Vishal Sharma

Vishal Sharma is a dedicated academician and researcher specializing in Geospatial Data Science, Remote Sensing, Image Processing, SAR Image Processing, and Machine/Deep Learning. He is currently pursuing his Ph.D. at IIT Roorkee, where he focuses on crop yield prediction using machine learning algorithms. His expertise includes object-based image analysis, geospatial analytics, and cloud computing platforms like Google Earth Engine. With a strong foundation in algorithm design, GIS applications, and digital image processing, he has contributed significantly to the field through research publications and teaching experience. 

Vishal Sharma has extensive experience in academia and research, spanning over a decade. He worked as an Assistant Professor-II at DIT University, Dehradun (2013–2018), where he contributed significantly to teaching, research, and administrative responsibilities. Before joining DIT University, he was an Assistant Professor at IIMT, Meerut (2010–2011), where he played a key role in academic and administrative activities. Earlier in his career, he worked as a Lecturer at IIMT, Meerut (2009–2010), gaining valuable experience in teaching and curriculum development. Additionally, he has industry experience, having worked as a Technical Support Engineer at RT Outsourcing (Lenovo Process) (2008–2009), where he provided technical assistance for Lenovo products. His diverse experience in both academia and industry has equipped him with a strong foundation in teaching, research, and technical problem-solving. 

Vishal Sharma research interests encompass Geospatial Data Science, Remote Sensing, and Machine/Deep Learning, with a focus on image processing, SAR analysis, and crop yield prediction. He employs advanced machine learning techniques for climate impact assessment and geospatial analytics using platforms like Google Earth Engine. His work includes flood mapping, vegetation monitoring, and land use classification, alongside developing GIS-based models for environmental monitoring. Driven by innovation, he aims to optimize crop classification and enhance precision agriculture through AI. 

Vishal Sharma believes in a student-centered, research-driven, and technology-integrated teaching approach. He emphasizes practical learning by incorporating real-world applications, hands-on projects, and problem-solving techniques into his curriculum. His teaching philosophy revolves around conceptual clarity, critical thinking, and interdisciplinary learning, particularly in the fields of Geospatial Data Science, Remote Sensing, and Machine Learning. He encourages active learning through interactive discussions, case studies, and the use of modern tools like Google Earth Engine, GIS software, and programming languages to provide students with a strong analytical and technical foundation. Additionally, he values mentorship and collaboration, guiding students in research projects and fostering innovation in geospatial analytics and environmental monitoring. 

Vishal Sharma has taught a variety of courses during the SPAN of 8 years: 

• Remote Sensing & GIS (Taught to M.Tech. & Ph.D. students at IIT Roorkee) 
• Design & Analysis of Algorithms (DAA) 
• Data Structures (DS) 
• Database Management Systems (DBMS) 
• Computer Networks (CN) 
• Digital Image Processing (DIP) 
• Geographic Information Systems (GIS) Applications 
• Machine Learning for Geospatial Analysis 

vishal.sharma@ddn.upes.ac.in