Komal Choudhary | Sustainable Agriculture | Best Researcher Award

Dr Komal Choudhary | Sustainable Agriculture | Best Researcher Award

Postdoctoral Fellow at  Department of Agroecology, Aarhus University, Denmark.

Dr. Komal Kumari Choudhary is a distinguished professional with a dual role as a Postdoctoral Fellow at the Department of Agroecology, Aarhus University, Denmark, and an Associate Professor at the Scientific Research Laboratory of Geo-informatics, Samara National Research University, Russia. She holds a Ph.D. from The Hong Kong Polytechnic University, with a dissertation on “Quantitative Remote Sensing for Agricultural Monitoring.”

 

Publication Profile:🌟👨‍🎓

📚 Education:

  • Postdoc. in Agroecology, Aarhus University, Denmark (2023 – Present)
  • Ph.D. in Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong (2018 – 2022)
  • B.Ed. in Geography, University of Rajasthan, India (2006 – 2007)
  • M.A. in Geography, University of Rajasthan, India (2003 – 2005)
  • B.A. in Geography, University of Rajasthan, India (2000 – 2003)

🚀 Professional Experience:

Postdoctoral Fellow at Aarhus University, Denmark (11/2023 – Present). Associate Professor at Samara National Research University, Russia (09/2021 – Present). Ph.D. Researcher at The Hong Kong Polytechnic University (09/2018 – 08/2021). Jr. Scientist at Samara State Aerospace University, Russia (09/2015 – 08/2018). Lecturer in India with six years of teaching and research experience (07/2007 – 07/2013)

🏆 Achievements & Awards:

Aarhus University Postdoctoral Fellowship recipient (11/2023 – 10/2026). Best paper awards at ITNT Russia (2023, 2022) and ICIKM Hong Kong (2022), Hong Kong Polytechnic University Ph.D. studentship recipient (09/2018 – 08/2021). Received research fellowships in Czech Republic and Russia

Research Focus 📝:

🌾 Dr. Komal Kumari Choudhary specializes in the dynamic field of Agricultural Remote Sensing and GIS Technology. 🛰️ Her research focus revolves around spatiotemporal variations in Gross Primary Productivity (GPP) for cropland, employing innovative machine learning approaches. 🌱 With an emphasis on sustainable food production, she models farmland GPP and assesses agricultural land suitability using remote sensing techniques. 🌍 Dr. Choudhary’s contributions extend to integrating landscape ecological risk with ecosystem services, evaluating land sustainability, and predicting wheat yields through advanced machine learning methodologies. 🏆 Her work spans international conferences, journals, and collaborations, showcasing a holistic commitment to advancing agricultural and environmental sciences.

Citations:
  • Citations: 1140 (Since 2019), 814 (Overall)
  • h-index: 16 (Since 2019), 13 (Overall)
  • i10-index: 30 (Since 2019), 17 (Overall)