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.

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.