Dr. Zakariyaou Seybou Yacouba | Chemical Engineering and Technology | Best Scholar Award

Dr. Zakariyaou Seybou Yacouba | Chemical Engineering and Technology | Best Scholar Award

PhD scholar, central south university, China

A dedicated PhD scholar from the Department of Chemical Engineering and Technology at Central South University, China. Currently pursuing research in fluid catalytic cracking process optimization, decarbonization technology applications, and catalyst design.

Profile

scholar

orcid

🎓 Education

– PhD in Chemical Engineering and Technology, Central South University, China (2024 – current) 📚

👨‍🔬 Experience

– PhD Scholar, Central South University, China (2024 – current) 🔍

🔍 Research Interest

– Fluid catalytic cracking process optimization ⛽️
– Decarbonization technology applications 🌟
– Catalyst design and operating unit optimization 🔧

📚 Publications 

1. “Characterization of equilibrium catalysts from the fluid catalytic cracking process of atmospheric residue” 🔍
2. “A Four-Lump Kinetic Model for Atmospheric Residue Conversion in the Fluid Catalytic Cracking Unit” 📝
3. “Synthesis and influence of modified Nano-SiO2 Grafted poly (AM-AA-AMPS) onto swelling behavior, degradation and its Viscosity” 🔬
4. “Synthesis and Characterization of Lithium Phosphate (Li3PO4) as a Solid Electrolyte” ⚡️
5. “Modelisation and Optimisation of Hematite-Goethite Ore Reduction to Magnetite Using Experimental Design Methodology” 🔩
6. “Production Of Biodiesel From Southern DRC (Bunyakiri) Palm Nut Kernels Oil”

Conclusion

Based on the provided information, the candidate appears to be a strong contender for the Best Scholar Award, given their research focus and academic pursuit. Addressing the areas for improvement could further enhance their candidacy. Their potential for contributing to advancements in chemical engineering and technology is significant, and their research has the potential to drive meaningful impact in the field.

Sabum Jung | Smart factory | Best Researcher Award

Mr. Sabum Jung | Smart factory | Best Researcher Award

Research engineer, Lg energy solution,South Korea

Sabum Jung is a seasoned Data Scientist and Machine Learning Engineer with over 23 years of expertise in predictive modeling, deep learning, and AI-driven optimization. His career spans LG Energy Solution, SK Holdings, and LG Production Engineering Research Institute, where he pioneered AI applications in high-tech manufacturing, including semiconductor, battery, and display industries. A former Military Intelligence Analyst for the U.S. Army, he has authored research papers and books on AI, machine learning, and Industry 4.0. Fluent in English, Korean, and Japanese, he continues to drive AI innovations in industrial applications.

Profile

🎓 Education

Sabum Jung holds a B.A. (3.9/4.5) and an M.S. (4.2/4.5) in Industrial Engineering from Sung Kyun Kwan University, South Korea. His academic journey focused on advanced analytics, AI-driven optimization, and industrial process improvements. His research contributions in artificial intelligence, reliability engineering, and digital transformation have shaped his expertise in machine learning, deep learning, and predictive modeling, positioning him as a leader in AI applications for manufacturing and industrial systems.

💼 Experience

Currently a Data Scientist at LG Energy Solution, Sabum Jung leads AI-driven innovations in virtual metrology, predictive maintenance, and defect analysis. Previously at SK Holdings, he optimized renewable energy predictions, semiconductor material discovery, and AI-powered industrial operations. His 20-year tenure at LG Production Engineering Research Institute saw groundbreaking work in machine learning for smart appliances, battery systems, and industrial automation. His early career as a Military Intelligence Analyst in the U.S. Army honed his analytical prowess, setting the foundation for his AI-driven problem-solving approach.

🏆 Awards & Honors

Sabum Jung has been recognized for his contributions to AI, machine learning, and industrial automation. His accolades include leadership in AI-driven manufacturing optimization, predictive maintenance, and reinforcement learning applications. He has received industry recognition for his research and innovation in deep learning, active learning, and process optimization in high-tech sectors, further cementing his influence in AI-driven industrial advancements.

🔬 Research Focus:

Sabum Jung specializes in AI applications for high-tech manufacturing, focusing on predictive maintenance, virtual metrology, and defect detection. His research spans deep learning, reinforcement learning, and AI-driven industrial process optimization. Notable contributions include renewable energy prediction, semiconductor material discovery, and advanced statistical modeling. His expertise in machine learning has been instrumental in developing AI solutions for smart manufacturing, Industry 4.0, and digital transformation.

Publications

Recent progress of LG PDP: High efficiency & productivity technologies Citations1

Conclusion

Sabum Jung is a strong candidate for the Best Researcher Award, given his vast industry experience, research excellence, and technological contributions to AI and machine learning in manufacturing. Enhancing academic collaborations and increasing research dissemination could further elevate his impact and recognition.

Dr. Rui Bao | Viscoelastic curing kinetics | Best Scholar Award

Dr. Rui Bao | Viscoelastic curing kinetics | Best Scholar Award

Dr. Rui Bao, China university of petroleum Beijing, China

Dr. Rui Bao is a highly accomplished individual with a robust educational background and significant professional experience in mechanical engineering, particularly in the areas of composite materials and offshore engineering. She is currently pursuing her PhD at the China University of Petroleum (Beijing), with an expected graduation in December 2024. She also spent time as a visiting PhD student at Nanyang Technological University, where she specialized in strength failure analysis, composite flexible risers, and residual stress in manufacturing.

She holds a Master’s and Bachelor’s degree in Mechanical Engineering from the China University of Petroleum (East China), where she was recognized as an outstanding student and received first-class scholarships. Her undergraduate and graduate research focused on water injection columns, mechanical properties of packers, and other mechanical analyses.

Professionally, Dr. Đorđević worked as a Well Completion Engineering Assistant Engineer at COSL, where she was responsible for the CAD design and drafting of offshore wellhead components and the development and testing of packers. She has also led significant projects such as the NSFC general project on the strength failure analysis of flexible riser composite armored wire, showcasing her skills in materials and structural analysis, innovative design, and team collaboration.

With a deep understanding of composite materials, advanced computational modeling techniques, and a strong track record of academic and professional excellence, Dr. Đorđević is well-positioned to make significant contributions to the field of mechanical engineering and beyond.

 

Professional Profiles:

Orcid

🎓 Education

China University of Petroleum (Beijing)
Expected in Dec 2024
Nanyang Technological University
Visiting PhD Student, Mechanical EngineeringHonors: 🏅 Outstanding Graduate Student / 🥇 First-Class ScholarshipRelevant Directions:🛠️ Strength Failure Analysis⚙️ Composite Flexible Risers🔧 Residual Stress of Manufacturing (NSFC, general project)China University of Petroleum (East China)
Bachelor in Mechanical Engineering (09/2012 – 06/2016)Honors: 🏅 Excellent Graduate Cadres / 🥇 First-Class ScholarshipRelevant Directions:🚰 Water Injection Column📐 Mechanical Analysis🧩 Mechanical Properties of Packers (General project)Master in Mechanical Engineering (09/2016 – 06/2019)

🛠️ Work Experience

Well Completion Engineering Assistant Engineer – COSL (Jul 2019 – Aug 2020)Design and Drafting of Offshore Wellhead Components: ✏️ Responsible for the CAD design and drafting of key offshore wellhead components (packers and compensators), ensuring precise specifications and functional integrity to meet the demands of harsh offshore environments.Development and Testing of Packers: 🧪 Involved in the manufacturing and testing of packers in the processing workshop to ensure their mechanical and safety performance.

📊 Project Experience

Strength Failure Analysis of Flexible Riser Composite Armored Wire Considering Residual Stress (NSFC, general project) 2021‐Present

Comprehensive Materials and Structural Analysis Skills: 🧬 Proficient in composite material performance analysis and evaluation of the impact of residual stress on the integrity of composite armor line structures. Able to use advanced computational modeling techniques (such as finite element analysis) to simulate and optimize complex structures.Innovative Design and Performance Optimization Capability: 💡 Leveraging a deep understanding of composite materials and structural performance to innovate the design and optimization of flexible risers, improving their performance and reliability in marine engineering applications.Interdisciplinary Communication and Team Collaboration Skills: 🤝 Adept at collaborating across disciplines to achieve project goals efficiently. 

📖 Publications Top Note :