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

Published on by Mechanics Awards

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.

Binbin Qin | Data Science and Deep Learning | Best Researcher Award

Published on by Mechanics Awards

Mr. Binbin Qin | Data Science and Deep Learning | Best Researcher Award

Instructor at Zhejiang Institute of Economics and Trade | China

Binbin Qin is a dedicated academic and researcher currently serving as a lecturer in the School of Business Intelligence at Zhejiang Institute of Economics and Trade, China. His work bridges the dynamic intersections of artificial intelligence, computer vision, and data mining, where he continually explores innovative methodologies that enhance intelligent decision-making and automated learning systems. With a strong focus on applying AI technologies to real-world problems, he contributes to developing intelligent solutions that improve safety, efficiency, and data-driven insights in various domains. His scholarly endeavors are characterized by a deep interest in how computational models can mimic human perception and decision-making through advanced neural network architectures and learning paradigms. Among his notable contributions, his publication titled “Distracted Driver Detection Based on a CNN With Decreasing Filter Size” in the IEEE Transactions on Intelligent Transportation Systems exemplifies his expertise in designing high-performance convolutional neural network frameworks capable of addressing critical safety challenges in intelligent transportation. Through his continuous research, he aims to merge the theoretical foundations of artificial intelligence with practical applications that influence intelligent mobility, human-computer interaction, and predictive analytics. reflects his growing contributions to the research community. As an emerging scholar in the field of computational intelligence, Binbin Qin remains committed to advancing interdisciplinary research that integrates algorithmic innovation with applied data science to drive the future of smart systems, autonomous learning environments, and intelligent business analytics.

Profile: Orcid

Featured Publications:

Qin, B. (2025). CRNet: A driver distraction detection model based on cascaded ResNet networks and attention mechanisms. IET Intelligent Transport Systems.

Qin, B., Qian, J., Xin, Y., Liu, B., & Dong, Y. (2022). Distracted driver detection based on a CNN with decreasing filter size. IEEE Transactions on Intelligent Transportation Systems.