Fan Xiao | Data Processing | Research Excellence Award

Assoc. Prof. Dr. Fan Xiao | Data Processing | Research Excellence Award

Sun Yat-sen University | China

Xiao Fan is an Associate Professor and PhD advisor at the School of Earth Sciences and Engineering, Sun Yat-sen University, recognized for his contributions to mineral exploration, mathematical geoscience, and data-driven Earth system analysis. He received his bachelor’s and doctoral degrees in mineral resource exploration from China University of Geosciences (Wuhan), with joint doctoral training at the University of Ottawa. His research focuses on mineral system modeling, multi-physics numerical simulation, fractal and singularity analysis, machine-learning-based mineral prospectivity, and knowledge-driven geoscientific data integration. As a core member of major national innovation teams, he has led or participated in several national and provincial research projects and contributed to the creation of an advanced UAV-based geophysical–geochemical acquisition and processing platform. He has published 54 documents with 986 citations from 706 sources and holds an h-index of 19, along with multiple patents, software copyrights, and highly cited works in leading SCI journals. He serves on editorial boards and scientific committees, including roles as youth editor and guest editor, and has organized sessions for the International Geological Congress. His work advances quantitative mineral prediction and computational geoscience, contributing impactful models and methods that enhance understanding of mineralization processes and exploration efficiency.

Profiles : Scopus | Orcid

Featured Publications

(2025). “Three-Dimensional Prospectivity Modeling of Jinshan Ag-Au Deposit, Southern China by Weights-of-Evidence.” Journal of Earth Science.

(2025). “Lithologic mapping of intermediate-acid intrusive rocks in the eastern Tianshan Gobi Desert using machine learning and multi-source data fusion.” Earth Science Frontiers.

(2025). “A DFT study on mechanisms of indium adsorption on sphalerite (100), (110), and (111) surfaces: Implications for critical metal mineralization.” Ore Geology Reviews.

(2025). “Data-driven expeditious mapping and identifying granites in covered areas via deep machine learning: A case study on the implications for geodynamics and mineralization of Eastern Tianshan.” Lithos.

(2025). “Numerical Modeling and Exploration Data Coupled-driven Mineral Prospectivity Mapping: A Case Study of Fankou Pb-Zn Deposit.” Geotectonica et Metallogenia.

Leandro Oliveira | Descriptive Analytics | Best Researcher Award

Mr. Leandro Oliveira | Descriptive Analytics | Best Researcher Award

Jaguar Mining/UFOP | Brazil

Leandro Oliveira is an accomplished geologist with over two decades of expertise in mineral exploration, specializing in gold and copper deposits across diverse geological settings. He has a proven track record in managing large-scale exploration programs, leading multidisciplinary teams, and implementing innovative exploration techniques for globally recognized mining companies. His contributions have led to significant resource expansions and technological advancements in mineral exploration processes, reflecting his commitment to sustainable and efficient mining practices.

Professional Profile

ORCID

Education

He holds a Bachelor’s degree in Geology from Universidade Estadual Paulista, complemented by an MBA in Project Management from Fundação Getúlio Vargas, both verified for international academic recognition. Currently, he is pursuing a Master’s degree in Crustal Evolution and Mineral Resources at Universidade Federal de Ouro Preto, with a strong focus on mineral systems, economic geology, and advanced exploration methodologies.

Experience

Throughout his career, he has progressed through key roles, from Junior Geologist to Exploration Coordinator, working with major companies such as Yamana Gold and Jaguar Mining. He has managed annual exploration budgets exceeding USD 5M and supervised over 250,000 meters of drilling campaigns. His expertise spans greenfield and brownfield exploration, project management, QA/QC procedures, geochemistry, geophysics, and 3D geological modeling. At Jaguar Mining, he spearheaded the discovery of over 325,000 ounces of inferred mineral resources, while at Yamana Gold, his efforts contributed to adding over 7 million ounces of AuEq to the company’s mineral resources portfolio.

Research Interests

His research and professional interests revolve around mineral systems and targeting science, structural geology, geostatistics, and the integration of advanced geospatial technologies in mineral exploration. He is particularly focused on developing innovative methodologies for target screening, mineral prospectivity mapping, and integrating hyperspectral and geochemical datasets to enhance exploration decision-making processes.

Awards and Recognitions

He has received multiple recognitions for his impactful contributions, including leading technological innovations such as implementing portable-XRF analysis that reduced analytical response time by 80% and developing corporate database structures for multi-country operations. His achievements include advancing two greenfield projects to the mine development phase and receiving acknowledgment for his role in technological innovation, exploration efficiency, and strategic mineral resource expansion.

Publications

Cabral, A.R., da Costa, M.A., Oliveira, L., Hector, S., Zeh, A., Martins, M. de S., Moura, P., Silva, M., Nazareth, L.P.T., Silva, L.C. da, Amorim, L.E.D., Kwitko-Ribeiro, R., Araújo, G.D.S., Baeta, V.A.D., Lemos, T. de C., Porto, J.V.E., Ribeiro Jr, N.F., Soares, M.L.F., Waughan, G.D., et al. (2024). “The historical Corrente gold deposit, Minas Gerais, Brazil: Geological characteristics and a reconnaissance study of nugget effect.” Applied Earth Science – Transactions of the Institutions of Mining and Metallurgy, 134: 1–14. Citations: 1

Prudente de Melo, R., Farias de Oliveira, M.A., Goldfarb, R.J., Johnson, C.A., Marsh, E.E., Perez Xavier, R., Rocha de Oliveira, L., Morgan, L.E., et al. (2021). “Early Neoproterozoic Gold Deposits of the Alto Guaporé Province, Southwestern Amazon Craton, Western Brazil.” Economic Geology, 117: 127–163. Citations: 6 | 5

Medina, C.M., Fernando Ducart, D., Souza Passos, J., de Oliveira, L.R., et al. (2021). “Exploration Vectoring from the White Mica Spectral Footprint in the Atypical Auriferous Lavra Velha Deposit, San Francisco Craton, Brazil.” Ore Geology Reviews, 139: 104438. Citations: 5 | 5

Conclusion

Leandro Oliveira embodies technical excellence, leadership, and innovation in mineral exploration. His ability to bridge cutting-edge technology with traditional geological principles has not only expanded mineral resource portfolios but also optimized exploration workflows across international mining operations. With a global perspective gained through professional experiences in Brazil, Chile, Argentina, USA, and Canada, and proficiency in English and Spanish, he continues to make significant contributions to the field of economic geology and mineral resource development, aligning his work with best practices, safety standards, and sustainable exploration strategies.