Cui Xinjie | Properties and Performance | Research Excellence Award

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Cui Xinjie | Properties and Performance | Research Excellence Award

Dr. Cui Xinjie at Northeast Forestry University | China

Dr. Cui Xinjie is a researcher and educator specializing in wood science, with a strong academic background and extensive hands-on experience in wood anatomy, wood identification, wood modification, and archaeological wood preservation. She received her Ph.D. in Wood Science from Kyushu University, Japan, where her doctoral work focused on the natural weathering behavior and weatherproof treatment strategies for Cunninghamia lanceolata, producing influential SCI-indexed publications in Forests. She previously earned her M.Sc. in Wood Science and Technology from Southwest Forestry University, where she conducted pioneering research on species identification and decay classification of wooden remains from the Haimenkou archaeological site. Notably, the four-level decay grading standard she developed has been widely adopted by scholars working on archaeological wood. Dr. Cui has demonstrated exceptional technical proficiency in wood anatomy, completing the identification of 96 wood samples during her master’s studies and preparing over 3,000 permanent microscopic sections for archaeological research, facilitating high-quality analyses of ancient wooden artifacts. Since joining Beihua University, she has served as Secretary for Discipline and Scientific Research and currently leads the Wood Science and Engineering Program while supervising graduate students. She teaches core courses such as Wood Science, Scientific Paper Writing, and Wood Physics and Chemistry, contributing significantly to curriculum development and pedagogical innovation. Her academic contributions also include co-authoring chapters in a major volume on conservation technologies for wooden cultural relics from the Haimenkou site and presenting her research at international and national conferences in China, Japan, and beyond. Dr. Cui has led multiple teaching reform projects at Beihua University and has been recognized with honors such as the National Scholarship and Outstanding Thesis Awards. Her work bridges fundamental wood science, material behavior, and cultural heritage preservation, positioning her as a rising expert committed to advancing sustainable wood research and education.

Profile:Β  Scopus Β 
Featured PublicationsΒ 

Can Cui | Non Destructive Evaluation | Best Researcher Award

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Can Cui | Non Destructive Evaluation | Best Researcher Award

Dr. Can Cui at Zhengzhou University | China

Dr. Can Cui is a Lecturer at the School of Water Resources and Transportation, Zhengzhou University, whose research spans intelligent detection technologies, transportation engineering, machine vision, and structural health monitoring. He earned his Bachelor’s, Master’s, and Doctoral degrees in Transportation Engineering from Central South University between 2009 and 2020, establishing a strong academic foundation in transportation systems and computational methods. After completing his Ph.D., he began his academic career as a Lecturer in the School of Civil Engineering at Zhengzhou University (2021–2022) before transitioning to his current position in July 2022. Over the past several years, Dr. Cui has played leading roles in multiple significant research projects, including a key scientific research project funded by the Shenzhen Municipal Science and Technology Department on machine vision evaluation of honeycomb materials for train collision energy absorption, as well as major projects supported by the China Railway Seventh Bureau Group focusing on 5G digitalization of highway maintenance equipment and fatigue life assessment of bridge cable systems. His scholarly work includes impactful publications in internationally recognized journals such as Automation in Construction, Composites Part B: Engineering, Buildings, the Journal of Railway Science and Engineering, and the Journal of Sandwich Structures and Materials. He has contributed as sole first author, sole corresponding author, and key collaborator in studies involving YOLO-based defect detection, dynamic stiffness analysis, and geometric identification of honeycomb structures. Dr. Cui has also established a strong presence in technological innovation, holding more than ten Chinese and U.S. patents related to geometric morphology evaluation, honeycomb regularity detection, infrared-based grouting quality assessment, and deformation measurement using DIC technology. Through his integration of machine vision, structural mechanics, and intelligent sensing, Dr. Cui continues to advance digital and automation-driven solutions for transportation infrastructure safety and performance.

Profile:Β  Scopus | Orcid
Featured PublicationsΒ 

Rosa Martha PΓ©rez GutiΓ©rrez | Metal Matrix Composites | Breakthrough Research Award

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Rosa Martha PΓ©rez GutiΓ©rrez | Metal Matrix Composites | Breakthrough Research Award

Dr. Rosa Martha PΓ©rez GutiΓ©rrez | Instituto PolitΓ©cnico Nacional | Mexico

Dr. Rosa Martha PΓ©rez GutiΓ©rrez is a distinguished Mexican scientist with a lifelong dedication to biological sciences, pharmacognosy, and natural product research. She earned her Bachelor’s degree in Industrial Pharmaceutical Chemistry from the Escuela Nacional de Ciencias BiolΓ³gicas, Instituto PolitΓ©cnico Nacional (IPN) between 1961 and 1964, and later completed her Doctorate in Biological Sciences at Universidad AutΓ³noma Metropolitana-Xochimilco in 1997, graduating with the Medal of Merit and recognition as the first doctoral graduate of her program. Over her illustrious career, she has served in prominent teaching and research roles across several prestigious institutions, including the Escuela Nacional de Ciencias BiolΓ³gicas, Universidad Nacional AutΓ³noma de MΓ©xico (UNAM), Universidad La Salle, and IPN’s Escuela Superior de IngenierΓ­a QuΓ­mica e Industrias Extractivas (ESIQIE), where she continues as Head of the Natural Products Research Laboratory. Dr. PΓ©rez GutiΓ©rrez has made remarkable contributions as a professor of Organic Chemistry, Phytochemistry, and Toxicology, and has organized and presented numerous national and international courses and conferences on mass spectrometry, environmental contamination, and bioactive compounds. Her pioneering research, supported by CONACYT and other agencies, has explored natural antioxidants, antidiabetic and anti-obesity agents, and the biosynthesis of silver nanoparticles with biomedical applications. She has authored and coordinated various scientific projects focused on Mexican medicinal plants, marine organisms, and phytochemicals, contributing significantly to pharmacological innovation. Beyond her research, she has served on editorial boards of leading journals such as Pharmacognosy Magazine and Pharmacognosy Research and participated in national scientific committees and award juries. Her international influence is reflected through invited lectures in Poland and Spain, highlighting her role as a global ambassador of Mexican natural product science. Through her academic excellence and pioneering spirit, Dr. PΓ©rez GutiΓ©rrez has become a trailblazer and mentor in biological and pharmaceutical research in Latin America.

Profile: Scopus | Googlescholar

Featured PublicationsΒ 

PΓ©rez GutiΓ©rrez, R. M., TΓ©llez GΓ³mez, J., Mota Flores, J. M., Corea TΓ©llez, M., & MuΓ±iz RamΓ­rez, A. (2025). Baicalin–Myricetin-coated selenium nanoparticles mitigate pathology in an AΞ²1-42 mice model of Alzheimer’s disease. Pharmaceuticals, 18(9), 1391.

MuΓ±iz-RamΓ­rez, A., LΓ³pez, B. A., & PΓ©rez GutiΓ©rrez, R. M. (2025). Starch biopolymer functionalized with Ipomoea batatas extract: A natural system for bioactive delivery in type II diabetes. Current Drug Delivery.

GarcΓ­a-Campoy, A. H., PΓ©rez GutiΓ©rrez, R. M., GarcΓ­a BΓ‘ez, E. V., & MuΓ±iz-RamΓ­rez, A. (2024). Methanolic extract of Tillandsia recurvata reduces blood glucose, triglycerides, and cholesterol levels. Botanical Sciences, 102(4), 1251–1264.

PΓ©rez GutiΓ©rrez, R. M., RodrΓ­guez-Serrano, L. M., Laguna-Chimal, J. F., de la Luz Corea, M., Paredes-Carrera, S. P., & TΓ©llez GΓ³mez, J. (2024). Geniposide and harpagoside functionalized cerium oxide nanoparticles as a potential neuroprotective. International Journal of Molecular Sciences, 25(8), 4262.

GonzΓ‘lez-Anota, D. E., Paredes-Carrera, S. P., PΓ©rez-GutiΓ©rrez, R. M., Arciniega-Caballero, B., Borja-Urby, R., SΓ‘nchez-Ochoa, J. C., & Rojas-GarcΓ­a, E. (2023). Green synthesis by microwave irradiation of TiOβ‚‚ using Cinnamomum verum and the application in photocatalysis. Journal of Chemistry, 2023, Article 2245685.

Dr. Kai Xiong | Material | Best Researcher Award

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Dr. Kai Xiong | Material | Best Researcher Award

Dr. Kai Xiong , Yunnan University , China.

Dr. Kai Xiong, Ph.D., is a Professor at Yunnan University and a Master Supervisor. A high-level introduced young talent in Yunnan Province and a core faculty member at Donglu, he specializes in multi-scale simulation and the design of rare and high-entropy materials. He has led major research projects, including one National Natural Science Foundation of China (NSFC) project and multiple provincial programs. With over 100 published papers, five software copyrights, and a textbook, he has significantly contributed to material science. His work bridges fundamental research with industrial applications, enhancing innovation in non-ferrous metal materials. πŸ”¬πŸ“–

Publication Profile

Scopus
Orcid

Education & Experience πŸŽ“πŸ”¬

  • Ph.D. in Materials Science, specialized in multi-scale simulation and material design πŸ—οΈ
  • Professor, Yunnan University, mentoring master’s students and conducting advanced research πŸ“š
  • High-level Young Talent, recognized by Yunnan Province for academic excellence πŸ…
  • Young & Middle-Aged Backbone Teacher, contributing to scientific advancement at Yunnan University πŸ‘¨β€πŸ«
  • Principal Investigator, leading multiple national and provincial research projects πŸ”¬
  • Industry Collaborations, working on enterprise-sponsored research for material innovation βš™οΈ

Suitability Summmary

Dr. Kai Xiong, a distinguished Professor at Yunnan University, is an ideal candidate for the Best Researcher Award due to his exceptional contributions to material science and engineering. As a high-level introduced young talent in Yunnan Province and a key faculty member at Yunnan University, he has significantly advanced the field of multi-scale simulation and the design of rare and precious non-ferrous metals and high-entropy materials. His research has had a profound impact on the development of next-generation materials, contributing both theoretically and practically to the field.

Professional Development πŸš€

Dr. Kai Xiong has made remarkable strides in computational materials science, focusing on multi-scale simulation and the development of advanced non-ferrous and high-entropy materials. His expertise spans theoretical modeling and experimental validation, enabling breakthrough discoveries in material performance enhancement. He actively mentors students, contributes to industrial applications, and collaborates on national and provincial projects. His research has yielded patented innovations, software tools, and a specialized textbook. Through continuous learning and interdisciplinary collaboration, he pushes the boundaries of material science, bridging academia and industry to drive technological advancements in rare and precious metals. πŸ”πŸ”§πŸ“˜

Research Focus πŸ”¬πŸ’‘

Dr. Kai Xiong specializes in the multi-scale simulation and design of rare and precious non-ferrous metals and high-entropy materials. His work integrates computational modeling, experimental validation, and industrial applications to enhance material properties. Key areas include atomic-level material behavior analysis, nanostructured alloy development, and mechanical and thermal stability optimization. His research plays a vital role in advanced manufacturing, aerospace, and electronic applications, improving material efficiency and sustainability. With a strong foundation in applied physics, chemistry, and engineering, he contributes to cutting-edge advancements that redefine the future of materials science. πŸ—οΈβš‘πŸ”

Awards & Honors πŸ†πŸŽ–οΈ

  • High-Level Young Talent, Yunnan Province πŸ…
  • Young & Middle-Aged Backbone Teacher, Yunnan University πŸŽ“
  • Principal Investigator of NSFC Project πŸ”¬
  • Leader of Yunnan Province Major Science & Technology Programs πŸš€
  • Published 100+ Research Papers in Prestigious Journals πŸ“–
  • Author of a Specialized Material Science Textbook πŸ“š
  • Holder of 5 Software Copyrights for Scientific Innovations πŸ’»

Publication Top Notes

  • Machine learning inverse design of high-strength mid-temperature Ag-based solders

    • Journal: Materials & Design
    • Publication Date: April 2025
    • DOI: 10.1016/j.matdes.2025.113736
    • Contributors: Chengchen Jin, Kai Xiong, Yingwu Wang, Shunmeng Zhang, Yunyang Ye, Hui Fang, Aimin Zhang, Hua Dai, Yong Mao

  • Phase size induced anomalous plastic behavior in AuSn-Auβ‚…Sn duplex alloy

    • Journal: Materials Science and Engineering: A
    • Publication Date: March 2025
    • DOI: 10.1016/j.msea.2025.147911
    • Contributors: Rui Ma, Yingjie Sun, Hualong Ge, Wenyan Zhou, Haijun Wu, Lihua Ma, Shaoping Lu, Shunmeng Zhang, Zhiwei Xia, Kai Xiong, et al.

  • High‐throughput calculation integrated with stacking ensemble machine learning for predicting elastic properties of refractory multi‐principal element alloys

    • Journal: Materials Genome Engineering Advances
    • Publication Date: March 12, 2025
    • DOI: 10.1002/mgea.70004
    • Contributors: Chengchen Jin, Kai Xiong, Congtao Luo, Hui Fang, Chaoguang Pu, Hua Dai, Aimin Zhang, Shunmeng Zhang, Yingwu Wang

  • Strength-ductility trade-off in NbTaTiV refractory multi-principal element alloys

    • Journal: Materials Science and Engineering: A
    • Publication Date: February 2025
    • DOI: 10.1016/j.msea.2024.147677
    • Contributors: Yingwu Wang, Kai Xiong, Lingjie Yang, Shunmeng Zhang, Hui Fang, Hua Dai, Chengchen Jin, Yunyang Ye, Congtao Luo, Junjie He, et al.

  • Hf-induced strengthening and lattice distortion in HfNbTaTiV refractory multi-principal element alloys

    • Journal: Journal of Materials Research and Technology
    • Publication Date: January 2025
    • DOI: 10.1016/j.jmrt.2024.12.256
    • Contributors: Yingwu Wang, Kai Xiong, Wei Li, Chengchen Jin, Haijun Wu, Hua Dai, Zihang Yang, Hongmo Yang, Shunmeng Zhang

 

Nirav Bhatt | Analysis | Best Researcher Award

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Dr. Nirav Bhatt | Analysis | Best Researcher Award

Associate Professor at CHARUSAT, India

Dr. Nirav H. Bhatt is an accomplished academic and researcher with a Ph.D. in AI/ML from CHARUSAT. He has over 15 years of experience in teaching, mentoring, and research. Dr. Bhatt has guided more than 50 students, both at the Master’s and Bachelor’s levels, and is recognized as a top-performing mentor by NPTEL. His research, which focuses on low-latency processing and data analytics, has been presented at prestigious international conferences and published in renowned journals. He has also conducted expert talks and seminars on big data and database systems at multiple institutions. Dr. Bhatt has received numerous awards, including recognition from AICTE and Texas Instruments, and has played a pivotal role in promoting NPTEL courses in regional languages. With technical expertise in machine learning, cloud computing, and data science, he continues to contribute significantly to both academia and industry.

Professional ProfileΒ 

Education

Dr. Nirav H. Bhatt has a strong academic foundation with a Ph.D. in AI/ML from CHARUSAT, completed in 2022. Prior to his doctorate, he earned a Master’s degree in Computer Engineering (M.E.C.E.) from DDU in 2009 with a score of 66.33%, and a Bachelor’s degree in Information Technology (B.E.I.T.) from Gujarat University in 2006, where he scored 63.76%. He also holds a Diploma in Information Technology (D.I.T.) from TEB, which he completed in 2003 with an impressive score of 71.62%. His academic journey reflects a consistent dedication to computer science and technology. Dr. Bhatt’s doctoral thesis focused on a novel approach for low-latency processing in stream data, further contributing to the field of AI and machine learning. His educational achievements are complemented by certifications such as Microsoft Certified MTA in Database Fundamentals, highlighting his expertise and ongoing commitment to professional growth.

Professional Experience

Dr. Nirav H. Bhatt has over 15 years of professional experience in academia and research. Since 2008, he has been a faculty member at Charotar University of Science and Technology (CHARUSAT), where he currently serves as the Head of the Department of AI-ML and an Associate Professor. During his tenure, Dr. Bhatt has significantly contributed to the development of the AI/ML curriculum and research programs. He has also held a position as an Assistant Professor at C. U. Shah College of Engineering and Technology for a year. Dr. Bhatt has played a pivotal role as a mentor, guiding over 50 students in computer science and receiving recognition as a top-performing mentor by NPTEL. Additionally, he has conducted expert talks, seminars, and online courses in areas such as big data analytics and database systems. His experience extends to industry training with leading organizations, strengthening his practical knowledge in machine learning, cloud computing, and data science.

Research Interest

Dr. Nirav H. Bhatt’s research interests primarily lie in the fields of Artificial Intelligence (AI), Machine Learning (ML), Big Data, and Data Science. His work focuses on developing innovative solutions for low-latency processing in stream data, with an emphasis on enhancing the efficiency and scalability of data-driven systems. Dr. Bhatt’s doctoral research, which introduced a novel approach to stream data processing, has contributed significantly to advancing the understanding of real-time data analytics. His expertise also extends to cloud platforms such as Google Cloud and AWS, where he explores the integration of machine learning algorithms in cloud environments to handle large-scale data processing. Additionally, he is passionate about data visualization, the application of AI in database systems, and the development of intelligent systems for big data analytics. His research is aimed at solving practical challenges in academia and industry, particularly in optimizing data processing and machine learning models for real-world applications.

Award and Honor

Dr. Nirav H. Bhatt has received numerous awards and honors in recognition of his contributions to academia and research. Notably, he has been awarded by AICTE and Texas Instruments for fostering collaboration between government, academia, and industry, particularly through his coordination of the “TI Embedded System Design using MSP430” MOOC in 2021. Dr. Bhatt has also been recognized for his consistent excellence as a mentor, earning the title of Top Performing Mentor by NPTEL for several consecutive years (2016–2020). His leadership in Swayam-NPTEL courses has garnered multiple accolades, including recognition for his translation work in regional languages for courses such as “Fundamentals of Database Systems” and “Programming in C.” Additionally, he was awarded Best Research Paper Presentation at the SSIC-2019 International Springer Conference and received multiple certifications for his contribution to the CHARUSAT NPTEL Local Chapter, achieving AAA and AA grades over several years. These awards highlight his dedication to education and research.

Conclusion

Dr. Nirav H. Bhatt is an exceptional candidate for the Best Researcher Award. His academic achievements, extensive contributions to the field of AI and ML, as well as his mentoring roles, distinguish him as a leader in both research and education. His awards, recognition by NPTEL, and commitment to research make him a deserving nominee. However, focusing on expanding his international collaborations and enhancing the practical impact of his research could propel him to even greater heights in the academic community. Based on his accomplishments and contributions, he shows a strong potential to receive the Best Researcher Award.

Publications Top Noted

  • Smart systems and IoT: Innovations in computing
    Authors: AK Somani, RS Shekhawat, A Mundra, S Srivastava, VK Verma
    Year: 2020
    Citation: 35
  • A survey on comparative study of wireless sensor network topologies
    Authors: J Soparia, N Bhatt
    Year: 2014
    Citation: 33
  • Performance comparison of different sorting algorithms
    Authors: P Prajapati, N Bhatt, N Bhatt
    Year: 2017
    Citation: 21
  • Ranking of classifiers based on dataset characteristics using active meta learning
    Authors: N Bhatt, A Thakkar, A Ganatra, N Bhatt
    Year: 2013
    Citation: 13
  • Survey and evolution study focusing comparative analysis and future research direction in the field of recommendation system specific to collaborative filtering approach
    Authors: A Patel, A Thakkar, N Bhatt, P Prajapati
    Year: 2019
    Citation: 11
  • An efficient approach for low latency processing in stream data
    Authors: N Bhatt, A Thakkar
    Year: 2021
    Citation: 10
  • A review of soft computing techniques for time series forecasting
    Authors: A Sanghani, N Bhatt, NC Chauhan
    Year: 2016
    Citation: 10
  • Survey on Anonymization in Privacy Preserving Data Mining
    Authors: F Presswala, A Thakkar, N Bhatt
    Year: 2015
    Citation: 7
  • Experimental Analysis on Processing of Unbounded Data
    Authors: N Bhatt, A Thakkar
    Year: 2019
    Citation: 6
  • Proceedings of the international conference on ismac in computational vision and bio-engineering 2018 (ismac-cvb)
    Authors: D Pandian, X Fernando, Z Baig, F Shi
    Year: 2019
    Citation: 6
  • A survey on issues of data stream mining in classification
    Authors: R Jani, N Bhatt, C Shah
    Year: 2018
    Citation: 6
  • Deep learning: a new perspective
    Authors: N Bhatt, N Bhatt, P Prajapati
    Year: 2017
    Citation: 6
  • Algorithm selection via meta-learning and active meta-learning
    Authors: N Bhatt, A Thakkar, N Bhatt, P Prajapati
    Year: 2020
    Citation: 5
  • Query expansion for effective retrieval from microblog
    Authors: S Patel, N Bhatt, C Shah
    Year: 2017
    Citation: 5
  • A survey of information retrieval on microblog
    Authors: S Patel, N Bhatt, C Shah
    Year: 2017
    Citation: 5

Bin Huang | Design of Materials and Components | Best Researcher Award

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Assist. Prof. Dr. Bin Huang | Design of Materials and Components | Best Researcher Award

JiangXi University of Science and Technology, China

Dr. Bin Huang, an Associate Professor at Jiangxi University of Science and Technology, specializes in organic-inorganic photovoltaic and interfacial materials. Born in September 1991, he earned his Ph.D. in Polymer Chemistry from Nanchang University in 2020, following a postgraduate degree in the same field. Dr. Huang has gained international research exposure through his collaborative work at Ulsan National Institute of Science and Technology (UNIST) under the guidance of Prof. Changduk Yang. His prolific academic contributions include over 20 impactful publications in prestigious journals like Advanced Functional Materials, Angewandte Chemie, and Advanced Materials. As a first or corresponding author, his research achievements include advancements in polymer solar cells, crystallization kinetics in perovskite solar cells, and high-performance terpolymers. Dr. Huang’s innovative approaches to material design and his focus on sustainable energy solutions have established him as a prominent figure in the field of photovoltaic materials and polymer chemistry.

Professional Profie

Education

Dr. Bin Huang has built an impressive educational foundation in polymer chemistry and materials science. He earned his Ph.D. in Polymer Chemistry from Nanchang University in 2020, where he focused on advanced research in organic-inorganic hybrid materials. Prior to his doctoral studies, Dr. Huang completed his postgraduate degree in Polymer Chemistry at Nanchang University, gaining in-depth expertise in polymer synthesis and characterization. His academic journey also included international exposure at Ulsan National Institute of Science and Technology (UNIST) in South Korea, where he collaborated with renowned researcher Prof. Changduk Yang on cutting-edge projects in photovoltaic materials. Through rigorous training and innovative research during his education, Dr. Huang developed a strong command of material science, crystallization kinetics, and interfacial engineering, laying the groundwork for his significant contributions to the development of high-performance solar cell technologies and sustainable energy solutions.

Professional Experience

Dr. Bin Huang has amassed significant professional experience in polymer chemistry and materials science, specializing in photovoltaic technologies. Currently an Assistant Professor, he plays a pivotal role in advancing research on organic and hybrid perovskite solar cells, focusing on their stability and efficiency. Before his academic appointment, Dr. Huang collaborated with Prof. Changduk Yang at Ulsan National Institute of Science and Technology (UNIST), contributing to groundbreaking work in organic photovoltaics. His research has centered on developing novel organic-inorganic hybrid materials, enhancing device performance, and addressing stability challenges. With expertise in material crystallization, interfacial engineering, and device optimization, Dr. Huang has made substantial contributions to renewable energy technologies. His professional journey reflects a commitment to sustainable energy solutions, evident through his extensive publication record and research impact. Dr. Huang’s experience has solidified his position as a leading figure in advancing next-generation solar energy technologies.

Research Interest

Dr. Bin Huang’s research interests lie at the intersection of polymer chemistry, materials science, and renewable energy, with a strong focus on advancing photovoltaic technologies. His work primarily revolves around the development of high-performance organic and hybrid perovskite solar cells, emphasizing their stability, efficiency, and scalability. Dr. Huang is particularly interested in exploring innovative approaches to material synthesis and crystallization, aiming to enhance device performance and address the critical challenges of long-term stability. He is deeply engaged in interfacial engineering, light-harvesting materials, and the design of novel organic-inorganic hybrids to improve energy conversion efficiencies. Beyond photovoltaics, Dr. Huang is passionate about creating sustainable materials and scalable manufacturing techniques to accelerate the transition to green energy. His research contributes to the broader goal of addressing global energy challenges through cutting-edge, interdisciplinary solutions in advanced materials and clean energy technologies.

Award and Honor

Assist. Prof. Dr. Bin Huang has received numerous awards and honors in recognition of his outstanding contributions to the field of renewable energy and materials science. He was honored with the β€œYoung Scientist Award” for his pioneering work in organic and hybrid perovskite solar cells. Dr. Huang has also been the recipient of prestigious research grants, including funding from national and international organizations dedicated to advancing clean energy technologies. His groundbreaking publications have earned him accolades such as the β€œBest Paper Award” at renowned international conferences. Additionally, he was recognized with the β€œExcellence in Teaching Award” for his innovative and impactful approaches to mentoring and education. Dr. Huang’s dedication to scientific innovation and sustainability has also earned him a spot on the β€œTop 100 Influential Researchers in Energy Materials” list. These accolades underscore his exceptional leadership and contributions to advancing renewable energy solutions globally.

Conclusion

Dr. Bin Huang is a highly deserving candidate for the Best Researcher Award due to his groundbreaking contributions to the field of organic-inorganic photovoltaic materials. His exceptional publication record, international collaborations, and innovative research in renewable energy position him as a leader in his field. To further strengthen his profile, he could focus on securing prominent leadership roles in international projects, expanding his outreach efforts, and engaging in more interdisciplinary research. With these additional efforts, he would not only be a contender for this award but also for other prestigious honors in the global scientific community.

Publications Top Noted

  1. Title: Chiroptical properties, structure, and absolute configuration of heterosubstituted 2(5H)-furanonesAuthors: Jacek K. Gawronski, Quing Hua Chen, Zhe Geng, Bin Huang, M. Rosario Martin, Ana I. Mateo, Malgorzata Brzostowska, Urszula Rychlewska, Ben L. FeringaYear: 1998Citation: Gawronski, J. K., Chen, Q. H., Geng, Z., Huang, B., Martin, M. R., Mateo, A. I., Brzostowska, M., Rychlewska, U., & Feringa, B. L. (1998). Chiroptical properties, structure, and absolute configuration of heterosubstituted 2(5H)-furanones. Chirality, 9(5-6).
  1. Title: Does the beta regularization parameter of Bayesian penalized likelihood reconstruction always affect the quantification accuracy and image quality of positron emission tomography computed tomography?Authors: Zhifang Wu, Binwei Guo, Bin Huang, Bin Zhao, Zhixing Qin, Xinzhong Hao, Meng Liang, Jun Xie, Sijin LiYear: 2021Citation: Wu, Z., Guo, B., Huang, B., Zhao, B., Qin, Z., Hao, X., Liang, M., Xie, J., & Li, S. (2021). Does the beta regularization parameter of Bayesian penalized likelihood reconstruction always affect the quantification accuracy and image quality of positron emission tomography computed tomography? Journal of Applied Clinical Medical Physics, 22(3).
  2. Title: American College of Rheumatology provisional criteria for defining clinical inactive disease in select categories of juvenile idiopathic arthritisAuthors: Carol A. Wallace, Edward H. Giannini, Bin Huang, Lukasz Itert, Nicolino Ruperto, Childhood Arthritis Rheumatology Research Alliance (CARRA), Pediatric Rheumatology Collaborative Study Group (PRCSG), Paediatric Rheumatology International Trials Organisation (PRINTO)Year: 2011Citation: Wallace, C. A., Giannini, E. H., Huang, B., Itert, L., Ruperto, N., CARRA, PRCSG, & PRINTO. (2011). American College of Rheumatology provisional criteria for defining clinical inactive disease in select categories of juvenile idiopathic arthritis. Arthritis Care & Research, 63(7).
  3. Title: Determinants of Health-Related Quality of Life in Children Newly Diagnosed With Juvenile Idiopathic ArthritisAuthors: Michael Seid, Bin Huang, Stacey Niehaus, Hermine I. Brunner, Daniel J. LovellYear: 2013Citation: Seid, M., Huang, B., Niehaus, S., Brunner, H. I., & Lovell, D. J. (2013). Determinants of health-related quality of life in children newly diagnosed with juvenile idiopathic arthritis. Arthritis Care & Research, 66(2).
  4. Title: Lack of Concordance in Interrater Scoring of the Provider’s Global Assessment of Children With Juvenile Idiopathic Arthritis With Low Disease ActivityAuthors: Janalee Taylor, Edward H. Giannini, Daniel J. Lovell, Bin Huang, Esi M. MorganYear: 2017Citation: Taylor, J., Giannini, E. H., Lovell, D. J., Huang, B., & Morgan, E. M. (2017). Lack of concordance in interrater scoring of the provider’s global assessment of children with juvenile idiopathic arthritis with low disease activity. Arthritis Care & Research, 70(1).
  1. Title: Functional Ability and Health-Related Quality of Life in Randomized Controlled Trials of Tocilizumab in Patients With Juvenile Idiopathic ArthritisAuthors: Hermine I. Brunner, Chen Chen, Francesca Bovis, Fabrizio De Benedetti, Graciela Espada, Rik Joos, Jonathan Akikusa, Jeffrey Chaitow, Alina Lucica Boteanu, Yukiko Kimura, Christoph Rietschel, Daniel Siri, Elzbieta Smolewska, Heinrike Schmeling, Diane E. Brown, Alberto Martini, Daniel J. Lovell, Bin Huang, Nicolino RupertoYear: 2020Citation: Brunner, H. I., Chen, C., Bovis, F., De Benedetti, F., Espada, G., Joos, R., Akikusa, J., Chaitow, J., Boteanu, A. L., Kimura, Y., Rietschel, C., Siri, D., Smolewska, E., Schmeling, H., Brown, D. E., Martini, A., Lovell, D. J., Huang, B., & Ruperto, N. (2020). Functional ability and health-related quality of life in randomized controlled trials of tocilizumab in patients with juvenile idiopathic arthritis. Arthritis Care & Research, 73(9).
  1. Title: Biomarker Changes in Response to Tofacitinib Treatment in Patients With Polyarticular-Course Juvenile Idiopathic ArthritisAuthors: Ekemini A. Ogbu, Hermine I. Brunner, Esraa Eloseily, Yonatan Butbul Aviel, Kabita Nanda, Heinrike Schmeling, Heather Tory, Yosef Uziel, Diego Oscar Viola, Dawn M. Wahezi, Stacey E. Tarvin, Alyssa Sproles, Chen Chen, Nicolino Ruperto, Bin Huang, Alexei Grom, Sherry ThorntonYear: 2024Citation: Ogbu, E. A., Brunner, H. I., Eloseily, E., Butbul Aviel, Y., Nanda, K., Schmeling, H., Tory, H., Uziel, Y., Viola, D. O., Wahezi, D. M., Tarvin, S. E., Sproles, A., Chen, C., Ruperto, N., Huang, B., Grom, A., & Thornton, S. (2024). Biomarker changes in response to tofacitinib treatment in patients with polyarticular-course juvenile idiopathic arthritis. Arthritis Care & Research, 76(12).
  2. Title: Implementation of the Lupus Low Disease Activity State in Pediatric Rheumatology Care: The Role of the Visual Analog ScaleAuthors: Ekemini A. Ogbu, Anna Carmela P. Sagcal-Gironella, B. Anne Eberhard, Jennifer M. Huggins, Marisa S. Klein-Gitelman, Karen Onel, Chen Chen, Bin Huang, Hermine I. BrunnerYear: 2024Citation: Ogbu, E. A., Sagcal-Gironella, A. C. P., Eberhard, B. A., Huggins, J. M., Klein-Gitelman, M. S., Onel, K., Chen, C., Huang, B., & Brunner, H. I. (2024). Implementation of the lupus low disease activity state in pediatric rheumatology care: The role of the visual analog scale. ACR Open Rheumatology, 7(1).

Hongwei Yu | Materials Science | Best Researcher Award

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Hongwei Yu | Materials Science | Best Researcher Award

Prof. Hongwei Yu, Tianjin University of Technology, China.

Publication profile

Scopus
Orcid

Education and Experience

  • Ph.D. in Materials Physics and Chemistry
    Xinjiang Technical Institute of Physics & Chemistry, CAS (2009-2014)Β πŸŽ“
    Advisor: Shilie Pan
  • Bachelor of Engineering in Polymer Materials Science and Engineering
    Jilin University, College of Materials Science and Engineering (2005-2009)Β πŸ“š
  • Post-doctoral Fellow
    University of Houston, with Prof. P. Shiv Halasyamani (2014-2017)Β πŸ”¬
  • Post-doctoral Fellow
    Northwestern University, with Prof. Kenneth R. Poeppelmeier (2017-2018)Β πŸ”¬
  • Professor
    Xinjiang Technical Institute of Physics & Chemistry, CAS (2017-2018)Β πŸ‘¨β€πŸ«
  • Professor
    Tianjin University of Technology, China (2018-present) 🏫

Suitability For The Award

Prof. Hongwei Yu is an exceptional candidate for the Best Researcher Award due to his outstanding contributions to the field of materials science, particularly in materials physics and chemistry. His impressive academic background, extensive research experience, and leadership in advancing novel materials make him an ideal choice for this prestigious recognition.

Professional DevelopmentΒ 

Awards and Honors

  • Excellent Post-doctoral Researcher AwardΒ (University of Houston)Β πŸ…
  • Outstanding Professor AwardΒ (Tianjin University of Technology) 🌟
  • Best Paper AwardΒ in materials science conferenceΒ πŸ†
  • Research Excellence AwardΒ (Xinjiang Technical Institute of Physics & Chemistry)Β πŸ…

Publications Top Notes

  • ACuGa6S10 (A = Rb, Cs): Design and Synthesis of Two New Cavity-Chalcopyrite Chalcogenides Based on β€œIterative Substitution” Strategy – Chemistry – A European Journal, 2025, 31(1), e202403515Β πŸ“˜
  • K15La7(BO3)12: A KBBF-Like Nonlinear-Optical Material with a Short Cutoff Edge and a Strong Second-Harmonic-Generation Response – Inorganic Chemistry, 2024, 63(51), pp. 24059–24064Β πŸ“—
  • High Efficiency Continuous Wave and Q-Switched Laser Based on an Orthorhombic Yb:GdScO3 Crystal in the (112) Direction with a Broad Emission Bandwidth of 93 nm – Optics Express, 2024, 32(26), pp. 47111–47122🌟
  • A Novel Chiral Organic-Inorganic Metal Halide, (C6H16N2)3Zn3Br12Β·2H2O: Synthesis, Crystal Structure, and Characterization – Materials Today Chemistry, 2024, 42, 102417Β πŸ”¬
  • LaMg6Ga6S16: A Chemically Stable Divalent Lanthanide Chalcogenide – Nature Communications, 2024, 15(1), 2959 – 7 Citations 🌱
  • Ba2GeF2Q3 (Q = S, Se) and Ba3GeF2Se4: New F-Based Chalcohalides with Enhanced Birefringence – Chemical Communications, 2024, 60(87), pp. 12734–12737Β πŸ’‘
  • Reticular Chemistry-Aided Effective Design of New Second-Order Nonlinear Optical Selenites – Materials Horizons, 2024, 11(24), pp. 6435–6442Β Β βš›οΈ
  • Ae3[TO3][SnOQ3] (Ae = Sr, Ba; T = Si, Ge; Q = S, Se) and Ba3[CO3][MQ4] (M = Ge, Sn; Q = S, Se): Design and Syntheses of a Series of Heteroanionic Antiperovskite-Type Oxychalcogenides – Journal of the American Chemical Society, 2024, 146(38), pp. 26081–26094 – 1 CitationΒ πŸ§ͺ
  • K3Y3(BO3)4: A Potential UV Nonlinear-Optical Crystal Designed by a Chemical Substitution Strategy – Inorganic Chemistry, 2024, 63(38), pp. 17362–17366 – 1 CitationΒ πŸ”­

Farhadul Islam | Material Science | Best Researcher Award

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Farhadul Islam | Material Science | Best Researcher Award

Prof. Farhadul Islam, University of Rajshahi , Bangladesh.

Publication profile

Googlescholar

Education and Experience

  • PhDΒ in Cancer Molecular Pathology, Griffith University, Australia (2018)Β πŸŽ“
  • MPhilΒ in Biochemistry & Molecular Biology, University of Rajshahi, Bangladesh (2014) 🧬
  • MScΒ in Biochemistry & Molecular Biology, University of Rajshahi, Bangladesh (Top Scorer, First Class) (2006)Β πŸŽ“
  • BScΒ in Biochemistry & Molecular Biology, University of Rajshahi, Bangladesh (Top Scorer, First Class) (2005)Β πŸŽ“
  • Professor, Department of Biochemistry and Molecular Biology, University of Rajshahi (2023-Present)Β πŸ‘©β€πŸ”¬
  • Adjunct Professor, School of Medicine and Dentistry, Griffith University, Australia (2024-Present) 🏫
  • Post-doctoral Research Fellow, Griffith University, Australia (2019-2021)Β πŸ’Ό
  • Associate Professor, University of Rajshahi, Bangladesh (2018-2023)Β πŸ‘¨β€πŸ«

Suitability For The Award

Dr. Md. Farhadul Islam, a distinguished Professor in the Department of Biochemistry and Molecular Biology at the University of Rajshahi, Bangladesh, and Adjunct Professor at the School of Medicine and Dentistry, Griffith University, Australia, is nominated for theΒ Best Researcher AwardΒ due to his exceptional contributions to cancer research, drug development, and molecular marker discovery. His work, which spans a wide range of areas including cancer genetics, epigenetics, signaling, and the development of novel targeted therapies, has made significant advancements in the understanding and treatment of various cancers.

Professional DevelopmentΒ 

Awards and Honors

  • Academy Award 2023Β (Gold Medal: Junior Category – Biological), Bangladesh Academy of SciencesΒ πŸ…
  • Dean’s Award, Faculty of Sciences, University of Rajshahi, Bangladesh (2019, 2023)Β πŸ†
  • Chancellor’s Medal, Griffith University, Australia (2019)Β πŸ₯‡
  • Early Career Researcher Award, Institute for Glycomics, Griffith University, Australia (2020)Β πŸ…
  • Best Poster Award, International Conference on Science and Technology, University of Rajshahi, Bangladesh (2023)Β πŸ†
  • Best Teacher Award, Department of Biochemistry & Molecular Biology, University of Rajshahi (2022) 🏫
  • Best Speaker Award, Annual Botanical Conference, Bangladesh (2021) 🌱

Publications Top Notes

  • Optical biosensing strategies for DNA methylation analysisΒ –Β 63Β citations,Β 2017.Β πŸ”¬
  • Growth inhibition and apoptosis of Ehrlich ascites carcinoma cells by the methanol extract of Eucalyptus camaldulensisΒ –Β 63Β citations,Β 2014. 🌿
  • RETREG1 (FAM134B): A new player in human diseases: 15 years after the discovery in cancerΒ –Β 61Β citations,Β 2018. 🧬
  • Purification and characterization of a Ca2+-dependent novel lectin from Nymphaea nouchali tuber with antiproliferative activitiesΒ –Β 54Β citations,Β 2011.Β πŸ’§
  • Bioassay of Eucalyptus extracts for anticancer activity against Ehrlich ascites carcinoma (eac) cells in Swiss albino miceΒ –Β 49Β citations,Β 2012.Β πŸƒ
  • A new lectin from the tuberous rhizome of Kaempferia rotunda: isolation, characterization, antibacterial and antiproliferative activitiesΒ –Β 48Β citations,Β 2011. 🌸

Mahuya Das | Biodegradable Composites | Best Researcher Award

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Mahuya Das | Biodegradable Composites | Best Researcher Award

Dr. Mahuya Das, Greater Kolkata College of Engineering and Management, India.

Publication profile

Scopus
Orcid

Education and Experience

  • M. Tech. in Polymer Science and TechnologyΒ (1995)Β πŸŽ“
  • Ph.D. in Polymer Science and TechnologyΒ (Sept. 2008, University of Calcutta)Β πŸ“œ
  • Principal, Greater Kolkata College of Engineering and Management, JIS GroupΒ πŸ‘©β€πŸ«
  • Teaching Experience: 16 yearsΒ πŸ“–
  • Research Experience: 12 yearsΒ πŸ”
  • M. Tech Thesis Guidance: 5Β πŸ’Ό
  • Ph.D. Guidance: 1 submitted, 3 pursuingΒ πŸ§‘β€πŸŽ“

Suitability For The Award

Prof. Dr. Mahuya Das is an accomplished academic and researcher with over 15 years of experience in the field of Polymer Science and Technology. Her extensive contributions to teaching, research, and the development of innovative materials make her a strong candidate for the Best Researcher Award.

Professional Development (πŸ’ΌπŸ”¬)

Awards and Honors (πŸ†πŸŽ–οΈ)

  • Senior Research FellowshipΒ by CSIR, Govt of IndiaΒ πŸ†
  • Hottest Article AwardΒ from Wiley Interscience Publication (2008-2009)Β πŸ”₯
  • Invited SpeakerΒ at various national and international conferences 🎀
  • Guest FacultyΒ at Indian Institute of Packaging for 8 yearsΒ πŸ‘©β€πŸ«
  • ReviewerΒ for multiple SCI Indexed International JournalsΒ πŸ“‘

Publications

Jacques Demongeot | Biomathematics | Lifetime achievement Award

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Jacques Demongeot | Biomathematics | Lifetime achievement Award

Prof. Jacques Demongeot, University Grenoble Alpes, France.

Publication profile

Orcid

Googlescholar

Education and Experience

  • πŸŽ“Β B.Sc.Β in Mathematics – University of Dijon (1966)
  • πŸŽ“Β M.Sc.Β in Mathematics – University Joseph Fourier of Grenoble (1970)
  • πŸŽ–οΈΒ Second Lieutenant Diploma – Artillery School EAA, France (1968)
  • πŸŽ“Β Ph.D.Β in Computer Science – UJF Grenoble (1974)
  • πŸŽ“Β M.D.Β in Medicine – UJF Grenoble (1978)
  • πŸŽ“Β D.Sc.Β in Mathematics – UJF Grenoble (1983)
  • πŸŽ“Β AgrΓ©gation in Medicine – Ministry of National Education (1984)
  • πŸ‘¨β€πŸ«Β Professor and Head of Biostatistics at University Hospital Grenoble (1985-2022)
  • πŸ“ŠΒ DirectorΒ of TIM3, TIMC, and TIMC-IMAG labs (1986-2011)

Suitability for The Award

Dr. Jacques Demongeot’s illustrious career, spanning over five decades, exemplifies exceptional contributions to mathematics, biostatistics, and medical informatics. His extensive research output, leadership roles, and commitment to education and mentorship position him as a highly deserving candidate for the Lifetime Achievement Award.

Professional Development (πŸ’ΌπŸ”¬)

Awards and Honors (πŸ†πŸŽ–οΈ)

  • πŸ†Β Victoires de la MΓ©decine – CHU National Network (1989)
  • πŸ†Β TrophΓ©e National de l’Innovation – INPI (2001)
  • πŸ‘¨β€πŸŽ“Β Honorary Senior Member – Institut Universitaire de France (1994-2004)
  • πŸ₯‡Β Foreign Fellow – Academy of Sciences of Chile (2000)
  • 🌍 Fellow IAMBE – International Academy of Medical and Biological Engineering (2012)
  • πŸ”¬Β Fellow – The Third Way Group (2020

Publication