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Dr. Yueh Yea Lo’s research focuses on AI-driven educational assessment, English language education, and writing evaluation, with particular emphasis on reliability, fairness, and ethical integration of artificial intelligence in high-stakes examinations. Her work advances understanding of human–AI scoring alignment, bias detection, and assessment standardization. She has contributed to internationally indexed journals and conferences, producing impactful studies that bridge technology and pedagogy. Her research innovations include comparative analysis of AI systems in authentic exam contexts and frameworks for responsible AI adoption. Recognized through international research awards, her contributions influence global assessment policies and future-ready education systems.
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Mintek | South Africa
Prof. Xolisa Goso is an accomplished researcher in pyrometallurgy and applied chemistry, with a strong focus on mineral beneficiation, thermochemical processing, and sustainable extraction of metals across ferroalloys, precious, and technology metals. He has contributed significantly to innovative process development, including patented technologies such as the IMPRIL process, and has authored multiple peer-reviewed journal and conference publications. With a Scopus profile of 69 citations, 10 documents, and an h-index of 5, his research demonstrates growing academic impact. His work integrates advanced thermochemical modelling with pilot-scale validation, supporting industrial applications. He is widely engaged in international collaborations, scientific conferences, and funded research initiatives.
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University of Lorraine | France
Mr. Reagan Mandiya is an emerging researcher in Artificial Intelligence and data science, with a growing academic impact reflected in 17 Scopus citations, 3 documents, and an h-index of 2. His research focuses on advanced machine learning, deep learning, and AI-driven healthcare applications, particularly in cardiac arrhythmia diagnosis using large language models. He has contributed to innovative solutions in COVID-19 detection, fraud analytics, and language translation using transformer-based models. His interdisciplinary approach integrates bioinformatics, cybersecurity, and big data analytics. Through collaborative research and mentorship, he actively advances applied AI solutions addressing real-world challenges.
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G.A. Krestov Institute of Solution Chemistry of the Russian Academy of Sciences | Russia
Alexander Agafonov is a distinguished researcher in functional nanomaterials and advanced inorganic systems, with a strong focus on electrorheological fluids, ionogels, and photocatalytic heterostructures. His work spans catalysts for motor fuel production, porous oxide nanostructures, and innovative materials for adsorption and drug delivery applications. He has made significant contributions to the understanding of materials science fundamentals in nanotechnology and inorganic chemistry. With an extensive research output of 220 Scopus-indexed documents, 2,742 citations, and an h-index of 23, his scholarly impact reflects sustained excellence and influence in the field. His research continues to advance cutting-edge developments in nanomaterials and applied chemistry.
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