Wenwei Luo | Automation | Best Researcher Award

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Mr. Wenwei Luo | Automation | Best Researcher Award

Mr. Wenwei Luo at Institute of Logistics Science and Engineering, Shanghai Maritime University, China

Wenwei Luo is a passionate robotics researcher pursuing his Master’s degree at Shanghai Maritime University, specializing in control science and engineering. With a strong foundation in robotics engineering from Zhejiang Normal University, he has demonstrated academic excellence, technical proficiency, and innovative thinking in reinforcement learning and evolutionary robotics. Wenwei has published impactful research, led interdisciplinary projects, and earned recognition in national competitions. He possesses a unique combination of embedded systems expertise and AI-based control strategies, positioning him as a rising talent in intelligent robotics. His vision is to bridge adaptive learning and real-world robotics for autonomous systems. 🤖📚🔍

Publication Profile

Orcid

Academic Background

Wenwei Luo is currently pursuing a Master’s degree in Control Science and Engineering at Shanghai Maritime University under Associate Professor Bo Li, with a GPA of 3.84/4.0 and double First Academic Scholarships. His research interests span reinforcement learning, adaptive control, and evolutionary robotics. Previously, he earned his Bachelor’s degree in Robotics Engineering from Zhejiang Normal University under Associate Professor Hu Lan, graduating with a GPA of 3.40/4.0 and receiving a Third Academic Scholarship. Wenwei’s academic background blends strong theoretical knowledge with hands-on experience in intelligent systems and control engineering. 🧠🎓📈

Professional Experience

Wenwei has led and contributed to various high-impact robotics projects. As Principal Investigator, he developed a novel inner-outer loop framework for modular robots using reinforcement learning and evolutionary optimization. As Co-Investigator, he worked on intelligent drone navigation and pursuit-evasion for port defense. He also led a RoboMaster project, designing embedded software for a wheeled robot with Mecanum wheels and a shooting mechanism. His work integrates control algorithms, real-time systems, and AI-based decision-making, validated through both simulations and real-world experiments. His diverse project roles highlight both leadership and deep technical acumen. 🤖🧪🧑‍🔬

Awards and Honors

Wenwei has received several prestigious awards and honors throughout his academic career. At Shanghai Maritime University, he won the Third Prize in the 2022 “Huawei Cup” China Post-Graduate Mathematical Contest in Modeling. During his undergraduate years, he received the National Third Prize in the 2021 National College Students Robotics Competition (RoboMaster Event). He has also been awarded the First Academic Scholarship twice during his master’s program and the Third Academic Scholarship during his bachelor’s. These recognitions reflect his commitment to excellence and contributions to engineering and robotics research. 🥇🎖️📜

Research Focus

Wenwei’s research centers on intelligent control and adaptive robotics, specifically focusing on reinforcement learning-based control, evolutionary robotics, and adaptive dynamic programming. He has pioneered a hierarchical framework integrating genetic algorithms and deep RL (PPO) for optimizing morphology and control of modular robots. His work extends to autonomous UAV path planning and pursuit-evasion strategies using fuzzy logic, neural networks, and Lyapunov-based verification. His research leverages advanced tools such as JAX and GPU parallelism for real-time learning and optimization. Wenwei aims to develop scalable, autonomous systems capable of intelligent behavior in complex environments. 🧠📡🚀

Publication Top Notes

📄  Inner–Outer Loop Intelligent Morphology Optimization and Pursuit–Evasion Control for Space Modular Robot

 📅Year: 2025 | 📚 Journal: Actuators, Volume 14

Conclusion

Wenwei Luo is a highly promising early-career researcher whose academic excellence, innovative research, and practical contributions make him a strong contender for a Best Researcher Award. With a Master’s GPA of 3.84/4.0 and a strong undergraduate foundation, he has demonstrated consistent academic achievement. His research focuses on cutting-edge areas such as modular robotics, reinforcement learning, and evolutionary optimization, exemplified by his novel inner–outer loop architecture combining genetic algorithms and PPO for pursuit–evasion tasks. He has authored peer-reviewed publications, including a journal article in Actuators, and holds a patent alongside software copyrights, reflecting both theoretical and applied innovation. His technical skill set spans AI frameworks, embedded systems, and robotics platforms, and his leadership roles in multiple projects showcase his capability for independent and collaborative research. Combined with national competition awards and scholarships, Luo’s profile embodies the qualities celebrated by the Best Researcher Award.

 

Han-Jui Chang | Mechatronics Engineering | Best Researcher Award

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Prof Dr. Han-Jui Chang | Mechatronics Engineering | Best Researcher Award

Mechatronics Engineering, Shantou University, China

Han-Jui Chang (Henry Chang) is an accomplished engineer and academic with over 20 years of experience in the engineering and manufacturing industries. Currently an Associate Professor at Shantou University, he specializes in industrial production processes, engineering materials, and molding simulation. Henry has extensive experience in project design, customer service, and sales in the field of injection molding, as well as in research and development of new technologies. His career is marked by his dedication to both practical industry applications and academic excellence. 🌍🎓

Publication Profile

Strengths for the Award

  1. Extensive Experience in Research and Development: Han-Jui Chang has over 20 years of experience in engineering and manufacturing, particularly in the field of injection molding machines. His background in developing new products and technologies, combined with his expertise in analyzing and optimizing production processes, demonstrates a strong foundation in research and practical application.
  2. Notable Academic and Industrial Contributions: As an associate professor at various universities, Han-Jui Chang has contributed significantly to academia through teaching and mentoring students in subjects related to industrial production processes, engineering materials, and molding simulation. Additionally, he has published several research papers in high-impact journals (such as “Polymers” and “The International Journal of Advanced Manufacturing Technology”), which showcase his contributions to advancing knowledge in mechanical engineering and materials science.
  3. Recognition and Awards: Han-Jui Chang has been recognized for his expertise and contributions, as evidenced by his membership in the USA Sigma Xi Scientific Research Honor Society and multiple invitations as a guest speaker at renowned universities. His role as a patent holder and his numerous certifications in the field further highlight his innovation and leadership in research.
  4. Interdisciplinary Skills and Global Experience: His diverse skill set includes expertise in mechanical and electrical engineering, project management, and international trade. He has experience in both academic and industrial settings, spanning various countries and cultural contexts, making him a well-rounded candidate for the award.

Areas for Improvement

  1. Focus on Expanding Research Publications: Although Han-Jui Chang has several notable publications, expanding the volume and diversity of his research output could strengthen his case for the award. Collaborating with more researchers internationally and targeting a broader range of high-impact journals would enhance his visibility and influence in the research community.
  2. Strengthen Research Impact: While his research outputs are published in reputable journals, enhancing the citation impact and exploring interdisciplinary research areas could further demonstrate the broader relevance and applicability of his work. Engaging in more collaborative research projects with industry and academia could help achieve this.
  3. Further Involvement in Professional Organizations: While he is already a member of a prestigious research society, increasing his involvement in professional organizations (e.g., serving on editorial boards or leading committees) could demonstrate his commitment to contributing to the research community beyond his own work.

🎓 Education:

Doctorate in Industrial Education from Universidad Metropolitana (2015-2018) 🏫. Master of Science in Mechanical & Electrical Engineering from National Formosa University (2005-2007) 🔧📐.

💼 Experience:

Henry Chang has a diverse professional background with over 20 years in engineering and manufacturing. His roles have spanned from Service Engineer to Associate Professor, demonstrating his versatility in technical customer service, research and development, project management, and teaching. Henry has significant experience in stress analysis, plant layout, and developing innovative engineering solutions, particularly in the field of injection molding and mechanical systems. His international experience includes roles across Taiwan, China, and Europe, with a focus on customer relationship management, product development, and market expansion. 🌏💼

🔍 Research Focus:

Henry Chang’s research interests are centered on optimizing manufacturing processes, particularly through the application of advanced algorithms like NSGA-II and Kriging models. He is passionate about improving the quality and efficiency of manufacturing, specifically in areas such as injection molding, five-axis machine tools, and innovative material applications. His research combines practical engineering applications with advanced theoretical methods, contributing to the development of new technologies in the field. 🧬🔬

🏆 Awards and Honors:

Best Paper Award at the IEEE International Conference on Advanced Manufacturing (2018) 🏅. Recognized for his innovative contributions to the evaluation of five-axis machine tools and manufacturing optimization methods. 🥇

📚 Publication Highlights:

Chang, H., Sun, Y., Lu, S., & Zhang, G. (2023). Application of the NSGA-II Algorithm and Kriging Model to Optimize the Process Parameters for the Improvement of the Quality of Fresnel Lenses. Polymers, 15, 3403. Polymers Journal (SCI/Q1, IF=5.0) 🔍

Chang, H. (2018). Using a Cone Frustum Part in the Evaluation of Multiple Types of Five-Axis Machine Tools with the Taguchi Method. IEEE International Conference on Advanced Manufacturing. IEEE Conference (Best Paper Award) 🏅

Chang, H., Chen, S.-L., & Lee, P.-Y. (2017). Applying a Pyramid Part in the Performance Evaluation of Multiple Types of Five-Axis Machine Tools. The International Journal of Advanced Manufacturing Technology, pp1–7. 📖

Conclusion

Han-Jui Chang’s extensive experience in engineering and manufacturing, combined with his academic contributions and recognition in the field, make him a strong candidate for the Best Researcher Award. He has demonstrated expertise in developing innovative solutions, optimizing manufacturing processes, and contributing to the academic community. However, further enhancing his research impact through increased publications, citations, and broader professional engagement could solidify his standing as a top contender for the award. Overall, his achievements and contributions align well with the criteria for the award, and he has the potential to make an even more significant impact in the future.