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.

Assoc Prof Dr Yong xing Jiao | Material processing | Best Researcher Award |

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Assoc Prof Dr. Yong xing Jiao | Material processing | Best Researcher Award.

Taiyuan University of Science and Technology, China

Professional Profiles:

SCOPUS

 👨‍🎓 Bio Summary:

Assoc. Prof. Dr. Yongxing Jiao is an accomplished academic and researcher specializing in large-scale forging technologies, with a particular focus on microstructure uniformity and defect control in high-end manufacturing components. His work has significantly contributed to the advancement of numerical simulation techniques and innovative processes for ring components. Currently serving as an Associate Professor at Taiyuan University of Science and Technology, Dr. Jiao is also a dedicated Master’s Supervisor, mentoring the next generation of engineers.

🎓 Educational Background:

Dr. Jiao earned his Ph.D. in Engineering from Taiyuan University of Science and Technology, where he also completed his postdoctoral research. His academic journey has been marked by a rapid progression through various roles, reflecting his dedication and expertise in his field

🔍 Research Focus:

Dr. Jiao’s research centers on the development of new technologies and theories for large-scale forging, with a strong emphasis on the numerical simulation of ring components. His work aims to enhance the uniformity of microstructures and minimize defects in large forgings, which are critical for the reliability and performance of high-end equipment

🏆 Honors & Awards:

Throughout his career, Dr. Jiao has been recognized for his innovative contributions to engineering. He has secured and led several provincial-level research projects and participated in national-level projects. His work has resulted in three authorized national invention patents, underscoring his role as a leader in forging technology innovation

💼 Professional Experience:

Dr. Jiao’s professional career began at Taiyuan University of Science and Technology, where he quickly rose from Lecturer to Associate Professor. His academic and research contributions have been instrumental in securing his current position, where he continues to push the boundaries of forging technology

📚 Top Noted Publications :

Title: Research on Hot Deformation Behavior and Microstructure Evolution Mechanism of GH4169 Superalloy
Authors: Jiao, Y., Qi, Q., Gong, Y., Zhou, F., Li, X.
Citations: 0
Index: Materials Today Communications
Year of Publish: 2024

Title: Hot Deformation Behavior and Comparison of Different Constitutive Models of As-Cast ER8 Steel
Authors: Chen, F., Jia, Z., Zhang, X., Li, F., Zhang, X.
Citations: 0
Index: Metallurgical Research and Technology
Year of Publish: 2023

Title: Research on the Behaviour and Mechanism of Void Welding Based on Multiple Scales
Authors: Shi, R., Yu, X., Chen, H., Chen, F., He, S.
Citations: 1
Index: High Temperature Materials and Processes
Year of Publish: 2023

Title: Static Recrystallization Behavior of 17CrNiMo6 Steel
Authors: Duan, X., Li, K., Jiao, Y., Wang, M., He, L.
Citations: 1
Index: Jinshu Rechuli/Heat Treatment of Metals
Year of Publish: 2022

Title: Void Evolution Behavior and Closure Criterion Inside Large Shaft Forgings During a Forging Process
Authors: Jiao, Y., Zhou, C., Liu, J., Zhang, X., He, W.
Citations: 3
Index: Materiali in Tehnologije
Year of Publish: 2021

Conclusion:

Dr. Yongxing Jiao presents a strong case for the Researcher Award, particularly due to his innovative contributions to large-scale forging technologies and his solid track record of securing research funding and publishing in reputable journals. His rapid career advancement and role as a mentor further underline his suitability for the award.

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.

Dr Bilel Marzouki | Manufacturing | Best Scholar Award |

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Dr. Bilel Marzouki | Manufacturing | Best Scholar Award.

Esprit School of Business,Tunisia

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR 

ORCID

👨‍🎓 Bio Summary:

Dr. Bilel Marzouki is a seasoned professional with a Doctorate in Computer Science from the Ecole Nationale des Sciences de l’Informatique (ENSI), specializing in solving complex scheduling problems. His research focuses on developing innovative algorithms and models for optimizing job scheduling in distributed environments

🎓 Education:

 Dr. Marzouki holds a Doctorate in Computer Science, a Master’s degree in Business Intelligence and Intelligent Systems, and a Bachelor’s degree in Management Informatics.

🔍 Research Focus:

His research primarily revolves around addressing challenges in scheduling and optimization, particularly in the context of flexible job shop scheduling problems. Dr. Marzouki has made significant contributions to the field by developing novel algorithms and metaheuristic approaches to improve scheduling efficiency.

🏆 Honors & Awards:

Dr. Marzouki has received recognition for his academic and research achievements, including a notable H-index of 5 and an I10-index of 5, reflecting the impact of his work in the academic community.

Professional Experience: 💼

With extensive experience in academia, Dr. Marzouki has served in various capacities, including as a Responsible for the Business Computing program at Esprit School of Business, where he oversees curriculum development, accreditation, and student mentoring. He has also held teaching positions at both Esprit School of Business and the Faculty of Sciences in Tunis.

📚 Top Noted Publications :

Title: Solving distributed and flexible job shop scheduling problem using a chemical reaction optimization metaheuristic

Authors: B. Marzouki, O.B. Driss, K. Ghédira

Published in: Procedia Computer Science, Volume 126, Pages 1424-1433, 2018

Citations: 35

 

Title: Multi-agent model based on chemical reaction optimization with greedy algorithm for flexible job shop scheduling problem

Authors: B. Marzouki, O.B. Driss, K. Ghédira

Published in: Procedia Computer Science, Volume 112, Pages 81-90, 2017

Citations: 32

 

Title: Multi-agent model based on combination of chemical reaction optimization metaheuristic with Tabu search for flexible job shop scheduling problem

Authors: B. Marzouki, O.B. Driss, K. Ghédira

Published in: International Journal of Intelligent Engineering Informatics, Volume 6, Issue 3-4, Pages 242-265, 2018

Citations: 20

 

Title: Multi-agent model based on chemical reaction optimization for flexible job shop problem

Authors: B. Marzouki, O. Belkahla Driss

Published in: Computational Collective Intelligence: 7th International Conference, ICCCI …, 2015

Citations: 16

 

Title: Decentralized Tabu searches in multi agent system for distributed and flexible job shop scheduling problem

Authors: B. Marzouki, O.B. Driss, K. Ghédira

Published in: 2017 IEEE/ACS 14th International Conference on Computer Systems and …, 2017

Citations: 13

Author Metrics 📊 : 

His research contributions are reflected in his author metrics, including an H-index of 5, indicative of the impact and citation of his work within the academic community.

📅 Research Timeline:

Dr. Marzouki’s research journey spans several years, marked by a progression from his doctoral studies to his current role as a leading figure in the field of scheduling optimization. He has consistently demonstrated a commitment to advancing knowledge and solving real-world problems through his research endeavors.