Fengqing Chen | Polymer Composites | Best Researcher Award

Fengqing Chen | Polymer Composites | Best Researcher Award

Dr. Fengqing Chen at Zhejiang A&F University | China

Dr. Fengqing Chen is a Lecturer at the School of Chemistry and Materials Engineering, Zhejiang A&F University, specializing in polymer composites, flame retardancy, and data-driven materials design. He earned his Ph.D. in Materials Chemistry from Shanghai University, where he developed expertise in designing advanced polymer nanocomposites and sustainable materials. His research integrates traditional materials science with modern computational and machine learning approaches, leading to impactful publications in prestigious journals including ACS Applied Materials & Interfaces, Composites Science and Technology, and Computational Materials Science. Dedicated and innovative, Dr. Chen actively contributes to advancing sustainable and high-performance materials engineering.

Professional Profile

SCOPUS

Education

Dr. Fengqing Chen obtained his Ph.D. in Materials Chemistry from Shanghai University, focusing on the structural design and optimization of flame-retardant polymer nanocomposites through experimental and computational approaches.

Experience

Dr. Chen currently serves as a Lecturer in the School of Chemistry and Materials Engineering at Zhejiang A&F University. He is actively involved in teaching and mentoring students while continuing his research on polymer composites, nanomaterials, and machine learning-driven material innovation.

Professional Development

Dr. Fengqing Chen has consistently pursued professional growth through active research, collaborations, and academic publications. He has contributed significantly to the fields of flame-retardant polymer composites, nanostructured materials, and sustainable solutions. His interdisciplinary research approach bridges experimental techniques with computational optimization frameworks. Alongside his research, Dr. Chen is committed to mentoring students and fostering innovation within his department. His work exemplifies a balance between theoretical understanding and practical application, supporting the advancement of next-generation materials that address industrial challenges while aligning with environmental and safety standards.

Research Interests 

Dr. Chen’s research is centered on the design and optimization of flame-retardant polymer composites and sustainable nanomaterials. He combines experimental polymer science with computational and machine learning techniques to accelerate material discovery and enhance performance. His studies explore structure–property relationships in polymer nanocomposites, applying green chemistry and eco-friendly design strategies to achieve improvements in flame retardancy, mechanical strength, and thermal properties. With a strong emphasis on sustainability and innovation, Dr. Chen’s work contributes to the development of multifunctional composites that address industrial demands while reducing environmental impact, advancing the future of materials engineering.

Awards and Recognitions 

Although specific awards are not listed, Dr. Fengqing Chen’s recognition is reflected through his impactful research contributions published in leading international journals. His pioneering work in combining materials chemistry with machine learning frameworks has established him as a promising early-career researcher in polymer composites and sustainable materials. His innovative methodologies, growing influence, and recognition within the scientific community highlight his role as an emerging scholar dedicated to advancing flame-retardant materials, eco-friendly solutions, and data-driven material innovation.

Top Noted Publications 

Title: Miscanthus fforidulus-based intumescent flame retardant by green self-assembly for fully biological EP composites with commendable flame retardancy, smoke suppression and mechanical properties
Year: 2024

Title: One-pot solvent-free green strategy to fabricate ultra-efficient polyphosphoester flame retardant for Poly(Lactic acid)
Year: 2024

Title: An adaptive framework to accelerate optimization of high flame retardant composites using machine learning
Year: 2022

Title: Simple large-scale method of recycled graphene films vertical arrangement for superhigh through-plane thermal conductivity of epoxy composites
Year: 2021

Title: Machine Learning and Structural Design to Optimize the Flame Retardancy of Polymer Nanocomposites with Graphene Oxide Hydrogen Bonded Zinc Hydroxystannate
Year: 202

Title: Accelerated feasible screening of flame-retardant polymeric composites using data-driven multi-objective optimization
Year: 2023

Conclusion

Dr. Fengqing Chen is an emerging scholar whose research bridges advanced materials chemistry, polymer science, and machine learning-based design. With strong expertise in flame-retardant composites, sustainable nanomaterials, and structure–property optimization, he is contributing to both scientific knowledge and practical innovation. His commitment to sustainability, interdisciplinary collaboration, and academic mentorship underscores his role as a forward-thinking researcher. Through impactful publications and growing recognition, Dr. Chen continues to shape the future of materials engineering, positioning himself as a promising leader in developing high-performance and eco-friendly solutions for global challenges.

Ma Haohao | Intelligent Construction | Best Researcher Award

Ma Haohao | Intelligent Construction | Best Researcher Award

Assist Prof. Dr. Ma Haohao at Zhongyuan University of Technology | China

Dr. Ma Haohao is an Associate Professor at the School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology. He obtained his academic training in civil and geotechnical engineering at Henan University of Urban Construction and Chang’an University, where he advanced from undergraduate to doctoral studies. He has devoted his career to teaching and research in geotechnical engineering, soil mechanics, slope stability, and construction technologies. Dr. Ma has authored research articles in recognized journals, contributed to academic monographs, and developed patented experimental devices, showcasing his integration of scientific research with practical engineering innovation.

Professional Profile

ORCID

Education

Dr. Ma pursued his studies in civil engineering and specialized in geotechnical engineering, completing his undergraduate, master’s, and doctoral degrees at respected Chinese universities. His educational journey provided him with a strong foundation in soil mechanics, slope stability, and structural engineering.

Experience

Dr. Ma has been affiliated with Zhongyuan University of Technology for his academic career, beginning as a lecturer and later serving as an associate professor. He has contributed to both the School of Civil Engineering and the School of Intelligent Construction and Civil Engineering. His work includes teaching, guiding students, and carrying out research in applied geotechnical engineering and intelligent construction methods.

Professional Development

Dr. Ma Haohao’s professional development reflects a strong commitment to advancing geotechnical engineering and intelligent construction. He has continuously deepened his expertise by applying new testing techniques, such as fiber optic sensing and centrifugal modeling, while also integrating intelligent technologies into soil analysis and foundation studies. His participation in interdisciplinary collaborations, research publications, and academic exchanges has strengthened his ability to bridge theoretical knowledge with practical solutions. Through these efforts, he has cultivated a professional profile that emphasizes innovation, teaching excellence, and impactful contributions to the development of civil and geotechnical engineering practices.

Research Interests 

Dr. Ma’s research focus lies in the field of geotechnical engineering with an emphasis on intelligent construction applications. His studies address soil parameter inversion, slope instability, and foundation pit deformation, while also exploring advanced methods such as neural networks and fiber optic sensing for monitoring and prediction. He is particularly interested in combining artificial intelligence with geotechnical analysis to enhance construction safety and performance. By concentrating on the integration of theoretical modeling and experimental validation, his research aims to solve practical engineering problems, improve structural durability, and support the sustainable development of civil infrastructure projects.

Awards and Recognitions 

Dr. Ma has achieved recognition through his contributions to geotechnical research and engineering practice. His work includes the authorship of academic publications in international and national journals, highlighting his scholarly influence in the field. He has co-authored a specialized monograph on tunnel durability and is the inventor of a patented geotechnical soil testing device, which underscores his ability to translate academic insights into applied technologies. These achievements, combined with his dedication to teaching and mentoring, reflect his growing impact and recognition within the academic and engineering communities.

Top Noted Publications 

Title: Small-sample-oriented time-dependent reliability calculational methodology for tunnel lining structures
Year: 2025

Title: Centrifugal model test study on instability mechanism by rain of widened roadbed slope
Year: 2023

Conclusion

In conclusion, Dr. Ma Haohao is an accomplished academic whose career reflects a balance of education, research, and innovation in geotechnical engineering. His dedication to teaching, combined with his scholarly publications and patented contributions, demonstrates a commitment to advancing both theoretical knowledge and practical engineering applications. By integrating intelligent technologies into geotechnical research, he continues to shape the future of civil engineering education and practice. His achievements illustrate not only academic excellence but also a forward-looking vision for sustainable and intelligent construction development.