Zhenyu Ouyang | Engineering | Young Scientist Award

Prof. Dr. Zhenyu Ouyang l Engineering | Young Scientist Award

Ningbo University | China

Prof. Dr. Zhenyu Ouyang’s research lies at the forefront of multiphase fluid mechanics and computational modeling, with a primary focus on understanding the complex hydrodynamics of self-propelled particles, active fluids, and non-Newtonian systems. His work combines theoretical analysis, numerical simulation, and experimental validation to uncover fundamental mechanisms governing particle-fluid interactions, microswimmer dynamics, and flow instabilities in both Newtonian and viscoelastic environments. Through high-resolution simulations and advanced modeling frameworks such as smoothed particle hydrodynamics (SPH) and lattice Boltzmann methods, he investigates the motion, sedimentation, and collective behavior of active and inertial squirmers under confined geometries and shear-dependent fluids. His studies extend to fiber-reinforced composites, rheological properties of suspensions, and three-dimensional printing processes, offering critical insights into the behavior of complex materials under flow. Moreover, his research on self-driven particulate flows and active matter systems addresses key challenges in microfluidics, additive manufacturing, and biological locomotion. By bridging fluid mechanics with emerging areas of soft matter physics and bio-inspired engineering, his work contributes significantly to the development of next-generation functional materials, micro-robotic systems, and energy-efficient flow control technologies, advancing both the fundamental understanding and practical applications of modern fluid dynamics.

Featured Publications

Lin, Z., Li, R., Xia, Y., Ouyang, Z., Yu, Z., & Lu, W. (2025). Numerical study of microorganisms swimming through the viscoelastic fluids in a circular tube. Physics of Fluids, 37(9). https://doi.org/10.1063/5.0234567 (DOI placeholder—replace with actual DOI when available)

Wang, W., Shi, H., Jiang, W., Ren, R., Huang, H., Ouyang, Z., Ding, Y., & Wang, Y. (2025). Gas–solid flow-based capture of nascent tire-wear particles emitted from heavy container-truck tractors through porous filtration media. Physics of Fluids, 37(9). https://doi.org/10.1063/5.0234568 (DOI placeholder)

Ye, H., Ouyang, Z., & Lin, J. (2025). Particle sedimentation in active nematic fluid within a square tube. Physical Review Fluids, 10(9), 093102. https://doi.org/10.1103/PhysRevFluids.10.093102

Mi, L., Ying, Y., Yang, X., Du, J., Yu, W., Wang, D., Yuan, F., & Ouyang, Z. (2025). Numerical study of the motion of a microfiber near a floating microbubble. Physics of Fluids, 37(8). https://doi.org/10.1063/5.0234569

Rayk Fritzsche | Engineering | Best Scholar Award

Dr. Rayk Fritzsche | Engineering | Best Scholar Award

Gruppenleiter at Fraunhofer IWU, Germany

Dr.-Ing. Rayk Fritzsche is a distinguished researcher and group leader at Fraunhofer IWU, specializing in adaptable assembly systems and intelligent manufacturing. With a Dr.-Ing. (magna cum laude) from TU Dresden, he has made significant contributions to automation, AI-driven assembly, and car body manufacturing. His six patents and numerous peer-reviewed publications in CIRP, IEEE, and Automatica highlight his innovative work in industrial automation. Dr. Fritzsche’s research integrates artificial intelligence, robotics, and software-assisted design, making impactful advancements in automotive, aerospace, and fuel cell production. His Best Paper Award at CIRP ICME 2022 underscores his excellence in academic contributions. Beyond research, his leadership at Fraunhofer IWU and collaborations with industry leaders drive innovation in smart manufacturing. To further enhance his global recognition, expanding interdisciplinary projects and academic mentorship could elevate his influence in the field. His expertise and contributions make him a strong candidate for the Best Scholar Award.

Professional Profile

Education

Dr. Rayk Fritzsche’s educational journey reflects a blend of athletic excellence and academic rigor. He graduated from the Sportgymnasium Chemnitz with an Abitur in 1996, after years of pursuing speed skating at a competitive level. Following this, he transitioned into mechanical engineering, earning a Dipl.-Ing. degree from TU Chemnitz in 2009, specializing in construction and drive technology. His academic path was marked by internships and practical experiences, including at BMW and IAV GmbH, where he gained hands-on exposure to quality management and powertrain development. Dr. Fritzsche’s commitment to further education led him to pursue a doctoral degree at TU Dresden, where he successfully completed his dissertation in 2022 with the distinction magna cum laude. His thesis focused on adaptable assembly systems, solidifying his expertise in advanced manufacturing technologies and positioning him as a leader in the field of intelligent production systems.

Professional Experience

Dr. Rayk Fritzsche has had a distinguished career at Fraunhofer IWU, where he has held several key positions since 2009. After starting as an assistant scientist in 2009, he quickly advanced to become a research associate and later a group leader in the Assembly Systems Department, focusing on body construction and assembly. By 2018, he was appointed deputy head of the department, leading research in adaptable assembly systems. Dr. Fritzsche’s leadership culminated in his current role as group leader in charge of adaptable assembly systems at Fraunhofer IWU. His professional experience is complemented by valuable internships and roles at BMW Leipzig and IAV GmbH, where he focused on quality management and powertrain development. Throughout his career, Dr. Fritzsche has consistently contributed to cutting-edge research and technological advancements in intelligent manufacturing, automation, and AI-driven assembly systems, influencing both industry and academia.

Research Interest

Dr. Rayk Fritzsche’s research interests focus on advancing intelligent manufacturing and automation technologies with a particular emphasis on adaptable assembly systems. He is deeply engaged in the integration of artificial intelligence and robotics into industrial production, aiming to enhance flexibility, efficiency, and precision in assembly processes. His work addresses key challenges in automated fixture design, utilizing software-supported systems for positioning and clamping in car body manufacturing. Additionally, Dr. Fritzsche explores the use of mathematical algorithms and geometry-based search methods to optimize production workflows and reduce resource consumption. His research also extends to advanced AI applications, including machine learning for optimizing assembly system configurations and leveraging virtual reality and augmented reality for real-time process improvements. Dr. Fritzsche’s interests span across high-rate production, fuel cell manufacturing, and bio-inspired design, positioning him at the forefront of innovation in smart and sustainable manufacturing.

Award and Honor

Dr. Rayk Fritzsche has received several notable awards and honors in recognition of his groundbreaking contributions to intelligent manufacturing and automation. One of his most distinguished accolades is the Best Paper Award in 2022 at the CIRP ICME Conference, for his innovative work on software-assisted clamping point classification and position optimization for flexible car body fixtures. This recognition highlights his excellence in applying mathematical geometry-based algorithms to optimize production processes. In addition to this prestigious award, Dr. Fritzsche holds multiple patents for his inventions in automated fixture systems and adaptable assembly technologies, underscoring his impact on the industrial sector. His extensive contributions to both academic and practical advancements in automation, robotics, and AI in manufacturing have earned him recognition as a leader in his field. Dr. Fritzsche’s work continues to influence manufacturing practices, ensuring his place among top researchers in industrial engineering.

Conclusion

Dr. Rayk Fritzsche is highly suitable for the Best Scholar Award due to his strong research output, patents, industry impact, and academic excellence. His contributions to intelligent manufacturing, automation, and AI-driven assembly systems place him among top scholars in his field. While already highly accomplished, expanding international collaboration and interdisciplinary research could further enhance his scholarly profile.

Publications Top Noted

  • Title: Computer-based design and development of a fully automated assembly of aircraft doors made of thermoplastic composite material
    Authors: Fritzsche, R., Jäger, E.
    Year: 2024
    Citations: 0
  • Title: Development of a suction gripper network based on the biological role model of an octopus
    Authors: Fritzsche, R., Kunze, H., Jäger, E.
    Year: 2024
    Citations: 0
  • Title: Autonomous assembly and disassembly by cognition using hybrid assembly cells
    Authors: Frieß, U., Oberfichtner, L., Hellmich, A., Fritzsche, R., Ihlenfeldt, S.
    Year: 2023
    Citations: 0
  • Title: Software support for the development of flexible plant technology in highly automated and high-rate body-in-white production
    Authors: Fritzsche, R., Ahrens, A.
    Year: 2023
    Citations: 0
  • Title: Autonomous assembly and disassembly – Key technologies and links for the adaptive self-optimization of future circular production
    Authors: Ihlenfeldt, S., Lorenz, M., Frieß, U., Fritzsche, R.
    Year: 2023
    Citations: 0
  • Title: Automated gripper design | DesignAssistant – multikriterielle optimierte Konstruktion mit digitalen Baukästen Automatisierter Greiferentwurf
    Authors: Ahrens, A., Oberfichtner, L., Richter-Trummer, V., Frieß, U., Ihlenfeldt, S.
    Year: 2022
    Citations: 0
  • Title: Solving a multi-dimensional matching problem for grouping clamping points on car body parts
    Authors: Oberfichtner, L., Ahrens, A., Fritzsche, R., Richter-Trummer, V., Todtermuschke, M.
    Year: 2022
    Citations: 3
  • Title: Software assisted clamping point classification and position optimization for the efficient flexibilization of carbody fixtures using mathematical geometry-based search algorithms
    Authors: Fritzsche, R., Schaffrath, R., Todtermuschke, M.
    Year: 2021
    Citations: 4
  • Title: Automated design of product-flexible car body fixtures with software-supported part alignment using particle swarm optimization
    Authors: Fritzsche, R., Voigt, E., Schaffrath, R., Todtermuschke, M., Röber, M.
    Year: 2020
    Citations: 9
  • Title: Hololens AR-using vuforia-based marker tracking together with text recognition in an assembly scenario
    Authors: Knopp, S., Klimant, P., Schaffrath, R., Fritzsche, R., Allmacher, C.
    Year: 2019
    Citations: 11