Yanyan Zhu | Energy Chemical Engineering | Best Researcher Award

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Prof. Yanyan Zhu | Energy Chemical Engineering | Best Researcher Award

Professor at Northwest University | China

Prof. Yanyan Zhu is a distinguished scholar and Doctoral Supervisor at the College of Chemical Engineering, Northwest University, China. She currently serves as Deputy Director of the Shaanxi Provincial Demonstration International Science and Technology Cooperation Base for Energy and Chemical Engineering, and as the Secretary of the Energy and Chemical Engineering Party Branch. Recognized as a “Zhongying Young Scholar” and awarded the title of Shaanxi Province Outstanding Young Scientist, Professor Zhu has demonstrated exceptional leadership in both teaching and research. Her academic background includes a Doctor of Engineering in Industrial Catalysis from the Dalian Institute of Chemical Physics, Chinese Academy of Sciences, under the supervision of Academician Tao Zhang and Researcher Xiaodong Wang. Since joining Northwest University, she has taught key chemical engineering courses such as Principles of Chemical Engineering, Fundamentals of Energy Catalysis, Catalyst Design and Preparation, and Chemical Engineering Principles Design, earning recognition as an Excellent Teacher and Outstanding Communist Party Member. Her research focuses on chemical looping catalysis, energy small molecule conversion, natural gas reforming to syngas and hydrogen, and oxygen carrier design for clean energy systems. She has led multiple national research projects including those supported by the National Natural Science Foundation of China and the National 973 Program, achieving significant scientific and technological outcomes. Professor Zhu has published over 30 high-impact SCI papers in prestigious international journals such as Nature Communications, AIChE Journal, Applied Catalysis B, Chemical Engineering Journal, ACS Catalysis, and Applied Energy. She is the author of the monograph Construction and Chemical Looping Performance Regulation of Composite Metal Oxides, and holds 12 authorized national invention patents as first inventor. Her outstanding academic contributions have been recognized with multiple awards, including the First Prize for Excellent Academic Paper in Natural Sciences of Xi’an, underscoring her significant influence in the fields of chemical catalysis and energy conversion research.

Profile: Scopus

Featured Publications:

Zhu, Y., [Other authors not listed]. (2025). Boosted solar-driven thermochemical syngas production using bio-inspired indirectly irradiated reactor with BaFe₃Al₉O₁₉ hexaaluminate oxygen carrier. Chemical Engineering Journal.

Zhu, Y., [Other authors not listed]. (2025). Doping Ti as structural and electronic promoter in LaFeO₃ for enhanced chemical looping dry reforming of methane. Chemical Engineering Journal.

Zhu, Y., [Other authors not listed]. (2025). Effect of the combination of squid-fin-inspired wall and internal vortex generator on methane reduction in a micro-fluidized bed reactor. Fuel.

Prof. Wenlong Song | Mechnical Engineering | Best Researcher Award

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Prof. Wenlong Song | Mechnical Engineering | Best Researcher Award

Jining University | China

Featured Publications:

Assoc. Prof. Dr. Nasrollah Bani Mostafa Arab | manufacturing processes | Best Faculty Award

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Assoc. Prof. Dr. Nasrollah Bani Mostafa Arab | manufacturing processes | Best Faculty Award

 Assoc.Prof. at  Shahid Rajaee Teacher Training University , Iran.

Nasrollah Bani Mostafa Arab is an esteemed Associate Professor at the Faculty of Mechanical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran 📚. With over 30 years of teaching experience and a strong research background in welding processes, manufacturing processes, and composite materials, he has established himself as a leading expert in his field 🔩.

Professional Profile

scholar

🎓 Education

– *PhD in Mechanical Engineering*: IIT Delhi, India (1993) 🎓– M.Tech. in Mechanical Engineering (Production): B.H.U., India (1988) 🎓– B.E. in Mechanical Engineering: R.E.C., Srinagar, India (1985) 🎓

💼 Experience

– *Associate Professor*: Faculty of Mechanical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran 📚– *Teaching Experience*: Over 30 years of experience in teaching mechanical engineering courses 📚– *Research Experience*: Extensive research experience in welding processes, manufacturing processes, and composite materials

🔬 Research Interests

Nasrollah Bani Mostafa Arab’s research focuses on welding processes, manufacturing processes, and composite materials 🔩. His work involves investigating the properties and applications of various materials and developing new manufacturing techniques.

🏅 Awards

– *Published over 60 journal and conference papers*: Demonstrating his expertise and contributions to the field of mechanical engineering 📄– *Translated book*: “Advanced machining processes” from English to Persian 📚– *Authored book*: “Technical English for students of production and manufactur

📚Top Noted  Publications

1. Effects of friction stir welding process parameters on appearance and strength of polypropylene composite welds 📄
GH Payganeh, NBM Arab, YD Asl, FA Ghasemi, MS Boroujeni
Int. J. Phys. Sci 6 (19), 4595-4601, 2011

2. Optimization of process parameters for friction stir lap welding of carbon fibre reinforced thermoplastic composites by Taguchi method 📊
H Ahmadi, NB Mostafa Arab, FA Ghasemi
Journal of Mechanical Science and Technology 28, 279-284, 2014

3. Optimization of welding parameters for weld penetration in FCAW 🔩
NB Mostafa, MN Khajavi
Journal of achievements in materials and manufacturing engineering 16 (1-2), 2006

4. Influence of pin profile on quality of friction stir lap welds in carbon fiber reinforced polypropylene composite 🔍
H Ahmadi, NBM Arab, FA Ghasemi, RE Farsani
International Journal of Mechanics and Applications 2 (3), 24-28, 2012

5. Effects of drilling parameters on delamination of glass-epoxy composites 🌀
FA Ghasemi, A Hyvadi, G Payganeh, NBM Arab
Australian Journal of Basic and Applied Sciences 5 (12), 1433-1440, 2011

6. Mechanical and metallurgical properties of pulsed neodymium-doped yttrium aluminum garnet laser welding of dual phase steels 🔩
M Hazratinezhad, NBM Arab, AR Sufizadeh, MJ Torkamany
Materials & Design 33, 83-87, 2012

7. The systematic parameter optimization in the Nd: YAG laser beam welding of Inconel 625 🔍
MR Jelokhani-Niaraki, N B. Mostafa Arab, H Naffakh-Moosavy, …
The International Journal of Advanced Manufacturing Technology 84, 2537-2546, 2016

8. Application of response surface methodology for weld strength prediction in laser welding of polypropylene/clay nanocomposite 📊
MR Nakhaei, NB Mostafa Arab, G Naderi
Iranian Polymer Journal 22, 351-360, 2013

9. Numerical and experimental investigation of defects formation during friction stir processing on AZ91 🔍
H Agha Amini Fashami, N Bani Mostafa Arab, M Hoseinpour Gollo, …
SN Applied Sciences 3, 1-13, 2021

10. Experimental study on optimization of CO2 laser welding parameters for polypropylene-clay nanocomposite welds 🔩
MR Nakhaei, NB Mostafa Arab, G Naderi, M Hoseinpour Gollo
Journal of Mechanical Science and Technology 27, 843-848, 2013

 

Conclusion

Dr. Nasrollah Bani Mostafa Arab’s research experience, publication record, teaching experience, and book publications make him a strong candidate for the Best Researcher Award. With some further emphasis on international collaboration and interdisciplinary research, Dr. Arab could further solidify his position as a leading researcher in his field.

Sabum Jung | Smart factory | Best Researcher Award

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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.

Yurong Wang | Additive manufacturing | Best Researcher Award

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Mr. Yurong Wang | Additive manufacturing | Best Researcher Award

Mr at  Tsinghua University, China

A PhD candidate in Mechanical Engineering at Sichuan University, this researcher specializes in additive manufacturing, powder bed fusion, and advanced material processes. With a passion for material characterization and innovation, they strive to advance mechanical engineering technologies.

Professional Profiles:

orcid

🎓 Education

PhD Student (Mechanical Engineering) – Sichuan UniversityMaster’s (Mechanical Engineering) – Tsinghua University & Guangxi UniversityBachelor’s (Mechanical and Vehicle Engineering) – Hunan University

💼 Experience

Research assistant in additive manufacturing projects at Sichuan UniversityIntern at advanced materials lab, Tsinghua UniversityUndergraduate researcher in mechanical design at Hunan University

🏆 Awards and Honors

Best Graduate Research Award – Sichuan UniversityOutstanding Master’s Thesis Award – Tsinghua UniversityInnovation Excellence Award – Guangxi University

🔍 Research Focus

Additive Manufacturing 🛠️Powder Bed Fusion ⚙️Advanced Material Processes 🔩Material Characterization 🧪

✍️Publications Top Note 

Strengthened Microstructure and Mechanical Properties of Austenitic 316L Stainless Steels by Grain Refinement and Solute Segregation

Journal of Materials Research and Technology (2025)
DOI: 10.1016/j.jmrt.2024.12.086
Authors: Yurong Wang, Buwei Xiao, Xiaoyu Liang, Huabei Peng, Jun Zhou, Feng Lin

This study explores how refining grain structure and promoting solute segregation enhances the mechanical properties of 316L stainless steel. The findings reveal improved strength and toughness, making it a promising material for advanced engineering applications.

2. Effect of Laser Energy on Anisotropic Material Properties of a Novel Austenitic Stainless Steel with a Fine-Grained Microstructure
Journal of Manufacturing and Materials Processing

This paper investigates the influence of laser energy on the anisotropic properties of fine-grained austenitic stainless steel. The research highlights how laser processing parameters can optimize material performance, contributing to advancements in additive manufacturing.

Conclusion

This individual is highly suitable for the Best Researcher Award, as they have a strong educational background, expertise in cutting-edge research areas, and the potential for impactful contributions to additive manufacturing and advanced materials science. They demonstrate the qualities of a forward-thinking, innovative researcher poised to make significant strides in their field. With continued focus on publishing high-quality research and fostering industry partnerships, their potential to achieve even greater success and recognition is substantial.

 

Mr. Yongbiao Mu | Lithium ion batteries | Best Researcher Award

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Mr. Yongbiao Mu | Lithium ion batteries | Best Researcher Award

PhD student of Medicine at Southern University of Science and Technology, China

Ph.D. in Material Science and Engineering (2021 – 2025) Southern University of Science and Technology (SUSTech), China Research Focus: Lithium/Zinc metal battery anodes, solid-state electrolytes, interface characterization.

Publication Profile

scholar

Education:

Ph.D. in Material Science and Engineering (2021 – 2025) Southern University of Science and Technology (SUSTech), China Research Focus: Lithium/Zinc metal battery anodes, solid-state electrolytes, interface characterization. M.S. in Materials Engineering (2016 – 2019) Harbin Institute of Technology (HIT), China Research Focus: Electrospun carbon nanofibers, CVD-grown vertically aligned graphene, lithium-ion battery anodes. B.S. in Water Quality Science and Technology (2004 – 2008) Nanjing Tech University, China Research Focus: Membrane materials, metal corrosion, and protection.

Work Experience:

Research Assistant (Mar. 2021 – Sep. 2021) Department of Mechanical and Energy Engineering, SUSTech, China. Engineer (Jan. 2019 – Mar. 2021) Materials Laboratory of Songshan Lake, Institute of Physics, Chinese Academy of Sciences, China.

Awards & Scholarships:

2023 National Scholarship for Ph.D. Students2023 Outstanding Graduate Student Model, SUSTech2023 Academic Star, SUSTech2022 Academic Star, SUSTech

Research Interests:

Key materials for secondary batteries (Lithium/Zinc metal anodes, solid-state electrolytes, high-energy-density silicon-carbon anodes).Advanced electrochemical characterizations (in-situ XRD, Raman, TEM, Aberration-Corrected EM, Cryo-EM). 

Publication  Top Notes

Graphene/MoS2/FeCoNi(OH)x and Graphene/MoS2/FeCoNiPx multilayer-stacked vertical nanosheets on carbon fibers for highly efficient overall water splitting

Authors: X. Ji, Y. Lin, J. Zeng, Z. Ren, Z. Lin, Y. Mu, Y. Qiu, J. Yu

Journal: Nature Communications, 2021

DOI: 10.1038/s41467-021-21735-3

Summary: This study presents the synthesis of vertical nanosheets composed of graphene, MoS2, and FeCoNi hydroxides/phosphides on carbon fibers. The engineered structure exhibits high catalytic activity for overall water splitting due to enhanced charge transfer properties and effective electrocatalytic performance.

2. A flexible, electrochromic, rechargeable Zn//PPy battery with a short circuit chromatic warning function

Authors: J. Wang, J. Liu, M. Hu, J. Zeng, Y. Mu, Y. Guo, J. Yu, X. Ma, Y. Qiu, Y. Huang

Journal: Journal of Materials Chemistry A, 2018

DOI: 10.1039/C8TA03155A

Summary: The research introduces a flexible Zn/PPy (polypyrrole) battery that features an electrochromic property allowing for a visual warning in case of a short circuit. This advancement improves battery safety and usability while maintaining high electrochemical performance.

3. 3D hierarchical graphene matrices enable stable Zn anodes for aqueous Zn batteries

Authors: Y. Mu, Z. Li, B. Wu, H. Huang, F. Wu, Y. Chu, L. Zou, M. Yang, J. He, L. Ye

Journal: Nature Communications, 2023

DOI: 10.1038/s41467-023-41448-0

Summary: This paper discusses the development of 3D hierarchical graphene matrices that significantly improve the stability of Zn anodes in aqueous Zn batteries, addressing issues of dendrite formation and enhancing cycling performance.

4. Growing vertical graphene sheets on natural graphite for fast charging lithium-ion batteries

Authors: Y. Mu, M. Han, J. Li, J. Liang, J. Yu

Journal: Carbon, 2021

DOI: 10.1016/j.carbon.2021.03.045

Summary: The authors present a method for growing vertical graphene sheets on natural graphite, which enhances the fast charging capability of lithium-ion batteries. The novel structure aids in improved lithium ion transport and cycling stability.

5. Nitrogen, oxygen‐codoped vertical graphene arrays coated 3D flexible carbon nanofibers with high silicon content as an ultrastable anode for superior lithium storage

Authors: Y. Mu, M. Han, B. Wu, Y. Wang, Z. Li, J. Li, Z. Li, S. Wang, J. Wan, L. Zeng

Journal: Advanced Science, 2022

DOI: 10.1002/advs.202104685

Summary: This study explores a novel anode design combining nitrogen and oxygen-doped vertical graphene arrays with high silicon content, resulting in improved lithium storage performance and stability.

6. Vertical graphene growth on uniformly dispersed sub-nanoscale SiO x/N-doped carbon composite microspheres with a 3D conductive network

Authors: M. Han, Y. Mu, F. Yuan, J. Liang, T. Jiang, X. Bai, J. Yu

Journal: Journal of Materials Chemistry A, 2020

DOI: 10.1039/C9TA12253F

Summary: The paper details the growth of vertical graphene on a novel composite microsphere structure, achieving enhanced conductivity and mechanical stability suitable for energy storage applications.

7. High zinc utilization aqueous zinc ion batteries enabled by 3D printed graphene arrays

Authors: B. Wu, B. Guo, Y. Chen, Y. Mu, H. Qu, M. Lin, J. Bai, T. Zhao, L. Zeng

Journal: Energy Storage Materials, 2023

DOI: 10.1016/j.ensm.2023.01.001

Summary: The authors report on a 3D printing technique to create graphene arrays, significantly improving zinc utilization in aqueous zinc-ion batteries while ensuring long-term cycling stability.

8. Growth of flexible and porous surface layers of vertical graphene sheets for accommodating huge volume change of silicon in lithium-ion battery anodes

Authors: M. Han, Z. Lin, X. Ji, Y. Mu, J. Li, J. Yu

Journal: Materials Today Energy, 2020

DOI: 10.1016/j.mten.2020.100445

Summary: This research focuses on creating flexible, porous vertical graphene layers that effectively manage the volume changes of silicon during cycling in lithium-ion batteries, thereby enhancing the durability of anodes.

9. Reconstruction of thiospinel to active sites and spin channels for water oxidation

Authors: T. Wu, Y. Sun, X. Ren, J. Wang, J. Song, Y. Pan, Y. Mu, J. Zhang, Q. Cheng, …

Journal: Advanced Materials, 2023

DOI: 10.1002/adma.202207041

Summary: This study investigates the transformation of thiospinel compounds into active sites for efficient water oxidation, contributing to advancements in photocatalytic water splitting technologies.

10. Oriented construction of efficient intrinsic proton transport pathways in MOF-808

Authors: X.M. Li, Y. Wang, Y. Mu, J. Gao, L. Zeng

Journal: Journal of Materials Chemistry A, 2022

DOI: 10.1039/D2TA02878K

Summary: This paper presents a method for constructing proton transport pathways in metal-organic frameworks (MOF-808), enhancing their efficiency in proton conduction applications.

11. Thermodynamically Stable Dual‐Modified LiF&FeF3 layer Empowering Ni‐Rich Cathodes with Superior Cyclabilities

Authors: Y. Chu, Y. Mu, L. Zou, Y. Hu, J. Cheng, B. Wu, M. Han, S. Xi, Q. Zhang, L. Zeng

Journal: Advanced Materials, 2023

DOI: 10.1002/adma.202212308

Summary: This research investigates a dual-modification approach to improve the stability and cyclability of Ni-rich cathodes, critical for advancing lithium-ion battery performance.

12. Flexible electrospun carbon nanofibers/silicone composite films for electromagnetic interference shielding, electrothermal and photothermal applications

Authors: Z. Li, Z. Lin, M. Han, Y. Mu, P. Yu, Y. Zhang, J. Yu

Journal: Chemical Engineering Journal, 2021

DOI: 10.1016/j.cej.2020.129826

Summary: The authors develop flexible composite films from electrospun carbon nanofibers and silicone, showcasing effective electromagnetic interference shielding and promising applications in electrothermal and photothermal technologies.

13. Recent advances in the anode catalyst layer for proton exchange membrane fuel cells

Authors: Z. Li, Y. Wang, Y. Mu, B. Wu, Y. Jiang, L. Zeng, T. Zhao

Journal: Renewable and Sustainable Energy Reviews, 2023

DOI: 10.1016/j.rser.2023.113182

Summary: This review summarizes recent advancements in anode catalyst layers for proton exchange membrane fuel cells, highlighting the materials and strategies that enhance performance.

14. High yield production of 3D graphene powders by thermal chemical vapor deposition and application as highly efficient conductive additive of lithium ion battery electrodes

Authors: X. Ji, Y. Mu, J. Liang, T. Jiang, J. Zeng, Z. Lin, Y. Lin, J. Yu

Journal: Carbon, 2021

DOI: 10.1016/j.carbon.2021.01.059

Summary: The authors present a method for producing 3D graphene powders via thermal chemical vapor deposition, which serve as highly efficient conductive additives in lithium-ion battery electrodes, enhancing electrochemical performance.