Ms. Aastha Sharma | Geography and Geospatial sciences | Best Researcher Award
Research Scholar Jamia Millia Islamia, New Delhi India
Aastha Sharma is a dedicated research scholar specializing in climate change, landslide hazards, disaster vulnerability, risk assessment, and GIS/Remote Sensing. She is currently pursuing her Ph.D. at Jamia Millia Islamia University. Aastha has an impressive academic background with multiple degrees and diplomas, showcasing her commitment to her field. She has been recognized with numerous awards for her academic excellence and research contributions. Her work is widely published, and she actively presents her findings at national and international conferences.
Profile
Education π
Aastha Sharma has an extensive educational background. She is currently pursuing a Ph.D. in Geography at Jamia Millia Islamia University, having completed her coursework with a commendable 79.75%. She holds a Post Graduate Diploma in Disaster Management from IGNOU, India (73%, 2023) and a Post Graduate Diploma in Remote Sensing/GIS from Jamia Millia Islamia University (86.1%, 2021). Her academic journey also includes an M.Sc. in Geography from St. Bedes College, Himachal Pradesh University (80.5%, 2018-2020) and a B.A. Hons. in Geography from Shaheed Bhagat Singh College, University of Delhi (72.4%, 2015-2018).
Experience π
Aastha Sharma has garnered extensive experience through her academic and research endeavors. As a research scholar at Jamia Millia Islamia University, she has delved deeply into the impacts of climate change, landslide hazards, and disaster risk assessment. Her participation in various national and international conferences has further enriched her expertise and provided platforms to share her findings. Additionally, she has attended numerous training programs and workshops, enhancing her skills in GIS, remote sensing, and disaster management.
Research Interest π¬
Aastha Sharma’s research interests are focused on climate change, landslide hazard assessment, disaster vulnerability, and risk assessment, with a strong emphasis on GIS and remote sensing technologies. Her work aims to understand and mitigate the impacts of environmental hazards, contributing to more resilient and sustainable communities.
Awards π
Aastha Sharma has received several prestigious awards, including:
- Qualified University Grant Commission National Eligibility Test for December 2021 and June 2022 in Geography.
- Funding from the Indian Council of Social Science Research for her doctoral research (2023-24).
- Best paper award at the International Geographical Union Thematic Conference (2022).
- First Merit in Post Graduate Diploma in Remote Sensing and GIS from Jamia Millia Islamia University.
- Second Merit in M.Sc. Geography from Himachal Pradesh University.
- Scholarship for highest aggregate marks in B.A. (Hons) Geography semester V.
Publications Top Notes π
- Sharma, A., Sajjad, H., Roshani, Rahaman, M.H. (2023). A systematic review for assessing the impact of climate change on landslides: research gaps and directions for future research. Spatial Information Research, Springer. DOI
- Sharma, A., Sajjad, H., Rahaman, M.H., Saha, T.K., Bhuyan, N. (2024). Effectiveness of hybrid ensemble machine learning models for landslide susceptibility analysis: Evidence from Shimla district of North-west Indian Himalayan region. Journal of Mountain Science, Springer, Vol 21. DOI
- Sharma, A., Sajjad, H., Bhuyan, N., Rahaman, M.H., Ali, R. (2024). Climate change-induced landslide vulnerability: Empirical evidence from Shimla district, Himachal Pradesh, India. International Journal of Disaster Risk Reduction, Elsevier, Vol 110. DOI
- Rahaman, M.H., Sajjad, H., Hussain, S., Roshani, Masroor, M., Sharma, A. (2024). Surface water quality prediction in the lower Thoubal river watershed, India: A hyper-tuned machine learning approach and DNN-based sensitivity analysis. Journal of Environmental Chemical Engineering, Elsevier. DOI
- Roshani, Sajjad, H., Rahaman, M.H., Masroor, M., Sharma, Y., Sharma, A., Saha, T.K. (2024). Vulnerability assessment of forest ecosystem based on exposure, sensitivity and adaptive capacity in the Valmiki Tiger Reserve, India: A geospatial analysis. Ecological Indicators, Elsevier. DOI