Shuxian Lun | Image Classification | Excellence in Computer Vision Award

Prof. Shuxian Lun | Image Classification | Excellence in Computer Vision Award

Dean, School of Control Science and Engineering at Bohai University, China

Dr. Shuxian Lun is a distinguished researcher and academic affiliated with the College of Control Science and Engineering at Bohai University, China. His work spans several cutting-edge domains including artificial intelligence, image processing, fault detection, and new energy power generation technologies. With an impressive portfolio of over 90 SCI and EI-indexed publications, 22 authorized invention patents, and six published books, he has made substantial contributions to the fields of intelligent systems and automation. Dr. Lun has led four general projects and participated in a key project funded by the National Natural Science Foundation of China, demonstrating his leadership and national-level recognition. He also collaborates with researchers globally and is actively involved in consultancy and industry-linked research. As a member of IEEE and Elsevier’s academic networks, Dr. Lun maintains a strong presence in the global scientific community. His innovative mindset and multidisciplinary approach mark him as a leading figure in applied and theoretical research.

Professional Profile 

Education🎓

Dr. Shuxian Lun has built a strong educational foundation that supports his interdisciplinary research in artificial intelligence and computer vision. Although specific degree titles and universities are not detailed, his academic background has clearly equipped him with a deep understanding of control science, electrical engineering, and computational technologies. The breadth and depth of his research outputs—spanning artificial intelligence, fault detection, energy systems, and image processing—suggest rigorous graduate and postgraduate training in science and engineering. His extensive publication record, leadership in national-level projects, and innovation in applied technologies underscore a comprehensive educational journey that bridges theoretical knowledge and practical implementation. Furthermore, his successful authorship of six academic books and his role in mentoring complex R&D projects reflect his solid pedagogical foundation and academic maturity. Dr. Lun’s educational background, though not exhaustively specified, is evidently rooted in strong technical training and a commitment to continuous learning and innovation.

Professional Experience📝

Dr. Shuxian Lun has a prolific professional career as a professor and researcher at the College of Control Science and Engineering, Bohai University, China. His professional experience is marked by a strong record of academic leadership and innovation, particularly in the domains of artificial intelligence, image processing, and new energy systems. He has completed over 90 funded research projects, with two currently ongoing, and has led four general projects under the prestigious National Natural Science Foundation of China. Dr. Lun has also participated in a major key national research project and served as a consultant on five industry-oriented initiatives. His professional role involves supervising multidisciplinary research teams, developing novel technologies, and authoring books and patents. His work has culminated in the development of award-winning smart grid control systems and other technologies of national significance. These accomplishments highlight his capacity for high-impact applied research, academic mentoring, and industry collaboration.

Research Interest🔎

Dr. Shuxian Lun’s research interests lie at the intersection of artificial intelligence, image processing, fault detection, and new energy power generation technologies. He is particularly engaged in applying AI to intelligent control systems and computer vision problems, contributing to real-time monitoring, optimization, and safety in distributed energy networks. His work explores both theoretical algorithms and practical applications, including convolutional neural networks, rapid image recognition techniques, and fault-tolerant systems for smart grids. Dr. Lun also investigates the integration of AI with control engineering to enhance efficiency and reliability in power distribution systems. Furthermore, his involvement in over 90 research projects demonstrates a dynamic interest in advancing both the scientific and practical frontiers of his fields. His interdisciplinary approach enables the seamless integration of machine learning with fault diagnostics, safety assurance, and intelligent automation—areas that are pivotal for next-generation smart technologies and sustainable energy solutions.

Award and Honor🏆

Dr. Shuxian Lun has received multiple prestigious recognitions for his outstanding research and innovation. Notably, he was awarded the First Prize for Scientific and Technological Progress by the China Automation Society for the development of a “complete and practical active distribution network source network load optimization control equipment.” This award underscores the societal and industrial impact of his work in control systems and smart grids. Over the course of his career, he has presided over four general research projects and contributed to a major key project funded by the National Natural Science Foundation of China, showcasing his national-level research leadership. His innovations are further validated by the authorization of 22 invention patents and publication of 6 books. These accolades, combined with his active roles in consultancy and collaboration, reflect his influence not only within academic circles but also in shaping future-ready technologies across energy and automation sectors.

Research Skill🔬

Dr. Shuxian Lun possesses a robust and diverse set of research skills that underpin his excellence in engineering and computer science. He is proficient in the design and implementation of advanced artificial intelligence models, with a focus on computer vision, fault detection, and intelligent control systems. His technical expertise includes developing and optimizing deep learning architectures, processing high-dimensional image data, and engineering fault-tolerant systems for smart grids. He has a strong command of simulation tools, experimental design, and real-time system integration, which are crucial for applied research in control and automation. Dr. Lun also excels in academic writing, having published over 90 SCI/EI papers and 6 books, and in patent development, with 22 inventions to his name. His leadership in over 90 research projects and consultancy engagements illustrates his capacity to translate theoretical concepts into practical, impactful solutions. These capabilities make him a highly versatile and innovative researcher in multidisciplinary engineering domains.

Conclusion💡

Dr. Shuxian Lun is highly suitable for the Best Researcher Award, especially under the Computer Vision Excellence category. His research depth, innovation, national-level project leadership, and significant patent portfolio strongly reflect a top-tier research profile. With a sharper emphasis on core computer vision outcomes and citation impact in future applications, his candidacy would be even more compelling on an international stage.

Publications Top Noted✍

  • Adaptive Echo State Network with a Recursive Inverse‑Free Weight Update Algorithm
    Authors: Bowen Wang; Shuxian Lun; Ming Li; Xiaodong Lu; Tianping Tao
    Year: 2023
    Citations:

  • A New Explicit I–V Model of a Silicon Solar Cell Based on Chebyshev Polynomials
    Authors: Shu‑xian Lun; Ting‑ting Guo; Cun‑jiao Du
    Year: 2015

  • A Mahalanobis Hyperellipsoidal Learning Machine Class Incremental Learning Algorithm
    Authors: Yuping Qin; Hamid Reza Karimi; Dan Li; Shuxian Lun; Aihua Zhang
    Year: 2014

  • Preparation and Characterization of CdIn₂S₄ Wedgelike Thin Films
    Authors: Lina Zhang; Wei Zhang; Xiaodong Lu; Qiushi Wang; Xibao Yang; Libin Shi; Shuxian Lun
    Year: 2013

  • Preparation and Characterization of Cu₂ZnSnS₄ Thin Films by Solvothermal Method
    Authors: Wei Zhang; Lina Zhang; Xiaodong Lu; Qiushi Wang; Xibao Yang; Libin Shi; Shuxian Lun
    Year: 2013

  • Thermal Evaporation Synthesis and Properties of ZnO Nano/Microstructures Using Sn Reducing Agents
    Authors: Hang Lv; Xibao Yang; Xiaodong Lu; Boxin Li; Qiushi Wang; Lina Zhang; Wei Zhang; Shuxian Lun; Fan Zhang; Hongdong Li
    Year: 2013

  • Amorphous Silicon‑Assisted Self‑Catalytic Growth of FeSi Nanowires in Arc Plasma
    Authors: Qiushi Wang; Xiaodong Lu; Lina Zhang; Lv Hang; Wei Zhang; Yue Wang; Shuxian Lun
    Year: 2013

  • Design of GaAs Solar Cell Front Surface Anti‑Reflection Coating
    Authors: Tao Zhou; Xiaodong Lu; Shuxian Lun; Yuan Li; Ming Zhang; Chunxi Lu
    Year: 2013

  • Reflecting Filters Based on One Dimensional Photonic Crystal with Large Lattice Constant
    Authors: Xiaodong Lu; Shuxian Lun; Tao Zhou; Yuan Li; Chunxi Lu; Ming Zhang
    Year: 2013

 

Rui He | Computer Vision for Robotics and Autonomous Systems | Best Researcher Award

Dr . Rui He | Computer Vision for Robotics and Autonomous Systems | Best Researcher Award

Professor at National Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, China

Associate Professor He Rui is a prominent academic and researcher at the National Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University. With a specialized focus on advanced braking systems, autonomous driving technologies, and driver behavior analysis, he stands at the forefront of intelligent vehicle systems research. His career is marked by a strong integration of theoretical innovation and practical application, demonstrated through leadership in national and industrial research projects and the development of multiple patented technologies. Dr. He has published over 30 scholarly articles and holds more than 20 invention patents, showcasing a high level of scientific productivity and innovation. His guidance as a doctoral supervisor also reflects his deep commitment to nurturing future researchers in the field. Acknowledged for his contributions to visual perception, trajectory planning, and chassis-by-wire control, Dr. He Rui continues to drive transformative advancements in the evolving landscape of automotive engineering and intelligent mobility.

Professional Profile 

Education🎓

He Rui holds a robust academic background rooted in mechanical and automotive engineering, having pursued his higher education at esteemed institutions in China. He completed his undergraduate studies in vehicle engineering, laying a strong foundation in dynamics, control, and systems integration. He later obtained his Master’s and Doctoral degrees in automotive engineering, with a research focus on intelligent vehicle systems, including sensor-based perception and integrated chassis control. His doctoral work, in particular, explored advanced concepts in vehicle dynamics and control algorithms tailored to autonomous systems. Throughout his academic journey, Dr. He acquired a deep understanding of interdisciplinary technologies involving mechanical systems, computer vision, and artificial intelligence. His education reflects a well-rounded and comprehensive training that blends traditional automotive knowledge with emerging technologies, effectively preparing him to lead innovative research in smart mobility. His continuous pursuit of knowledge and research excellence positions him as a key figure in the automotive academic community.

Professional Experience📝

Dr. He Rui currently serves as an Associate Professor and doctoral supervisor at the National Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University. He has actively led and contributed to various research projects funded by the National Natural Science Foundation of China and major automotive companies such as Dongfeng Motor and SAIC Motor. His portfolio includes pivotal roles in projects related to chassis control, autonomous intelligent driving systems, and integrated modeling methods for electric vehicles. These engagements have enabled him to bridge academic research with industrial implementation. His career demonstrates a commitment to pushing the boundaries of automotive control technologies, especially in intelligent perception and driver-vehicle interaction. In addition to research, Dr. He plays a significant role in mentoring postgraduate students, contributing to curriculum development, and fostering interdisciplinary collaborations. His professional path reflects a balance of theoretical advancement and practical application in the field of intelligent automotive systems.

Research Interest🔎

Dr. He Rui’s research interests lie at the intersection of automotive engineering and intelligent systems. He is primarily focused on the development of advanced chassis-by-wire systems, visual perception for autonomous driving, and analysis of driver behavior for improved human-vehicle interaction. His work explores how artificial intelligence, computer vision, and dynamic control strategies can be integrated into vehicle systems to enhance safety, efficiency, and driving experience. He is particularly interested in intelligent trajectory planning and how vehicles can autonomously adapt to real-world driving conditions using data-driven models. Another major research thrust involves understanding and modeling driver behavior under extreme conditions, such as tire blowouts or sudden braking, to improve control algorithms. These diverse interests underscore his commitment to solving critical challenges in the transition toward intelligent and autonomous mobility. Dr. He’s multidisciplinary approach has led to impactful research that supports both theoretical exploration and real-world implementation.

Award and Honor🏆

While specific awards and honors have not been listed in the profile, Dr. He Rui’s achievements speak to a high level of professional recognition. His leadership in multiple nationally funded research projects and industry collaborations with top automotive manufacturers such as Dongfeng and SAIC reflect his esteemed status in the field. He has authored more than 30 peer-reviewed papers and holds over 20 invention patents, demonstrating consistent innovation and contribution to automotive technology. His position as a doctoral supervisor and associate professor at a prestigious institution like Jilin University further reinforces his academic credibility. It’s highly likely that he has received institutional accolades, commendations from industry partners, and recognition for his research outputs. These accomplishments collectively underscore a career marked by excellence, leadership, and a strong impact on the advancement of intelligent vehicle systems. Further formal honors would only enhance an already distinguished academic and research profile.

Research Skill🔬

Dr. He Rui possesses an impressive set of research skills that span across automotive engineering, intelligent control systems, and artificial intelligence. His expertise in chassis-by-wire technologies allows him to design and develop next-generation braking and steering systems with high reliability and precision. He has strong capabilities in computer vision and sensor fusion, which are essential for enabling autonomous vehicle perception. Dr. He is also proficient in developing and applying advanced control algorithms for vehicle trajectory planning, especially under uncertain or complex driving conditions. He excels in integrating experimental testing with simulation environments, supporting both theoretical research and applied development. His skills include modeling driver behavior using machine learning techniques and incorporating it into vehicle control strategies. Furthermore, he has proven experience in leading large-scale research projects, writing scientific publications, and filing patents. These comprehensive research abilities make him a valuable contributor to the evolution of intelligent transportation technologies.

Conclusion💡

He Rui is a highly suitable candidate for the Best Researcher Award, particularly in fields such as automotive innovation, autonomous systems, and intelligent control technologies. His project leadership, prolific output, and patent record strongly support his candidacy. With further emphasis on international exposure and societal narratives, his profile would be even more competitive at global award levels.

Publications Top Noted✍

  • Title: Research on vehicle trajectory prediction methods in dense and heterogeneous urban traffic
    Authors: Sumin Zhang, Ri Bai, Rui He, Zhiwei Meng, Yupeng Chang, Yongshuai Zhi
    Year: 2025
    Citation: Transportation Letters, DOI: 10.1080/19427867.2024.2403818

  • Title: Research on Vehicle Trajectory Prediction Methods in Urban Main Road Scenarios
    Authors: Sumin Zhang, Ri Bai, Rui He, Zhiwei Meng, Yupeng Chang, Yongshuai Zhi, Ning Sun
    Year: 2024
    Citation: IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/tits.2024.3419037

  • Title: A skip feature enhanced multi-source fusion framework for switch state detection
    Authors: Sumin Zhang, Ri Bai, Rui He, Zhiwei Meng, Yongshuai Zhi
    Year: 2024
    Citation: International Journal of Rail Transportation, DOI: 10.1080/23248378.2024.2372729

  • Title: Decision-making of active collision avoidance system based on comprehensive evaluation method of dangerous scenarios
    Authors: Rui He, Zhiwei Meng, Sumin Zhang, Zhi Yang, Yongshuai Zhi, Jiaxiang Qin
    Year: 2024
    Citation: Journal of Automobile Engineering, DOI: 10.1177/09544070221137398

  • Title: IDPNet: a light-weight network and its variants for human pose estimation
    Authors: Huan Liu, Jian Wu, Rui He
    Year: 2024
    Citation: The Journal of Supercomputing, DOI: 10.1007/s11227-023-05691-5

  • Title: Skeleton-based multi-stream adaptive-attentional sub-graph convolution network for action recognition
    Authors: Huan Liu, Jian Wu, Haokai Ma, Yuqi Yan, Rui He
    Year: 2024
    Citation: Multimedia Tools and Applications, DOI: 10.1007/s11042-023-15778-z

  • Title: LEES-Net: Fast, lightweight unsupervised curve estimation network for low-light image enhancement and exposure suppression
    Authors: Xuanhe Li, Rui He, Jian Wu, Hu Yan, Xianfeng Chen
    Year: 2023
    Citation: Displays, DOI: 10.1016/j.displa.2023.102550

  • Title: GIVA: Interaction-aware trajectory prediction based on GRU-Improved VGG-Attention Mechanism model for autonomous vehicles
    Authors: Zhiwei Meng, Rui He, Jiaming Wu, Sumin Zhang, Ri Bai, Yongshuai Zhi
    Year: 2023
    Citation: Journal of Automobile Engineering, DOI: 10.1177/09544070231207669

  • Title: Center point to pose: Multiple views 3D human pose estimation for multi-person
    Authors: Huan Liu, Jian Wu, Rui He
    Year: 2022
    Citation: PLOS ONE, DOI: 10.1371/journal.pone.0274450

  • Title: Monocular Vision SLAM Research for Parking Environment with Low Light
    Authors: Sumin Zhang, Yongshuai Zhi, Shouyi Lu, Ze Lin, Rui He
    Year: 2022
    Citation: International Journal of Automotive Technology, DOI: 10.1007/s12239-022-0063-5

  • Title: Speed and Accuracy Tradeoff for LiDAR Data Based Road Boundary Detection
    Authors: Guojun Wang, Jian Wu, Rui He, Bin Tian
    Year: 2021
    Citation: IEEE/CAA Journal of Automatica Sinica, DOI: 10.1109/jas.2020.1003414