Dr. Anubhava Srivastava | Ecosystem | Best Researcher Award

🎓 Education 

Dr. Srivastava holds a Ph.D. in Computer Science from Rajiv Gandhi Institute of Petroleum Technology (RGIPT), Jais, completed in 2023 with a CPI of 8.67. His doctoral thesis focused on LU/LC classification using AI/ML techniques and Google Earth Engine. He earned his M.Tech in Computer Science and Engineering from Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow, in 2015,  Prior to that, he completed his B.Tech in Computer Science in 2012 with 71.84%. His early education includes a Higher Secondary Certificate (57.60%) and a Secondary Certificate (71.32%) from GIC Sultanpur. His academic training spans critical subjects such as database systems, machine learning, artificial intelligence, and remote sensing algorithms. Dr. Srivastava’s educational background is a blend of foundational computer science and advanced AI-geoinformatics, equipping him to tackle complex, data-driven challenges in environmental science, spatial computing, and smart systems.

🏗 Experience 

Dr. Srivastava has over 9 years of academic experience. He currently serves as an Assistant Professor at Sharda University, Greater Noida (since May 2023), in the Department of Computer Science. Prior to that, he was with Noida Institute of Engineering and Technology (2022–2023) and Rajarshi Rananjay Sinh Institute of Management & Technology, Amethi (2015–2022). His responsibilities have included mentoring postgraduate and undergraduate students, supervising research projects, and teaching cutting-edge courses in AI, machine learning, remote sensing, and databases. Dr. Srivastava has also guided students in developing projects using Google Earth Engine, satellite data, and real-time geospatial analytics. His teaching philosophy emphasizes practical application, data literacy, and sustainability. His contributions extend beyond academics through research collaborations, IEEE conference participation, and involvement in AI-based solutions for socio-economic development and smart agriculture. His interdisciplinary experience bridges academia, technology, and field-based environmental intelligence.

🏆 Awards & Honors 

Dr. Srivastava has made significant strides in both academia and applied research. His design patents—on RFID-based animal tracking and irrigation water supply management—highlight his innovation in IoT for environmental and agricultural applications. He has earned repeated recognition through his publications in high-impact SCI and Scopus journals such as Science of the Total Environment and Applied System Innovation. With an H-index of 9 on Google Scholar and 8 on Scopus, his scholarly work on AI, remote sensing, and GIS is widely cited. He has qualified the prestigious GATE exam thrice (2013, 2016, 2017). Dr. Srivastava’s work has been presented in multiple IEEE and Springer conferences, showcasing his leadership in AI-powered geospatial research. He also contributed chapters to international volumes with Elsevier, CRC Press, and Springer. His recognition as a thought leader in environmental computation, digital literacy, and rural innovation places him among promising young researchers in India.

🔬 Research Focus

Dr. Anubhava Srivastava’s research lies at the intersection of Artificial Intelligence, remote sensing, environmental monitoring, and geospatial data analytics. His Ph.D. work involved LU/LC classification and environmental change detection using AI/ML techniques over Google Earth Engine. He focuses on developing intelligent systems that analyze temporal and spatial patterns of land, forest, and urban landscapes. His recent publications address critical challenges such as forest degradation, fire detection, and digital literacy through geoinformatics. His research integrates NDVI, vegetation indices, satellite image classification, and climate change modeling using Sentinel-2 and Landsat datasets. Beyond environmental domains, his contributions also include cybersecurity in P2P networks, real-time earthquake monitoring, and structural health analysis using 3D point clouds. Through interdisciplinary collaboration, he aims to support SDGs by designing AI-based frameworks that enable informed policymaking, sustainable agriculture, and urban resilience. His long-term goal is to expand geospatial intelligence applications through ethical and scalable AI innovations.

🛠 Skills