Jassi Sharma | Geoinformatics | Research Excellence Award

Ms. Jassi Sharma | Geoinformatics | Research Excellence Award

The National Remote Sensing Centre | India

Jassi Sharma is a geospatial science professional with strong expertise in geo-informatics, remote sensing, and machine learning applications for environmental and natural resource assessment. Academically trained in Geo-informatics and Information Technology, she has developed a solid foundation in spatial analysis, programming, and data-driven modeling. Her professional experience spans national research institutions, where she has contributed to large-scale watershed development, forest productivity, and agricultural resilience programs. She is proficient in advanced geospatial tools such as ArcGIS, QGIS, Google Earth Engine, MaxEnt, and R, with hands-on experience in land use–land cover analysis, time-series studies, species distribution modeling, climate impact assessment, and statistical analysis. Her research portfolio includes multiple peer-reviewed publications in reputed international journals, focusing on climate change, invasive species dynamics, flood mapping, vegetation–climate interactions, and ecosystem monitoring. Recognized for academic excellence, she has achieved top academic distinction at the postgraduate level and has been acknowledged for leadership and teaching-related contributions during her academic journey. Her research interests lie at the intersection of geospatial technologies, machine learning, climate change, biodiversity conservation, and sustainable resource management. With a balanced blend of research rigor, technical proficiency, and collaborative experience, she continues to contribute meaningfully to applied geospatial research aimed at supporting evidence-based environmental planning and policy development.

View Profile: Orcid

Featured Publications

Sharma, J., Solomon Raju, B. (2025). Spatio-temporal dynamics in Bhitarkanika mangroves amid climate change showcasing the resilience and vulnerability due to cyclonic events. Next Sustainability.

Garai, S., Mishra, Y., Malakar, A., Kumar, R., Singh, R., Sharma, J., & Tiwari, S. (2023). Buchanania cochinchinensis (Lour.) M.R. Almedia habitat exhibited robust adaptability to diverse socioeconomic scenarios in eastern India. Research Square. https://doi.org/10.21203/rs.3.rs-2863372/v1

Garai, S., Mishra, Y., Malakar, A., Kumar, R., Singh, R., Sharma, J., & Tiwari, S. (2023). Buchanania cochinchinensis (Lour.) M.R. Almedia habitat exhibited robust adaptability to diverse socioeconomic scenarios in eastern India. Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-023-11611-0

Garai, S., Khatun, M., Singh, R., Sharma, J., Pradhan, M., Ranjan, A., Rahaman, S. M., Khan, M. L., & Tiwari, S. (2022). Assessing correlation between rainfall, normalized difference vegetation index (NDVI) and land surface temperature (LST) in Eastern India. Safety in Extreme Environments, 4(2), 119–127. https://doi.org/10.1007/s42797-022-00056-2

Sharma, J., Singh, R., Garai, S., Rahaman, S. M., Khatun, M., Ranjan, A., Mishra, S. N., & Tiwari, S. (2022). Climate change and dispersion dynamics of the invasive plant species Chromolaena odorata and Lantana camara in parts of central and eastern India. Ecological Informatics, 72, 101824. https://doi.org/10.1016/j.ecoinf.2022.101824

Anubhava Srivastava | Engineering | Best Researcher Award

Dr. Anubhava Srivastava | Engineering | Best Researcher Award

Sharda University, India

Author Profile

SCOPUS

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. Anubhava Srivastava, embarked on his academic journey in Amethi, Uttar Pradesh, completing his Secondary and Higher Secondary education from GIC Sultanpur. He pursued B.Tech and M.Tech in Computer Science & Engineering from AKTU Lucknow, with his M.Tech thesis focusing on secure routing protocols in P2P networks. His scholarly progression culminated in a Ph.D. from RGIPT Jais, an Institute of National Importance, where he specialized in Artificial Intelligence (AI) and Remote Sensing technologies.

🏢 PROFESSIONAL ENDEAVORS

Dr. Srivastava currently serves as an Assistant Professor in the Department of Computer Science, School of Engineering and Technology, Sharda University, Greater Noida. His prior roles include academic appointments at Noida Institute of Engineering Technology and Rajarshi Rananjay Sinh Institute of Management Technology, Amethi. With nearly a decade of teaching and research experience, he has demonstrated deep expertise in areas like Machine Learning, Geo Informatics, and Google Earth Engine (GEE).

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN ENGINEERING

Dr. Srivastava’s Ph.D. thesis titled “Estimation of Change in LU/LC Mapping with Classification of Digital Signature using AI/ML Techniques over Google Earth Engine” reflects his interdisciplinary mastery. His research spans remote sensing, satellite image processing, forest degradation analysis, and environmental monitoring using AI/ML. He has actively explored the fusion of Earth Observation data with AI-driven models to tackle real-world environmental challenges.

He has authored 12 SCI/SCOPUS indexed journal articles, 14 international conference papers, and 4 Scopus-indexed book chapters, illustrating a sustained contribution to computational intelligence, environmental informatics, and secure networks.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

  • H-index: 9 (Google Scholar), 8 (Scopus)

  • Publications in high-impact journals such as Science of the Total Environment

  • Patent holder of two published design patents:

    • RFID-based Animal Tracking Strap

    • Irrigation Water Management System

He is also a multiple-time GATE qualifier and has completed over seven Coursera-certified advanced technology courses, reinforcing his commitment to lifelong learning.

🌍 IMPACT AND INFLUENCE

Dr. Srivastava’s research has impacted areas such as:

  • Sustainable forestry and climate monitoring

  • Urban noise pollution mapping using GIS

  • Precision agriculture with AI-enabled tools

  • Disaster monitoring via remote sensing platforms

His innovations like the Forest Cover Change Calculator (FCCC) and real-time environmental monitoring systems using GEE have influenced both academia and policy-driven environmental assessments.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Srivastava is poised to shape the next generation of AI-integrated environmental science. His emphasis on open-source platforms, especially Google Earth Engine, promotes scalable and accessible research tools. He aims to:

  • Develop AI-based real-time monitoring frameworks

  • Advocate for digital literacy in rural India

  • Expand applications of machine learning in environmental and agricultural sustainability

 ✅CONCLUSION

Dr. Anubhava Srivastava stands at the confluence of computer science, environmental engineering, and artificial intelligence, translating research into practical applications that address climate change, urban planning, and ecological preservation. His academic rigor, innovative spirit, and collaborative outlook mark him as a rising thought leader in intelligent Earth observation and digital transformation in environmental sustainability.

🔬NOTABLE PUBLICATION:

Review of Structural Health Monitoring Techniques in Pipeline and Wind Turbine Industries
Authors: V.B. Sharma, K. Singh, R. Gupta, A. Joshi, R. Dubey, V. Gupta, S. Bharadwaj, …
Journal: Applied System Innovation, Volume 4(3), Article 59
Year: 2021


Mapping Vegetation and Measuring the Performance of Machine Learning Algorithm in LULC Classification in the Large Area Using Sentinel-2 and Landsat-8 Datasets of Dehradun
Authors: A. Srivastava, S. Bharadwaj, R. Dubey, V.B. Sharma, S. Biswas
Journal: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Year: 2022


Exploring Forest Transformation by Analyzing Spatial-Temporal Attributes of Vegetation Using Vegetation Indices
Authors: A. Srivastava, S. Umrao, S. Biswas
Journal: International Journal of Advanced Computer Science and Applications (IJACSA), Volume 14(5)
Year: 2023


A Probabilistic Gossip-Based Secure Protocol for Unstructured P2P Networks
Authors: A. Srivastava, P. Ahmad
Journal: Procedia Computer Science, Volume 78, Pages 595–602
Year: 2016


Determination of Optimal Location for Setting Up Cell Phone Tower in City Environment Using LiDAR Data
Authors: S. Bharadwaj, R. Dubey, M.I. Zafar, A. Srivastava, V.B. Sharma, …
Journal: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Year: 2020