research activities such as feasibility analysis, suitability assessments for energy production, and stakeholder engagement. The expected outcomes include comprehensive feasibility reports, redefined suitable locations for hybrid energy systems, policy recommendations, and pathways for local community involvement.
Funding: 拢89,955 - 01-Jan-2024 - 01-Jan-2028
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Contact
Dr
Bahareh
Kamranzad
一本道 Chancellor's Fellow
Civil and Environmental Engineering
Email: bahareh.kamranzad@strath.ac.uk
Tel: Unlisted