Mohadesehย Amiri | Climate Change | Best Researcher Award

Drย Mohadesehย Amiri |ย Climate Change |ย Best Researcher Award

Researcher atย ย Isfahan University of Technology,ย Iran

Dr. Mohadeseh Amiri holds a Ph.D. in Rangeland Sciences and is affiliated with Isfahan University of Technology (IUT). Her expertise lies in the field of Rangeland Sciences, showcasing a dedication to advancing knowledge in this domain.

 

Publication Profile:๐ŸŒŸ๐Ÿ‘จโ€๐ŸŽ“

๐ŸŒฑ Research Focus:

Mohadeseh Amiri’s research primarily revolves around environmental ecology and remote sensing applications. Her work encompasses a diverse range of topics, including the use of natural fluorophores in chemiluminescence reactions, fuzzy classification for mapping invasive species, spatiotemporal variability of soil moisture in arid vegetation communities, and modeling the biological invasion of Prosopis juliflora under climate change. Additionally, she explores habitat degradation of Ursus arctos using species distribution modeling and remote sensing, as well as predicting desert dust sources through machine learning-driven scenario-based models. Her multifaceted research contributes to a deeper understanding of ecological dynamics and environmental challenges. ๐ŸŒ๐ŸŒฟ๐Ÿ“ก

 

Citations:
  • Citations: 55 citations received by the researcher across 54 documents.
  • Documents: The researcher has authored 9 documents.
  • h-index: The h-index is a metric that reflects both the productivity and impact of a researcher’s work. In this case, the h-index is 4.

The h-index suggests that there are 4 documents that have each been cited at least 4 times. These metrics are commonly used to assess the impact and influence of a researcher’s work in the academic community.

Publications Top Notes:

  1. “Machine learning-driven scenario-based models for predicting desert dust sources in central playas of Iran”
    • Authors: Jafari, R.; Amiri, M.; Jebali, A.
    • Journal: Catena, 2024, 234, 107618
  2. “Comparison of Regression and Machine Learning Techniques in Determination of Geographical Range of Onobrychis cornuta L. Under Environmental Characteristics and Climate Change Using the IPSL-CM6A-LR Model”
    • Authors: Jafarian, Z.; Amiri, M.
    • Journal: Journal of Environmental Studies, 2023, 49(1), pp. 107โ€“120
  3. “Dust source susceptibility mapping based on remote sensing and machine learning techniques”
    • Authors: Jafari, R.; Amiri, M.; Asgari, F.; Tarkesh, M.
    • Journal: Ecological Informatics, 2022, 72, 101872
  4. “Modelling the biological invasion of Prosopis juliflora using geostatistical-based bioclimatic variables under climate change in arid zones of southwestern Iran”
    • Authors: Amiri, M.; Tarkesh, M.; Shafiezadeh, M.
    • Journal: Journal of Arid Land, 2022, 14(2), pp. 203โ€“224
  5. “THE EFFECT OF ENVIRONMENTAL AND HUMAN FACTORS ON THE DISTRIBUTION OF BROWN BEAR (URSUS ARCTOS ISABELLINUS) IN IRAN”
    • Authors: Hosseini, S.P.; Amiri, M.; Senn, J.
    • Journal: Applied Ecology and Environmental Research, 2022, 20(1), pp. 153โ€“170

These articles cover a diverse range of topics, including machine learning applications, ecological modeling, dust source mapping, and the impact of environmental factors on species distribution. ๐Ÿ“š๐ŸŒ

 

Tiyashaย Tiyasha | Climate Changeย | Women Researcher Award

Drย Tiyashaย Tiyasha:ย Climate Change
Assistant Professor atย ย Dev Bhoomi Uttarakh and University,ย India

Tiyasha is an accomplished assistant professor in the Department of Civil Engineering at Dev Bhoomi Uttarakhand University, Dehradun, India. She recently completed her Ph.D. in water quality modeling using artificial intelligence tools from Ton Duc Thang University, Ho Chi Minh City, Vietnam. Tiyasha has a strong background in environmental engineering, with a Master’s from Rajasthan Technical University and a Bachelor’s from Vinayaka Missions University in India. With over 6 years of teaching experience, Tiyasha has published extensively in international journals and demonstrated her commitment to research. She has a B1 level proficiency in Vietnamese and has contributed significantly to the field of civil engineering.

Publication Profile:๐ŸŒŸ๐Ÿ‘จโ€๐ŸŽ“
๐Ÿ‘จโ€๐ŸŽ“ Education:

๐ŸŽ“ Ph.D. (2019-2023) Ton Duc Thang University, Ho Chi Minh City, Vietnam: GPA: 8.81 ๐Ÿ”ฌ Master of Technology (2011-2013) in Environmental Engineering, Rajasthan Technical University, INDIA ๐Ÿ› ๏ธ Bachelor of Engineering (2007-2011), Vinayaka Missions University, INDIA ๐ŸŽ“ 12th (2006), Kendriya Vidayalaya, Muzaffarpur, CBSE: 74% ๐Ÿซ 10th (2004), Kendriya Vidayalaya, Muzaffarpur, CBSE: 74%

๐Ÿ‘จโ€๐Ÿซ Teaching Experience:

๐Ÿ‘ฉโ€๐Ÿซ Currently: Assistant Professor/Research Publication Head at Dev Bhoomi Uttarakhand University, Dehradun, India ๐ŸŒ Previously: Lecturer/Project Manager at IOT Ambo University, Ethiopia ๐ŸŒ ๐Ÿ“ฐ Editor-in-chief of Institute of Technology Newsletter, Ethiopia ๐Ÿ“ฐ ๐Ÿ”ง Served as DAC, Tutor, Placement Coordinator, and Project Guide at Poornima Group of Institution, Jaipur, India ๐Ÿ’ผ Product Training Manager at Olestra Life Sciences, Jaipur (Nov 2011-June 2012)

๐Ÿ‡ Research Focus:

๐Ÿ” Tiyasha’s research spans a diverse range, showcasing a multifaceted expertise. Her focus areas include numerical analysis of foundation systems, seasonal analysis of river systems, machine learning applications in wastewater treatment, and the integration of AI for environmental assessments. She delves into groundwater prediction, urban expansion mapping, and coastal sediment lead prediction. Tiyasha explores the dynamics of water choices through market basket analysis and employs deep learning for water quality index classification. Her work also involves simulating surface water dissolved oxygen using hybrid tree-based AI models. ๐ŸŒŠ๐Ÿ“Š๐Ÿค– With a keen eye on both theoretical and applied aspects, Tiyasha contributes significantly to the interdisciplinary field of environmental engineering.

 

Publications Top Notes:๐ŸŒ๐Ÿ”ฌ