Yi Liu | Data Science and Deep Learning | Research Excellence Award

Prof. Yi Liu | Data Science and Deep Learning | Research Excellence Award

Leader at Hangzhou Dianzi University | China

Prof. Yi Liu is a Professor in the Department of Information Management and Information Systems at Hangzhou Dianzi University, China, and a visiting scholar at leading international institutions, whose research integrates management science, digital economy, intelligent optimization algorithms, information systems, and econometric modeling, with significant scholarly contributions through influential books, high-impact SCI/SSCI publications, national research projects, patents, and applied innovations advancing traditional manufacturing, digital transformation, and decision-support systems.

Citation Metrics (Scopus)

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Citations
313

Documents
23

h-index
8

🟦 Citations    🟥 Documents    🟩 h-index


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Snežana Đurković | Data Science and Deep Learning | Women Researcher Award

Mrs. Snežana Đurković | Data Science and Deep Learning | Women Researcher Award

Junior Research Assistant at Institute for Nuclear Sciences Vinča | Serbia

Mrs. Snežana Đurković is an M.Sc. physicist in applied physics and informatics, Ph.D. candidate in applied physics and informatics, and junior researcher at the Institute of Nuclear Sciences Vinča, University of Belgrade, specializing in optical materials, luminescence spectroscopy, and physics-informed artificial intelligence, with strong interdisciplinary expertise spanning radiation chemistry, phosphor-based sensors and LED technologies, machine learning, laser systems, renewable energy, industrial research, software and information systems, quality control, multilingual scientific communication, project coordination, and science–industry collaboration, supported by extensive international academic, research, and professional experience.

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Pengfei Cao | Data Science and Deep Learning | Research Excellence Award

Mr. Pengfei Cao | Data Science and Deep Learning | Research Excellence Award

Associate Professor at Lanzhou University | China

Mr. Pengfei Cao, Associate Professor and Doctoral Supervisor at Lanzhou University, is a leading researcher in intelligent sensing and vertical domain-specific large AI models. With a Ph.D. in Radio Physics and international experience at Heidelberg University, he has published over fifty high-impact papers spanning terahertz metamaterials, graphene-based devices, nanoparticle coupling mechanisms, solar absorption nanofluids, cancer prediction, and AI-enhanced medical diagnostics. He holds multiple invention and utility model patents, several commercialized, along with software copyrights and a provincial teaching achievement award. His professional service includes guest editing SCI journals, governmental evaluation roles, and expert advisory positions supporting digital transformation and innovation.

Citation Metrics (Scopus)

400

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100

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Citations
374

Documents
61

h-index
11

Citations
Documents
h-index

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Yongqiang Du | Data Science and Deep Learning | Research Excellence Award

Prof. Dr. Yongqiang Du | Data Science and Deep Learning | Research Excellence Award

Professor at Tianjin University of Commerce | China

Prof. Dr. Yongqiang Du is a distinguished professor in the Department of Statistics at Tianjin University of Commerce whose academic career reflects a sustained commitment to advancing data-driven methodologies, with his work centered on the development and application of data mining techniques and statistical modeling approaches; recognized for his ability to bridge theoretical statistics with real-world analytical challenges, he has built a research profile that emphasizes the extraction of meaningful patterns from complex datasets, the design of robust quantitative frameworks, and the improvement of predictive accuracy in diverse domains; as a dedicated educator, he teaches both undergraduate and postgraduate courses in statistics and related fields, shaping future scholars and practitioners through rigorous training in statistical theory, applied analytics, and modern data methodologies, while also mentoring students in research projects that encourage original thinking and methodological depth; his professional activities include conducting research that integrates classical statistical concepts with contemporary computational techniques, contributing to the growing body of knowledge in data mining, statistical inference, and modeling strategies tailored for high-dimensional data environments; in addition to his scholarly contributions, he actively engages in collaborative academic work that supports interdisciplinary exploration, helping connect statistical science with fields such as economics, business analytics, and information systems; through his ongoing research, teaching, and service, Yongqiang Du continues to play a significant role in advancing the discipline of statistics at Tianjin University of Commerce, where his expertise, leadership, and commitment to academic excellence contribute meaningfully to the development of analytical sciences; he can be contacted at the Department of Statistics, Tianjin University of Commerce, Tianjin, China.

Profile: Scopus

Featured Publications:

(2025). A Dynamic Cost-Adjusted AdaCost Model for Credit Prediction of Smallholder Farmers. Journal of Forecasting.