Chongshui Liu | Computer graphics | Best Researcher Award | 13541

Mr. Chongshui Liu | Computer graphics | Best Researcher Award 

Mr. Chongshui Liu, Shihezi University, China

Mr. Chongshui Liu, a dedicated postgraduate student at Shihezi University, China, is actively engaged in cutting-edge research in the field of computer graphics. His work focuses on topological geometric modeling, implicit modeling of complex topologies, and deep learning-based analysis of geometric structures. With published work in high-impact journals like Computer-Aided Design and patents under process, Mr. Liu exemplifies innovation and academic excellence. His contributions demonstrate strong potential for advancing the field, making him a worthy nominee for the Best Researcher Award.

Authors Profile

Orcid

Education

From an early age, Mr. Chongshui Liu displayed an exceptional curiosity for the mechanics of visual computation and digital innovation. His academic journey began with a strong foundation in computer science, mathematics, and computational theory, leading him to pursue advanced studies in computer graphics and geometric modeling at Shihezi University, China. As a postgraduate student, Mr. Liu has continuously demonstrated a deep commitment to academic excellence, laying the groundwork for a research career that blends creativity with computational precision. His early exposure to 3D modeling software, algorithmic thinking, and programming languages like C++ and Python nurtured his technical competence and passion for the visualization of complex systems.

Experience

Although still a postgraduate student, Mr. Liu has already carved a notable path in his research domain. Working closely with academic mentors and research labs at Shihezi University, he has engaged in projects that tackle challenges in topological geometry, implicit surface representation, and deep learning-based analysis of complex structures. His work includes contributing to theoretical advancements as well as the practical development of modeling techniques that have potential applications in industrial design, medical imaging, and simulation technologies. He brings to his work a meticulous approach and a forward-thinking vision, marking him as an emerging researcher of high caliber.

Research Focus

Mr. Chongshui Liu’s research is centered on topological geometric modeling, a vital domain in modern computer graphics, CAD systems, and scientific visualization. His groundbreaking work, published in the prestigious journal Computer-Aided Design, presents a Voronoi-based approach to implicit complex topology modeling, offering a significant advancement in the computational representation and manipulation of intricate geometric structures. In addition to his scholarly publications, Mr. Liu has demonstrated strong technical ingenuity through the filing of two patents (02510814304X and 025108143016), which highlight his ability to translate complex computational theories into real-world problem-solving tools. Furthermore, he is actively exploring deep learning frameworks to enhance the understanding and analysis of 3D topologies, with the goal of developing intelligent systems that can autonomously model and interpret complex spatial data. His contributions hold immense potential for improving modeling accuracy and efficiency across diverse fields, including engineering, medical imaging, and computer animation.

Award and Recognition

Although early in his career, Mr. Liu’s work has not gone unnoticed. His SCI-indexed publication and successful patent filings are notable achievements for a researcher at the postgraduate level. His research has received appreciation from faculty peers and has gained visibility in the wider academic community. His proactive engagement with research networks and platforms, such as ORCID underscores his dedication to transparency and scholarly collaboration.

Impact and Influence

The potential applications of Mr. Liu’s research are vast and multidisciplinary. By enhancing the efficiency and flexibility of complex topology modeling, his work could greatly benefit fields such as biomedical engineering, architectural design, and computational physics. His contributions support not only academic advancements but also industry-oriented innovation, where high-precision modeling is critical. Through collaboration and knowledge dissemination, he is already influencing upcoming scholars and practitioners in the computational graphics space.

Publication

📘Implicit complex topology modeling design method based on Voronoi Computer

Author: Chongshui Liu , Quan Qi
Journal:  Aided Design
Year: 2025

Huali Sun | Decision Sciences | Best Researcher Award | 13510

Prof Huali Sun | Decision Sciences | Best Researcher Award

Prof Huali Sun, Shanghai University, China

Prof. Huali Sun, a distinguished Professor and Ph.D. Supervisor at the School of Management, Shanghai University, is a leading scholar in control theory, operations research, and decision science. With a Ph.D. from Shanghai Jiao Tong University and international experience as a visiting scholar at the University of Missouri, he has led numerous national and provincial research projects. Prof. Sun has published over 80 high-impact papers, authored key management texts, and contributed nationally recognized case studies. His research has directly influenced public policy, with multiple consultation reports adopted by government bodies. A dedicated mentor, he has guided over 80 postgraduates to academic excellence.

Author Profile

Scopus

🎓 Early Academic Pursuits

Prof. Huali Sun began his academic journey with a keen interest in the analytical and systemic aspects of management science and control theory. He pursued and completed his Ph.D. in Control Theory and Control Engineering from the prestigious Shanghai Jiao Tong University, laying a strong theoretical and methodological foundation for his future research endeavors.

Driven by curiosity and academic excellence, Prof. Sun further broadened his global academic exposure by serving as a senior visiting scholar at the University of Missouri, USA, in 2014. This international experience helped refine his interdisciplinary approach and instilled in him a global perspective on solving real-world management and engineering problems.

👨‍🏫 Professional Endeavors

Prof. Sun is a full-time Professor and Ph.D. Supervisor at the School of Management, Shanghai University, where he has been instrumental in shaping research, teaching, and academic service. With an exceptional teaching record and mentoring dedication, he has been twice recognized as an Excellent Full-time Tutor for undergraduates at Shanghai University’s Community College in 2021 and 2022.

Throughout his academic tenure, he has taken leadership in developing research-driven academic culture, mentoring students, and contributing significantly to institutional development through consultancy, administration, and collaborative projects.

He was also honored as an Outstanding Party Member of the School of Management in 2016, demonstrating not only scholarly excellence but also service to academic and civic communities.

📊 Contributions and Research Focus

Prof. Sun’s research stands at the intersection of management operations research, systems engineering, and decision sciences. He has successfully hosted three National Natural Science Foundation (NSFC) projects and contributed to a sub-project of a Major National Social Science Foundation initiative.

Beyond national-level funding, he has led and participated in numerous provincial and municipal projects, including:

  • Ministry of Education Humanities and Social Sciences projects

  • Shanghai Philosophical and Social Sciences Series

  • Shanghai Youth Projects

  • SMSTC Soft Science Research Projects

  • Key innovation initiatives from the Shanghai Municipal Education Commission

His academic focus includes decision-making under uncertainty, logistics systems, production economics, and innovation strategy — areas vital to economic planning and industrial modernization.

🏆 Accolades and Recognition

Prof. Sun’s excellence in teaching, research, and service has earned him numerous accolades, including:

  • Outstanding Party Member (2016)

  • Excellent Tutor Awards (2021, 2022)

  • Repeated recognition for guiding postgraduates who have won national scholarships, Shanghai Outstanding Graduate Awards, and Shanghai University’s top honors

His work has also influenced public policy, with over 10 consultation reports adopted by central and municipal authorities. Notably, one of his consultation reports received direct instruction from a national leader, and four others drew attention from provincial-level leadership — a rare and prestigious acknowledgment for academic consultancy.

🌐 Impact and Influence

Prof. Sun’s contributions extend beyond academia into policy-making, institutional strategy, and applied innovation. His work has had real-world implications in optimizing urban systems, improving decision-making frameworks in public institutions, and fostering innovation in business management.

As a supervisor, he has guided over 80 postgraduates, many of whom have gone on to secure prominent positions in academia, government, and industry. His leadership has created a thriving academic community that emphasizes rigor, relevance, and responsibility.

🔮 Legacy and Future Contributions

Prof. Huali Sun is recognized not just for what he has achieved, but for what he continues to build. His ongoing goals include:

  • Expanding research in digital transformation and intelligent decision systems

  • Nurturing interdisciplinary collaborations between engineering, data science, and management

  • Elevating the global visibility of Chinese academic research in systems and control engineering

  • Shaping the next generation of thought leaders in operations and management science

He remains committed to innovation-driven teaching and practice-focused scholarship, ensuring his legacy as a trailblazer in Chinese management academia continues to inspire.

✍️ Publication Top Note


📘A robust and multi-period model for an emergency logistics network considering the risk of disruptions

Author: Huali Sun, Yao Huang, Qianqian Chang and Jiamei Li

Journal: RAIRO – Operations Research

Year: 2025


📘Analysis of transportation CO2 emission efficiency in the Yangtze River Economic Belt in China

Author: Huali Sun, Boyu Zhou, Zeping Li, Xinyi Li & Yaofeng Xue