venkata suresh  Bade | Renewable Energy | Best Researcher Award

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Dr  venkata suresh  Bade | Renewable Energy |  Best Researcher Award

Sr. Assistant Professor at  GMR Institute of Technology, India

Dr. Bade Venkata Suresh is a highly accomplished professional with a strong background in Mechanical Engineering, specializing in CAD/CAM. With a Ph.D. from Centurion University of Technology and Management and an M.Tech. in CAD/CAM from JNTU Kakinada, he has consistently demonstrated academic excellence throughout his education.

 

Publication Profile:🌟👨‍🎓

📚 Education:

  • Ph.D. (Centurion University of Technology and Management, Odisha, 2017-2020, 8.67 CGPA)
  • M.Tech. (JNTU Kakinada, CAD/CAM, 2011-2014, 82.1%)
  • B.Tech. (JNTU Kakinada, Mechanical Engineering, 2007-2011, 75.67%)

🏆 Awards:

  • Best Faculty Award for Hydraulic Machines (GMRIT – Rajam)
  • Best Faculty Award for Basic Elements of Machine Member (GMRIT – Rajam)

🎓 Experience:

Senior Assistant Professor at GMRIT-Rajam (Since 06/2014). Teaching Assistant at GMRIT-Rajam (11/2011 – 06/2014). Junior Engineer in Ship HUL Design (05/2011 – 11/2011)

👥 Professional Memberships:

All India Council for Technical Skill Development (AICTSD). Institute for Engineering Research and Publication (IFERP). International Association of Engineers (IAENG). South Asia Institute of Science and Engineering (SAISE)

👩‍🔬 Research Focus:

Dr. Bade Venkata Suresh is a distinguished researcher with a primary focus on innovative materials and processes in the realm of solar energy and manufacturing. His pioneering work includes investigating natural energy materials and storage systems for solar dryers, contributing to the state of the art in the field (Solar Energy Materials and Solar Cells, 2023). Additionally, he has delved into the effects of overlapping techniques on grain size distribution in friction-stir-processed aluminum alloys (Journal of Materials: Design and Applications, 2023). Dr. Suresh’s expertise extends to exploring the influence of nano boric acid in bio-diesel blends for enhanced surface quality (Advances in Materials Science and Engineering, 2022). His research, characterized by meticulous experimentation and analysis, significantly advances our understanding of sustainable energy solutions and advanced manufacturing processes. 🌞

Citations:

🔍 All Time:

  • Citations: 110
  • h-index: 7
  • i10-index: 3

🗓️ Since 2019:

  • Citations: 88
  • h-index: 5
  • i10-index: 3

Dr. Bade Venkata Suresh’s impactful research has garnered a total of 110 citations, reflecting the significant influence and recognition of his scholarly contributions. Since 2019, he has received 88 citations, demonstrating a sustained and growing impact in recent years. The h-index, a measure of both productivity and citation impact, stands at 7 for his overall body of work and 5 since 2019. The i10-index, representing the number of publications with at least 10 citations, is consistent at 3 for both periods. These metrics underscore Dr. Suresh’s notable contribution to the academic community. 📊👏

Publications Top Notes:

Mohadeseh Amiri | Climate Change | Best Researcher Award

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Dr Mohadeseh Amiri | Climate Change | Best Researcher Award

Researcher at  Isfahan University of Technology, 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:🌟👨‍🎓

🌱 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. 🌍🌿📡

 

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. 107–120
  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. 203–224
  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. 153–170

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. 📚🌍