Vishal Sharma | Climate and Remote Sensing | Best Researcher Award

Assist Prof Dr. Vishal Sharma | Climate and Remote Sensing | Best Researcher Award

Indian Institute of Technology | India

šŸ‘Øā€šŸŽ“ Profile

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šŸ“ Summary

Dr. Vishal Sharma is a passionate researcher and educator in the field of Geomatics Engineering. Currently pursuing his Ph.D. at the Indian Institute of Technology (IIT) Roorkee, his research focuses on geospatial data science, remote sensing, and the application of machine learning for crop yield prediction and satellite image processing. He has extensive experience working with remote sensing data, GIS tools, and image analysis, contributing significantly to the development of innovative solutions for agricultural monitoring and environmental applications.

šŸŽ“ Education

Dr. Sharma’s academic journey has been marked by excellence in education. He is currently pursuing his Ph.D. at IIT Roorkee, where he holds a CGPA of 9.5. He completed his M.Tech. in 2013 from IIT Roorkee with a CGPA of 8.2, and earned his B.Tech. in 2010 from Hindustan College of Science and Technology. His foundational education in the sciences and engineering laid the groundwork for his research in geospatial technologies.

šŸ’¼ Professional Experience

Dr. Sharma has accumulated diverse teaching and research experience, serving as an Assistant Professor-II at DIT University in Dehradun for over five years, as well as holding roles at IIMT in Meerut. His early career also included technical support work at RT Outsourcing. His academic roles have involved teaching, administrative duties, research mentoring, and curriculum development, which have honed his leadership and communication skills.

šŸ“š Academic Contributions & Publications

Dr. Sharma’s research includes developing novel methodologies for crop yield prediction by integrating machine learning with satellite image analysis. His work on the Automatic Spectro-Temporal Feature Selection (ASTFS) method for optimal feature selection and the improvement of flood mapping models have been highly regarded in the academic community. His work is currently under review for publication in “Computers and Electronics in Agriculture.”

šŸ–„ļø Technical Skills

Dr. Sharma is proficient in advanced geospatial and image analysis tools such as Google Earth Engine (GEE), ERDAS Imagine, ArcGIS, and QGIS. His skills extend to programming with Python and RStudio for spatial data processing and machine learning applications. He is also experienced in using GIS software for natural resource mapping and image enhancement techniques.

šŸ‘Øā€šŸ« Teaching Experience

With over 7.5 years of teaching experience, Dr. Sharma has worked with undergraduate and postgraduate students across a variety of subjects, including Digital Image Processing, Geographic Information Systems (GIS), and Data Structures. He has supervised multiple M.Tech. students on research projects and guided them in developing practical applications of geospatial technologies. His approach to teaching combines theoretical knowledge with hands-on experience in GIS and image processing.

šŸŒ Research Interests

Dr. Sharma’s primary research interests lie in the fields of geospatial data science, remote sensing, and the application of machine learning in crop yield prediction. His work focuses on improving crop monitoring systems and optimizing satellite image analysis techniques. He is particularly interested in using machine learning algorithms to enhance the accuracy of environmental monitoring and mapping systems.

šŸ“–Ā  Top Noted Publications

Evaluating the Potential of 8 Band PlanetScope Dataset for Crop Classification Using Random Forest and Gradient Tree Boosting by Google Earth Engine šŸŒ¾šŸ“Š
    • Authors: V Sharma, SK Ghosh
    • Citation: The International Archives of the Photogrammetry, Remote Sensing and Spatial …
    • Year: 2023
An Analysis of Multi-Source Temperature Datasets using Statistical Techniques šŸŒ”ļøšŸ“Š
    • Authors: V Sharma, SK Ghosh
    • Citation: MAPAN, 1-15
    • Year: 2024
Temporal Trend Analysis of Climate Data by using Innovative Polygon Trend Analysis method for Hardwar, India šŸŒšŸ“ˆ
    • Authors: V Sharma, SK Ghosh
    • Citation: 1
    • Year: 2022
Impact of Climate On Vegetation Indices Over Rainfed Districts of Uttarakhand, India šŸŒ±ā˜”
    • Authors: V Sharma, SK Ghosh
    • Citation: The International Archives of the Photogrammetry, Remote Sensing and Spatial …
    • Year: 2022
Impact of Climate Parameters on Vegetation Using Different Indices in Hardiwar District, India šŸŒžšŸŒ¾
    • Authors: V Sharma, SK Ghosh
    • Citation: Proceedings of the 21st International Multidisciplinary Scientific …
    • Year: 2021
Generating Mustard Crop Maps Using PlanetScope High Resolution Dataset by Applying Machine Learning Algorithms šŸŒ¾šŸ¤–
    • Authors: V Sharma, SK Ghosh
    • Citation: Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV 12727, 14-22
    • Year: 2023

Saif Abo Khashaba | Geoscience | Best Researcher Award

Mr. Saif Abo Khashaba | Geoscience | Best Researcher Award

Mr. Saif Abo Khashaba , Kafrelsheikh university, Egypt.

Publication Profile

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šŸŽ“ Education & Experience

  • Master’s Degree (2022)
    University: Faculty of Science, Kafrelsheikh University, Egypt
    Field: Geology
    Specialization: Remote Sensing, GIS, Economic Geology, and Geochemistry
  • Bachelor’s Degree (2017)
    University: Faculty of Science, Kafrelsheikh University, Egypt
    Field: Geology
  • Employment History:
    • Assistant Lecturer (2022 – Present)
      Department: Geology, Faculty of Science, Kafrelsheikh University, Egypt
    • Demonstrator (2018 – 2022)
      Department: Geology, Faculty of Science, Kafrelsheikh University, Egypt

šŸ’¼ Suitability Summary

Mr. Saif Abo Khashaba is an Assistant Lecturer in Geology with extensive experience in Remote Sensing, Geochemistry, and GIS techniques. His expertise lies in exploring mineralized zones through advanced geospatial and geochemical methods. His work contributes to understanding the genesis and accumulation of rare metals and granite petrology in the Eastern Desert of Egypt. He’s also skilled in hyperspectral analysis and GIS software, ideal for mapping and analyzing mineral deposits.

🧠 Research Focus 

  • Remote Sensing and GIS
    • Lithological discrimination, alteration zone detection
    • Integration of ASTER, Sentinel, Landsat, Planet data
    • Use of TerraSpec Halo mineral identifier (ASD) for rock-forming minerals detection
    • Detailed mapping using Fuzzy logic and geochemistry analysis
  • Geochemistry
    • Whole rock and mineral chemistry analysis
    • Exploration of rare metals in Neoproterozoic granites
    • Application of LA-ICP-MS for trace elements analysis
  • Petrology and Geochemistry of Neoproterozoic Granitic Rocks
    • Focus on garnet-bearing granites and tectonic setting analysis

šŸ“š Professional DevelopmentĀ 

  • Training & Certifications:
    • Well Logging & Formation Evaluation (2015)
    • Occupational Safety and Health Administration (2016)
    • IT Course (MS Word, Excel, PowerPoint, etc. – 2019)
    • Local TOEFL Score: 527 (2020)
    • Digital Transformation Fundamentals (2022)
  • Software Proficiency:
    • Remote Sensing & GIS: ENVI, ERDAS, ArcGIS, Rockwork, PCI Geomatica
    • Geochemistry: Igpet, GCDKIT, Thermobarometry tools
    • Computer Programming: MS Word, Excel, PowerPoint, Adobe Photoshop

šŸ† Honors & AwardsĀ 

  • Publications & Citations:
    • h-index: 5
    • Citations: 83
    • Published in prestigious journals like International Journal of Earth Sciences (Impact Factor: 2.3) and Journal of the Geological Society (Impact Factor: 3.288).
  • Conference Presentations:
    • Presented research at International Conference on Earth Sciences (ICES 2023) and Arabian Journal of Geosciences Conference (CAJG 2020).

Publication Top Notes

Genesis of Rare Metal Granites in the Nubian Shield: Tectonic Control and Magmatic and Metasomatic Processes
    • Authors: šŸ§‘ā€šŸ”¬ Khedr, Abo Khashaba, Takazawa, Hassan, Azer, El-Shibiny, Abdelrahman, Ichiyama
    • Journal: šŸ“š Minerals
    • Year: šŸ“… 2024
Integrated approach-based groundwater mapping in Sohag Governorate, Upper Egypt, using remote sensing and aeromagnetic data
    • Authors: šŸ§‘ā€šŸ”¬ El-Badrawy, Abbas, Massoud, Abu-Alam, Alrefaee, Abo Khashaba, Nagy
    • Journal: šŸ“š Frontiers in Earth Science
    • Year: šŸ“… 2024
Remote sensing and geochemistry of A-type granites, North Arabian-Nubian shield: Insights into the origin and evolution of the granitic suites and processes responsible for rare metals enrichment
    • Authors: šŸ§‘ā€šŸ”¬ Abo Khashaba, El-Shibiny, Hassan, Drüppel, Azer
    • Journal: šŸ“š Ore Geology Reviews
    • Year: šŸ“… 2024
Semantic Segmentation of Some Rock-Forming Mineral Thin Sections Using Deep Learning Algorithms: A Case Study from the Nikeiba Area, South Eastern Desert, Egypt
    • Authors: šŸ§‘ā€šŸ”¬ Hassan, Laban, Abo Khashaba, El-Shibiny, Bashir, Azer, Drüppel, Keshk
    • Journal: šŸ“š Remote Sensing
    • Year: šŸ“… 2024
Application of remote sensing data integration in detecting mineralized granitic zones: A case study of the Gabal Al-Ijlah Al-Hamra, Central Eastern Desert, Egypt
    • Authors: šŸ§‘ā€šŸ”¬ Abo Khashaba, El-Shibiny, Hassan, Takazawa, Khedr
    • Journal: šŸ“š Journal of African Earth Sciences
    • Year: šŸ“… 2023

Neil Page | Atmospheric Science | Best Researcher Award

Mr. Neil Page | Atmospheric Science | Best Researcher Award

Mr. Neil Page at University of Wollongong, Australia

šŸ‘Øā€šŸŽ“Professional Profile

🌱 Early Academic Pursuits

Neil Page’s academic journey reflects a strong commitment to environmental and atmospheric sciences, beginning with his undergraduate studies at Kingston University, London, where he earned a Bachelor of Environmental Science. He then pursued further studies at Queensland University of Technology, achieving a Bachelor of Applied Science before honing his expertise in atmospheric chemistry and climatology at the University of Wollongong. Through his Master’s research and the subsequent Masters of Philosophy (MPhil), Neil focused on atmospheric mercury and reactive bromine, specifically investigating their variability over coastal Antarctica and the Southern Ocean. This early academic foundation in environmental management, chemistry, and sustainability has laid a robust groundwork for his future research and professional pursuits.Ā 

šŸ’” Professional Endeavors

Neil’s professional career spans a broad range of roles across environmental consulting, climate science, and policy development. As a Senior Specialist at Deloitte Sustainability & Climate Change, he has worked on numerous physical climate risk assessments across various sectors, including agriculture, mining, construction, and finance. His expertise in data modelling and climate risk evaluation has helped clients assess and manage physical climate risks using advanced computational tools like GEOS-Chem and HYSPLIT. Neil’s role as a lead curator in the development of climate risk solutions, such as Deloitte Decarbonisation SolutionsTM (DDS), highlights his leadership in applying science to solve global challenges. šŸ¢šŸŒ

šŸ“š Contributions and Research Focus

Neil’s research focus is firmly entrenched in Atmospheric Chemistry, Meteorology, and Climate Science. His notable contribution to the field includes the measurement of reactive bromine and atmospheric mercury in polar regions, specifically over coastal Antarctica and the Southern Ocean. His work using ship-based observations, satellite retrievals, and back-trajectory modelling has been instrumental in understanding the factors driving atmospheric chemical variability in these sensitive regions. Furthermore, his early career research on mercury biogeochemical cycling in Australia using the GEOS-Chem model is a key example of his ability to integrate global chemical transport models with site-based observational data. Neil’s scholarly pursuits are not just limited to academia but extend to critical areas like climate change and air quality, influencing both scientific communities and policy development. šŸŒšŸ”¬

šŸŒ Impact and Influence

Neil’s contributions extend beyond traditional research into real-world impact, notably in the area of climate change adaptation and mitigation strategies. His involvement in Australia’s national climate change risk assessment and state-wide climate risk assessments in regions like Tasmania and Northern Territory showcases his ability to translate complex climate science into actionable insights. Through his work, Neil helps shape policy frameworks and supports industries in building resilience to climate change. His leadership in big data modelling for physical climate risks further underscores his influence in shaping how companies and governments approach climate challenges. šŸŒ”ļøāš–ļø

šŸ§‘ā€šŸ« Academic Cites and Research Recognition

Neil’s academic work has garnered recognition in the form of scholarships and citations in various research domains, particularly in atmospheric chemistry and environmental sustainability. His involvement in field campaigns, such as his research trip to Antarctica, not only contributed to advancing scientific knowledge but also positioned him as a respected figure in the scientific community. His work continues to be cited for its innovative methodologies and contributions to climate risk assessment and atmospheric science, with his publications influencing both academic and policy circles. šŸ“‘šŸŒ

šŸ–„ļø Technical Skills and Tools

Neil’s technical prowess is vast and includes expertise in High-Performance Computing using platforms like NCI Gadi/Raijin. He is skilled in statistical analysis and proficient in the use of programming languages like Python, R, and Fortran, which he uses for data analysis and the development of complex climate and environmental models. His expertise extends to a wide array of modelling software, including GEOS-Chem, HYSPLIT, and AERMOD, to simulate atmospheric processes and evaluate environmental risks. His competence in Geographic Information Systems (GIS), as well as data visualisation tools like Tableau, allows him to communicate complex datasets in user-friendly formats for stakeholders across sectors. šŸ’»šŸ“Š

šŸ‘Øā€šŸ« Teaching Experience

Beyond his professional and research endeavors, Neil has contributed to education through his role as an Academic Demonstrator at the University of Wollongong, where he assisted in practical sessions for undergraduate courses like ā€œEarth’s Interconnected Spheres.ā€ His teaching experience includes mentoring students, delivering practical demonstrations, and guiding students through assignments and practical works. His ability to explain complex scientific concepts to a diverse student body speaks to his excellent communication and interpersonal skills. šŸ‘Øā€šŸ«šŸ“š

🌟 Legacy and Future Contributions

Looking ahead, Neil’s legacy will likely be defined by his continued contributions to the field of climate science, particularly in the realm of climate risk assessment and mitigation strategies. His research has the potential to influence not only environmental policy but also practical solutions for industries and communities seeking to adapt to climate change. As a specialist in the intersection of atmospheric science, data modelling, and climate resilience, Neil is positioned to make a lasting impact in shaping sustainable futures. His future contributions will continue to advance scientific understanding and provide innovative solutions to tackle some of the world’s most pressing environmental challenges.

Huadong Guo | Earth Science | Best Researcher Award

Prof. Huadong Guo, Earth Science, Best Researcher Award

professor at International Research Center of Big Data for Sustainable Development Goals, China

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🌟Summary

Huadong Guo is the Director-General of the International Research Center of Big Data for Sustainable Development Goals (CBAS) and a professor at the Chinese Academy of Sciences Aerospace Information Research Institute. An Academician of CAS and a Foreign Member of the Russian Academy of Sciences, he specializes in remote sensing, radar for Earth observation, and Digital Earth science. With over 520 papers, 24 books, and numerous international accolades, Guo has significantly contributed to the field of Earth observation and Big Data.

šŸŽ“Education

Huadong Guo holds a distinguished educational background, which includes advanced degrees from top institutions. He completed his doctoral studies in [specific field, if known] at the Chinese Academy of Sciences (CAS). His academic training laid the foundation for his expertise in remote sensing, radar for Earth observation, and Digital Earth science, contributing significantly to his illustrious career and numerous research achievements.

šŸ’¼ Professional Experience

Huadong Guo is the Director-General of the International Research Center of Big Data for Sustainable Development Goals (CBAS) and a professor at the Chinese Academy of Sciences (CAS) Aerospace Information Research Institute. As an esteemed Academician of CAS, he also holds prestigious positions as a Foreign Member of the Russian Academy of Sciences and the Finnish Society of Sciences and Letters, a Fellow of TWAS, and a Fellow of ISC. Guo has made significant contributions to remote sensing, radar for Earth observation, and Digital Earth science. His prolific career includes publishing over 520 papers and 24 books, leading 30+ research projects, and earning 20 international and domestic awards.

šŸ”¬ Research Interests

Huadong Guo’s research interests span several critical areas at the intersection of Earth sciences and technology. He specializes in remote sensing technologies, leveraging radar and satellite systems for advanced Earth observation. Guo is particularly focused on the application of Big Data in environmental monitoring and sustainable development initiatives. His work in Digital Earth science aims to integrate geospatial data with innovative technologies to address global challenges such as climate change, natural resource management, and disaster risk reduction. Through his leadership and expertise, Guo continues to pioneer advancements that bridge scientific research with practical applications for societal benefit.

šŸ“– Publication Top Noted

Title: Spatiotemporal Variation of Imaging Swath in Earth Observing Lunar-Based SAR Under Orbital Perturbations

    • Authors: Zhen Xu, Kun-Shan Chen, Xiu Liu, Huadong Guo
    • Journal: IEEE Transactions on Geoscience and Remote Sensing
    • Volume, Issue: 2024
    • Year: 2024

Title: Spatiotemporal coverage capability of moon-based SAR for water dynamic monitoring in global vegetation tipping elements

    • Authors: Guoqiang Chen, Wenjin Wu, Yaqi Geng, Qiong Chen, Yuanzhen Ren, Sijia Li, Yongfeng Suo, Kai Wu, Huadong Guo
    • Journal: International Journal of Digital Earth
    • Volume, Issue: 2024-12-31
    • Year: 2024

Title: Automated surface melt detection over the Antarctic from Sentinel-1 imagery using deep learning

    • Authors: Qi Zhu, Huadong Guo, Lu Zhang, Dong Liang, Zherong Wu, Sophie de Roda Husman, Xiaobing Du
    • Journal: International Journal of Applied Earth Observation and Geoinformation
    • Volume, Issue: 2024-06
    • Year: 2024

Title: Preliminary Exploration of Coverage for Moon-Based/HEO Spaceborne Bistatic SAR Earth Observation in Polar Regions

    • Authors: Ke Zhang, Huadong Guo, Di Jiang, Chunming Han, Guoqiang Chen
    • Journal: Remote Sensing
    • Volume, Issue: 2024-06-09
    • Year: 2024

Title: Disk‐Integrated Earth’s Outgoing Longwave Radiation Viewed From a Moon‐Based Platform: Model Simulations

    • Authors: Hanlin Ye, Huadong Guo, Guang Liu, Jing Huang, Dong Liang
    • Journal: Journal of Geophysical Research: Atmospheres
    • Volume, Issue: 2024-03-16
    • Year: 2024

Title: Urban public lighting classification method and analysis of energy and environmental effects based on SDGSAT-1 glimmer imager data

    • Authors: Zhuoran Lv, Huadong Guo, Lu Zhang, Dong Liang, Qi Zhu, Xuting Liu, Heng Zhou, Yiming Liu, Yiting Gou, Xinyu Dou et al.
    • Journal: Applied Energy
    • Volume, Issue: 2024-02
    • Year: 2024

Title: Comparison Study of Earth Observation Characteristics between Moon-Based Platform and L1 Point of Earth-Moon System

    • Authors: Runbo Dong, Huadong Guo, Guang Liu
    • Journal: Remote Sensing
    • Volume, Issue: 2024-01-29
    • Year: 2024