Professional Summary
Riaz Ali is a dedicated researcher and CAS-TWAS PhD President's Fellow specializing in Computer Applied Technology (Data Mining) in Meteorology at the Chinese Academy of Sciences. With a master’s degree from Shanghai Jiao Tong University, China (2018), and a BS (Hons.) from Abdul Wali Khan University, Pakistan (2015), Riaz has developed expertise in data-driven modeling, artificial intelligence (AI), and earth observation technologies.
Riaz has authored over 10 publications in leading journals and conferences, including AGU Earth and Space Sciences, Atmospheric Research, and Sustainability. His research focuses on the quantitative forecasting of rainfall and storm surges caused by tropical cyclones, with an emphasis on utilizing AI and data mining techniques. These efforts aim to mitigate the impacts of natural hazards, including widespread flooding, heavy rainfall, and storm surges. His work also incorporates spatiotemporal analysis of meteorological events, offering valuable insights into climate and hazard risk assessments.
Riaz has received funding from prestigious organizations, including the Shenzhen Universiade International Scholarship Foundation (2023 and 2024), the Chinese Academy of Sciences, and the World Academy of Sciences. With a strong commitment to advancing satellite-based data analysis and predictive modeling, his work aligns closely with the mission of the Mohammed Bin Rashid Space Centre to build and operate earth observation satellites and deliver actionable insights through imaging and data services.
Riaz’s interdisciplinary expertise and passion for applying advanced technologies to earth observation and meteorological research make him a valuable candidate for membership in the Mohammed Bin Rashid Space Centre.