Vishal Sharma | Climate and Remote Sensing | Best Researcher Award

Assist Prof Dr. Vishal Sharma | Climate and Remote Sensing | Best Researcher Award

Indian Institute of Technology | India

👨‍🎓 Profile

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📝 Summary

Dr. Vishal Sharma is a passionate researcher and educator in the field of Geomatics Engineering. Currently pursuing his Ph.D. at the Indian Institute of Technology (IIT) Roorkee, his research focuses on geospatial data science, remote sensing, and the application of machine learning for crop yield prediction and satellite image processing. He has extensive experience working with remote sensing data, GIS tools, and image analysis, contributing significantly to the development of innovative solutions for agricultural monitoring and environmental applications.

🎓 Education

Dr. Sharma’s academic journey has been marked by excellence in education. He is currently pursuing his Ph.D. at IIT Roorkee, where he holds a CGPA of 9.5. He completed his M.Tech. in 2013 from IIT Roorkee with a CGPA of 8.2, and earned his B.Tech. in 2010 from Hindustan College of Science and Technology. His foundational education in the sciences and engineering laid the groundwork for his research in geospatial technologies.

💼 Professional Experience

Dr. Sharma has accumulated diverse teaching and research experience, serving as an Assistant Professor-II at DIT University in Dehradun for over five years, as well as holding roles at IIMT in Meerut. His early career also included technical support work at RT Outsourcing. His academic roles have involved teaching, administrative duties, research mentoring, and curriculum development, which have honed his leadership and communication skills.

📚 Academic Contributions & Publications

Dr. Sharma’s research includes developing novel methodologies for crop yield prediction by integrating machine learning with satellite image analysis. His work on the Automatic Spectro-Temporal Feature Selection (ASTFS) method for optimal feature selection and the improvement of flood mapping models have been highly regarded in the academic community. His work is currently under review for publication in “Computers and Electronics in Agriculture.”

🖥️ Technical Skills

Dr. Sharma is proficient in advanced geospatial and image analysis tools such as Google Earth Engine (GEE), ERDAS Imagine, ArcGIS, and QGIS. His skills extend to programming with Python and RStudio for spatial data processing and machine learning applications. He is also experienced in using GIS software for natural resource mapping and image enhancement techniques.

👨‍🏫 Teaching Experience

With over 7.5 years of teaching experience, Dr. Sharma has worked with undergraduate and postgraduate students across a variety of subjects, including Digital Image Processing, Geographic Information Systems (GIS), and Data Structures. He has supervised multiple M.Tech. students on research projects and guided them in developing practical applications of geospatial technologies. His approach to teaching combines theoretical knowledge with hands-on experience in GIS and image processing.

🌍 Research Interests

Dr. Sharma’s primary research interests lie in the fields of geospatial data science, remote sensing, and the application of machine learning in crop yield prediction. His work focuses on improving crop monitoring systems and optimizing satellite image analysis techniques. He is particularly interested in using machine learning algorithms to enhance the accuracy of environmental monitoring and mapping systems.

📖  Top Noted Publications

Evaluating the Potential of 8 Band PlanetScope Dataset for Crop Classification Using Random Forest and Gradient Tree Boosting by Google Earth Engine 🌾📊
    • Authors: V Sharma, SK Ghosh
    • Citation: The International Archives of the Photogrammetry, Remote Sensing and Spatial …
    • Year: 2023
An Analysis of Multi-Source Temperature Datasets using Statistical Techniques 🌡️📊
    • Authors: V Sharma, SK Ghosh
    • Citation: MAPAN, 1-15
    • Year: 2024
Temporal Trend Analysis of Climate Data by using Innovative Polygon Trend Analysis method for Hardwar, India 🌍📈
    • Authors: V Sharma, SK Ghosh
    • Citation: 1
    • Year: 2022
Impact of Climate On Vegetation Indices Over Rainfed Districts of Uttarakhand, India 🌱☔
    • Authors: V Sharma, SK Ghosh
    • Citation: The International Archives of the Photogrammetry, Remote Sensing and Spatial …
    • Year: 2022
Impact of Climate Parameters on Vegetation Using Different Indices in Hardiwar District, India 🌞🌾
    • Authors: V Sharma, SK Ghosh
    • Citation: Proceedings of the 21st International Multidisciplinary Scientific …
    • Year: 2021
Generating Mustard Crop Maps Using PlanetScope High Resolution Dataset by Applying Machine Learning Algorithms 🌾🤖
    • Authors: V Sharma, SK Ghosh
    • Citation: Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV 12727, 14-22
    • Year: 2023

ZongXiang LI | space physics | Best Researcher Award

Mr. ZongXiang LI | space physics | Best Researcher Award

University of Chinese Academy of Sciences, China

Author Profile

👨‍💼 Summary

Mr. ZongXiang Li is a distinguished researcher at the University of Chinese Academy of Sciences in China, specializing in space physics and data analysis. His work focuses on innovative approaches to analyzing space physics data, with an emphasis on satellite data processing and space environment modeling. He is a recognized expert in data-driven research and its applications in space science.

🎓 Education

Mr. Li holds a Ph.D. in Space Physics from the University of Chinese Academy of Sciences, where he developed foundational knowledge in space weather dynamics and data analysis techniques. His academic journey has been centered around integrating data science into space physics research.

💼 Professional Experience

Mr. Li has worked as a researcher and professor at the University of Chinese Academy of Sciences, focusing on space weather, magnetosphere dynamics, and developing innovative data analysis techniques. He has collaborated with various international space agencies and played a significant role in space exploration and satellite mission research.

📚 Academic Citations

With a strong presence in the academic community, Mr. Li has authored numerous papers in high-impact journals, contributing to space physics and data analysis. His work is widely cited in the fields of space weather prediction and satellite data processing.

🖥️ Technical Skills

Mr. Li is highly skilled in data analysis tools such as MATLAB, Python, and R, with expertise in handling large datasets, space physics modeling, and machine learning applications. He is proficient in satellite data processing, statistical analysis, and advanced data visualization techniques.

👨‍🏫 Teaching Experience

Mr. Li has taught courses on space physics, data analysis, and satellite technology at the University of Chinese Academy of Sciences. He has also supervised graduate students, mentoring them in research areas related to space science and data-driven approaches.

🔬 Research Interests

His research interests include space weather prediction, space environment modeling, and the development of innovative data analysis algorithms. Mr. Li is particularly focused on studying the impact of space weather on Earth’s satellite systems and technological infrastructure.

 

📖 Top Noted Publications

Locating Strong Electromagnetic Pulses Recorded by a Single Satellite with Cluster Analysis and Worldwide Lightning Location Network Observations
    • Authors: Zongxiang Li, Baofeng Cao, Wenjuan Zhang, Xiaoqiang Li, Xiong Zhang, Yongli Wei, Xiao Li, Changjiao Duan, Peng Li
    • Journal: Remote Sensing
    • Year: 2024
Design of a High-Power Nanosecond Electromagnetic Pulse Radiation System for Verifying Spaceborne Detectors
    • Authors: Tianchi Zhang, Zongxiang Li, Changjiao Duan, Lihua Wang, Yongli Wei, Kejie Li, Xin Li, Baofeng Cao
    • Journal: Sensors
    • Year: 2024
Efficient Fourth-Order PSTD Algorithm with Moving Window for Long-Distance EMP Propagation
    • Authors: Yongli Wei, Baofeng Cao, Zongxiang Li, Tianchi Zhang, Changjiao Duan, Xiao Li, Xiaoqiang Li, Peng Li
    • Journal: Sensors
    • Year: 2024
Evolution of the Leader Discharge in Bi-Directional Propagation System in Altitude-Triggered Lightning
    • Authors: Xiao Li, Peng Li, Baofeng Cao, Xiaoqiang Li, Gaopeng Lu, Yunfen Chang, Xiong Zhang, Yongli Wei, Zongxiang Li, Yang Zhang, et al.
    • Journal: Earth and Space Science
    • Year: 2024
Dispersive Propagation of Nuclear Electromagnetic Pulse in the Ionosphere
    • Authors: Yongli Wei, Dinghan Zhu, Zongxiang Li, Lihua Wang, Yuan Wang, Tianchi Zhang, Bin Xing, Baofeng Cao, Peng Li
    • Journal: Frontiers in Astronomy and Space Sciences
    • Year: 2023