Viwe Notole | Augmented Analytics | Best Researcher Award

Mr. Viwe Notole | Augmented Analytics | Best Researcher Award

University of the Witwatersrand | South Africa

Mr. Viwe Notole is an emerging geoscientist and data analyst whose academic and professional journey reflects a strong dedication to Earth sciences, mining, and geometallurgy. With a foundation built through advanced studies at the University of Fort Hare, University of Johannesburg, and the University of the Witwatersrand, he has developed expertise across geology, mineralogy, geostatistics, and machine learning applications in geosciences. His career aspiration is to contribute meaningfully to the mining and geoscience sectors through innovative research, data-driven approaches, and applied geological solutions that support both industry development and sustainable resource management.

Professional Profile

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Education

Mr. Notole has pursued a comprehensive academic trajectory in geology and mineral sciences. He began his studies with a Bachelor of Science degree in Geology and Chemistry at the University of Fort Hare, where he built the scientific foundation for his career. Advancing further, he completed a B.Sc. Honours in Geology at the University of Johannesburg, refining his technical and analytical skills in applied geosciences. His passion for mineralogy and mining processes led him to the University of the Witwatersrand, where he obtained a Master of Science in Economic Geology with research focused on the mineralogy and processing characteristics of the Elsburg Reefs in the South Deep Gold Mine of South Africa. Currently, he is a doctoral candidate in the field of Geometallurgy at the University of the Witwatersrand, where his research integrates advanced mineral characterization, geostatistics, and metallurgical evaluation to optimize mineral recovery and processing techniques.

Experience

Mr. Notole’s professional experience reflects a blend of field geology, laboratory-based mineral analysis, and applied data analytics. At Umvoto Africa in Cape Town, he worked as a Junior Geologist where he contributed to geological and hydrogeological projects through data acquisition, processing, and interpretation. His responsibilities included supervising borehole drilling and test pumping, conducting geotechnical site investigations, supporting GIS-related tasks, and performing data analysis and visualization for project outcomes. He later joined Mintek, a leading mineral research organization in Randburg, as a Mineralogist Intern. There, he honed his technical skills in mineral characterization using advanced techniques such as X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM), and QEMSCAN technology. These roles equipped him with a strong interdisciplinary skillset that spans mineral exploration, hydrogeology, mineral processing, and data science applications in the mining industry.

Research Interest

His research interests are primarily centered on economic geology, geometallurgy, and the integration of data analytics into mineral processing. Mr. Notole focuses on investigating the mineralogical and processing characteristics of gold-bearing reefs, with the aim of improving mineral recovery processes. His interests extend to diagnostic leaching, mineral characterization techniques, geostatistical modeling, and the application of machine learning to predict metallurgical performance. By combining traditional geological expertise with modern computational methods, he aims to bridge the gap between field-based geological sciences and advanced data-driven resource optimization. He is particularly passionate about exploring environmentally friendly processing alternatives, such as glycine-based leaching, to support sustainable mining practices.

Awards and Achievements

Among his academic accomplishments, Mr. Notole was formally admitted to the degree of Master of Science in Economic Geology by the University of the Witwatersrand, marking a significant milestone in his scholarly journey. His upcoming publications reflect his commitment to advancing research in geometallurgy, with studies exploring predictive data analytics for gold recovery and innovative leaching techniques using glycine and potassium permanganate. These contributions highlight his role as a young researcher actively pushing the boundaries of mineral processing technologies and sustainable mining practices.

Publication

(2025). “Investigating mineral composition of PGE low-grade ore in Bushveld Igneous Complex, South Africa” in Minerals Engineering.

Conclusion

Mr. Viwe Notole exemplifies the new generation of geoscientists who combine deep geological knowledge with data-driven approaches to solve contemporary challenges in mining and resource management. His academic background, professional experience, and active research contributions position him as a promising figure in the fields of geometallurgy, mineral processing, and applied geosciences. Driven by innovation, sustainability, and the pursuit of scientific excellence, he continues to advance his career with the vision of making a lasting impact on the mining industry and the broader geoscientific community.

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.

🎓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.

💼 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.

🔬 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.

📖 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