Mr Zhenghua Liu | Additive manufacturing | Best Researcher Award |

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Mr. Zhenghua Liu | Additive manufacturing | Best Researcher Award

Xi’an University of Electronic Science and Technology,China

Professional Profiles:

SCOPUS

 👨‍🎓 Bio Summary:

Zhenghua Liu is a dedicated PhD candidate specializing in additive manufacturing, with a particular focus on microdroplet jetting technology. His work revolves around advancing high-precision 3D printing for multi-material systems, and he has contributed innovative solutions that aim to shape the future of manufacturing technologies. His research intersects material science, mechatronic engineering, and smart fabrication techniques, pushing the boundaries of what is possible in fields like electronics, radar systems, and precision manufacturing.

🎓 Educational Background:

Liu is currently pursuing a Master’s degree in Mechatronic Engineering at Xidian University (2022-2024), with his work progressing towards a PhD. His academic journey has equipped him with a strong foundation in both theoretical and practical aspects of additive manufacturing, enabling him to produce cutting-edge research that has been recognized globally.

🔍 Research Focus:

Liu’s research focuses on high-precision additive manufacturing, particularly using microdroplet jetting technology. His work involves optimizing multi-material 3D printing, controlling warping and curing processes, and improving the fabrication of smart skins and conformal surfaces for advanced electrical devices. His projects include the development of high-temperature resistant feedlines and integrated phased array antennas, showcasing his expertise in microfabrication and material behavior.

🏆 Honors & Awards:

While Liu has yet to list specific awards, his publications in high-impact journals such as Additive Manufacturing and Journal of Manufacturing Processes indicate that his work is well-regarded within the academic community. His potential for receiving academic honors is high as he continues to contribute innovative solutions to complex manufacturing challenges.

💼 Professional Experience:

Liu has accumulated significant research experience through several high-profile projects, including the development of nano-metal-based smart skins and the integration of multi-layer circuit boards using microdroplet jetting. His hands-on work with advanced sintering and 3D printing technologies has allowed him to contribute directly to the progress of precision manufacturing techniques, preparing him for future roles in both academia and industry.

📚 Top Noted Publications :

Fabrication of Electrical Devices on Conformal Surfaces Based on Array Nozzle and Five-Axis Motion Mechanism

Authors: Meng, F., Liu, Z., Huang, J., Lu, W., Zhang, M.

Journal: Journal of Manufacturing Processes

Year: 2024

Volume: 119

Pages: 321–331

Citations: 0

 

Computational and Analytical Modeling of Curing and Warping of Microdroplet-Jet 3D Printing Photosensitive Resins

Authors: Ping, B., Huang, J., Meng, F., Wang, X., Shi, H.

Journal: Additive Manufacturing

Year: 2024

Volume: 89

Article Number: 104291

Citations: 0

Conclusion:

Liu Zhenghua’s research in additive manufacturing, with a focus on high-precision 3D printing and multi-material systems, makes him a strong candidate for a Best Researcher Award. His innovative approach to solving complex manufacturing problems, demonstrated by his work on smart skins, microdroplet jetting, and radar applications, highlights his potential to become a leader in the field. With a bit more focus on expanding collaborations and demonstrating broader impacts, Liu’s candidacy could become even more competitive for such honors.

Mr Antonio Azambuja | Indústria 4.0 | Best Researcher Award |

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Mr. Antonio Azambuja | Indústria 4.0 | Best Researcher Award.

Instituto Tecnologico de Aeronautica,Brazil

Professional Profiles:

SCOPUS

👨‍🎓 Bio Summary:

Antonio João Gonçalves de Azambuja is an accomplished researcher and academic currently pursuing a postdoctoral fellowship in the Department of Informatics at the Federal University of Rio Grande do Sul (UFRGS), Brazil. His research focuses on social engineering in network and system security, particularly automated bots and artificial intelligence actions. Additionally, Antonio is a visiting researcher at Technische Universität Darmstadt, Germany, where he delves into cybersecurity and AI within Industry 4.0. His extensive academic journey includes two doctoral degrees, multiple specializations, and significant contributions to cybersecurity and information management.

🎓 Education:

Antonio is currently pursuing a second Ph.D. in Space Technologies Management at the Instituto Tecnológico de Aeronáutica (ITA), focusing on a cybersecurity maturity model for Industry 4.0, under the guidance of Prof. Dr. Vilson Rosa de Almeida. He holds a Ph.D. in Science Education from UFRGS, where his dissertation developed an information architecture maturity model to mitigate social impacts related to privacy, security, and information loss in Big Data. Antonio earned his Master’s in Knowledge Management and Information Technology from the Universidade Católica de Brasília, specializing in cybersecurity maturity models for federal public administration. He also completed various post-graduate programs in strategic IT management, software engineering, and information security.

🔍 Research Focus:

Antonio’s research primarily revolves around cybersecurity, artificial intelligence, and their applications in Industry 4.0. His interests include developing maturity models for cybersecurity, investigating social engineering attacks using automated bots, and enhancing cyber defense mechanisms. He is also actively involved in exploring the intersection of cybersecurity with Big Data and digital twins in industrial contexts.

🏆 Honors & Awards:

Throughout his academic career, Antonio has been recognized for his contributions to cybersecurity and information management. He has received multiple accolades for his innovative research and has been invited to present his work at numerous national and international conferences. His dedication to advancing cybersecurity practices within the public and industrial sectors has earned him respect and acknowledgment in the academic community.

Professional Experience: 💼

Antonio is currently a postdoctoral researcher at UFRGS, working under the mentorship of Prof. Dr. Lisandro Zambenedetti Granville and Prof. Dr. Jéferson Campos Nobre. He also serves as a visiting researcher at Technische Universität Darmstadt, Germany, under Prof. Dr. Reiner Anderl and Prof. Dr. Benjamin Schleich. Antonio is a researcher at the Naval War College’s Scenario Simulation Laboratory, focusing on cybersecurity and cyber defense, led by Prof. Dr. Max Campos. His professional journey includes roles in academia and collaborative research projects across Brazil and Germany.

 📚 Top Noted Publications :

Digital Twins in Industry 4.0 – Opportunities and Challenges Related to Cyber Security

Authors: de Azambuja, A.J.G., Giese, T., Schützer, K., Schleich, B., Rosa Almeida, V.

Journal: Procedia CIRP

Year: 2024

Pages: 25–30

Citations: 1

 

Artificial Intelligence-Based Cyber Security in the Context of Industry 4.0—A Survey

Authors: de Azambuja, A.J.G., Plesker, C., Schützer, K., Schleich, B., Almeida, V.R.

Journal: Electronics (Switzerland)

Year: 2023

Volume and Issue: 12(8)

Article Number: 1920

Citations: 29

 

Analysis of Cyber Security Features in Industry 4.0 Maturity Models

Authors: de Azambuja, A.J.G., Kern, A., Anderl, R.

Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Year: 2022

Volume: 13106 LNCS

Pages: 91–106

Citations: 0

Author Metrics 📊 : 

Antonio’s contributions to the field of cybersecurity are well-documented in various high-impact publications. His work is frequently cited, reflecting the significance and influence of his research. He has co-authored multiple articles with prominent researchers, contributing valuable insights into cybersecurity and information management.

📅 Research Timeline:

Antonio’s research timeline demonstrates a progressive and focused approach to cybersecurity and information management. Beginning with his Master’s research on cybersecurity maturity models, he advanced to developing comprehensive frameworks for Big Data security during his first Ph.D. His current postdoctoral work and second Ph.D. continue to build on these foundations, exploring advanced cybersecurity solutions for Industry 4.0.