Umair Rasool - Urban Flooding - Best Researcher Award

Beijing Normal University - China

AUTHOR PROFILE

ORCID

EARLY ACADEMIC PURSUITS:

Umair Rasool initiated his academic journey with a focus on Applied Geology, earning a Bachelor of Science degree from the University of Azad Jammu and Kashmir, Pakistan, in 2014. This laid the foundation for his future contributions in environmental sciences.

PROFESSIONAL ENDEAVORS:

Umair's professional journey commenced as a Junior Geologist in companies such as M/S Trend Scatters Construction Company in Pakistan (2015-2016) and SAMBO Construction Company in South Korea (2014-2015). These roles involved crucial responsibilities in soil and aggregate testing, as well as concrete testing for infrastructure projects.

CONTRIBUTIONS AND RESEARCH FOCUS:

Currently pursuing a Ph.D. in Environmental Sciences at Beijing Normal University (2020-2024*), Umair specializes in Surface Water Modeling, Urban Flood Modeling, Machine Learning, and the Lunar Phases' Influence on Rainfall. His research aligns with developing sustainable water management strategies and understanding climate change impacts on water resources.

IMPACT AND INFLUENCE:

Umair's work as a hydro-environmental scientist and spatial data analyst has a direct impact on urban flooding modeling. Utilizing machine learning models and physically based flood mapping techniques, he contributes to predicting and understanding the ramifications of heavy rainfall events in urban areas. His analyses also encompass the influence of lunar phases and meteorological parameters on extreme rainfall events.

ACADEMIC CITES:

While pursuing his M.Phil in Geological Resources and Geological Engineering at China University of Geosciences (2017-2020), Umair contributed significantly to groundwater potential mapping, land use cover mapping, and geological mapping. His academic journey is marked by a commitment to understanding and managing Earth's resources.

LEGACY AND FUTURE CONTRIBUTIONS:

Umair aspires to promote sustainable water management practices and increase awareness of environmental change impacts. His expertise in GIS, remote sensing, and machine learning positions him to empower individuals, organizations, and governments to protect water resources for a more sustainable future.