Fan Xiao | Data Processing | Research Excellence Award

Published on 28/11/202528/11/2025 by Research Data Analysis

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.

Xinyu Tan | Machine Learning and AI Applications | Best Researcher Award

Published on 14/10/202514/10/2025 by Research Data Analysis

Ms. Xinyu Tan | Machine Learning and AI Applications | Best Researcher Award

University College London | China

Ms. Xinyu Tan is an emerging architect and researcher from University College London, specializing in environmental and computational design. She holds a degree from The Bartlett School of Architecture, UCL, and previously studied at the Hubei Institute of Fine Arts, where she built a strong foundation in fine arts and digital design. Her research focuses on AI-driven urban design, architectural visualization, and sustainable spatial systems that integrate environmental awareness with advanced digital fabrication. With experience at HKS Asia Pacific Design Consulting in Singapore and Shanghai Rosso Cultural & Art Co., Ltd., she has contributed to international projects such as the 2032 Brisbane Olympic Stadium and urban renewal programs emphasizing community and heritage. Ms. Tan has received numerous awards including the Archisource Drawing of the Year 2021, the Zijin Award for Architectural Design, and multiple national recognitions for creativity and environmental design excellence. As a Teaching Assistant at DigitalFUTURES 2025, she supported AI-based interdisciplinary workshops. Her academic performance has earned several scholarships and distinctions, with her artworks preserved by the Hubei Institute of Fine Arts. reflecting her growing research impact in architectural innovation.

Profile : Scopus

Featured Publication

Tan, X. (2025). Visual perception-informed urban design toolkit: Computational urban morphology optimisation to inform real-time perceived safety. Journal of Urban Management. (Open Access).

Leandro Oliveira | Descriptive Analytics | Best Researcher Award

Published on 08/09/202508/09/2025 by Research Data Analysis

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.

Nicola Lercari – Digital Archaeology Award – Best Researcher

Published on 23/03/202423/03/2024 by Research Data Analysis

Prof. Nicola Lercari - Digital Archaeology Award - Best Researcher

Ludgwigs-Maximilian-Universität München - Germany

Author Profile

Early Academic Pursuits

Prof. Nicola Lercari's academic journey began with a Bachelor of Arts in Communication Studies from the University of Genoa in 2004. Following this, he pursued a Master of Arts in Film and Media Production at the University of Bologna in 2007. Later, in 2011, he obtained a Ph.D. in History and Computing from the Department of History and Cultures at the University of Bologna, Italy. This interdisciplinary background laid the foundation for his future contributions to the field of digital cultural heritage studies.

Professional Endeavors

Prof. Lercari's professional career spans various prestigious academic appointments and research positions. He served as a Lecturer and Postdoctoral Scholar at the University of California, Merced, between 2010 and 2012, followed by a Postdoctoral Associate position at Duke University from 2013 to 2014. He then returned to UC Merced as an Assistant Professor of Heritage Studies until 2021, when he became an Associate Professor. In 2022, he assumed the role of Full Professor and Chair of Digital Cultural Heritage Studies at Ludwig-Maximilians-Universität München.

Contributions and Research Focus

Prof. Lercari's research focuses on digital applications in archaeology and cultural heritage preservation. His work integrates cutting-edge technologies such as LiDAR, remote sensing, and 3D visualization to analyze and interpret archaeological sites. He has made significant contributions to the field through numerous peer-reviewed publications, including books, journal articles, book chapters, and conference proceedings. Lercari's research emphasizes the importance of interdisciplinary collaboration and the use of digital tools for site monitoring, conservation, and data visualization.

Accolades and Recognition

Throughout his career, Lercari has received recognition for his scholarly contributions. His research has been published in prestigious academic journals and presented at international conferences. He has also received grants and awards to support his work in digital humanities and cultural heritage preservation.

Impact and Influence

Prof. Lercari's work has had a significant impact on the field of digital cultural heritage studies. By leveraging advanced technologies and methodologies, he has advanced our understanding of archaeological sites and facilitated their preservation for future generations. His research has inspired other scholars and practitioners to adopt similar approaches, leading to further advancements in the field.

Legacy and Future Contributions

Prof. Nicola Lercari's legacy lies in his groundbreaking research at the intersection of archaeology, technology, and cultural heritage. His innovative methods and interdisciplinary collaborations have transformed how we study, preserve, and visualize archaeological sites. As he continues to lead research initiatives and mentor the next generation of scholars, his contributions will shape the future of digital cultural heritage studies for years to come.

Citations

Citations 1023
h-index 16
i10-index 18

Notable Publication

Archaeology of archaeology at Heloros: Re-interpreting the urban layout of a complex Greek settlement in Sicily using proximal sensing and data fusion Digital Applications in Archaeology and Cultural Heritage, 2024-03

Datafication of an Ancient Greek City: Multi-sensorial Remote Sensing of Heloros (Sicily), 2023

Ed Sykes – Holographic Visualization – Outstanding Scientist Award

Published on 08/03/202408/03/2024 by Research Data Analysis

Dr. Ed Sykes - holographic visualization - Outstanding Scientist Award

Sheridan College - Canada

Author Profile

Early Academic Pursuits

Dr. Edward R. Sykes embarked on his academic journey with a solid foundation in computer science and mathematics. Graduating with a Bachelor of Science (B.Sc. Hons.) from McMaster University in Computer Science and Mathematics, his early academic pursuits showcased a keen interest in computational sciences. This passion led him to pursue further studies, culminating in a Master of Science (M.Sc.) in Computer Science from McMaster University, where he delved into the intricacies of error correction algorithms. Building on this knowledge, Sykes pursued a Master of Education (M.Ed.) in Curriculum Development from Brock University, focusing on the effectiveness of interactive video classrooms.His academic pursuits reached their zenith with dual Doctor of Philosophy (Ph.D.) degrees. The first, from Brock University in Education, underscored his interest in cognition, learning, and machine learning, with a thesis centered on the design and assessment of an intelligent tutoring system. The second Ph.D., from the University of Guelph in Computer Science, delved deeper into machine learning and human-computer interaction, with a thesis on interaction algorithms. These formative years laid the groundwork for Sykes's multifaceted expertise at the intersection of education, computer science, and artificial intelligence.

Professional Endeavors

Dr. Sykes's professional journey is characterized by a diverse array of roles spanning academia, research, and industry collaboration. He began as a Professor of Computer Science at Sheridan College, where he honed his teaching skills and delved into research. Concurrently, he held adjunct and assistant professor positions at esteemed institutions such as McMaster University and the University of Guelph, fostering interdisciplinary collaborations and contributing to the academic community.His leadership roles include serving as Program Coordinator for the Honours Bachelor of Computer Science program at Sheridan College and founding the Centre for Applied AI (CAAI), formerly the Centre for Mobile Innovation. As Director of CAAI, Sykes spearheaded groundbreaking research initiatives in mobile health, securing substantial funding and forging numerous industry partnerships. Additionally, his affiliations with renowned research institutes such as the KITE Research Institute at the University Health Network underscore his commitment to advancing cutting-edge AI technologies in healthcare.

Contributions and Research Focus On holographic visualization

Dr. Sykes's research portfolio encompasses a wide spectrum of topics, ranging from machine learning and mobile computing to augmented reality and healthcare applications. His seminal work includes developing privacy-enabled mobile computing models, optimizing virtual reality-based memorization techniques, and designing innovative solutions for fall detection in senior living environments. With over 40 journal and conference publications, Sykes has significantly contributed to advancing knowledge in his field.A notable aspect of his research is its practical application, evidenced by projects such as MyHealthPortal—a web-based e-healthcare portal—and Therapy Tracker—a cross-platform medication management application. Sykes's research not only pushes the boundaries of theoretical knowledge but also translates into tangible solutions that address real-world challenges, particularly in healthcare and education domains.

Accolades and Recognition

Dr. Sykes's contributions have been recognized through numerous accolades and awards, attesting to the impact of his work. Notable honors include the NSERC Synergy Award for Innovation, the Minister's Award of Excellence for contributions during COVID-19, and prestigious scholarships such as the NSERC Canadian Graduate Scholarship. These accolades not only highlight Sykes's academic prowess but also affirm his commitment to driving innovation and excellence in research and education.

Impact and Influence

Dr. Sykes's influence extends beyond academia, encompassing industry partnerships, community engagement, and mentorship of future generations of researchers. Through initiatives like the CAAI and collaborative projects with industry and healthcare partners, he has bridged the gap between academic research and real-world applications, catalyzing positive change in healthcare delivery and technological innovation.

Legacy and Future Contributions

As a visionary leader and prolific researcher, Sykes's legacy lies in his transformative impact on the fields of artificial intelligence, mobile computing, and healthcare technology. His dedication to interdisciplinary collaboration, innovative research, and practical application sets a precedent for future generations of scholars and practitioners. Moving forward, Sykes is poised to continue shaping the landscape of applied AI, driving forward advancements that have far-reaching implications for society's well-being and technological progress.