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

Indian Institute of Technology | India

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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