Eduardo Garcia Magraner | Engineering and Technology | Best Researcher Award

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Eduardo Garcia Magraner | Engineering and Technology | Best Researcher Award

Dr Eduardo Garcia, Magraner Ford Motor Company, Spain

🔧 Dr. Eduardo García Magraner is a distinguished expert in industrial automation, manufacturing, and occupational safety. With a Ph.D. in Computer Engineering & Industrial Production (Cum Laude, CEU Cardenal Herrera, 2016) 🎓, he has led key roles at Ford Spain 🚗, from Electromechanical Maintenance to Manufacturing Manager. A Lean Six Sigma Black Belt ⚙️, he has earned multiple innovation and safety awards 🏆, including the Henry Ford Technical Award. A sought-after speaker 🎤 and researcher 📖, his contributions span Industry 4.0, predictive maintenance, and AI-driven efficiency. Passionate about smart factories 🏭, he bridges academia and industry for sustainable progress. 🌍

Publication Profile

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Academic and Professional Background 

Dr. Eduardo Garcia Magraner 🎓⚙️ is an expert in industrial engineering, automation, and occupational safety. His academic journey began with vocational training in electrical and telecommunications, followed by a Ph.D. in Computer Engineering and Industrial Production (2016) 🏅. Certified in Lean Six Sigma (Black Belt) and occupational risk prevention, he has mastered integrated management systems 🏭✅. With expertise in robotics 🤖, energy efficiency 🌱, and human resources 🤝, he has undertaken extensive additional training in automation and safety. His research explores machine deterioration and throughput optimization 📊. A leader in engineering and innovation, he continuously enhances industry standards 🚀.

Experience

Dr. Eduardo Garcia Magraner has built an impressive career at Ford S.L, starting as a First-Class Electromechanical Maintenance Operator (1990-2001) ⚙️. He advanced to Equipment Engineer (2001-2006) and later became a Maintenance Supervisor (2006) 🔩. His expertise led him to roles such as Senior Equipment Engineer in Maintenance & Automation (2007-2012) and Production Supervisor (2012) 🏭. He progressed to Manufacturing Manager for Body & Stamping (2014) and Champion of M.O.S. (2016) 🔧. As SPOC for Cyber Security (2019) and now Manufacturing Manager for Assembly & Battery Plants (2023), he continues shaping Ford’s production excellence ⚡🚗.

Awards and Recognitions 

Dr. Eduardo Garcia Magraner has been recognized for his outstanding contributions to safety, productivity, and innovation at Ford Spain 🚗🏆. His accolades include multiple Maximum Awards for enhancing press line efficiency (1997, 1999, 2002) and the prestigious Henry Ford Technical Award (2019) for IIoT-based predictive maintenance 🔧📊. He received honors for workplace safety (1995, 2010, 2012) and academic mentorship at the Polytechnic University of Valencia (2014) 🎓👏. His work in AI and cybersecurity earned global recognition (2019, 2020) 🤖🔐. A leader in industrial innovation, he continues to push the boundaries of engineering excellence 🚀⚙️.

Academic Impact 

Dr. Eduardo Garcia is a distinguished researcher in automation and smart manufacturing 🤖🏭. Beyond his groundbreaking research, he has delivered keynote presentations at global conferences, sharing insights on smart factories and AI-driven manufacturing 🔍🎤. His expertise has influenced industry advancements, making him a sought-after speaker in the field. In recognition of his contributions, he was honored with the prestigious CEU Ángel Herrera Prize in 2023 🏆🎓, further solidifying his reputation as a leading researcher. Through his work, Dr. Garcia continues to shape the future of industrial automation, bridging innovation and practical applications for smarter, more efficient production systems ⚙️🌍.

Presentation

Dr. Eduardo García is a distinguished expert in industrial robotics and Industry 4.0 🤖🏭, actively contributing to global conferences and forums. He has delivered impactful presentations at events like EVERii2020, PENTEO2020, and INNOVATION TALKS 2020, addressing smart manufacturing and supply chains 🚀📦. A sought-after speaker, he has shared insights at Advanced Factories, the Global Robot Expo, and the International Conference on Big Data, AI, and IoT 🌍📊. As a Master Professor at PEAKS BUSINESS SCHOOL, he fosters innovation in Industry 4.0. In 2023, he received the prestigious CEU Ángel Herrera Prize for outstanding research excellence 🏆📖.

Research Focus

Dr. Eduardo García Magraner’s research focuses on Industrial Internet of Things (IIoT) 🏭📡, smart manufacturing 🤖, and predictive maintenance 🔧⚙️ within Industry 4.0. His work includes real-time condition monitoring 🕒, virtual sensors 📊, and AI-driven automation 🤖🔍 to enhance efficiency in industrial environments. Key contributions involve sub-bottleneck detection 🚀, autonomous mobile warehouses 🚗🏭, and manufacturing process optimization 📈 using big data and simulation tools 📡💡. His research advances smart factory management 🏭💻, ensuring reliability, reducing downtime, and boosting productivity. His innovations drive next-gen industrial automation 🚀🏗️ for intelligent and self-optimizing manufacturing ecosystems.

Publication Top Notes

I3oT (Industrializable Industrial Internet of Things) Tool for Continuous Improvement in Production Line Efficiency by Means of Sub-Bottleneck Detection Method

Survival 1.0: A Novel Autonomous Industrial Mobile Warehouse (AIMW) for Industrial Environments

Virtual Sensor of Gravity Centres for Real-Time Condition Monitoring of an Industrial Stamping Press in the Automotive Industry

Influence of Mechanical Failures of the Welding Gun on the Magnetic Field Generated in the Measurement of Misalignment

Mini-Sym 4.0. a Novel Simulation Tool to Calculate Real-time Production Line Productivity

Miniterm, a Novel Virtual Sensor for Predictive Maintenance for the Industry 4.0 Era

Manufacturing Maps, a Novel Tool for Smart Factory Management Based on Petri Nets and Big Data Mini-Terms

jinming zhen | Engineering and Technology | Best Researcher Award

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jinming zhen | Engineering and Technology | Best Researcher Award

Prof jinming zhen, College of Materials Science and Engineering, Liaocheng University, China

Prof. Jinming Zhen 🌟 holds an M.S. and Ph.D. from the State Key Laboratory of Solid Lubrication at the Lanzhou Institute of Chemical Physics, completed in 2014 and 2017. Currently an Associate Professor at the College of Materials Science and Engineering, Liaocheng University, he specializes in surface coatings, high-temperature tribology, and surface characterization. 🧪🔬 His recent research includes Mo elements in nickel alloy composites, biomimetic hydrogel coatings, and MoS₂/metal nanocomposites for lubrication. 📚✍️ With publications in Lubricants, Coatings, and Polymers, Prof. Zhen advances material science and engineering, contributing significantly to friction and wear technology. ⚙️✨

Publication Profile

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Educational Background

Prof. Jinming Zhen, an accomplished materials scientist, earned his M.S. and Ph.D. from the esteemed State Key Laboratory of Solid Lubrication at the Lanzhou Institute of Chemical Physics in 2014 and 2017, respectively. 🎓✨ His advanced training has provided a robust foundation in materials science, fueling his expertise in tribology and surface engineering. 🧪🔬 Prof. Zhen’s work bridges innovation and practical application, contributing to the understanding and enhancement of material surfaces. 🌟⚙️ His academic journey reflects a dedication to advancing knowledge in these specialized fields, establishing him as a prominent figure in the study of lubrication and wear resistance. 🌍📘

Academic and Professional Role

Prof. Jinming Zhen 🌟 has been an Associate Professor at the College of Materials Science and Engineering, Liaocheng University, since 2017. His academic journey is marked by notable contributions to teaching and groundbreaking research in surface coatings 🧪, high-temperature tribology 🔥, and surface characterization 🔍. Through his work, Prof. Zhen has played a pivotal role in advancing the field of materials science, fostering innovation, and mentoring future researchers 👨‍🏫📚. His dedication to excellence in both education and research exemplifies his commitment to enhancing the understanding and application of advanced materials. 🌟

Research Focus

Jinming Zhen’s research focuses on advanced materials science, specifically exploring the tribological properties of composites and coatings under varying conditions. His work emphasizes enhancing friction and wear performance in materials like nickel alloy matrix composites, biomimetic hydrogels, MoS₂/metal nanocomposites, and UHMWPE composites. Key themes include high-temperature performance, lubricant additives, and aging resistance, aimed at improving durability and efficiency in mechanical systems. With a multidisciplinary approach integrating biomimetics and nanotechnology, his contributions advance applications in aerospace, automotive, and industrial lubrication systems. 🚀⚙️🔬📄✨

Employment 

Prof. Jinming Zhen has been a dedicated teacher at Liaocheng University’s College of Materials Science and Engineering since June 2017. Based in Liaocheng, China, he specializes in educating and mentoring students in the field of materials science. With a focus on fostering innovation and excellence, he has contributed significantly to academic growth and research advancements within the department. His commitment to quality education and scientific exploration has earned him recognition among peers and students alike. Prof. Zhen continues to inspire future engineers and scientists with his passion for materials science and engineering. 🌟📚🔬✨

Publication Top Notes

Investigating Influence of Mo Elements on Friction and Wear Performance of Nickel Alloy Matrix Composites in Air from 25 to 800 °C

Biomimetic Layered Hydrogel Coating for Enhanced Lubrication and Load-Bearing Capacity

The Preparation of MoS<sub>2</sub>/Metal Nanocomposites Functionalized with N-Oleoylethanolamine: Application as Lubricant Additives

Synergistic Enhancement of the Friction and Wear Performance for UHMWPE Composites under Different Aging Times

Conclusion 🌟 

Prof. Jinming Zhen is a distinguished scholar known for his groundbreaking research in tribology and surface coatings. With an impressive academic background and innovative contributions, he has become a leader in the field. His studies focus on high-temperature applications and advanced coatings, showcasing his expertise and dedication. Prof. Zhen’s work has consistently pushed the boundaries of materials science, offering valuable insights for industries seeking enhanced performance and durability. His commitment to advancing knowledge and solving real-world challenges makes him a highly deserving candidate for the Best Researcher Award. 🏆📚🔬🛠️🌟

ABDULFATTAH AHMED QASEM ALWAH | Engineering and Technology | Best Researcher Award

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ABDULFATTAH AHMED QASEM ALWAH | Engineering and Technology | Best Researcher Award

Assist Prof Dr ABDULFATTAH AHMED QASEM ALWAH, Ibb University, Yemen

Based on Mr. Tailong Lv’s educational background, research experience, and publication, here’s an assessment of whether he is a suitable candidate for the Best Researcher Award.

Publication profile

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Education

Mr. Tailong Lv holds a Bachelor’s degree in Automation from Henan University of Urban Construction and is currently pursuing a Master’s degree in Mechanical Engineering at Xi’an University of Posts & Telecommunications. His academic foundation is strong, particularly in technical fields relevant to his research focus.

Research Project

Mr. Lv’s main research project, “Deep Learning Based Human Activity Recognition,” showcases his proficiency in applying deep learning techniques to real-world problems. His work focuses on optimizing neural networks for better recognition of complex human activities. This is a cutting-edge area in artificial intelligence and has significant potential for applications in areas such as surveillance, healthcare, and human-computer interaction. His contribution to this field is commendable, given the complexity and real-world relevance of the project.

Awards & Recognition

Mr. Lv has received consecutive scholarships from Xi’an University of Posts and Telecommunications in 2022 and 2023, demonstrating academic excellence and a consistent track record of high achievement.

Research focus

The research focus of this person primarily revolves around urban planning, environmental sustainability, and public space management. Their work involves evaluating the disparity between supply and demand for green spaces 🌳, analyzing visual pollution in historical cities 🏙️, and predicting urban waterlogging risks 🌧️. Additionally, they contribute to developing tools to measure public space efficiency and studying the relationship between built environments and social sustainability 🏞️. Their research emphasizes creating better urban environments by addressing ecological concerns, enhancing public spaces, and promoting social well-being through thoughtful urban design.

Publication

His recent publication, “Multihead-Res-SE Residual Network with Attention for Human Activity Recognition” in the journal Electronics, reflects his engagement in research at an advanced level. Co-authoring this paper with established researchers like Hongbo Kang and Chunjie Yang, and contributing to a field as impactful as human activity recognition, highlights his research capabilities.

Conclusion

Mr. Tailong Lv’s solid educational background, innovative research in deep learning, continuous academic excellence, and publication record make him a strong candidate for the Best Researcher Award. His work contributes significantly to the field of AI and human activity recognition, aligning with the qualities expected of an award-winning researcher.

Publication top notes

Evaluating the disparity between supply and demand of park green space using a multi-dimensional spatial equity evaluation framework

Predicting urban waterlogging risks by regression models and internet open-data sources

Developing a quantitative tool to measure the extent to which public spaces meet user needs

Difficulty and complexity in dealing with visual pollution in historical cities: The historical city of Ibb, Yemen as a case study

Relationship between physical elements and density of use of public spaces in Sana’a City

Research of urban suitable ecological land based on the minimum cumulative resistance model: A Case Study from Hanoi, Vietnam

Analysis of visual pollution of the urban environment in the old city of Ibb

Characteristics of visiting urban open spaces in Sana’a city in Yemen

Relationship between the perceived characteristics of the built environment and social sustainability: Sana’a City, Yemen use case..

Predicting urban waterlogging risks by regression models and internet open-data sources. Water 12 (3): 879