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

Michael Koch | Robotics | Best Researcher Award

Prof . Dr . Michael Koch | Robotics | Best Researcher Award

Professor at Technische Hochschule Nürnberg, Germany

Prof. Dr.-Ing. Dipl.-Wirt.-Ing. Michael Koch is a distinguished German academic and research professor in mechanical engineering with a robust focus on engineering design, simulation technologies, and additive manufacturing. Currently serving as Vice Dean and Professor at Technische Hochschule Nürnberg Georg Simon Ohm, he has over 20 years of experience in academia and industry. His research integrates innovative technologies like augmented reality, motion capture, and cyber-physical systems to optimize design processes and intelligent manufacturing systems. He has published extensively in high-impact conferences and journals, and he actively leads curriculum and academic initiatives in engineering education. As a certified Six Sigma Black Belt and a key user of PTC CREO Parametric, Prof. Koch demonstrates a blend of theoretical depth and industrial pragmatism. His contributions toward intuitive robot programming, knowledge-based simulation, and 3D geometry integration in product development make him a prominent figure in Germany’s mechanical engineering research landscape.

Professional Profile 

Education🎓F

Prof. Michael Koch has a strong academic foundation combining mechanical engineering and industrial engineering. He earned his Dr.-Ing. (Ph.D.) in Engineering Design from Friedrich-Alexander University Erlangen-Nuremberg in 2005 with the distinction of “very good.” His doctoral work laid the groundwork for his later research in design optimization and simulation integration. He previously completed a Diploma in Mechanical Engineering (Dipl.-Ing.) from the same university in 2000, specializing in design and computation with an excellent academic grade (1.8). Complementing his technical background, he pursued a Diploma in Industrial Engineering (Dipl.-Wirt.-Ing.) at the University of Hagen (2001–2004), focusing on marketing and human resources, which reflects his interdisciplinary strengths. This combination of design engineering and business-oriented knowledge has enabled him to lead academic programs and collaborate effectively with the manufacturing industry. His diverse academic trajectory supports his holistic approach to innovation in both engineering education and applied research.

Professional Experience📝

Prof. Koch’s professional journey spans both academic excellence and industry leadership. He has been a Professor at Technische Hochschule Nürnberg Georg Simon Ohm since 2009, where he teaches engineering design and machine parts and serves as the Vice Dean and Head of the Master’s Program in Mechanical Engineering. He has played a pivotal role in curriculum design and quality assurance within the faculty. Before transitioning fully into academia, he worked at Schaeffler Technologies GmbH & Co. KG (2005–2009) in the special machines department, where he managed key industrial projects. Earlier in his career, he served as a scientific assistant at Friedrich-Alexander University Erlangen-Nuremberg, contributing to engineering research and instruction. Prof. Koch also holds certifications like Six Sigma Black Belt and Key User of PTC CREO Parametric, underscoring his practical orientation. His combined industry-academic experience uniquely positions him as a leader in engineering innovation and applied research.

Research Interest🔎

Prof. Koch’s research interests lie at the intersection of engineering design, additive manufacturing, simulation technologies, and robotics. His work frequently explores knowledge-based design methods, real-geometry integration in simulations, and intuitive user interfaces for robotic applications. He is particularly interested in optimizing design and manufacturing processes through augmented reality, motion capture, and cyber-physical systems. His studies also delve into reverse engineering, finite element (FE) simulations using real 3D-scanned data, and product development driven by simulation and automation. Prof. Koch aims to bridge the gap between idealized models and real-world manufacturing variances, improving accuracy and efficiency in digital engineering. His interdisciplinary approach integrates mechanical engineering, human-computer interaction, and data-driven decision-making, resulting in innovations that benefit both academia and industry. His research significantly contributes to smart manufacturing, lightweight design, and automation in production, making him a key figure in the advancement of intelligent engineering systems.

Award and Honor🏆

While Prof. Michael Koch’s CV does not list formal awards or honors explicitly, his distinguished academic positions and repeated invitations to present at international conferences reflect peer recognition of his expertise. His appointment as Vice Dean and Research Professor at Technische Hochschule Nürnberg, along with his leadership in curriculum development and examination boards, underscores the institutional trust placed in him. He has been a consistent contributor to high-impact events such as IFAC Workshops, ISR, Sim-AM, ICED, and the Design for X Symposium, where his papers have been accepted for both presentation and publication—an honor in the global research community. His certification as a Six Sigma Black Belt and designation as a Key User of industry-standard CAD tools (PTC CREO) also highlight his professional credibility. These roles and participations collectively showcase a career marked by excellence, leadership, and sustained contributions to both research and education in mechanical engineering.

Research Skill🔬

Prof. Koch demonstrates a comprehensive set of research skills across simulation, design, modeling, and experimental validation. He excels in integrating real 3D geometry data into simulations, thereby enhancing the accuracy of engineering analyses. His ability to combine parametric CAD modeling with finite element methods (FEM) enables more realistic structural assessments. He is skilled in developing cyber-physical systems, utilizing augmented reality for robot programming, and implementing motion capture technologies for intuitive control interfaces. Prof. Koch also possesses strong capabilities in knowledge-based simulation frameworks, making product development processes more efficient and intelligent. His certification in Six Sigma demonstrates his proficiency in process optimization and quality control, and his work often bridges the gap between academic theories and industrial applications. Proficient in engineering software like PTC CREO Parametric, he brings both depth and versatility to his projects. These research skills collectively establish his expertise in designing cutting-edge, applied engineering solutions.

Conclusion💡

Prof. Dr.-Ing. Michael Koch is highly suitable for the Best Researcher Award based on his:

  • Depth of domain knowledge,

  • Multidisciplinary research footprint,

  • Educational leadership,

  • Technical innovations in engineering design, simulation, and additive manufacturing.

His work bridges academic rigor and industry relevance, and he has made consistent, innovative contributions to mechanical engineering and product development.

With additional international collaboration and visibility in global rankings or research grants, he would further elevate his candidacy for top-tier global research honors.

Publications Top Noted✍

  1. Title: Expression and functions of transmembrane mucin MUC13 in ovarian cancer
    Authors: SC Chauhan, K Vannatta, MC Ebeling, N Vinayek, A Watanabe, MD Koch, et al.
    Year: 2009
    Citations: 149

  2. Title: MUC13 mucin augments pancreatic tumorigenesis
    Authors: SC Chauhan, MC Ebeling, DM Maher, MD Koch, A Watanabe, et al.
    Year: 2012
    Citations: 110

  3. Title: Identification of an essential Caulobacter crescentus gene encoding a member of the Obg family of GTP-binding proteins
    Authors: J Maddock, A Bhatt, M Koch, J Skidmore
    Year: 1997
    Citations: 71

  4. Title: Increased expression and aberrant localization of mucin 13 in metastatic colon cancer
    Authors: BK Gupta, DM Maher, MC Ebeling, V Sundram, MD Koch, DW Lynch, et al.
    Year: 2012
    Citations: 54

  5. Title: Combined staining of TAG-72, MUC1, and CA125 improves labeling sensitivity in ovarian cancer
    Authors: SC Chauhan, N Vinayek, DM Maher, MC Bell, KA Dunham, MD Koch, et al.
    Year: 2007
    Citations: 42

  6. Title: Design for X
    Authors: H Meerkamm, M Koch
    Year: 2005
    Citations: 33

  7. Title: Intuitive welding robot programming via motion capture and augmented reality
    Authors: F Mueller, C Deuerlein, M Koch
    Year: 2019
    Citations: 23

  8. Title: Innovative extruder concept for fast and efficient additive manufacturing
    Authors: R Löffler, M Koch
    Year: 2019
    Citations: 20

  9. Title: Integrating optical 3D measurement techniques in pipe bending: a model-based approach
    Authors: S Katona, M Lušić, M Koch, S Wartzack
    Year: 2016
    Citations: 19

  10. Title: The neuro-linguistic programming treatment approach
    Authors: C Zastrow, V Dotson, M Koch
    Year: 1987
    Citations: 16

  11. Title: Cyber-physical-system for representing a robot end effector
    Authors: F Müller, C Deuerlein, M Koch
    Year: 2021
    Citations: 15

  12. Title: Trace component removal in CO2 removal processes by means of a semipermeable membrane
    Authors: JK Bockman, M Koch
    Year: 2016 (US Patent)
    Citations: 15

  13. Title: Robot guided computed tomography—production monitoring in automotive industry 4.0
    Authors: A Ziertmann, P Jahnke, S Kerscher, M Koch, W Holub
    Year: 2020
    Citations: 12

  14. Title: Microstructure of the HMX‐Based PBX KS32 after Mechanical Loading
    Authors: M Herrmann, U Förter‐Barth, MA Bohn, H Krause, M Koch, W Arnold
    Year: 2015
    Citations: 12

  15. Title: PM10 source apportionment at three urban background sites in the western Ruhr-area, Germany
    Authors: TAJ Kuhlbusch, U Quass, M Koch, H Fissan, P Bruckmann, U Pfeffer
    Year: 2004
    Citations: 12

  16. Title: Method and system for reducing energy requirements of a CO2 capture system
    Authors: JP Naumovitz, M Koch
    Year: 2014 (US Patent)
    Citations: 10

  17. Title: Process gas treatment system
    Authors: PU Koss, M Koch, JP Naumovitz
    Year: 2014 (US Patent)
    Citations: 10

  18. Title: Reverse Engineering – Prozess, Technologien und Anwendungsfälle
    Authors: S Katona, M Koch, S Wartzack
    Year: 2014
    Citations: 9

  19. Title: POEAM – a method for the part orientation evaluation for additive manufacturing
    Authors: S Jung, S Peetz, M Koch
    Year: 2019
    Citations: 7

  20. Title: Long-term primary culture of a clear cell ovarian carcinoma reveals an epithelial–mesenchymal cooperative interaction
    Authors: AA Goyeneche, M Koch, MC Bell, CM Telleria
    Year: 2015
    Citations: 7

Prof Dr. Jong-Chen Chen | Robotic Rehabilitation | Best Researcher Award

Prof Dr. Jong-Chen Chen | Robotic Rehabilitation | Best Researcher Award

Jong-Chen Chen at National Yunlin University of Science and Technology, Taiwan

Profiles

Scopus

Orcid

Summary

Prof. Dr. Jong-Chen Chen is a prominent researcher and Full Professor in the Department of Information Management at National Yunlin University of Science and Technology, Taiwan, with a focus on innovative applications of neuromolecular models in robotics and computation.

Education

  • M.S. in Computer Science and Electrical Engineering
    University of Texas at Arlington (1986)
  • Ph.D. in Computer Science
    Wayne State University (1993)

💼 Professional Experience

Full Professor
Department of Information Management, National Yunlin University of Science and Technology (2000 – Present)

🔬 Research Interests

  • Evolvable Hardware
  • Brain-like Computer Simulation
  • Ecosystem Simulation
  • Bio-computing & Artificial Life
  • Molecular Electronics
  • Evolutionary Computation & Genetic Programming
  • Pattern Recognition

 

Publications

Application of Artificial Neuromolecular System in Robotic Arm Control to Assist Progressive Rehabilitation for Upper Extremity Stroke Patients

  • Authors: Jongchen Chen; Hao-Ming Cheng
  • Journal: Actuators
  • Year: 2024

Applying an Artificial Neuromolecular System to the Application of Robotic Arm Motion Control in Assisting the Rehabilitation of Stroke Patients—An Artificial World Approach

  • Authors: Jong-Chen Chen; Hao-Ming Cheng
  • Journal: Biomimetics
  • Year: 2023

Bridging the Finger-Action Gap between Hand Patients and Healthy People in Daily Life

  • Authors: Chen, Jong-Chen
  • Journal: Biomimetics
  • Year: 2023

Using Artificial Neuro-Molecular System in Robotic Arm Motion Control-Taking Simulation of Rehabilitation as an Example

  • Authors: Chen, Jong-Chen
  • Journal: Sensors
  • Year: 2022

Effectiveness of Companion Robot Care for Dementia: A Systematic Review and Meta-Analysis

  • Authors: Li-Chin Lu; Shao-Huan Lan; Yen-Ping Hsieh; Long-Yau Lin; Shou-Jen Lan; Jong-Chen Chen
  • Journal: Innovation in Aging
  • Year: 2021