Mr. Pingjie Ou | artificial intelligence | Best Researcher Award

Mr. Pingjie Ou | artificial intelligence | Best Researcher Award

Student, Guangxi University, China

Pingjie Ou is a passionate master’s student at Guangxi University, China, specializing in edge computing, cloud computing, and machine learning. With a strong academic foundation and growing research portfolio, he is actively contributing to next-generation computing paradigms. His early contributions in deep reinforcement learning applications for vehicular networks have already gained traction within the academic community. 🧠💡

Professional Profile

Scopus

🎓 Education Background

Pingjie Ou is currently pursuing his master’s degree at Guangxi University, one of the prominent institutions in China. His academic focus lies in electrical and computer engineering, with emphasis on distributed computing and artificial intelligence. 📘🏫

💼 Professional Experience

Although a student, Pingjie Ou has engaged in substantial research activities under funded projects including The National Natural Science Foundation of China (No. 62162003) and GuikeZY24212059 supported by the Guangxi Province. His active involvement in real-time research scenarios demonstrates promising professional potential. 🔬📊

🏅 Awards and Honors

As an emerging scholar, Pingjie Ou has not yet accumulated major awards but has gained recognition through impactful publications and research citations. His growing citation record and h-index reflect the potential for future accolades. 🏆📈

🔍 Research Focus

His core research interests include edge computing, cloud computing, vehicular networks, and machine learning. He is particularly focused on cooperative caching, resource management, and optimizing network efficiency using artificial intelligence approaches such as deep reinforcement learning. 🚗☁️📶

🧾 Conclusion

Pingjie Ou is a driven young researcher dedicated to advancing intelligent computing technologies. With strong academic grounding, collaborative research exposure, and early citation impact, he stands as a promising candidate for recognition in the domain of computer science and engineering. His scholarly journey is on a clear upward trajectory. 🚀📚

📚 Publication Top Note

  1. PDRL-CM: An efficient cooperative caching management method for vehicular networks based on deep reinforcement learning
    📅 Published Year: 2025
    📖 Journal: Ad Hoc Networks
    🔗 10.1016/j.adhoc.2025.103888

 

Assoc. Prof. Dr. Feng Xie | intelligence systems | Best Researcher Award

Assoc. Prof. Dr. Feng Xie | intelligence systems | Best Researcher Award

School of Information Science and Technology / Sanda University, China

Dr. Feng Xie is an accomplished Associate Professor at the School of Information Science and Technology, Sanda University, China . With a career that bridges academia and industry, he has been at the forefront of intelligent transportation systems, urban mobility, and smart city innovations. As a tech entrepreneur and researcher, he has led over 500 consultancy projects globally and holds numerous patents and software copyrights. His expertise spans traffic management, AI applications, IoT, and big data analytics, with significant contributions that have earned him prestigious awards and talent program recognitions.

Publication Profile

ORCID

🎓 Education Background:

Dr. Xie earned his Ph.D. from Nanyang Technological University, Singapore , in 2002 and completed his postdoctoral research at Tongji University, China , in 2005. His academic foundation is rooted in transportation engineering, computer science, and intelligent systems, providing the basis for his interdisciplinary approach to research and technology deployment.

💼 Professional Experience:

Currently serving as an Associate Professor at Shanghai Shanda University, Dr. Xie has also been the founder of Shanghai Van-Chance Trans. Technologies (2010–2022), where he led large-scale smart transportation projects across Asia. He worked extensively with government and industry partners, such as Singapore’s Land Transport Authority and IKEA, and directed projects like the world’s largest underground parking facility. He has also held leadership roles in cross-border technology associations and has developed systems used in cities like Beijing, Hangzhou, and Wuhan.

🏆 Awards and Honors:

Dr. Feng Xie has been recognized with several prestigious awards, including the IES Engineering Achievement Award in 2004 for his contributions to Singapore’s i-Transport project and the Shanghai Science Progress Award in 2013. He has also been selected for elite talent programs such as the Shanghai “3310” Overseas High-level Talent Program and Nanjing “321” Leading Technology Entrepreneurship Talent Program. His innovative work has resulted in 5 patents and 9 software copyrights, solidifying his impact in both academic and applied research domains.

🧠 Research Focus:

Dr. Xie’s research is centered on Intelligent Transportation Systems (ITS), AI-driven traffic management, smart parking, indoor positioning, urban planning, and emerging tech applications in IoT and quantitative finance. His efforts in traffic simulation, traveler behavior modeling, and data-driven urban development have influenced policies and technologies in smart mobility across multiple major cities. He has collaborated with Tongji University, published in Transportation Research Board journals, and contributed to key projects with global relevance.

✅ Conclusion:

With a unique blend of academic rigor and entrepreneurial innovation, Dr. Feng Xie exemplifies leadership in intelligent systems and sustainable urban technology 🌍. His work has profoundly shaped how modern cities approach mobility, data analytics, and smart infrastructure development. He continues to push the boundaries of AI, transportation science, and cross-border collaboration, earning him a rightful nomination for the Best Researcher Award.

📚 Top Publications :

PDCG-Enhanced CNN for Pattern Recognition in Time Series Data
Journal: Elsevier – Expert Systems with Applications
Year: 2022 | Cited by: 38 articles

Modeling Traveler Behavior Using Hybrid RP/SP Data and Path-Size Logit Models
Journal: Transportation Research Record: Journal of the Transportation Research Board
Year: 2012 | Cited by: 65 articles

AI-Based Traffic Incident Management Systems: A Case Study of Singapore’s i-Transport Project
Journal: IEEE Transactions on Intelligent Transportation Systems
Year: 2014 | Cited by: 79 articles

Urban Traffic Simulation Using GPS Data Fusion and Adaptive Signal Optimization
Journal: Journal of Transportation Engineering, ASCE
Year: 2016 | Cited by: 45 articles

Smart Parking Systems Powered by IoT and AI: A Case Study of Guinness Record Facility
Journal: Sensors (MDPI)
Year: 2020 | Cited by: 54 articles

Ms. Zhengrong Xiang | Control Science | Young Scientist Award

Ms. Zhengrong Xiang | Control Science | Young Scientist Award

Teaching assistant, School of Physics and Information Engineering, Guangxi Science and Technology Normal University, China

Xiang Zhengrong is a dedicated researcher and educator in Control Science and Engineering with expertise in Unmanned Aerial Vehicle (UAV) Systems 🚀. She holds a Master of Engineering degree and currently serves as a full-time teacher at the School of Physics and Information Engineering, Guangxi Science and Technology Normal University 🏫. With a strong background in control theory, automation, and UAV research, she actively contributes to cutting-edge technological advancements. As a member of the Guangxi Automation Society, she is committed to fostering innovation in aerospace control systems and automation technologies.

Publication Profile

🎓 Education

Xiang Zhengrong has a strong academic foundation in engineering and automation. She earned her Master’s degree in Control Science and Engineering 🎓 from Guangxi University of Science and Technology (2019-2022). Before that, she completed her Bachelor’s degree in Electrical Engineering and Automation ⚡ from Chongqing Three Gorges University (2017-2019). Her early technical education began at Chongqing Vocational and Technical College of Industry and Trade (2014-2017), where she specialized in Refrigeration and Air-conditioning Technology ❄️.

💼 Experience

Since July 2022, Xiang Zhengrong has been a full-time faculty member at Guangxi Science and Technology Normal University 📚. She has also served as a visiting teacher at the School of Automation, Guangxi University of Science and Technology 🏛️. With a keen interest in automation and UAV simulation, she has worked on multiple research projects related to UAV flight control, semi-physical simulation systems, and industrial automation technologies 🔬.

🏆 Awards and Honors

Xiang Zhengrong has actively contributed to research and academia, earning recognition for her work. She has secured funding for multiple research projects, including collaborations with Shenzhen Silop Technology Co., Ltd., and has received research grants from the Guangxi Education Science “14th Five-Year Plan” 📜. Her contributions to UAV technology and automation research have been widely recognized within academic and industrial communities 🏅.

🔬 Research Focus

Her primary research interests revolve around Unmanned Aerial Vehicle (UAV) Systems, Control Theory, and Automation ✈️. She specializes in semi-physical simulation systems, flight controller development, and innovative training models for engineering students 🎯. She has also participated in key projects related to electromagnetic interference technologies, capacitive touchscreens, and AI-driven microgrid control systems ⚙️.

🔖 Conclusion

With a passion for engineering and innovation, Xiang Zhengrong continues to push the boundaries of UAV system research and automation 🚀. As a dedicated educator and researcher, she actively contributes to cutting-edge technological advancements and interdisciplinary collaborations. Her scientific publications in reputed journals and research project involvements highlight her commitment to excellence in automation and aerospace control systems 🌍.

📚 Publications

New Generalization and Refinement of the Local Fractional Integral Cauchy–Schwartz Inequality on Fractal SpaceThermal Science, 2025 (In press, SCI Journal)

Hölder Type Inequality for Conformable Fractional Integral and Some Related ResultsThermal Science, 2025 (In press, SCI Journal) 🔗

An improved UWB indoor positioning approach for UAVs based on the dual-anchor modelSensors, 2025 (In press, SCI Journal) 🔗

Design of DC motor position tracking system based on LQRJournal of Physics: Conference Series, 2021 🔗

Time Series Generation Adversarial Network Controller Based on Optimal Control of Micro-Grids2nd International Conference on Futuristic Technologies (INCOFT), 2023 🔗 [DOI: 10.1109/INCOFT60753.2023.10425311]

Design of hardware-in-the-loop simulation system based on Pixhawk flight controlJournal of Physics: Conference Series, 2021 🔗

Dr. Pengtao Song | Control Science | Best Researcher Award

Dr. Pengtao Song | Control Science | Best Researcher Award

Student, Xi’an Jiaotong University, China

Pengtao Song is a dedicated Ph.D. student at Xi’an Jiaotong University, China, specializing in Control Science and Engineering. With a strong foundation in automation from Northeastern University, he has been actively involved in groundbreaking research in cyber-physical systems, networked control, and intelligent control of industrial processes. His expertise extends to the diagnosis and control of mechatronic systems, with a focus on improving the robustness and efficiency of complex engineering networks. As a member of the Chinese Association of Automation (CAA), Pengtao continues to contribute significantly to the field of control engineering.

Publication Profile

🎓 Education

Pengtao Song earned his B.S. degree in Automation from Northeastern University, Qinhuangdao, China, in 2020. Currently, he is pursuing his Ph.D. in the Faculty of Electronics and Information Engineering at Xi’an Jiaotong University, where he focuses on cyber-physical systems and networked control.

💼 Experience

Pengtao has been actively engaged in advanced research projects, including the prestigious National Science and Technology Major Project of China. His collaboration with the Logistics Science and Innovation Integration Development Research Center at Xi’an Jiaotong University has further enriched his experience in applied research and industrial innovation. His work has been recognized in high-impact journals such as Aerospace Science and Technology, IEEE Transactions on Automation Science and Engineering, and Nonlinear Dynamics, demonstrating his expertise in system modeling and intelligent control.

🏆 Awards and Honors

Pengtao Song’s outstanding contributions to control engineering have earned him recognition in the academic community. His publications in SCI and Scopus-indexed journals have made a significant impact, contributing to the advancement of cyber-physical systems. His research excellence has positioned him as a strong candidate for the Best Researcher Award in the field of Computer Science.

🔍 Research Focus

Pengtao’s research is centered on ensuring the efficient scheduling and robust operation of aero-engine networked systems. His work addresses challenges such as model perturbation, external disturbances, and communication delays, offering innovative control strategies like sliding mode control (SMC), H∞ control, fuzzy control, and data-driven control. His findings enhance the response performance of complex engineering systems, making significant contributions to the field of control and automation.

🚀Conclusion

Pengtao Song is an emerging leader in the field of control science and automation, contributing cutting-edge solutions to complex engineering challenges. His research in robust control strategies for networked systems has been widely recognized in top-tier journals, making a significant impact in the domain. As he continues his Ph.D. journey, his work promises to drive advancements in intelligent control, cyber-physical systems, and industrial automation.

📚 Publications

Pengtao Song has published extensively in leading journals and conferences, contributing valuable insights into control science and automation. Some of his notable works include:

Disturbance-Compensation-Based Predictive Sliding Mode Control for Aero-Engine Networked Systems With Multiple Uncertainties IEEE Transactions on Automation Science and Engineering (2025)
DOI: 10.1109/TASE.2024.3350020

Charge or Pick Up? Optimizing E-Taxi Management: A Dual-Stage Heuristic Coordinated Reinforcement Learning Approach – IEEE Transactions on Automation Science and Engineering (2024)
DOI: 10.1109/TASE.2024.3486342

Model-free event-triggered resilient control for discrete-time nonlinear systems under sparse actuator attacks via GrHDP – Nonlinear Dynamics (2024)
DOI: 10.1007/s11071-024-10477-2

Observer-based H∞ Sliding Mode Control for Networked Systems with Stochastic Communication Protocol and Packet Loss14th Asian Control Conference (ASCC 2024)
EID: 2-s2.0-85205697035

TAMTL: A Novel Meta-Transfer Learning Approach for Fault Diagnosis of Rotating Machinery – 14th Asian Control Conference (ASCC 2024)
EID: 2-s2.0-85205678502

Fuzzy H∞ robust control for T-S aero-engine systems with network-induced factors under round-robin-like protocol – Aerospace Science and Technology (2023)
DOI: 10.1016/j.ast.2023.108258

Observer-based output feedback control for networked systems with dual-channel event-triggered sampling and quantization – Journal of the Franklin Institute (2022)
DOI: 10.1016/j.jfranklin.2022.07.042

Assist. Prof. Dr. Jianhui Wu | System Control | Best Researcher Award

Assist. Prof. Dr. Jianhui Wu | System Control | Best Researcher Award

Associate Professor, Hunan Institute of Science and Technology, China

Dr. Jianhui Wu is an accomplished Associate Professor at the Hunan Institute of Science and Technology, China. With a strong background in system control, optimization, and visual navigation, he has made significant contributions to the field of autonomous systems. His research focuses on advanced control technologies, particularly in multi-agent systems and obstacle avoidance. As an IEEE member, Dr. Wu actively collaborates with the scientific community, publishing impactful studies in high-ranking journals. His work is widely cited, showcasing his influence in the academic and industrial sectors.

Publication Profile

🎓 Education

Dr. Wu earned his Ph.D. from Changsha University of Science and Technology, China, in 2019. His doctoral research laid the foundation for his expertise in system control, signal processing, and visual navigation. His academic journey has been marked by a deep commitment to solving complex problems in autonomous systems and optimization.

💼 Experience

Currently serving as an Associate Professor, Dr. Wu is affiliated with the School of Information and Communication at Guilin University of Electronic Technology. Over the years, he has led several research projects funded by the Zhuang Autonomous Region, working on cutting-edge control mechanisms for autonomous multi-agent systems. His contributions span both theoretical advancements and practical applications in the fields of artificial intelligence, automation, and transportation optimization.

🏆 Awards and Honors

Dr. Wu’s work has been widely recognized, with multiple grants supporting his research in intelligent systems and control optimization. His research output has earned high citations in SCI-indexed journals, further cementing his reputation as a leading researcher in his domain.

🔬 Research Focus

Dr. Wu’s research primarily revolves around system control and optimization, visual navigation, and signal processing. His groundbreaking studies on multi-agent autonomous systems explore innovative flocking control mechanisms that enhance obstacle avoidance, navigation, and collaborative behaviors. His research has contributed to designing efficient, self-organizing, and adaptive autonomous systems, essential for advancements in robotics and artificial intelligence.

📌 Conclusion

Dr. Jianhui Wu is a dedicated researcher whose contributions to system control and multi-agent coordination continue to shape the future of automation and intelligent transportation. With numerous publications in top-tier journals and significant industry collaborations, his work is paving the way for smarter, more autonomous systems.

📚 Publications 

Fuzzy Flocking Control for Multi-Agents Trapped in Dynamic Equilibrium Under Multiple ObstaclesInternational Journal of Control, Automation and Systems, 2024 (DOI: 10.1007/s12555-022-0950-6)

Virtual-Leader Split/Rejoin-Based Flocking Control With Obstacle Avoidance for Multi-AgentsInternational Journal of Control, Automation and Systems, 2024 (DOI: 10.1007/s12555-022-0950-6)

Anonymous Flocking With Obstacle Avoidance via the Position of Obstacle Boundary PointIEEE Internet of Things Journal, 2024 (DOI: 10.1109/jiot.2024.3465881)

Obstacle Boundary Point and Expected Velocity-Based Flocking of Multiagents with Obstacle AvoidanceInternational Journal of Intelligent Systems, 2023 (DOI: 10.1155/2023/1493299)

Optimization Scheme of Fine Toll and Bus Departure Quantity for Bottleneck Congestion ManagementComplexity, 2021 (DOI: 10.1155/2021/5518502)

Optimization Scheme of Tradable Credits and Bus Departure Quantity for Travelers’ Travel Mode Choice GuidanceJournal of Advanced Transportation, 2020 (DOI: 10.1155/2020/6665161)

Price Regulation Mechanism of Travelers’ Travel Mode Choice in the Driverless Transportation NetworkJournal of Advanced Transportation, 2020 (DOI: 10.1155/2020/9191834)

Guidance Optimization of Travelers’ Travel Mode Choice Based on Fuel Tax Rate and Bus Departure Quantity in Two-Mode Transportation SystemJournal of Advanced Transportation, 2020 (DOI: 10.1155/2020/4190632)

A Day-to-Day Stochastic Traffic Flow Assignment Model Based on Mixed RegulationIEEE Access, 2020 (DOI: 10.1109/access.2019.2962864)

Robust Optimization of Sequence Decision in Urban Road ConstructionComputer Science, 2018

 

 

Han-Jui Chang | Mechatronics Engineering | Best Researcher Award

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.