Bernd Bachert | Korrosionsschutz | Best Researcher Award

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Dr.  DHBW Mosbach, Germany

With a robust academic background in Mechanical Engineering, including a Doctorate from Darmstadt University of Technology, this individual has amassed extensive experience in academia and industry. They have served as a professor, dean, and director across various institutions, playing a pivotal role in developing and accrediting numerous engineering study programs. Their expertise extends to fluid mechanics, thermodynamics, and materials science. They also lead research in mechanical engineering and renewable energy, contributing significantly to education and innovation. As CEO of IRATEC GmbH, they combine academic rigor with practical industry insights, making them a highly accomplished professional in their field.

Professional Profiles:

Scopus

Education 🎓

February 1982 – June 1987: Secondary School Neckargemünd Qualification: GCSE August 1987 – February 1991: Training at Eltro GmbH, Heidelberg
Qualification: Precision Mechanic August 1991 – June 1992: Johannes-Gutenberg-Schule, Heidelberg Qualification: Technical Diploma (Fachhochschulreife) September 1992 – January 1997: University of Applied Sciences Mannheim, Faculty of Mechanical Engineering Qualification: Graduate Engineer in Mechanical Engineering (FH) October 1997 – April 2000: Darmstadt University of Technology, Faculty of Mechanical Engineering Qualification: Graduate Engineer in Mechanical Engineering June 2000 – December 2003: Doctoral Thesis at Darmstadt University of Technology, Faculty of Mechanical Engineering Qualification: Doctor of Mechanical Engineering (Dr.-Ing.)

Work Experience 💼

February 1991 – August 1991: Wolfgang Bortz Zerspanungstechnik GmbH Function: Programming of CNC Machines January 1997 – June 1999: Assistant Professor at BFZ Nürnberg January 1997 – December 1997: KDK Kalibrierdienst Kopp GmbH (Calibration Service) Function: Handling of problems in quality assurance and quality management October 1997 – April 2000: Assistant Professor at Abendakademie Mannheim and DaimlerChrysler Training Center Mannheim Lecture: Fluid Mechanics

Evaluation of the Candidate for the Best Researcher Award

Strengths:

  1. Extensive Academic Background:
    • The candidate has a solid educational foundation in mechanical engineering, with qualifications ranging from a Technical Diploma to a Doctorate in Mechanical Engineering (Dr.-Ing.). This extensive academic background supports their credibility and expertise in the field.
  2. Diverse Work Experience:
    • The candidate has a wealth of experience across various roles, including positions as an assistant professor, director, professor, and head of departments. Their roles have spanned multiple institutions and responsibilities, indicating a strong capacity for leadership and innovation in both academia and industry.
  3. Leadership and Management Skills:
    • The candidate has held significant leadership positions, such as Director of the Heidelberg Institute for Applied Research and Development, Professor and Dean at SRH University, and Head of Mechanical Engineering at DHBW Mosbach. These roles highlight their ability to lead and manage academic and research initiatives effectively.
  4. Contributions to Education:
    • The candidate has been instrumental in developing and accrediting various study programs, including Bachelor’s and Master’s degrees in Mechanical Engineering and Industrial Engineering. Their work in creating didactical training and education programs for national and international partners showcases their dedication to advancing education in engineering.
  5. Research Contributions:
    • The candidate has engaged in several research projects in areas such as Mechanical Engineering, Water Power Engineering, and Dual Education. Their authorship of various scientific publications further underscores their contributions to research and knowledge dissemination.
  6. International Experience and Collaboration:
    • As the Head of the International Office at DHBW Mosbach, the candidate has demonstrated a commitment to fostering international collaborations and expanding the global reach of their institution.
  7. Industry Engagement:
    • The candidate’s part-time role as CEO of IRATEC GmbH, coupled with their experience in consulting and renewable energy engineering, illustrates a strong connection between their academic work and practical, real-world applications.

Areas for Improvement:

  1. Focused Research Output:
    • While the candidate has a broad range of experience, a more focused research output in a specific area of mechanical engineering might strengthen their candidacy for a Best Researcher Award. Concentrating on one niche could lead to more impactful publications and a stronger reputation in that domain.
  2. Innovation and Patents:
    • The candidate’s profile could be further enhanced by showcasing any patents or innovative technologies they may have developed. Highlighting these achievements would emphasize their contributions to the advancement of mechanical engineering.
  3. Recent Research Activity:
    • Emphasizing more recent and cutting-edge research activities would demonstrate continued relevance and engagement with current trends in mechanical engineering. If recent high-impact publications or projects are not prominent, focusing on these could be beneficial.

 

✍️Publications Top Note :

Time-dependent measurements of cavitation damage
Authors: Osterman, A., Bachert, B., Sirok, B., Dular, M.
Journal: Wear, 2009, 266(9-10), pp. 945–951
Citations: 29

Comparison of different methods for the evaluation of cavitation damaged surfaces
Authors: Bachert, B., Ludwig, G., Stoffel, B., Baumgarten, S.
Conference: Proceedings of the American Society of Mechanical Engineers Fluids Engineering Division Summer Conference, 2005, 2, pp. 553–560, FEDSM2005-77368
Citations: 1

Comparison of different methods for the evaluation of cavitation damaged surfaces
Authors: Bachert, B., Stoffel, B., Ludwig, G., Baumgarten, S.
Conference: Proceedings of 2005 ASME Fluids Engineering Division Summer Meeting, FEDSM2005, 2005, pp. 2111–2118
Citations: 7

Relationship between cavitation structures and cavitation damage
Authors: Dular, M., Bachert, B., Stoffel, B., Širok, B.
Journal: Wear, 2004, 257(11), pp. 1176–1184
Citations: 249

Experimental investigations concerning erosive aggressiveness of cavitation at different test configurations
Authors: Bachert, B., Dular, M., Baumgarten, S., Ludwig, G., Stoffel, B.
Conference: Proceedings of the ASME Heat Transfer/Fluids Engineering Summer Conference 2004, HT/FED 2004, 3, pp. 733–743, HT-FED04-56597
Citations: 5

Experimental investigations concerning influences on cavitation inception at an axial test pump
Authors: Bachert, B., Brunn, B., Stoffel, B.
Conference: Proceedings of the ASME/JSME Joint Fluids Engineering Conference, 2003, 2 A, pp. 249–256
Citations: 5

The influence of cavitation structures on the erosion of a symmetrical hydrofoil in a cavitation tunnel
Authors: Širok, B., Dular, M., Novak, M., Ludwig, G., Bachert, B.
Journal: Strojniski Vestnik/Journal of Mechanical Engineering, 2002, 48(7), pp. 368–378
Citations: 13

Conclusion:

The candidate is a strong contender for the Best Researcher Award due to their extensive academic qualifications, leadership experience, and contributions to education and research. Their background in mechanical engineering is complemented by significant roles in academia and industry, making them a well-rounded and influential figure in the field. To enhance their candidacy, they could focus on a more specialized area of research, highlight any innovative contributions, and ensure their recent research activities are at the forefront of their application.

Xiangyan Zhang | wafer defect detection | Best Researcher Award

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Dr. Xiangyan Zhang | wafer defect detection | Best Researcher Award

Dr. Beijing University of Posts and Telecommunications , China

Xiangyan Zhang, a Ph.D. student at the School of Intelligent Engineering and Automation, Beijing University of Posts and Telecommunications, has a robust academic background with a Master of Engineering degree from Beijing University of  Science and Technology (2023). His research focuses on wafer defect detection and machine vision, with significant contributions including DMWMNet, a dual-branch multi-level convolutional network achieving high performance in wafer map defect detection. Zhang has published 4 SCI papers, 2 EI conference papers, holds 2 invention patents, and 3 software copyrights. He collaborates with the China Academy of Engineering Physics

 

Professional Profiles:

Orcid

Academic and Professional Background 📚👩‍🎓

In June 2023, I was awarded a Master of Engineering degree from Beijing University of Science and Technology, and in September 2023, I commenced my Ph.D. studies at Beijing University of Posts and Telecommunications. To date, I have published 4 SCI papers, 2 EI conference papers, granted 2 invention patents, and obtained 3 software copyrights.

Research and Innovations 🔬💡

Completed/Ongoing Research Projects 🚀Vision-based robotic grasp detection projectWafer defect detection project

Citation Index 📑

Zhang, X., Jiang, Z., Yang, H., Mo, Y., Zhou, L., Zhang, Y., Li, J., Wei, S. (2024). DMWMNet: A novel dual-branch multi-level convolutional network for high-performance mixed-type wafer map defect detection in semiconductor manufacturing. Computers in Industry, 161, 104136

✍️Publications Top Note :

Patent Authorization Number: ZL202210817429.4
A six-degree-of-freedom grasping detection algorithm based on semantic segmentation networks.

Patent Application Number: 202310654572.0
A grasping detection network based on RGBD images and semantic segmentation for residual fitting.

Zhang, Xiangyan, et al. (2024): DMWMNet: A novel dual-branch multi-level convolutional network for high-performance mixed-type wafer map defect detection in semiconductor manufacturing. Computers in Industry, 161, 104136.

Zhang Qinjian†, Zhang Xiangyan†, et al. (2022): TMSCNet: A three-stage multi-branch self-correcting trait estimation network for RGB and depth images of lettuce. Frontiers in Plant Science, 13.

Wu Yalin, Zhang Qinjian, Zhang Xiangyan, et al. (2022):* Novel binary logistic regression model based on feature transformation of XGBoost for type 2 Diabetes Mellitus prediction in healthcare systems. Future Generation Computer Systems-the International Journal of Escience, 129: 1-12.

Zhang Wu, Li Haiyuan, Zhang Xiangyan, et al. (2021):* Research progress and development trend of surgical robot and surgical instrument arm. International Journal of Medical Robotics and Computer Assisted Surgery, 17(5).

Zhang Xiangyan, Li Haiyuan, et al. (2021):* Kinematics Analysis and Grasping Simulation of a Humanoid Underactuated Dexterous Hand. 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO): 55-60.

Zhang Qinjian, Zhang Xiangyan, Li Haiyuan (2022):* A Grasp Pose Detection Network Based on the DeepLabv3+ Semantic Segmentation Model. International Conference on Intelligent Robotics and Applications (ICIRA): 747-758. (EI)