Research Scientist at Fraunhofer Institute for Factory Operation and Automation IFF Department of Human-Centered Systems, Germany
Zechang Wang is an accomplished research scientist and international project manager specializing in human-robot collaboration and robotic system safety. With extensive experience in interdisciplinary research, Wang has demonstrated exceptional skill in integrating cutting-edge robotic technologies into real-world applications. Currently based at the Fraunhofer Institute for Factory Operation and Automation IFF in Magdeburg, Germany, he contributes to high-impact R&D initiatives, particularly those fostering collaboration between German and Chinese institutions. His career reflects a strong emphasis on applied research, human-centered design, and project coordination across cultural and disciplinary boundaries. His educational journey—from mechanical engineering in China to mechatronics and robotics in Germany—has equipped him with both a global perspective and deep technical expertise. Wang is also pursuing his PhD (Dr.-Ing.) in Numerical Simulations at Otto von Guericke University Magdeburg, a testament to his commitment to academic excellence and innovation. Through a combination of robust theoretical foundations and practical experience, Wang continues to push the boundaries in robotics and automation. His bilingual and cross-cultural capabilities further support his role in managing international R&D collaborations effectively. Overall, Wang represents a dynamic and forward-thinking professional dedicated to advancing robotic integration for the future of smart industry.
Professional Profiles
Education
Zechang Wang’s educational background demonstrates a solid foundation in engineering and robotics, reinforced by international academic experiences. He is currently pursuing his doctoral degree (Dr.-Ing.) in Numerical Simulations at Otto von Guericke University Magdeburg, Germany, where his research focuses on advanced computational modeling techniques in robotic systems. His PhD studies reflect his deep engagement with simulation-driven design and development in the context of human-robot interaction. Prior to this, Wang earned his Master of Science in Mechatronics with a specialization in Robotic and Medical Technology from Gottfried Wilhelm Leibniz University Hannover between 2013 and 2017. This interdisciplinary program bridged mechanical engineering, electronics, and biomedical applications, preparing him for innovation at the intersection of healthcare and robotics. He also holds a Bachelor’s degree in Measurement and Sensor Technology from Hochschule Koblenz, RheinAhrCampus, obtained in 2013, where he developed core skills in sensor systems and automation. Wang’s academic journey began in Qingdao, China, where he completed a Bachelor’s degree in Mechanical Engineering from Qingdao University of Science and Technology in 2010. His progression from mechanical foundations to specialized robotics illustrates a continuous pursuit of knowledge, enhanced by international exposure and hands-on research, positioning him strongly in both academic and industrial settings.
Professional Experience
Zechang Wang’s professional career is defined by his active engagement in applied robotics research and international project management. Since 2018, he has been working as a Research Scientist and International Project Manager at the Fraunhofer Institute for Factory Operation and Automation IFF in Magdeburg, Germany. Within the Department of Robotic Systems, his responsibilities center on advancing research and development in human-robot collaboration, particularly focusing on integration strategies and safety protocols in industrial settings. In addition to technical development, he plays a crucial role in coordinating international R&D collaborations, especially between China and Germany, facilitating cross-border innovation in automation technologies. His work is grounded in real-world implementation, aiming to create systems where humans and robots can interact safely and efficiently. Before joining Fraunhofer IFF, Wang worked as a Research Assistant at Otto Bock HealthCare GmbH in Duderstadt from April 2016 to October 2017. There, he contributed to translational research in biomechanics, evaluating dynamic and static model algorithms related to human body loading. This role allowed him to apply computational and analytical skills to healthcare-related technologies. Across both positions, Wang has demonstrated the ability to integrate theoretical expertise with practical problem-solving, contributing meaningfully to advancements in robotics and assistive technologies.
Research Interest
Zechang Wang’s research interests lie at the intersection of robotics, human-machine interaction, and numerical simulation. His current focus is on the development of safe and efficient human-robot collaboration systems, a critical aspect of Industry 4.0 and the smart manufacturing revolution. He is particularly interested in ensuring that robotic systems can work alongside humans in shared environments without compromising safety or performance. This includes exploring adaptive control strategies, sensor integration, and safety algorithms that enable intuitive and responsive robot behavior. In parallel, his PhD research emphasizes numerical simulations for robotic applications, enabling predictive modeling and optimization of system behavior under various conditions. Wang is also deeply interested in the interdisciplinary nature of robotic development—drawing from mechanical engineering, computer science, and human factors engineering to create solutions that are technically robust and user-centered. Additionally, he is engaged in international R&D collaboration models, studying how cross-cultural scientific cooperation can accelerate innovation, particularly between Germany and China. His interests also extend to medical robotics and assistive technologies, where robots can be applied to improve quality of life and rehabilitation outcomes. Overall, Wang is driven by a vision to design intelligent, safe, and adaptable robotic systems that harmoniously integrate into human environments.
Research Skills
Zechang Wang brings a comprehensive suite of research skills that span simulation, system design, safety analysis, and project coordination. As a PhD candidate in Numerical Simulations, he is proficient in developing computational models for robotic systems, including finite element methods and multi-body dynamics to analyze robot-environment interactions. He possesses advanced skills in software tools such as MATLAB/Simulink, ROS (Robot Operating System), and Python, which he uses for control development, data analysis, and real-time simulation. His hands-on experience in human-robot collaboration has also made him adept at safety standards implementation (e.g., ISO/TS 15066), risk assessment, and integration of sensor systems for collision detection and adaptive response. Wang’s experimental design capabilities are evident in his ability to validate simulation outcomes through empirical testing in lab and industrial settings. Furthermore, his experience managing international projects has equipped him with strong coordination and communication skills, including cross-cultural collaboration and multilingual engagement in English, German, and Chinese. He is also skilled in writing research proposals, conducting literature reviews, and publishing scientific findings. Collectively, these skills make him a versatile and effective researcher capable of contributing across the full lifecycle of robotic system development—from concept to deployment.
Awards and Honors
While specific awards and honors are not explicitly listed in the available records, Zechang Wang’s academic and professional trajectory reflects significant recognition of his capabilities and contributions. His continued involvement with prestigious institutions such as the Fraunhofer Institute for Factory Operation and Automation IFF and Otto von Guericke University Magdeburg attests to the high regard in which he is held within the scientific and engineering communities. His selection as an international project manager, especially in the context of Germany–China R&D cooperation, indicates institutional trust in both his technical expertise and leadership acumen. Participation in competitive and interdisciplinary programs such as Mechatronics and Robotic Medical Technology at Leibniz University Hannover further suggests academic merit and a track record of excellence. Additionally, his involvement in translational research at Otto Bock HealthCare GmbH—a global leader in prosthetics and healthcare technology—highlights recognition of his potential to contribute to cutting-edge biomedical innovation. It is also likely that he has received internal acknowledgments, travel grants, or research support awards during his academic and professional work. Overall, Wang’s career demonstrates a consistent pattern of merit-based selection and trusted responsibility, which can be seen as implicit honors recognizing his valuable contributions.
Conclusion
Zechang Wang exemplifies the ideal modern researcher—technically skilled, globally minded, and deeply committed to advancing the frontiers of robotics. His journey from mechanical engineering in China to cutting-edge research in Germany reflects a dedication to continual learning and international collaboration. With a robust educational foundation in mechatronics and sensor technology, and current PhD research in numerical simulation, Wang is equipped to tackle complex challenges in human-robot interaction and automation. Professionally, his contributions to the Fraunhofer IFF as a research scientist and international project manager showcase his ability to deliver impactful R&D outcomes while bridging cultural and disciplinary divides. His research interests align with some of the most pressing technological goals of our time—safe and intuitive human-robot collaboration, industrial automation, and simulation-based system optimization. Through his academic and industrial experiences, Wang has developed a powerful blend of analytical thinking, technical know-how, and project leadership. As he continues his academic and professional journey, he remains poised to make significant contributions to robotics and automation, not only in Germany and China but on a global scale. His career is a testament to the value of cross-border knowledge exchange and the potential of engineering to enhance human life.
Publications Top Notes
Title: Finite element modeling of concentrated impact loads on the masticatory muscles at the head
Authors: Zechang Wang, Roland Behrens, Daniel Juhre, Norbert Elkmann
Year: 2024