Ms. Eshita-Eva-Data Science-Women Researcher Award
The Ohio State University-United States
Author Profile
Early Academic Pursuits
Ms. Eshita A. Eva's academic journey is marked by a profound dedication to understanding the intricate dynamics of geography and environmental sciences. Beginning with her Bachelor of Science in Geography and Environment from the University of Dhaka, Bangladesh, Eva demonstrated a keen interest in the intersection of human activities and natural landscapes. This foundation laid the groundwork for her subsequent pursuits in higher education, culminating in her current role as a PhD Candidate in Geography at The Ohio State University.
Professional Endeavors
Throughout her academic career, Ms. Eshita Eva has actively engaged in both research and practical applications of geospatial data science and climate data analytics. Her diverse educational background, including certifications in Geographic Information Systems (GIS) and Data Analytics, equipped her with the necessary skills to navigate complex environmental challenges. Notably, her master's theses at Auburn University delved into assessing hydrological responses to climate and land use changes, showcasing her interdisciplinary approach to environmental research.
Contributions and Research Focus
Ms. Eshita Eva research endeavors have significantly contributed to the understanding of hydro-climatology and its implications for environmental management. Her publications and conference presentations, particularly those exploring the impact of land use and land cover changes on water quantity and quality, underscore her commitment to addressing real-world environmental issues. Furthermore, her ongoing PhD research on developing high-resolution soil moisture maps reflects her innovative approach to leveraging diverse datasets for improved spatial analysis.
This prestigious accolade celebrates individuals and teams who drive advancements in data science, leveraging cutting-edge techniques to solve complex problems and unlock valuable insights from vast datasets, shaping the future of technology and decision-making.
Accolades and Recognition
Ms. Eshita Eva contributions to the field have not gone unnoticed, as evidenced by her numerous conference presentations and publications in reputable journals. Her dedication to advancing the field of geospatial data science has earned her recognition from peers and mentors alike. Additionally, her involvement in interdisciplinary research forums highlights her ability to collaborate effectively across academic disciplines, further enhancing her reputation as a promising young scholar.
Impact and Influence
Ms. Eshita Eva research outputs have the potential to have a significant impact on environmental policy and management practices. By elucidating the complex interactions between land use, climate, and hydrological processes, her work provides valuable insights for decision-makers tasked with mitigating the effects of environmental change. Furthermore, her emphasis on integrating machine learning and remote sensing techniques underscores the importance of technological innovation in addressing contemporary environmental challenges.
The Data Science Award acknowledges outstanding achievements in the field, recognizing innovative approaches, groundbreaking research, and impactful contributions to data analysis, interpretation, and application
Legacy and Future Contributions
As Ms. Eshita Eva progresses in her academic and professional journey, her legacy as a pioneering researcher in geospatial data science and hydro-climatology is already taking shape. Through her rigorous scholarship and commitment to interdisciplinary collaboration, she is poised to make enduring contributions to the field of environmental science. By continuing to push the boundaries of knowledge and innovation, Eva will undoubtedly leave a lasting imprint on the academic community and the broader environmental research landscape.
Citations
- Citations 110
- h-index 2
- i10-index 1
Notable Publication
- Examining the nexus between land surface temperature and urban growth in Chattogram Metropolitan Area of Bangladesh using long term Landsat series data
- Modeling the effect of LULC change on water quantity and quality in Big Creek Lake Watershed, South Alabama USA
- Estimating Field-Scale Soil Moisture in Agricultural and Forested Environments by Blending In Situ, Remote Sensing and Modeled Data Using Machine Learning
- Evaluating the Variable Importance of 1-km Downscaled Satellite Soil Moisture Product for CONUS
- Using Random Forest to Evaluate the Downscaling Factors of 1-km Downscaled Soil Moisture for CONUS