Bio

I am a Lecturer and Chancellor's Fellow in the ​Department of Civil and Environmental Engineering, University of Strathclyde and a Fellow of UArctic x Lloyd’s Register Foundation. I have a PhD degree in Civil and Hydraulic/Coastal Engineering, an MSc in Civil Engineering-Hydraulic Structures, and a bachelor's degree in Civil Engineering. I am a leader within Strathclyde Centre for Doctoral Training in "AI-Based Ocean Forecasts for Marine Operation" mArIneCAST CDT. My research interests lie within the field of Coastal Engineering and Ocean Climate, and my primary research focuses on investigating the impacts of climate change on oceanic conditions, coastal processes, ocean renewable energies (OREs), extreme events, and coastal hazards, protection & resilience. To advance these research interests, she employs a range of computational tools, including numerical models, soft computing methods, and hybrid approaches for the simulation of oceanic conditions including wave modelling, data assimilation, and regional downscaling of climate projections. Prior to joining the University of Strathclyde, I worked for six years (2016-2022) in Japan, initially at the Disaster Prevention Research Institute (DPRI), Kyoto University under the Japan Society for the Promotion of Science (JSPS) Postdoctoral Fellowship (acceptance rate: less than 10%), and then, at the Hakubi Center for Advanced Research, Kyoto University as an Assistant Professor ​(acceptance rate: around 3%). Furthermore, I was a visiting academic at the Faculty of Natural Sciences, Imperial College, London.

The outcomes of my research have been published in over 80 peer-reviewed publications, primarily in high-tier journals such as Nature Climate Change, Scientific Reports, Energy, Renewable Energy, and Ocean Engineering, as well as leading international conferences. As a result of my contributions, I have received several awards and recognitions, including being ranked among the world’s top 2% of scientists in 2023 (by Elsevier and Stanford University) and being named an Emerging Sustainability Leader by the MDPI Sustainability Foundation and the University of Basel. I have delivered invited talks at prestigious institutions such as Delft University of Technology, Imperial College London, Kyoto University, and Université Grenoble Alpes, demonstrating my international recognition and fostering global research collaborations. These achievements have enabled me to secure highly competitive academic positions and fellowships in Japan, UK and Europe. Additionally, I have successfully obtained international research grants and led multiple projects in Japan, China, and the UK on climate change impacts on ocean dynamics and renewable energy resources. I am also a Fellow of the Higher Education Academy (FHEA), and teache in the International Joint Education Programme (IJEP) at the University of Strathclyde. Moreover, I serve as the Deputy Director of Postgraduate Research in the Department of Civil and Environmental Engineering. On the international front, I am the chair and co-founder of the International Integrated Wave Energy Research Group (IIWER), and a member of the Science Board of the Atmospheric and Hydrospheric Sciences Section, Japan Geoscience Union (JpGU). Additionally, I serve as the Deputy Editor for Ocean Engineering (Elsevier) and Advisory Editorial Board for Coastal Engineering (Elsevier). 

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Research Achievements:

I have made significant contributions to assessing the impact of climate change on the sustainability of ocean renewable energy by utilising numerical modelling, machine learning, and hybrid approaches. My research is highly interdisciplinary, bridging climate science, renewable energy, and oceanography. It has led to the development of novel criteria for evaluating the sustainability of wind and wave energy, improving resource assessment, understanding climatic variations, and enabling climate-adaptive site selection for ocean energy resources. More specifically, I have developed long-term numerical wave models to assess wind and wave energy potential, introducing novel factors to incorporate climate variability into the definition of ocean energy hotspots. I have enhanced the accuracy of regional wave modelling by integrating long-term simulations with data assimilation techniques, using resources such as reanalysis datasets, satellite altimetry, and local measurements. Additionally, I have worked on extreme value analysis, and applied both mean and extreme wind and wave climate data to define distinct climate zones at regional scales.

Beyond numerical modelling, I have applied machine learning techniques to ocean wave forecasting and hybrid hindcasting, introducing innovative input combinations that significantly improve wave climate predictions. Moreover, I have conducted wind and wave climate projections using different generations of Global Climate Models (GCMs) under various climate scenarios, and developed a novel hybrid downscaling method that combines dynamical and statistical approaches to generate high-resolution GCM outputs. By incorporating climate projections, I have identified areas with higher wave climate stability, considering both short-term fluctuations and long-term trends. Expanding the modelling period to account for long-term climate variability, I introduced new criteria for selecting optimal wave energy extraction sites based on inter- and intra-annual variations and decadal-scale changes. Additionally, I have developed a comprehensive methodology for selecting suitable sites and technologies for wave farm installations. My expertise has contributed to the generation of high-resolution ocean climate datasets at multiple scales, including global, regional (e.g., South China Sea, North Pacific, Indian Ocean), and local (e.g., Reunion Island, Sea of Japan). These datasets have been widely used in offshore renewable energy projects and climate risk assessments. 
 

For more details, please see the Publications and Projects.