Ning Chen | Engineering | Best Researcher Award | 13558

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Mr. Ning Chen | Engineering | Best Researcher Award

Mr. Ning Chen, Shandong University of Science and Technology, China

Mr. Ning Chen, Lecturer at Shandong University of Science and Technology, China, is an emerging researcher in high-precision mechatronic systems. With a Ph.D. in mechanical engineering and prior industry experience, he has developed innovative piezoelectric galvanometers, stiffness-adjustable servo systems, and micro-nano motion platforms. His work is shaping the future of laser positioning, scanning, and ultra-precision control technologies. Backed by prestigious national and provincial research grants, Mr. Chen exemplifies academic excellence and practical innovation in mechanical and precision engineering.

Author Profile

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Education

Dr. Weijian Wang embarked on his academic journey with a solid foundation in chemical sciences. He earned his Bachelor’s degree in Chemical Engineering and Technology from the China University of Petroleum (East China)—an institution known for producing talent in energy and chemical sectors. His academic excellence and growing passion for applied chemical research led him to pursue a Master’s degree in Chemical Engineering at the China University of Mining and Technology, where he deepened his understanding of reaction engineering, process modeling, and advanced materials.

Eager to contribute to cutting-edge innovation in the energy sector, Dr. Wang pursued his Ph.D. in Chemical Technology at the Research Institute of Petroleum Processing (RIPP), Sinopec, one of China’s leading industrial research institutions. His doctoral training provided him with hands-on experience in industrial-scale research, advanced materials development, and interdisciplinary collaboration. To further strengthen his academic and research profile, Dr. Wang completed a postdoctoral fellowship at Zhejiang University, where he explored emerging materials and device applications, preparing him for a career at the intersection of academia and applied science.

Experience

In 2022, Dr. Wang joined Beibu Gulf University as an Associate Professor, where he has since led a promising research group focusing on halide perovskite materials. As a faculty member, he has embraced both teaching and research, mentoring students while pursuing innovative solutions to modern energy and optoelectronic challenges.

One of his key professional milestones includes leading the Guangxi Science and Technology Major Program (GuikeAA23062016). This ambitious research initiative demonstrates his leadership and technical capability in managing multi-disciplinary projects aligned with regional and national scientific goals. With no industry consultancies yet, Dr. Wang remains fully invested in academic research, pushing boundaries in materials science through both simulations and experimental designs.

Research Focus

Dr. Weijian Wang’s research is centered on the green synthesis and application of halide perovskite materials, a rapidly evolving class of compounds celebrated for their extraordinary optoelectronic properties. These materials are particularly promising in fields such as solar energy conversion, light-emitting diodes (LEDs), and medical bioimaging. At the heart of Dr. Wang’s innovation is the drive for sustainability. He has developed eco-friendly synthesis techniques that minimize environmental harm while maintaining material performance, advancing the goal of sustainable science. 🌱

In the field of perovskite solar cells, Dr. Wang employs simulation-assisted design methodologies to enhance energy conversion efficiency. His designs have led to devices with superior performance characteristics, addressing one of the key challenges in renewable energy technology. 🌞 Beyond energy, his research also extends to optoelectronic devices, including perovskite-based LEDs and imaging systems with applications in healthcare diagnostics and bioimaging. 💡

Dr. Wang’s robust scientific output includes 11 peer-reviewed publications in internationally recognized SCI-indexed journals, with eight authored as first or corresponding author. Additionally, he has secured 15 authorized invention patents as the primary inventor, underscoring his capacity to translate theoretical research into tangible technological innovations.

Award and Recognition

Despite being in the early stages of his academic journey, Dr. Wang has already built a strong research profile distinguished by originality, technical rigor, and innovation. His contributions have earned him 11 published articles in high-impact SCI-indexed journals, demonstrating both quality and consistency in scientific communication. 📚

Dr. Wang also holds 15 authorized invention patents, a notable achievement that reflects his focus on applied research and technology transfer. 🧾 These patents not only reinforce his expertise in halide perovskite materials but also highlight his dedication to practical solutions for global energy and environmental challenges.

Further elevating his academic standing, Dr. Wang currently leads a major government-funded research program, indicating trust in his leadership and vision at the national level. 💼 His H-index of 5 signifies an increasing impact within the scholarly community, with a trajectory that suggests sustained and growing influence in the years to come.

Although he does not yet hold editorial roles or memberships in professional societies, his impressive publication and patent record mark him as a promising figure in materials science. His career is on a path toward broader recognition, leadership roles, and continued contributions to the scientific community.

Publications

📖 A Semi-analytical Method for Vibro-Acoustic Properties of Functionally Graded Porous Piezoelectric Annular Plates with Cavity – Journal of Vibration Engineering and Technologies (2025).
📖 Enhancing the motion performance of 3-DOF micro/nano-manipulators facing thermo-piezoelectric-mechanical coupling effects – Sensors and Actuators A Physical (2025)
📖 Robust control of uncertain asymmetric hysteretic nonlinear systems with adaptive neural network disturbance observer – Applied Soft Computing (2024)
📖 Low thermal budget lead zirconate titanate thick films integrated on Si for piezo-MEMS applications – Microelectronic Engineering (2020)

 

 

 

Dandan Zhu | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Dandan Zhu | Engineering | Best Researcher Award

Assoc. Prof. Dr. Dandan Zhu,China University of Petroleum, Beijing,China

Dr. Dandan Zhu, Associate Professor at China University of Petroleum, Beijing, is a leading researcher in integrating artificial intelligence with petroleum engineering. Her work on intelligent drilling technologies and real-time trajectory control has advanced automation in complex subsurface environments. With over 40 research projects, 39 journal publications, and multiple patents, she bridges theory and field application. Her innovative learning frameworks and strong industry collaborations have significantly contributed to the development of smart drilling systems, reinforcing her candidacy for the Best Researcher Award.

Author Profile

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🎓 Early Academic Pursuits

Dr. Dandan Zhu’s academic journey reflects a deep-rooted passion for engineering and innovation. Her pursuit of excellence began at Beihang University, one of China’s leading institutions in aerospace and engineering, where she earned her Master’s degree in Aircraft Design. This foundational training laid the groundwork for her precision-oriented approach and problem-solving mindset. Driven by a keen interest in cutting-edge technologies and global research exposure, she went on to pursue a Ph.D. in Precision Engineering at the University of Tokyo, Japan. Her doctoral research refined her expertise in high-accuracy systems and complex mechanical processes—skills that would later fuel her contributions in artificial intelligence (AI) and petroleum engineering.

🧑‍💼 Professional Endeavors

Since 2015, Dr. Zhu has served as an Associate Professor at the College of Artificial Intelligence, China University of Petroleum, Beijing (CUPB). In this role, she has emerged as a thought leader and mentor in the field of intelligent energy systems. Her work involves teaching, supervising postgraduate students, and leading several high-impact research initiatives. Dr. Zhu has also built a bridge between academia and industry by actively participating in national-level science and technology programs, NSFC–enterprise joint funding projects, and technical consultations with leading energy companies. Her professional portfolio boasts 40 completed and ongoing research projects and 27 consultancy or industry-driven assignments. These efforts are deeply rooted in real-world challenges, ensuring that her research not only advances academic knowledge but also meets the evolving demands of energy exploration and production sectors.

🧠 Contributions and Research Focus

Dr. Zhu’s core research area lies at the intersection of artificial intelligence and petroleum engineering. Her pioneering work focuses on intelligent drilling systems, real-time wellbore trajectory control, reinforcement learning, and geological modeling. She has developed a robust learning framework that combines offline training, real-time geosteering decision-making, and post-drilling strategy optimization. By leveraging reinforcement learning algorithms and generative simulation environments, Dr. Zhu’s research enhances the adaptability and robustness of drilling operations in geologically uncertain environments. Her research contributions extend beyond theory. Integrated software platforms developed under her leadership have been field-tested in collaboration with major Chinese oil and gas companies, such as CNPC, Sinopec, and CNOOC. These platforms facilitate intelligent automation in subsurface operations, ensuring improved safety, efficiency, and cost-effectiveness.

🏅 Accolades and Recognition

Although Dr. Zhu maintains a modest public profile, her work has earned substantial recognition within academic and professional circles. She has authored 39 papers in reputed journals indexed by SCI and Scopus, and her publications have collectively received over 60 citations since 2020—a testament to their relevance and influence. Her book, published under ISBN: 978-7-3025-3524-9, further underscores her authority in the domain of intelligent drilling technologies. She holds five patents, reflecting her commitment to innovation and practical impact. While she has not yet served on editorial boards, her active participation in international conferences and professional associations such as IEEE, ACM, and SPE demonstrates her ongoing contribution to the global scientific community through peer review and scholarly discourse.

🌍 Impact and Influence

Dr. Zhu’s interdisciplinary collaborations have significantly influenced both academia and industry. Her work has helped develop more intelligent, data-driven petroleum engineering systems, contributing to the broader push for digital transformation in energy exploration. Through partnerships with research institutions and enterprises, she has been instrumental in advancing the application of AI in areas such as hydraulic fracturing, electromagnetic exploration, and 3D geological visualization. Beyond technical outcomes, her projects have delivered impactful results such as enhanced resource recovery, reduced environmental impact, and optimized operational costs—outcomes highly valued by industrial stakeholders. Furthermore, her mentorship of students and young researchers ensures the continuity of innovation and excellence in the field.

🔮 Legacy and Future Contributions

Looking forward, Dr. Zhu is poised to further advance the integration of AI with traditional engineering practices. Her vision includes the development of autonomous drilling systems that can self-optimize and self-correct in real time, even in highly unpredictable geological conditions. She also plans to expand research into simulation-based control frameworks and digital twins, providing a virtual testing ground for future subsurface technologies. With her continued dedication, Dr. Zhu is expected to leave a lasting legacy as a trailblazer in intelligent energy systems. She not only represents the new era of AI-driven engineering but also serves as an inspiration for the next generation of researchers aiming to solve the world’s most pressing energy challenges.

✍️Publication Top Notes

📘End-to-end multiplayer violence detection based on deep 3D CNN

Author: C Li, L Zhu, D Zhu, J Chen, Z Pan, X Li, B Wang

Journal: international conference on network …

Year: 2018

📘PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement Learning

Author: K Zhang, DD Zhu, Q Xu, H Zhou, C Zheng

Journal: international conference on network …arXiv preprint arXiv:2403.02635

Year:  2024

📘An intelligent drilling guide algorithm design framework based on high interactive learning mechanism

Author: Y Zhao, DD Zhu, F Wang, XP Dai, HS Jiao, ZJ Zhou

Journal: Petroleum Science

Year:  2025