Keabetsoe Manosa | Chemical Engineering | Young Researcher Award

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Mr. Keabetsoe Manosa | Chemical Engineering
| Young Researcher Award

Mersin University | Turkey

Mr. Keabetsoe Manosa  study investigates the hydrogen-storage potential of AB₂-type cluster systems based on Magnesium–Titanium (Mg–Ti) and Magnesium–Nickel (Mg–Ni), focusing on their economic feasibility, effectiveness, safety profile, and proximity to optimal thermodynamic and physicochemical conditions for maximum hydrogen retention. The research evaluates key material parameters including enthalpy of formation, activation energy, hydride stability, charge distribution, atomic radii compatibility, and lattice behavior under varying temperature–pressure conditions. Comparative computational analyses reveal how alloying magnesium with transition metals enhances hydrogen diffusion pathways, reduces desorption barriers, and influences reversible storage capacity. The Mg–Ti system is examined for its lightweight composition, favorable thermodynamic window, and potential cost efficiency, while the Mg–Ni system is assessed for catalytic enhancement, structural robustness, and effective hydrogen absorption–desorption kinetics. The study integrates principles of materials thermodynamics, solid-state chemistry, and cluster theory to determine which system aligns more closely with optimal storage metrics required for scalable applications in clean-energy technologies. Overall, the analysis provides insight into the tunability of Mg-based alloys, highlighting their comparative strengths and limitations in meeting industrial hydrogen-storage demands and contributing to the broader pursuit of high-performance, safe, and economically viable energy-storage materials.

Featured Publications

Manosa, K. (2025, July 30). The comparison in the degree of economic feasibility, effectiveness, safety and the proximity to the optimum conditions needed for the maximum storage of hydrogen gas in AB₂-type cluster systems of Magnesium–Titanium and Magnesium–Nickel based on the relevant physical and chemical properties: The Mpoetsi Manosa study (Version 2) [Preprint]. ChemRxiv. https://doi.org/10.26434/chemrxiv-2025-wkpn4-v2

Manosa, K. (2025, June 23). The comparison in the degree of economic feasibility, effectiveness, safety and the proximity to the optimum conditions needed for the maximum storage of hydrogen gas in AB₂-type cluster systems of Magnesium–Titanium and Magnesium–Nickel based on the relevant physical and chemical properties: The Mpoetsi Manosa study [Preprint]. ChemRxiv. https://doi.org/10.26434/chemrxiv-2025-wkpn4

Hamid Kazemi Hakki | Chemical Engineering | Editorial Board Member

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Dr. Hamid Kazemi Hakki | Chemical Engineering | Editorial Board Member

Soran University | Iraq

Dr. Hamid Kazemi Hakki research focuses on advancing photocatalysis, surface engineering, and material design through the development of highly efficient TiO₂- and ZnO-based thin films, nanocomposites, and hybrid photocatalysts. Significant work has explored sol–gel dip-coated TiO₂–ZnO films, where investigations into surface properties, crystal structure, and film adherence have provided key insights into optimizing photocatalytic performance for pollutant degradation. Additional contributions examine the influence of thermal annealing on TiO₂ film morphology and crystallinity, demonstrating how controlled heat treatments enhance adhesion, surface uniformity, and photocatalytic activity. A major research direction includes the synthesis of Fe-ZnO photocatalysts supported on hydrophobic silica aerogels, enabling floating systems capable of highly efficient photodecomposition of BTX compounds in wastewater. These studies integrate sol–gel chemistry, sequential impregnation, and nanomaterial modification to achieve improved light absorption, charge separation, and catalytic durability. Across multiple projects, the research advances fundamental understanding of structure–function relationships while contributing practical solutions for environmental remediation, solar-driven oxidation processes, and sustainable catalytic technologies. This body of work supports ongoing innovation in photocatalytic materials with enhanced stability, reusability, and performance under real-world conditions.

Featured Publications

Hakki, H. K., Allahyari, S., Rahemi, N., & Tasbihi, M. (2019). Surface properties, adherence, and photocatalytic activity of sol–gel dip-coated TiO₂–ZnO films on glass plates. Comptes Rendus Chimie, 22(5), 393–405.

Najafidoust, A., Asl, E. A., Hakki, H. K., Sarani, M., Bananifard, H., Sillanpaa, M., … (2021). Sequential impregnation and sol–gel synthesis of Fe-ZnO over hydrophobic silica aerogel as a floating photocatalyst with highly enhanced photodecomposition of BTX compounds. Solar Energy, 225, 344–356.

Hakki, H. K., Allahyari, S., Rahemi, N., & Tasbihi, M. (2018). The role of thermal annealing in controlling morphology, crystal structure and adherence of dip-coated TiO₂ film on glass and its photocatalytic activity. Materials Science in Semiconductor Processing, 85, 24–32

Nabila Tabassum | Chemical Engineering | Excellence in Research Award

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Ms. Nabila Tabassum | Chemical Engineering
| Excellence in Research Award

Shiv Nadar Institution fo Eminence, Greater Noida | India

Ms. Nabila Tabassum research trajectory focuses on the intersection of computational materials science, catalysis, and high-temperature materials engineering, emphasizing atomistic simulations and experimental validation for sustainable technological advancement. The work encompasses Density Functional Theory (DFT) and Molecular Dynamics (MD) simulations for understanding the structural, mechanical, and thermal behavior of High Entropy Alloys (HEAs), High Entropy Ceramics (HECs), and High Entropy Oxides (HEOs), specifically for applications in thermal barrier coatings and energy systems. The studies explore thermal stability, phase transformations, and electronic properties of multi-component alloys such as AlCoCrFeNi, contributing to the prediction of thermodynamic behavior and optimization of mechanical strength under extreme conditions. Experimental research complements computational findings through synthesis, sintering, and characterization of high entropy materials, bridging modeling with practical performance. Additional work includes catalytic conversion of ethanol and methanol into hydrocarbons, glycerol reforming for hydrogen generation, and development of amine–ionic liquid-based solvents for CO₂ capture, aligning with global sustainability goals. The outcomes, disseminated through peer-reviewed journals, book chapters, and international conferences, demonstrate a cohesive integration of computational chemistry, thermomechanical modeling, and green energy research, advancing the understanding and design of next-generation materials for energy-efficient and environmentally resilient applications.

Featured Publication

Tabassum, N. (2025). Thermal stability assessment of mixed phase AlCoCrFeNi high entropy alloy: In silico studies. Physica B: Condensed Matter. https://doi.org/[Insert DOI if available]

Yarong Liu | Chemical Engineering | Best Researcher Award

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Mrs. Yarong Liu l Chemical Engineering
| Best Researcher Award

Zhengzhou University | China

Dr. Liu Yarong ,  is a Han Chinese researcher and Ph.D. candidate at Beijing Institute of Technology, specializing in chemistry with a focus on the microenvironment regulation mechanisms of transition metal–nitrogen–carbon catalysts for hydrogen-oxygen fuel cells under the guidance of Prof. Bo Wang and Prof. Wenxiu Yang. She earned her M.Sc. in Chemical Engineering from Zhengzhou University, where she worked on the preparation and performance enhancement of proton exchange membranes for high-temperature hydrogen-oxygen fuel cells under Prof. Jingtao Wang, and her B.Sc. in Chemical Engineering and Technology from Xinxiang University. Dr. Liu has made significant contributions to fuel cell research, authoring four SCI papers as first author and three as corresponding author, with publications in top-tier journals including J. Am. Chem. Soc., Angew. Chem. Int. Ed., and Adv. Energy Mater, and has applied for or been granted four patents, covering single-atom iron catalysts, carbon quantum dot functionalized graphene oxide membranes, transition metal diatomic catalysts, and two-dimensional N/O mixed-metal organic frameworks. She has served as principal investigator for projects funded by the National Natural Science Foundation of China Youth Fund and the China Postdoctoral Science Foundation, with ongoing funding through 2028. Her academic excellence has been recognized with multiple awards and scholarships, including first- and second-class graduate scholarships at Beijing Institute of Technology and sponsored scholarships from the China Aerospace Science and Technology Corporation, and her research impact is reflected by 141 citations, seven documents, and an h-index of 5 (Scopus ID: 59854412500).

Profile: Scopus 

Featured Publication

Liu, Y., Zhang, W., Li, H., Mai, Z., Li, H., Xiao, S., Dang, J., Li, G., & Wang, J. (2026). Synergistic confinement of Keggin POMs in DUT-67 for enhanced proton conductivity in proton exchange membranes. Chemical Engineering Science, 320, 122534. https://doi.org/

Jinzhu Shen | Engineering | Best Researcher Award

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Dr. Jinzhu Shen | Engineering | Best Researcher Award

Donghua University  | China

Jinzhu Shen is a PhD candidate in Fashion Design at Donghua University, specializing in soft robotics, machine vision, and intelligent manufacturing for garment automation. With a strong academic foundation from Jiangnan University, where she completed both her bachelor’s and master’s degrees, she has advanced her expertise in integrating cutting-edge robotics with apparel production. Currently, Jinzhu is also a visiting researcher at Universidad Politécnica de Madrid, further expanding her global research perspective. Her career bridges engineering and design, with hands-on industry experience as an R&D engineer at Rouchu Robotics, where she has contributed to the development of soft-robotic grippers, intelligent sewing systems, and fabric-handling technologies. She has published extensively in leading journals, presented at international conferences such as TIWC, and is an inventor on multiple patents. Jinzhu’s research combines creativity with innovation, aiming to revolutionize garment production processes through automation, precision, and artificial intelligence, making her a rising talent in textile engineering.

Profile

Orcid

Education 

Jinzhu Shen educational background reflects a strong commitment to innovation and interdisciplinary research in fashion technology. She is currently pursuing a PhD in Fashion Design at Donghua University, focusing on robotic automation and AI-driven garment manufacturing systems. During her doctoral studies, she participated in an international visiting research program at Universidad Politécnica de Madrid, where she expanded her expertise in soft robotics and advanced textile engineering. Prior to this, Jinzhu earned both her bachelor’s and master’s degrees in Fashion Design from Jiangnan University, where she gained comprehensive knowledge in garment engineering, textile science, and design technology. Her studies laid a strong foundation in apparel production methods, computational modeling, and product innovation. Throughout her academic journey, Jinzhu has combined engineering principles with design thinking, demonstrating strong analytical and creative skills. Her international exposure and advanced research training have positioned her at the forefront of integrating emerging technologies into the textile and fashion industry.

Experience 

Jinzhu Shen has developed a unique blend of academic and industry experience, contributing significantly to textile automation and robotics innovation. She currently serves as an R&D engineer at Suzhou Rouchu Robotics, where she has worked on advanced soft robotic fingers, intelligent sewing systems, and machine vision algorithms for fabric handling. Her research and engineering efforts focus on designing robotic solutions to improve garment manufacturing efficiency, precision, and sustainability. Jinzhu’s contributions include simulation of robotic gripping forces, development of autonomous sewing strategies, and integration of AI-based vision systems. She has also led and contributed to multiple funded projects, collaborating with academic institutions and industry partners. In addition to her engineering role, her doctoral and visiting researcher positions have enabled her to publish in top-tier journals, present at prestigious conferences, and secure patents. Her experience demonstrates a deep understanding of fashion design, robotics, and automation, positioning her as an innovative leader in textile engineering.

Awards and Honors 

Jinzhu Shen has received multiple awards and scholarships in recognition of her academic excellence, research innovation, and contributions to textile technology. She was awarded the prestigious Taicang YIDAO Clothing Scholarship for two consecutive years, highlighting her leadership in garment automation research. Earlier, she earned the Outstanding Poster Award at the Apparel Science and Technology Academic Exchange Conference, showcasing her impactful contributions to apparel robotics. Throughout her studies at Jiangnan University, Jinzhu consistently demonstrated excellence, earning several academic scholarships, including second- and third-class honors. She was also recognized as a merit student, reflecting her strong academic performance and leadership. Her achievements extend beyond academics, with multiple patents credited to her name, underscoring her role as an innovator in robotic garment handling systems. These honors collectively illustrate her dedication to pushing boundaries in apparel engineering, her growing influence in textile research, and her commitment to advancing the intersection of robotics, AI, and fashion design.

Research Focus 

Jinzhu Shen research focuses on revolutionizing garment production through soft robotics, machine vision, and intelligent manufacturing systems. Her work integrates engineering precision and design innovation, aiming to fully automate the fabric handling and sewing process. She has developed robotic grippers and AI-driven vision systems capable of manipulating delicate textiles, addressing long-standing challenges in apparel manufacturing. Her doctoral studies emphasize the synergy between robotics and textiles, with a focus on fabric alignment, smoothness evaluation, and deep-learning-based automation strategies. She also investigates sustainable approaches to garment production by optimizing industrial workflows through robotics. Jinzhu’s contributions include numerous peer-reviewed publications, patents, and presentations at international conferences, demonstrating her ability to translate theoretical research into practical applications. Her interdisciplinary expertise spans computational modeling, product innovation, and industrial collaboration, positioning her as a pioneer in transforming the traditional fashion supply chain into a technology-driven ecosystem. Her research bridges design, engineering, and AI to shape the future of apparel manufacturing.

Publications

Title: Intelligent and Precise Textile Drop-Off: A New Strategy for Integrating Soft Fingers and Machine Vision Technology
Year: 2025

Title: A study on the formulation of process parameters for soft finger-assisted fabric stitching
Year: 2024

Title: A novel evaluation method of Chinese female lower body shapes based on machine learning
Year: 2024

Title: Research progress of automatic grasping methods for garment fabrics
Year: 2023

Conclusion

Jinzhu Shen exceptional research achievements, spanning academic and industrial innovation, make her a strong contender for the Best Researcher Award. Her pioneering work in soft robotics and automated garment manufacturing demonstrates a rare blend of creativity, technical depth, and practical application. With continued global engagement and leadership development, she is poised to become a transformative figure in intelligent manufacturing and fashion technology research.

Haojie Li | Chemical Engineering | Best Researcher Award

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Haojie Li | Chemical Engineering | Best Researcher Award

Assoc. Prof. Dr Haojie Li, Shihezi University, China

Assoc. Prof. Dr. Haojie Li is a renowned expert in chemical engineering, specializing in chemical process intensification, heat and mass transfer, and multiphase flow. He currently serves as an associate professor at Shihezi University in China. Dr. Li has led over 10 national and provincial research projects and has published 16 high-level papers. He holds several patents, including two Chinese national invention patents. Recognized for his academic excellence, he has won prestigious awards, such as the Ministry of Education’s Teaching and Research Achievement Awards. His research focuses on carbon capture, utilization, and storage (CCUS) and computational fluid dynamics. 🔬🌱📚

Publication Profile

Scopus

Education

Dr. Li is a dedicated educator who has made significant contributions to the academic and research fields. Through his published educational reform papers and textbook editing, he demonstrates a strong commitment to improving the learning environment and fostering academic growth. His efforts focus on enhancing the quality of education, promoting innovative teaching methods, and advancing scholarly research. Dr. Li’s work reflects his passion for educational development and his dedication to shaping the future of education. 📚✍️🎓📖

Research Leadership

Assoc. Prof. Dr. Haojie Li is a distinguished researcher and leader in the fields of energy, chemical engineering, and environmental science 🌱⚡. He has spearheaded numerous impactful scientific projects, particularly in multiphase process intensification technology, aimed at enhancing carbon capture and utilization 🌍💨. His work is vital in advancing industry practices while reducing environmental footprints 🌿. Through his expertise, Dr. Li is contributing to the development of sustainable technologies that play a key role in addressing global environmental challenges 🔬🌍. His leadership and research continue to shape the future of energy and environmental practices in the industry.

Recognition and Awards

He has earned recognition for his outstanding contributions to research and education, receiving multiple prestigious awards. Notably, he was awarded first prizes for the Ministry of Education’s Teaching and Research Achievement Awards, showcasing his excellence in both teaching and research. Additionally, his groundbreaking work in chemical engineering earned him a second prize for the Basic Research Achievement Award from the Chemical Engineering Society of China. These accolades reflect his significant impact in his field, underlining his dedication and expertise. 🏆📚🔬🌟

Expertise in Key Research Areas

Dr. Li’s research focuses on Carbon Capture, Utilization, and Storage (CCUS), Chemical Process Intensification, and Thermal Transfer, addressing critical global energy challenges 🌍. His work in computational fluid dynamics and multiphase flow is essential for advancing more efficient processes in these areas 💡. By optimizing energy systems and improving sustainability, Dr. Li is contributing to the development of innovative solutions that reduce environmental impact 🌱. His expertise is shaping the future of energy technologies and fostering a cleaner, more sustainable world ⚡. With a keen focus on practical applications, Dr. Li’s work plays a vital role in global energy transformation 🔋.

Research Focus

Assoc. Prof. Dr. Haojie Li’s research focuses on advanced materials and their applications in energy and environmental fields. His work primarily involves the development of novel nanomaterials, such as covalent organic frameworks (COFs), for efficient CO2 capture and separation in mixed matrix membranes. His studies also explore the structural effects of materials on catalytic processes, including oxygen reduction reactions and energy storage. Additionally, he investigates the impact of flow dynamics and geometry on chemical processes, with an emphasis on optimizing energy consumption and enhancing performance in various engineering applications. 🌍⚡🔬💨

Publication Top Notes

Constructing CO2 capture nanotraps via tentacle-like covalent organic frameworks towards efficient CO2 separation in mixed matrix membrane

Customized Heteronuclear Dual Single-Atom and Cluster Assemblies via D-Band Orchestration for Oxygen Reduction Reaction

The structure-effect relationship between inline high shear mixers and micromixing: Experiment and CFD simulation

Surface reconstruction enables outstanding performance of Fe2O3/Ni(OH)2 nanosheet arrays for ultrahigh current density oxygen evolution reaction

Effects of stator and rotor geometry on inline high shear mixers: Residence time distribution, flow, and energy consumption