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.

Mohammed Maiza | Computer Science and Artificial Intelligence | Research Excellence Award

Dr. Mohammed Maiza | Computer Science and Artificial Intelligence | Research Excellence Award

Université Oran 1 | Algeria

Dr. Mohammed Maiza is an Associate Professor of Computer Science specializing in Pattern Recognition and Artificial Intelligence, with a strong academic and research profile in intelligent systems and data-driven computing. He holds an engineering degree in Computer Science with a specialization in Artificial Intelligence, followed by a Magister and Ph.D. in Computer Science focused on Pattern Recognition and AI. His academic career includes long-standing experience as a Lecturer-Researcher at leading Algerian universities, where he has contributed extensively to teaching, research supervision, and academic leadership. His research interests span pattern recognition, machine learning, artificial intelligence, data analysis, and intelligent decision-support systems. Dr. Maiza has actively participated in international conferences, workshops, and research visits in Algeria and France, strengthening collaborative research networks. He has authored multiple peer-reviewed scientific publications indexed in international databases, with measurable scholarly impact reflected through his h-index, citation count, and documented research outputs in major indexing platforms. In addition to research, he has held several academic leadership and coordination roles, contributing to curriculum development and institutional governance. His academic contributions demonstrate a sustained commitment to advancing AI research, mentoring graduate students, and fostering innovation in computer science, positioning him as a respected researcher and educator in the field.

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Featured Publications

C. Cherif, M.K. Abdi, A. Ahmad, M. Maiza
International Journal of Computing and Digital Systems, 14(1), 10505–10513, 2023 · Citations: 5

M. Maiza, S. Chouraqui, C. Cherif, A. Taleb-Ahmed
Przegląd Elektrotechniczny, 2025(4), 2025 · Citations: 4

A. Ahmad, M. Bouneffa, H. Basson, C. Cherif, M.K. Abdi, M. Maiza
Enterprise Interoperability X: Enterprise Interoperability Through Connected Enterprises, 2024 · Citations: 1

C. Cherif, M. Maiza, S. Chouraqui, A. Taleb
13th European Workshop on Visual Information Processing (EUVIP), pp. 1–6, 2025

C. Cherif, M. Maiza, S. Chouraqui, A. Taleb-Ahmed
Informatica, 49(3), 2025

Mehrdad Esmaeilipour | Electrical Engineering | Engineering Talent Award

Mr. Mehrdad Esmaeilipour | Electrical Engineering | Engineering Talent Award

Arya Plasma Gostar Pars | Iran

Mehrdad Esmaeilipour is an accomplished Electronics Engineer with extensive experience in green technology, digital health, and smart systems innovation. Holding a Bachelor’s degree in Electronics Engineering Technology from Islamic Azad University, he has applied his expertise as a Senior Electronics Engineer at Arya Plasma Gostar Pars Company, leading projects in cold plasma systems, air purification, and wastewater treatment technologies. As the founder and CEO of Parsa Pardazesh Bushehr Sanat Company (PPBS Co.), he has combined technical excellence with entrepreneurial vision, fostering innovation, employment, and social impact. His research spans artificial intelligence, robotics, smart wearable devices, renewable energy systems, and electronic circuit optimization, leading to multiple patents, including a novel smart bracelet for visually impaired individuals. He has authored several books and journal articles on photovoltaic systems, electrical safety, robotics, and AI applications, contributing to both academic and industrial advancements. With conference presentations in Europe, Iran, and beyond, he has gained international recognition through numerous awards such as the Best Wearable Sensing Technology Award 2025 and the Global Recognition Award 2025. Dedicated to leveraging electronics for environmental sustainability and human welfare, Mehrdad continues to integrate research, innovation, and mentorship, shaping the future of smart systems and sustainable engineering.

Profile :  Google Scholar

Featured Publications

Esmaeilipour, M., & Zalzar, M. H. (2025). Design, construction and performance comparison of fuzzy logic controller and PID controller for two-wheel balance robot (smart sensors). Applied Mathematics on Science and Engineering, 2(1), 36–47.

Esmaeilipour, M. (2025, July). Advances and challenges in lithium-ion battery technology. In Proceedings of the 2nd International Conference on Electrical, Mechanical, Information Technology and Computer in Engineering Sciences (Naples, Italy).

Esmaeilipour, M. (2025, May). Design of an optimal proportional-integral-derivative controller utilizing AI techniques for brushless direct current motor with phase shift. In Proceedings of the International Conference on Computer, Electrical, Mechanical and Engineering Science (Eindhoven, Netherlands).

Esmaeilipour, M. (2025, June). Advancements in cold plasma technology for electronic and surface sterilization applications. In Proceedings of the 9th International Conference on Science and Technology of Electrical, Computer and Mechanical Engineering (Iran).

Esmaeilipour, M. (2025, February). Design, construction and performance comparison of fuzzy logic controller and PID controller for two-wheel balance robot. In Proceedings of the 10th International Conference on Electrical Engineering, Computer, Mechanics and Artificial Intelligence (Mashhad, Iran).