Dongju Yang | Computer Science and Artificial Intelligence | Research Excellence Award

Dr. Dongju Yang | Computer Science and Artificial Intelligence | Research Excellence Award

North China University of Technology | China

Dr. Dongju Yang is an Associate Researcher and Assistant Lead Professor for Artificial Intelligence at North China University of Technology, with over a decade of academic and research experience in intelligent computing systems. She earned her Ph.D. in Computer Software and Theory from Northwestern Polytechnical University and previously conducted advanced research at the Institute of Computing Technology, Chinese Academy of Sciences. Her research focuses on Large Language Models, Retrieval-Augmented Generation (RAG), AI Agents, Knowledge Graphs, Natural Language Processing, Service Computing, and Data Intelligence, with strong application impact in smart elderly care and intelligent education. Dr. Yang has led more than ten competitive research projects as principal investigator, including a sub-project of China’s National Key R&D Program and an NSFC General Program, while contributing to multiple major national initiatives. She has contributed to one national standard and three group standards and received the Beijing Science and Technology Progress Award. Overall, her work bridges fundamental AI research with scalable, real-world technological impact and talent cultivation.


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Featured Publications

Intelligent Orientation Robot Based on Large Language Models and Retrieval-Augmented Generation
Dongju Yang, 5th International Conference on Artificial Intelligence and Computer Engineering (ICAICE), 2024. (WOS)

Multi-source Autoregressive Entity Linking Based on Generative Method
Dongju Yang, Weishui Lan, Communications in Computer and Information Science, 2024. (Book Chapter)

IoT Service Distributed Management Architecture and Service Discovery Method for Edge-Cloud Federation
Dongju Yang, International Journal of Grid and Utility Computing, 2022. (WOS)

Construction and Analysis of Scientific and Technological Personnel Relational Graph for Group Recognition
Dongju Yang, International Journal of Software Engineering and Knowledge Engineering, 2021. (WOS)

Research on User Demand-Driven Service Matching Methodology
Huiying Zhang, Dongju Yang, IEEE 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), 2021.

Jun Dong | Engineering and Technology | Research Excellence Award

Assist. Prof. Dr. Jun Dong | Engineering and Technology | Research Excellence Award

Nanjing University of Science and Technology | China

Jun Dong is an early-career researcher and lecturer specializing in fluid mechanics, microfluidics, and biomechanics, with a strong focus on alveolar flows, particle transport, and lab-on-a-chip systems. He earned his PhD in Mechanics from Harbin Institute of Technology (Shenzhen), following a master’s degree in Mechanical Engineering and a bachelor’s degree in Mechanical Design, Manufacturing and Automation.  He has been serving as a Lecturer in the School of Physics at Nanjing University of Science and Technology, where he actively combines teaching with independent and collaborative research. His work integrates experimental methods, numerical simulations, and microfluidic platform design to address fundamental and applied problems in pulmonary flow physics, chaotic advection, and microscale mixing. He has led multiple competitive youth-funded projects at national, provincial, and university levels and has contributed to several major research programs. Jun Dong has published extensively in high-impact international journals such as Physics of Fluids, Lab on a Chip, Biomicrofluidics, and Particuology. His scholarly output comprises approximately 17 scientific documents, with over 153 citations and an h-index of around 7, reflecting sustained academic impact. He has also received recognition through funded grants, invited talks, peer-review service for international journals, and granted invention patents. Overall, his research advances the understanding of micro- and bio-fluid dynamics and supports the development of next-generation microfluidic and biomedical engineering technologies.

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Featured Publications


Synergistically Enhanced High-Efficiency Mixing in Multi-Stage Micro-Mixers with Hybrid Design
Dong, J., Liu, J., Lv, H., Zhu, Y., Wang, C., Particuology, 109, 26–44, 2026.

Revisiting Streak Reorientation in a Turbulent Channel Flow Subjected to Spanwise Oscillating Walls
Wang, C., Li, M., Ying, Y., Dong, J., Yao, J., Physics of Fluids, 37, 115123, 2025.

Tracking the Transport of Inhaled Particles in a Lung-on-a-Chip during Breathing Cycles
Lv, H., Dong, J., Chen, H., Yang, Y., Zhu, Y., Microfluidics and Nanofluidics, 29, 64, 2025.

Flow Topology and Mixing in Alveolar Edema: Unsteady Flow in Interconnected Cavities with Moving Walls
Dong, J., Lv, H., Wang, C., Yang, Y., Chen, H., Zhu, Y., Physics of Fluids, 36, 2024.

Three-Dimensional Critical Points and Flow Patterns in Pulmonary Alveoli with Rhythmic Wall Motion
Dong, J., Lv, H., Yang, Y., Cao, Y., Zhu, Y., Journal of Physics D: Applied Physics, 56, 475401, 2023.