Ms. Sofiia Drozd | Remote Sensing | Best Researcher Award

Ms. Sofiia Drozd, Remote Sensing, Best Researcher Award

Sofiia Drozd at National Technical University of Ukraine, Ukraine

Professional Profile

🌟 Summary:

Sofiia Drozd is a dedicated Master’s student at NTUU KPI, specializing in Mathematical Modeling and Data Analysis, and a researcher at the Space Research Institute NASU-SSAU. Her expertise spans machine learning, remote sensing, and satellite data processing, with significant contributions to global projects supported by organizations like the World Bank and Horizon Europe. Sofiia’s research focuses on developing algorithms for environmental monitoring, land use analysis, and renewable energy assessment. She actively contributes to Ukraine’s energy sector recovery and agricultural damage assessment efforts, aiming to restore stability and sustainability in both domains.

🎓 Education:

Master’s student in Mathematical Modeling and Data Analysis, NTUU KPI

💼 Professional Experience:

Researcher, Space Research Institute NASU-SSAU

🔬 Research Areas:

  • AI and machine learning
  • Remote sensing
  • Satellite data processing
  • GIS

📖 Publications Top Noted:

Paper Title: Solar energy potential mapping in Ukraine through integration of GIS, remote sensing, and fuzzy logic
  • Authors: Sofiia Drozd, Nataliia Kussul
  • Journal: European Journal of Remote Sensing
  • Year: 2024
Paper Title: Evaluating the Impact of Armed Conflict on Agricultural Sector in Ukraine through Remote Sensing and Machine Learning
  • Authors: Sofiia Drozd, Nataliia Kussul, Hanna Yailymova
  • Year: 2024
Paper Title: War damage detection based on satellite data
  • Authors: Andrii Shelestov, Sophia Drozd, Polina Mikava, Illia Barabash, Hanna Yailymova
  • Year: 2023
  • Citations: 5
Paper Title: Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning
  • Authors: Nataliia Kussul, Sofiia Drozd, Hanna Yailymova, Andrii Shelestov, Guido Lemoine, Klaus Deininger
  • Journal: International Journal of Applied Earth Observation and Geoinformation
  • Year: 2023
  • Citations: 3
Paper Title: Generative adversarial network augmentation for solving the training data imbalance problem in crop classification
  • Authors: Leonid Shumilo, Anton Okhrimenko, Nataliia Kussul, Sofiia Drozd, Oleh Shkalikov
  • Year: 2023
  • Citations: 3

Jyoti-Sharma-Remote Sensing-Best Researcher Award 

Dr. Jyoti-Sharma-Remote Sensing-Best Researcher Award 

India Meteorological Department-India 

Author Profile

Early Academic Pursuits

Dr. Jyoti Sharma's academic journey commenced with a Bachelor of Science degree in Physics, Mathematics, and Chemistry from M. J. P. Rohilkhand University, Bareilly, followed by a Master's in Physics from the same institution. Her academic pursuits culminated in a Ph.D. in Remote Sensing from the Department of Physics, Indian Institute of Technology, BHU, Varanasi. During her doctoral research, Sharma delved into the retrieval of soil moisture and biophysical parameters using microwave spaceborne observations, showcasing her early interest in remote sensing applications for environmental studies.

Professional Endeavors

Dr. Jyoti Sharma's professional trajectory underscores her commitment to advancing remote sensing techniques for environmental monitoring. She commenced her post-doctoral journey as a Research Associate at the Hydrology Process Group, National Centre for Earth Science Studies, Thiruvananthapuram, Kerala. Following this, she assumed the role of Project Scientist at the India Meteorological Department, New Delhi. These roles provided her with diverse opportunities to apply her expertise in satellite data processing, radar data processing, and image analysis techniques.

Contributions and Research Focus

Dr. Jyoti Sharma's research contributions span various domains within remote sensing and geoscience. Her work encompasses the refinement of algorithms for soil moisture retrieval, improvement of spatial representation of soil moisture data, and the estimation of biophysical parameters using radar and satellite data. Notably, her research has been published in prestigious journals such as Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing, showcasing the significance of her contributions to the scientific community.

Accolades and Recognition

Sharma's dedication to her research endeavors has garnered recognition from the academic community. She was awarded the Best Poster Award at the International Soil Moisture School (ISMS) by the IEEE-GRSS society in 2023. Additionally, her qualification as a CSIR-NET JRF in Physical Science further underscores her academic prowess and recognition within her field.

Impact and Influence

Dr. Jyoti Sharma's research outputs and participation in academic conferences have contributed significantly to the advancement of remote sensing techniques for environmental monitoring. Her investigations into soil moisture retrieval algorithms and biophysical parameter estimation have implications for agriculture, hydrology, and climate studies. Moreover, her collaborations with national and international research institutions underscore her role in fostering interdisciplinary research partnerships for addressing complex environmental challenges.

Jyoti Sharma's exemplary dedication to advancing remote sensing techniques has earned her the prestigious Remote Sensing Award.

Legacy and Future Contributions

As Dr. Jyoti Sharma continues to evolve professionally, her legacy lies in her contributions to the refinement of remote sensing methodologies for environmental monitoring and assessment. Her interdisciplinary approach and expertise in satellite data processing equip her to address emerging challenges in climate change, land use dynamics, and water resource management. Looking ahead, Sharma's future contributions are poised to further enrich our understanding of Earth's systems and support evidence-based decision-making for sustainable development.

In summary, Jyoti Sharma's academic journey, professional endeavors, research focus, accolades, and future contributions collectively underscore her significant impact on the field of remote sensing and geoscience. Her commitment to excellence and interdisciplinary collaboration positions her as a leading figure in the domain of environmental monitoring and assessment.

Citations

  • Citations     109
  • h-index           6
  • i10-index        3

Notable Publication