Huawen Liu | Machine Learning | Distinguished Scientist Award

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Prof. Dr. Huawen Liu | Machine Learning | Distinguished Scientist Award

Professor at Shaoxing University, China

Prof. Huawen Liu ๐Ÿ‘จโ€๐Ÿซ, a distinguished academic at Shaoxing University ๐Ÿ‡จ๐Ÿ‡ณ since 2010, holds a Ph.D. and Ms.D. in Computer Science from Jilin University ๐Ÿง ๐Ÿ’ป. He expanded his research globally as a postdoc at the University of South Australia ๐Ÿ‡ฆ๐Ÿ‡บ (2012โ€“2013) and a visiting fellow at the University of Texas at San Antonio ๐Ÿ‡บ๐Ÿ‡ธ (2018โ€“2019). His work spans hash learning, AI, big data, and machine learning ๐Ÿค–๐Ÿ“Š. With over 50 publications ๐Ÿ“š in top-tier journals, he actively contributes as an editor and conference organizer. He holds an H-index of 17 ๐Ÿ“ˆ and continues to shape intelligent computing worldwide ๐ŸŒ.

Professional Profile:

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๐ŸŽ“ Education & Experienceย 

  • ๐ŸŽ“ Ph.D. & Ms.D. in Computer Science from Jilin University, China ๐Ÿ‡จ๐Ÿ‡ณ (Top-10 university)

  • ๐Ÿง‘โ€๐Ÿ”ฌ Postdoctoral Researcher at University of South Australia ๐Ÿ‡ฆ๐Ÿ‡บ (2012โ€“2013)

  • ๐ŸŒ Visiting Fellow at University of Texas at San Antonio, USA ๐Ÿ‡บ๐Ÿ‡ธ (2018โ€“2019)

  • ๐Ÿ‘จโ€๐Ÿซ Professor at Shaoxing University since July 2010 ๐Ÿซ

  • ๐Ÿ“ Over 50 peer-reviewed publications in high-impact journals and conferences ๐Ÿ“š

๐ŸŒฑ Professional Developmentย 

Prof. Liu has actively participated in shaping the research community ๐ŸŒ. He serves as the Editor-in-Chief (EIC) of the International Journal of Intelligence and Sustainable Computing ๐Ÿง ๐Ÿ’ก, Associate Editor for International Journal of Artificial Intelligence and Tools ๐Ÿ› ๏ธ, and Editor for Mathematics โž—๐Ÿ“˜. He has also led special issues as Guest Editor in Neural Computing and Applications ๐Ÿงฎ and Computing and Informatics ๐Ÿ’ป. His involvement extends to organizing national and international conferences ๐ŸŽค๐Ÿ“… and acting as a program committee member for IJCAI, AAAI, CVPR, and others ๐Ÿค๐Ÿ“Š, reflecting his strong engagement with the global AI and computing community.

๐Ÿ” Research Focus Categoryย 

Prof. Liuโ€™s research lies at the intersection of artificial intelligence ๐Ÿค–, machine learning ๐Ÿ“š, and data science ๐Ÿ“Š. He specializes in hash learning, outlier detection, feature selection, and multimedia systems ๐ŸŽฅ. His focus extends to practical applications in big data analytics ๐Ÿ—ƒ๏ธ and intelligent systems ๐Ÿ’ก. With a keen interest in mining patterns from complex datasets, his work contributes significantly to pattern recognition ๐Ÿง  and cybernetics ๐Ÿ›ก๏ธ. He aims to bridge theory and real-world implementation through intelligent algorithms that enhance automated decision-making systems ๐Ÿงฎ. His interdisciplinary approach empowers robust AI models with scalable and sustainable solutions ๐ŸŒ.

๐Ÿ† Awards & Honorsย 

  • ๐Ÿ“ˆ H-index of 17 according to Google Scholar ๐Ÿง 

  • ๐Ÿ“ Over 50 publications in leading journals such as IEEE TKDE, TNNLS, TMM, TSMC, and more ๐Ÿ“š

  • ๐Ÿง‘โ€๐Ÿ’ผ Editor-in-Chief, Int. J. of Intelligence and Sustainable Computing

  • ๐Ÿ› ๏ธ Associate Editor, Int. J. of Artificial Intelligence and Tools

  • โž— Editor, Mathematics

  • ๐Ÿงฎ Lead Guest Editor for Neural Computing and Applications (NCAA)

  • ๐Ÿ’ป Lead Guest Editor for Computing and Informatics (CAI)

  • ๐ŸŽค Organising Chair for 2015 National Conf. of Theoretical Computer Science

  • ๐Ÿ“Š Organising Chair for 2014 China Conference on Data Mining

  • ๐ŸŽ“ Program Committee Member for top AI conferences: IJCAI, AAAI, CVPR, ADMA, ICBK, KSEM

Publication Top Notes

๐Ÿ” 1. Outlier Detection Using Local Density and Global Structure

  • Authors: H. Liu, Huawen; S. Zhang, Shichao; Z. Wu, Zongda; X. Li, Xuelong

  • Journal: Pattern Recognition, 2025

  • Citations: 7

  • Summary: This article proposes a novel outlier detection method combining local density estimation with global structural features. It’s likely useful for anomaly detection in high-dimensional or graph-structured data.

๐Ÿง  2. Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning With Positive Sampling

  • Authors: Z. Wang, Zehong; D. Yu, Donghua; S. Shen, Shigen; S. Yao, Shuang; M. Guo, Maozu

  • Journal: IEEE Transactions on Neural Networks and Learning Systems, 2025

  • Citations: 2

  • Summary: Focuses on self-supervised learning with graph contrastive methods, improving representation learning by selecting reliable positive samples for contrastive training.

๐Ÿ—ฃ๏ธ 3. Amharic Spoken Digits Recognition Using Convolutional Neural Network

  • Authors: T.A. Ayall, Tewodros Alemu; C. Zhou, Chuangjun; H. Liu, Huawen; S.T. Abate, Solomon Teferra; M. Adjeisah, Michael

  • Journal: Journal of Big Data, 2024 (Open Access)

  • Citations: 3

  • Summary: Presents a CNN-based model for recognizing spoken digits in Amharic, an under-resourced African language โ€” showcasing multilingual AI applications.

๐Ÿง  4. An Improved Deep Hashing Model for Image Retrieval With Binary Code Similarities

  • Authors: H. Liu, Huawen; Z. Wu, Zongda; M. Yin, Minghao; X. Zhu, Xinzhong; J. Lou, Jungang

  • Access: Open Access

  • Citations: 0

  • Summary: Describes a deep hashing method that optimizes binary similarity in hash code space for more effective image retrieval.

๐Ÿง  5. LGAD: Local and Global Attention Distillation for Efficient Semantic Segmentation

  • Authors: C. Wang, Chen; Y. Qi, Yafei; Q. Li, Qi; H. Liu, Huawen

  • Type: Conference Paper (Open Access)

  • Citations: 1

  • Summary: Proposes an attention distillation method combining local and global context for lightweight semantic segmentation, improving performance while keeping models efficient.

Conclusion:

Dr. Huawen Liu’s exceptional research contributions, leadership in academic organizations, and active engagement in the scientific community make him a strong candidate for the Distinguished Scientist Award. His sustained impact on the field of machine learning and AI, along with his contributions to both theoretical and applied research, exemplify the qualities deserving of such an esteemed recognition.

Mingjun Xiang | Terahertz | Best Researcher Award

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Mrs. Mingjun Xiang | Terahertz | Best Researcher Award

PhD student at Frankfurt Institute for Advanced Studies, Germany

Mingjun Xiang ๐Ÿ“ก is a passionate researcher in terahertz imaging and deep learning, currently based at the Frankfurt Institute for Advanced Studies ๐Ÿ‡ฉ๐Ÿ‡ช. With a strong academic background in Information and Communication Engineering and hands-on experience in optical systems, Mingjun bridges theoretical innovation with practical applications. Heโ€™s contributed to multiple international conferences ๐ŸŽค and has worked on advanced topics like phase retrieval, depth reconstruction, and semi-supervised learning. Fluent in English ๐Ÿ‡ฌ๐Ÿ‡ง and Mandarin ๐Ÿ‡จ๐Ÿ‡ณ, he brings a global perspective to his research. In his spare time, he enjoys swimming ๐ŸŠ, playing traditional Chinese instruments ๐ŸŽถ, and photography ๐Ÿ“ท.

Professional Profile:

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๐Ÿ”น Education & Experienceย 

๐ŸŽ“ Education:

  • ๐Ÿ“˜ Ph.D. in AI for Terahertz Imaging โ€“ Frankfurt Institute for Advanced Studies (2021โ€“Present), Germany

  • ๐Ÿ“— M.Sc. in Information and Communication Engineering โ€“ Technische Universitรคt Darmstadt (2017โ€“2020), Germany

  • ๐Ÿ“™ B.Sc. in Electronics Information Science and Technology โ€“ Harbin Institute of Technology (2013โ€“2017), China

๐Ÿ’ผ Work Experience:

  • ๐Ÿ”ง Electronic Engineer Intern โ€“ Inspur Group (2016): Worked on fiber coupling modules using VirtualLab

  • ๐Ÿ“ก Communication Engineer Intern โ€“ China Mobile (2018): Developed optical fault location system with LabView & Matlab

  • ๐Ÿงช Research Assistant โ€“ TU Darmstadt (2019): Developed GUI for Zurich Instruments’ devices in Matlab

  • ๐Ÿงซ Microfabrication Projects โ€“ Cleanroom experience in antenna design & THz waveguide fabrication

๐Ÿ”น Professional Developmentย 

Mingjun Xiang is deeply committed to continuous learning and professional growth ๐Ÿ“˜. During his academic journey, he has mastered a diverse set of tools including Python ๐Ÿ, Matlab ๐Ÿ“Š, LabView โš™๏ธ, and CST Microwave Studio ๐Ÿ“ก, along with cleanroom fabrication skills ๐Ÿงผ. He has presented in renowned global conferences such as IRMMW-THz ๐ŸŒ and Digital Holography & 3D Imaging ๐Ÿ“ธ, often as a keynote or session speaker ๐ŸŽ™๏ธ. His hands-on engineering internships in China gave him practical insights into fiber optics and telecom systems ๐Ÿ”Œ. By combining advanced theory with real-world skills, he actively advances in the terahertz research community ๐Ÿš€.

๐Ÿ”น Research Focus Categoryย 

Mingjun Xiangโ€™s research focuses on AI-enhanced Terahertz Imaging ๐Ÿ“ถ, where he applies deep learning techniques to overcome challenges in phase retrieval, image denoising, and occluded object reconstruction ๐Ÿง . His work integrates physics-informed neural networks ๐Ÿงฌ with holographic data for superior image accuracy and depth perception ๐ŸงŠ. His current interest lies in using both supervised and unsupervised models to extract meaningful features from complex terahertz datasets ๐Ÿ“‚. This intersection of optics ๐Ÿ”, machine learning ๐Ÿค–, and microwave technology ๐Ÿ“ก positions him at the forefront of the next-generation imaging systems for biomedical, industrial, and security applications ๐Ÿ”ฌ๐Ÿ›ก๏ธ.

๐Ÿ”น Awards & Honorsย 

  • ๐Ÿ… Keynote Speaker โ€“ IRMMW-THz 2023, Canada

  • ๐Ÿ—ฃ๏ธ Invited Speaker โ€“ IRMMW-THz 2022, Netherlands

  • ๐Ÿง  Speaker โ€“ Digital Holography & 3D Imaging 2022, UK

  • ๐Ÿ“ข Speaker โ€“ Face2Phase 2022, Netherlands

  • ๐Ÿ–ผ๏ธ Poster Presenter โ€“ 10th Intl. Workshop on THz Tech & Applications, Germany

  • ๐Ÿฅ‡ Master Thesis Achievement โ€“ Achieved -5 dB coupling loss in 0.67โ€“1.37 THz range

Publication Top Notes

1. Amplitude/Phase Retrieval for Terahertz Holography With Supervised and Unsupervised Physics-Informed Deep Learning

  • Journal: IEEE Transactions on Terahertz Science and Technology

  • Publication Date: March 2024

  • DOI: 10.1109/TTHZ.2024.3349482

  • Type: Journal Article

  • Summary:
    Combines supervised and unsupervised physics-informed deep learning (PIDL) methods for amplitude and phase retrieval in THz holography, enhancing accuracy and generalization without requiring a reference beam.

2. Depth Reconstruction for Reference-Free THz Holography Based on Physics-Informed Deep Learning

  • Conference: 48th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)

  • Date: September 17, 2023

  • DOI: 10.1109/irmmw-thz57677.2023.10298937

  • Type: Conference Paper

  • Summary:
    Proposes a PIDL-based method for depth reconstruction in reference-free THz holography. Demonstrates the capability of neural networks to learn physical laws and produce 3D profiles from 2D holograms.

3. Phase Retrieval for Fourier THz Imaging with Physics-Informed Deep Learning

  • Conference: 47th IRMMW-THz

  • Date: August 28, 2022

  • DOI: 10.1109/irmmw-thz50927.2022.9895691

  • Type: Conference Paper

  • Summary:
    Applies PIDL to Fourier domain imaging in the THz range, aiming at robust phase retrieval by embedding physical constraints in the training loss.

4. Phase Retrieval for Terahertz Holography with Physics-Informed Deep Learning

  • Conference: Digital Holography and 3-D Imaging 2022 (OSA)

  • Date: 2022

  • DOI: 10.1364/dh.2022.tu4a.4

  • Type: Conference Paper

  • Summary:
    Earlier work demonstrating PIDL for phase retrieval in THz holography setups, potentially eliminating the need for phase-shifting or interferometric measurements.

5. Broadband Terahertz Photonic Integrated Circuit with Integrated Active Photonic Devices

  • Journal: Photonics

  • Publication Date: November 3, 2021

  • DOI: 10.3390/photonics8110492

  • Type: Journal Article

  • Summary:
    Focuses on the development of a broadband THz photonic integrated circuit (PIC) with embedded active photonic components, marking progress toward compact, tunable THz systems.

Conclusion:ย 

Mingjun xiang is a highly suitable and deserving nominee for the Best Researcher Award, particularly in areas that value cross-disciplinary innovation, high-frequency imaging, and AI integration in physical sciences.

His work advances both theoretical frameworks and practical implementations of next-generation THz systems, showcasing real-world applications and scientific impact. His combination of technical rigor, innovation, international presence, and AI-driven breakthroughs clearly sets him apart as a next-generation leader in his field.

Nadia Catenazzi | Educational Technologies | Best Researcher Award

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Dr. Nadia Catenazzi | Educational Technologies | Best Researcher Award

Ricercatrice at Scuola Universitaria Professionale della Svizzera Italiana, Switzerland

Nadia Catenazzi is an Italian researcher and educator with expertise in educational technologies, open science, and user experience (UX). With a PhD in Information Science from the University of Strathclyde (UK), she has a strong academic and professional background in technology development for learning. She currently works at SUPSI, Switzerland, focusing on educational technologies, mixed reality, and learning management systems. Passionate about advancing open science, her work includes publishing books and articles on ICT and mobile learning. She is fluent in Italian, English, Spanish, and has contributed to various educational initiatives. ๐Ÿ“š๐Ÿ’ป๐ŸŽ“

Professional Profile:

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Education and Experience:

  • 1983 – 1989: University of Milan, Degree in Information Science (110/110) ๐ŸŽ“๐Ÿ“˜

  • 1990 – 1994: University of Strathclyde, Glasgow (UK), PhD in Information Science ๐Ÿง‘โ€๐ŸŽ“๐ŸŒ

  • 1994 โ€“ 1997: Universidad Carlos III, Madrid (SP), Lecturer & Researcher in Computer Science ๐Ÿ–ฅ๏ธ๐Ÿ“š

  • 1998 โ€“ 2003: Mediatech S.r.l., Uta โ€“ Cagliari (IT), Researcher ๐Ÿ”ฌ๐Ÿ–ฅ๏ธ

  • 2002 – Present: SUPSI, Lugano (CH), Researcher & Head of Educational Technologies Area ๐Ÿ“๐ŸŽ“

  • 2002 – 2010: University of Insubria, Varese (IT), Contract Professor ๐ŸŽ“๐Ÿง‘โ€๐Ÿซ

Professional Development:

Nadia Catenazzi has been a prominent figure in the development of educational technologies, serving as a researcher at SUPSI, where she leads projects on mixed reality, open science, and learning systems. She collaborates in the creation of training programs and workshops focusing on ICT, learning management, and user experience. Her work has extended internationally, contributing to the integration of innovative technologies in education. Through publications, presentations, and continuous engagement with global research, Catenazzi has become a key advocate for the evolution of educational and scientific technologies. ๐ŸŒ๐Ÿ“š๐Ÿ–ฅ๏ธ

Research Focus:

Nadia Catenazziโ€™s research revolves around educational technologies, specifically the integration of micro-credentials, Open Badges, and Mixed Reality for learning. She explores how Learning Management Systems (LMS) and Open Educational Resources (OERs) can revolutionize education and improve accessibility. Catenazzi also delves into user experience (UX), including human-computer interaction (HCI) and web accessibility. Her interest extends to semantic web technologies like RDF and OWL, aiming to enhance the structure and use of knowledge in educational contexts. Her work aims to bridge the gap between cutting-edge technology and educational applications. ๐ŸŒ๐Ÿ“š๐Ÿ’ก

Awards and Honors:

  • 2019: Co-editor of ICT for Adult Educators ๐Ÿ“š๐Ÿ…

  • 2019: Co-editor of ICT per educatori di adulti (SUPSI) ๐Ÿ†๐Ÿ“–

  • 2013: Contributor to ISTUS REPORT on social media in adult education ๐ŸŒ๐Ÿ“Š

  • 2011: Contributed to the book Digital Factory for Human-oriented Production Systems ๐Ÿ“˜๐Ÿ‘ฉโ€๐Ÿซ

Publication Top Notes

1. A Comprehensive Methodology for Curriculum Development, Training Delivery and Certification Using Learning Outcomes and Digital Badges

  • Type: Journal Article

  • Journal: Computers and Education: Open

  • Date: June 2025

  • DOI: 10.1016/j.caeo.2025.100248

  • Source: Crossref

  • Summary:
    This paper outlines a structured methodology integrating learning outcomes with digital badges for curriculum development and certification. It emphasizes competency-based training and provides a framework applicable across educational and vocational contexts.

2. Mixed Reality Affordances for Skill Development

  • Type: Conference Paper

  • Conference: IEEE EDUCON 2024

  • Date: May 8, 2024

  • DOI: 10.1109/EDUCON60312.2024.10578579

  • Source: Crossref

  • Summary:
    This study explores the role of Mixed Reality (MR) technologies in skill acquisition. It investigates how specific MR affordancesโ€”like immersion and interactionโ€”enhance practical learning experiences in technical and vocational training.

3. The Tangram Study for Mixed Reality Affordance Comparison

  • Type: Conference Paper

  • Conference: EDULEARN23

  • Date: July 2023

  • DOI: 10.21125/edulearn.2023.0889

  • Source: Crossref

  • Summary:
    This paper presents a comparative study of Mixed Reality affordances using the Tangram puzzle task. It evaluates user interaction, engagement, and skill development in physical vs. MR-enhanced learning environments.

4. Usability Evaluation of Mixed Reality Applications in VET Training

  • Type: Book Chapter

  • Book: Mixed Reality in Education: Case Studies and Practical Applications

  • Year: 2023

  • DOI: 10.1007/978-3-031-43401-3_27

  • Source: Crossref

  • Summary:
    This chapter evaluates the usability of Mixed Reality tools in Vocational Education and Training (VET). It discusses design guidelines, user feedback, and the effectiveness of MR in enhancing learner engagement and practical skills.

Conclusion:

Nadia Catenazzi is a fitting candidate for the Best Researcher Award due to her groundbreaking work in educational technology and open science, her significant contributions to both theory and practice, and her ability to influence educational practices worldwide. Her leadership in these areas has fostered innovation in adult education and contributed substantially to bridging the gap between education and technology. Her ongoing efforts to enhance accessibility, usability, and interaction in educational settings solidify her status as a transformative figure in her field.

Guanqun Li | Engineering | Best Researcher Award

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Dr. Guanqun Li | Engineering | Best Researcher Award

Associate Researcher at Shengli oilfield, SINOPEC, China

Guanqun Li (ๆŽๅ† ็พค), born in May 1994 in Shandong, China ๐Ÿ‡จ๐Ÿ‡ณ, is an Associate Researcher at Shengli Oilfield Company, SINOPEC ๐Ÿ›ข๏ธ. He earned his PhD in Oil and Gas Field Development Engineering from China University of Petroleum (East China) ๐ŸŽ“. His work focuses on the microscopic characterization of shale reservoirs and fluid dynamics in oil and gas systems ๐Ÿ”ฌ๐Ÿ’ง. With numerous publications in top journals like Fuel and Physics of Fluids ๐Ÿ“š, he brings innovation to shale oil recovery technologies. Passionate about fractal modeling and fluid imbibition research, Guanqun Li is contributing significantly to modern energy development โš™๏ธ๐ŸŒ.

Professional Profile:

Scopus

๐Ÿ”น Education and Experienceย 

  • ๐ŸŽ“ Sep. 2016 โ€“ June 2019: Masterโ€™s in Oil and Gas Field Development Engineering, Yangtze University

  • ๐Ÿ“š Sep. 2019 โ€“ June 2023: PhD in Oil and Gas Field Development Engineering, China University of Petroleum (East China)

  • ๐Ÿข July 2023 โ€“ Present: Associate Researcher, Shengli Oilfield Company, SINOPEC

๐Ÿ”น Professional Developmentย 

Dr. Guanqun Li ๐Ÿ“˜ has shown consistent professional growth, moving from academic research to applied industry innovation. His academic journey through Yangtze University and the China University of Petroleum provided a solid foundation in oilfield development โš’๏ธ. At SINOPEC, he applies his expertise in reservoir simulation, fracturing mechanics, and fluid flow modeling ๐Ÿ”ฌ. He actively contributes to peer-reviewed journals and international conferences ๐ŸŒ. Guanqun continuously develops novel analytical and fractal models for imbibition in shale formations ๐ŸŒ€. His cross-disciplinary collaboration and technical excellence are hallmarks of his evolving career in the energy sector ๐Ÿš€.

๐Ÿ”น Research Focus Categoryย 

Guanqun Liโ€™s research centers on unconventional oil and gas recovery, specifically shale oil reservoir characterization and fluid imbibition mechanisms ๐Ÿ›ข๏ธ๐Ÿ’ง. His work explores microscale fluid motion, fractal modeling, and productivity analysis in hydraulically fractured formations ๐Ÿ”๐Ÿ“ˆ. He is especially interested in the spontaneous and forced imbibition processes in complex porous media under various boundary conditions ๐Ÿงช. His models help optimize horizontal well performance and support enhanced oil recovery (EOR) strategies ๐Ÿง โš™๏ธ. With a clear focus on improving efficiency in volume fracturing and fluid migration mechanisms, his research is highly impactful in modern petroleum engineering ๐Ÿšง.

๐Ÿ”น Awards and Honorsย 

  • ๐Ÿ… Interpore Conference Presentation (2020) โ€“ Recognized for outstanding research on production enhancement in fractured wells

  • ๐Ÿ“– Multiple First-Author Publications โ€“ Published in top journals like Fuel, Physics of Fluids, and Energy & Fuels

  • ๐Ÿง  Acknowledged for Innovative Fractal Modeling โ€“ In spontaneous/forced imbibition in shale formations

  • ๐Ÿฅ‡ Highly Cited Review Paper โ€“ On EOR techniques in shale oil (Geofluids, 2021)

Publication Top Notes

  • Title: Quantifying lithofacies-dependent imbibition behavior in continental shale oil by fractal modeling: A case study of the gentle slope fault zone, Jiyang DepressionAuthors: Li Guanqun, Peng Yanxia, Yang Yong, Cao Xiaopeng, Su YuliangJournal: Fuel

    Year: 2025

Conclusion

Dr. Guanqun Li stands out as an emerging leader in petroleum reservoir engineering with clear scientific originality, engineering relevance, and a solid record of first-author publications in high-impact journals. His work has contributed meaningfully to advancing the understanding of shale oil imbibition mechanisms and their application in field operations.

Ekane Peter Etape | Biomaterials | Best Researcher Award

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Prof. Dr. Ekane Peter Etape | Biomaterials | Best Researcher Award

Senior Lecturer(Teaching/Research) at University of Buea, Cameroon

Dr. EKANE Peter Etape ๐Ÿ‡จ๐Ÿ‡ฒ is a dedicated Senior Lecturer and Researcher in Inorganic Chemistry and Solid-State Physical Science at the University of Buea. With a strong foundation in material and environmental sciences, his work explores the frontiers of nanotechnology, biomaterials, and thermodynamics ๐Ÿ”ฌ๐ŸŒ. A fellow at the Pan African Material Research Institute and a participant in multiple synchrotron light source schools, Dr. Etape is actively involved in international collaborations and scientific advancement ๐ŸŒ๐Ÿ“š. His editorial contributions, society memberships, and participation in global conferences reflect his commitment to fostering innovation and excellence in science ๐Ÿงชโœจ.

Professional Profile:

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๐Ÿ“˜ Education & Experienceย 

  • ๐ŸŽ“ Ph.D. in Chemistry โ€“ University of Buea, Cameroon

  • ๐ŸŽ“ M.Sc. in Chemistry โ€“ University of Buea, Cameroon

  • ๐ŸŽ“ B.Sc. in Chemistry โ€“ University of Buea, Cameroon

  • ๐Ÿ“œ DIPES II in Chemistry โ€“ ENS Yaoundรฉ, University of Yaoundรฉ 1

  • ๐Ÿ“œ DIPES I in Chemistry โ€“ ENSA Bambili, University of Yaoundรฉ 1

  • ๐Ÿง‘โ€๐Ÿซ 2021โ€“Present: Senior Lecturer โ€“ University of Buea

  • ๐Ÿง‘โ€๐Ÿซ 2020โ€“2021: Lecturer โ€“ University of Buea

  • ๐Ÿง‘โ€๐Ÿซ 2018โ€“2020: Part-time Lecturer โ€“ University of Buea

  • ๐Ÿงช Former Secondary & High School Chemistry Teacher โ€“ MINSEC

๐Ÿ“š Professional Developmentย 

Dr. EKANE Peter Etape has actively participated in international academic development programs to enhance his expertise ๐ŸŒ๐Ÿง . He completed hands-on training on FT-IR, XRD, SEM/EDAX, and glove box equipment in top Nigerian laboratories ๐Ÿ”ฌ๐Ÿ’ก. He attended short courses in material science at the African University of Science and Technology and the STARS webinar by the Association of Commonwealth Universities ๐Ÿง‘โ€๐Ÿ”ฌ๐Ÿ“ˆ. A repeat participant in the Synchrotron Light Source Schools in 2024 and 2025, Dr. Etape continually updates his skills to match the dynamic advancements in material chemistry and nanotechnology ๐Ÿš€๐Ÿ‘จโ€๐Ÿ”ฌ.

๐Ÿ”ฌ Research Focusย 

Dr. Etape’s research is centered on materials science, inorganic chemistry, and environmental applications ๐Ÿงช๐ŸŒฑ. He specializes in solid-state and nanomaterials chemistry, investigating structural, kinetic, and thermodynamic properties for advanced applications ๐Ÿ”โš™๏ธ. His work bridges chemistry, nanophysics, and biomaterials to develop functional materials with engineering relevance ๐Ÿงซ๐Ÿ”ง. He is particularly interested in nano-engineered systems for sustainability and technology integration. His interdisciplinary approach aligns with global efforts to innovate through smart materials, making him a key contributor to the growing field of applied nanoscience and green chemistry ๐ŸŒฟ๐Ÿง .

๐Ÿ… Awards & Honorsย 

๐Ÿ… PAMI Ph.D. Scholar โ€“ Pan-African Materials Institute (World Bank Centre of Excellence)

  • ๐Ÿค Collaboration Grant โ€“ University of Buea & African University of Science and Technology

  • ๐Ÿ“œ Selected Participant โ€“ School on Synchrotron Light Sources (2024 & 2025)

  • ๐ŸŒ STARS Webinar Attendee โ€“ Association of Commonwealth Universities

  • ๐ŸŽ“ PASMAT Summer School Participant โ€“ Abuja, Nigeria

Publication Top Notes

1. Influence of Urena lobata Fibre Treatment on Mechanical Performance Development in Hybrid Urena lobata Fibre/Gypsum Plaster Composites

  • Journal: Advances in Materials Science and Engineering

  • Date: January 2021

  • DOI: 10.1155/2021/5514525

  • Type: Journal Article

  • Publisher: Hindawi

  • Abstract Summary: The study investigates the influence of different treatments on Urena lobata fibres and how they affect the mechanical properties of hybrid composites with gypsum plaster.

2. Nanosize CaCuโ‚ƒTiโ‚„Oโ‚โ‚‚ Green Synthesis and Characterization of a Precursor Oxalate Obtained from Averrhoa carambola Fruit Juice and Its Thermal Decomposition to the Perovskite

  • Journal: Journal of Nanomaterials

  • Date: October 8, 2020

  • DOI: 10.1155/2020/8830136

  • Type: Journal Article

  • Publisher: Hindawi

  • Abstract Summary: A novel green synthesis of nanosized CaCuโ‚ƒTiโ‚„Oโ‚โ‚‚ using star fruit juice, detailing the oxalate precursor’s characterization and thermal decomposition.

3. A Green and Facile Approach for Synthesis of Starch-Pectin Magnetite Nanoparticles and Application by Removal of Methylene Blue from Textile Effluent

  • Journal: Journal of Nanomaterials

  • Date: August 19, 2019

  • DOI: 10.1155/2019/4576135

  • Type: Journal Article

  • Publisher: Hindawi

  • Abstract Summary: Describes a sustainable synthesis of magnetite nanoparticles using starch and pectin, and their application in removing methylene blue from textile wastewater.

4. Extraction and Physicochemical Characterization of Lignin from Cameroonโ€™s Three Raffia Palm Species (Raffia farinifera, Raffia hookeri, and Raffia vinifera) and Africa Oil Palm (OPEFB)

  • Journal: Journal of Materials Sciences and Applications

  • Date: April 16, 2019

  • ISSN: 2381-0998

  • Authors: EKANE Peter Etape

  • Abstract Summary: Reports on the extraction techniques and comparative analysis of lignin properties from various raffia and oil palm sources in Cameroon.

5. Potential of Blended Biomass Feedstock from Some Species of Raffia Palm (Raffia farinifera, Raffia hookeri, and Raffia vinifera) and Oil Palm Empty Fruit Bunch (OPEFB) from Cameroon

  • Journal: African Journal of Pure and Applied Chemistry

  • Date: April 30, 2018

  • DOI: 10.5897/ajpac2018.0753

  • ISSN: 1996-0840

  • Authors: EKANE Peter Etape

  • Abstract Summary: Evaluates the viability of blended biomass from raffia palm species and OPEFB for energy and material applications.

Conclusion

Dr. Ekane Peter Etape demonstrates excellence across research productivity, interdisciplinary contributions, global collaborations, scientific outreach, and capacity building. His expertise in emerging fields such as nanoscience and biomaterials, combined with his dedication to regional academic development, makes him highly suitable for a Best Researcher Award.

Yiji Su | Rehabilitation | Best Researcher Award

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Prof. Yiji Su | Rehabilitation | Best Researcher Award

Chief Physician at The First Affiliated Hospital of Guangzhou Medical University, China

Prof. Yiji Su ๐Ÿ‘จโ€โš•๏ธ is a Chief Physician and Doctoral Supervisor at The First Affiliated Hospital of Guangzhou Medical University ๐Ÿ‡จ๐Ÿ‡ณ. Holding a medical doctorate ๐ŸŽ“ and research training from Japan ๐Ÿ‡ฏ๐Ÿ‡ต, he specializes in orthopedic and neurological rehabilitation ๐Ÿฆด๐Ÿง . His work targets rapid recovery of spinal, joint, and neurological disorders like stroke, dysphagia, and spinal cord injuries โš•๏ธ. With over 20 publications ๐Ÿ“„, leadership in 6 research projects ๐Ÿ”ฌ, and 2 published books ๐Ÿ“š, he contributes actively to multiple national and provincial rehabilitation committees ๐Ÿ…. Honored as “China Outstanding Rehabilitation Physician” in 2019 ๐Ÿฅ‡, Prof. Su is a pioneer in clinical rehabilitation research ๐Ÿš€.

Professional Profile:

Scopus

๐Ÿ”น Education & Experienceย 

  • ๐ŸŽ“ Medical Doctorate in Rehabilitation Medicine

  • ๐Ÿฅ Chief Physician at The First Affiliated Hospital of Guangzhou Medical University

  • ๐Ÿ‘จโ€๐Ÿซ Doctoral Supervisor in Rehabilitation Medicine

  • ๐Ÿ‡ฏ๐Ÿ‡ต Completed Research Fellowship in Japan focusing on rehabilitation science

  • ๐Ÿฆด Specialized in Orthopedic & Neurological Rehabilitation

  • ๐Ÿงช Led/participated in 6 major research projects, including National Natural Science Foundation

  • ๐Ÿ“š Published over 20 academic papers and authored 2 books

  • ๐Ÿ”ฌ Developed preclinical muscle injury model for rehabilitation research

๐Ÿ”น Professional Developmentย 

Prof. Yiji Su has been deeply involved in advancing rehabilitation medicine through academic leadership, research, and clinical innovation ๐Ÿš€. He is an active member of several prestigious associations ๐Ÿ›๏ธ, including the Orthopedic Rehabilitation Subgroup of the Chinese Research Hospital Association and the Guangxi Rehabilitation Medicine Association ๐Ÿ‘ฅ. His editorial and committee roles ๐Ÿ“‹ reflect a commitment to professional development and collaboration. Beyond clinical duties, he mentors young researchers ๐Ÿ‘จโ€๐Ÿ”ฌ and doctors ๐Ÿ‘ฉโ€โš•๏ธ, promotes appropriate rehabilitation technologies โš™๏ธ, and participates in policymaking for improved patient recovery outcomes. His work bridges academic research with real-world clinical implementation ๐ŸŒ.

๐Ÿ”น Research Focusย ย 

Prof. Yiji Suโ€™s research primarily focuses on rehabilitation medicine ๐Ÿง ๐Ÿฆด, specifically targeting orthopedic and neurological recovery. His work includes innovative treatments for neck, shoulder, and lumbar pain, spinal deformities, post-surgery dysfunction, stroke, dysphagia, and spinal cord injuries ๐Ÿ’ก. He combines clinical practice with research by developing novel rehabilitation models ๐Ÿงฌ such as the rat skeletal muscle contusion model, widely used in preclinical studies ๐Ÿ€. His interdisciplinary focus integrates physiotherapy, biomechanics, and neuroscience to enhance rapid recovery protocols for patients across China and beyond ๐ŸŒ, supporting both clinical and academic advancements ๐Ÿ”ฌ๐Ÿ“ˆ.

๐Ÿ”น Awards & Honorsย 

  • ๐Ÿฅ‡ China Outstanding Rehabilitation Physician Award (2019)

  • ๐Ÿ… Deputy Director, Guangxi Medical Doctor Association โ€“ Rehabilitation Physicians Branch

  • ๐Ÿ† Council Member, Guangxi Rehabilitation Medicine Association

  • ๐Ÿ‘จโ€๐Ÿ”ฌ National Committee Member, Orthopedic Rehabilitation

  • ๐Ÿงฌ Principal Investigator for a National Natural Science Foundation Project

  • ๐Ÿ“š Author of 2 rehabilitation-related books with ISBNs

  • ๐Ÿ”ง Patent Holder โ€“ Rat Skeletal Muscle Contusion Model (Utility Model Patent, China)

Publication Top Notes

Title “Transformation of Metal-Organic Frameworks (MOFs) under Different Factors”:โ€‹

  • Authors: Yilei Xiang, Suosu Wei, Taoxiang Wang, Huang Li, Yan Luo, Bing Shao, Ningyuan Wu, Yiji Su, Linbin Jiang, Jin Huang

  • Journal: Coordination Chemistry Reviews

  • Volume: 523

  • Article Number: 216263

  • Year: 2025

  • DOI: 10.1016/j.ccr.2024.216263โ€‹

Conclusion

Prof. Yiji Su exemplifies the qualities of a distinguished clinical researcherโ€”his work integrates innovation, patient-centered outcomes, and academic excellence. His impact on rehabilitation medicine, interdisciplinary contributions, and recognized national leadership make him an ideal recipient of a Best Researcher Award. This recognition would not only honor his past achievements but also encourage future innovations in the critical field of rehabilitative healthcare.

Yun Zhao | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Yun Zhao | Engineering | Best Researcher Award

Yun Zhao at Northwest Normal University, China

Dr. Yun Zhao ๐ŸŽ“ is an Associate Professor at the College of Physics and Electronic Engineering, Northwest Normal University ๐Ÿซ, since 2020. He earned his Ph.D. in Materials Science and Engineering ๐Ÿงช from the Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences ๐Ÿ‡จ๐Ÿ‡ณ, in 2020. Shortly after, he joined the Ningbo Institute of Materials Technology and Engineering ๐Ÿ”ฌ as a postdoctoral researcher. His work focuses on thin film photodetectors ๐Ÿ“ธ and semiconductor devices ๐Ÿ’ก. Dr. Zhao is passionate about next-gen optoelectronics and is actively contributing to innovation in functional materials and device engineering ๐Ÿš€.

Professional Profile:

Orcid

Scopus

๐ŸŽ“ Education & Experienceย 

  • ๐Ÿ“š Ph.D. in Materials Science and Engineering, Lanzhou Institute of Chemical Physics, CAS โ€“ 2020

  • ๐Ÿง‘โ€๐Ÿซ Postdoctoral Researcher, Ningbo Institute of Materials Technology and Engineering, CAS

  • ๐Ÿ‘จโ€๐Ÿซ Associate Professor, College of Physics and Electronic Engineering, Northwest Normal University โ€“ Since 2020

๐Ÿ“ˆ Professional Developmentย 

Dr. Yun Zhao continuously engages in academic and research development through national and institutional collaborations ๐Ÿค. His postdoctoral work at the prestigious Ningbo Institute of CAS sharpened his experimental techniques and deepened his expertise in advanced semiconductors โš™๏ธ. As an associate professor, he mentors young researchers ๐Ÿ‘จโ€๐Ÿ”ฌ and collaborates on interdisciplinary projects across optics, electronics, and nanotechnology ๐Ÿ”. He regularly attends academic conferences, publishes in reputed journals ๐Ÿ“„, and reviews scientific manuscripts. His dedication to professional growth ensures he stays at the forefront of innovation in functional materials and optoelectronic devices ๐ŸŒ.

๐Ÿ”ฌ Research Focusย 

Dr. Yun Zhaoโ€™s research primarily revolves around thin film photodetectors ๐Ÿ“ธ and semiconductor devices โšก. His focus lies in designing and fabricating new materials with enhanced sensitivity, stability, and performance for light-sensing technologies ๐ŸŒž. He explores emerging materials such as perovskites and nanostructures ๐ŸŒฑ for integration into flexible and wearable electronics ๐Ÿงค. His work bridges the gap between material science and applied electronics, aiming to revolutionize future optoelectronic systems ๐Ÿ”‹. The end goal of his research is to contribute to high-performance, low-cost, and energy-efficient devices for real-world applications ๐Ÿš—๐Ÿ“ฑ.

๐Ÿ† Awards and Honorsย 

  • ๐ŸŽ–๏ธ Ph.D. fellowship from the Chinese Academy of Sciences

  • ๐Ÿ… Postdoctoral appointment at Ningbo Institute of Materials Technology and Engineering (CAS)

  • ๐Ÿ† Recognized for outstanding research contributions in thin film photodetectors

  • ๐Ÿ“œ Multiple peer-reviewed publications in reputed international journals

Publication Top Notes

1. Understanding Proton Radiation-Induced Degradation Mechanisms in Cuโ‚‚ZnSn(S,Se)โ‚„ Kesterite Thin-Film Solar Cells

Journal: Solar Energy
Date: May 2025
DOI: 10.1016/j.solener.2025.113450
Summary:
This study investigates how proton radiation affects the stability and performance of Cuโ‚‚ZnSn(S,Se)โ‚„ (CZTSSe) thin-film solar cells. Proton radiation is relevant for space applications where solar cells are exposed to high-energy particles. The paper likely explores:

  • Changes in carrier lifetimes and defect states post-irradiation.

  • Structural or compositional changes in the absorber layer.

  • Strategies to mitigate degradation for improved radiation tolerance.

2. Multifunctional Artificial Electric Synapse of MoSeโ‚‚-Based Memristor toward Neuromorphic Application

Journal: The Journal of Physical Chemistry Letters
Date: February 6, 2025
DOI: 10.1021/acs.jpclett.4c03353
Summary:
This article presents a MoSeโ‚‚-based memristor designed to emulate biological synapses. The work focuses on neuromorphic computing, highlighting:

  • Synaptic plasticity behaviors (e.g., potentiation/depression).

  • Multifunctionality (possibly electrical + optical control).

  • Performance metrics like switching speed, retention, and endurance.

3. Exploring the Promoting Effect of Lanthanum Passivation on the Photovoltaic Performance of CZTSSe Solar Cells

Journal: The Journal of Chemical Physics
Date: December 21, 2024
DOI: 10.1063/5.0244645
Summary:
This paper studies how lanthanum (La) passivation enhances CZTSSe solar cell efficiency. Key aspects likely include:

  • Reduction in defect densities at grain boundaries or interfaces.

  • Improvements in open-circuit voltage and fill factor.

  • Insights into Laโ€™s role in modifying electronic structure or surface chemistry.

4. Electrical-Light Coordinately Modulated Synaptic Memristor Based on Tiโ‚ƒCโ‚‚ MXene for Near-Infrared Artificial Vision Applications

Journal: The Journal of Physical Chemistry Letters
Date: August 29, 2024
DOI: 10.1021/acs.jpclett.4c02281
Summary:
This research showcases a Tiโ‚ƒCโ‚‚ MXene-based memristor that responds to both electrical and light inputs, mimicking the retina for near-infrared vision. Highlights include:

  • Dual-mode modulation (electrical and optical).

  • Application in neuromorphic visual systems.

  • Spectral response analysis and synaptic behavior simulation.

5. Multicolor Fully Light-Modulated Artificial Synapse Based on P-MoSeโ‚‚/PxOy Heterostructured Memristor

Journal: The Journal of Physical Chemistry Letters
Date: August 29, 2024
DOI: 10.1021/acs.jpclett.4c01980
Summary:
This study introduces a heterostructured memristor combining P-doped MoSeโ‚‚ and PxOy, enabling light-tuned synaptic responses. Likely contributions:

  • Multicolor light sensitivity for multi-channel processing.

  • Photonic modulation of conductance states.

  • Integration prospects for optical neuromorphic systems.

Conclusion

Dr. Yun Zhao is highly suitable for the Best Researcher Award, particularly in categories related to emerging materials, device physics, or engineering sciences. His rapid academic progression, focused and relevant research in photodetectors and semiconductors, and training at top-tier institutions within the Chinese Academy of Sciences establish him as a promising and impactful researcher. Recognition through such an award would be both meritorious and motivating for his continued contributions to the field.

Aamna Rashid | Public Health | Best Researcher Award

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Ms. Aamna Rashid | Public Health | Best Researcher Award

Private Sector Engagement Consultant at N/A, Tanzania

Aamna Rashid is a public health professional with extensive experience in managing and leading tuberculosis (TB) programs globally. With a Master’s in Public Health and expertise in gender and private sector engagement, she currently works as a Technical Assistance Consultant for the UNOPS/Stop TB Partnership. She has worked with global organizations like Mercy Corps and The Global Fund, contributing to TB control efforts across Pakistan and internationally. Aamna is passionate about advancing TB care through private sector collaboration, gender equality, and strategic health interventions. ๐ŸŒ๐Ÿ’‰๐Ÿ‘ฉโ€โš•๏ธ

Professional Profile:

Scopus

Education and Experience:

  • Masters in Public Health (MPH) โ€“ Health Services Academy, 2016-2018 ๐ŸŽ“

  • Masters in Sociology โ€“ University of Arid Agriculture, 1998-2000 ๐ŸŽ“

  • PMD PRO 1 Certified ๐Ÿ“œ

  • Alumni โ€“ Emerging Leadership Program (Mercy Corps & Portland State University) ๐Ÿ‘ฉโ€๐ŸŽ“

  • Technical Assistance Consultant โ€“ UNOPS/Stop TB Partnership, August 2024 – Present ๐ŸŒ

  • Private Sector Engagement Consultant โ€“ The Global Fund, Nov 2023 – Present ๐Ÿ’ผ

  • Senior Program Manager โ€“ Mercy Corps, April 2021 โ€“ May 2023 ๐Ÿ…

  • Program Manager โ€“ Mercy Corps, May 2019 โ€“ March 2021 ๐Ÿ’ช

Professional Development:

Aamna Rashid is an esteemed professional with certifications in PMD PRO 1 and extensive training in gender, public-private partnerships (PPM), and leadership. She is a Master Trainer for Gender and a Fellow of Leadership Development Mechanism โ€“ USA. With her background in sociology and public health, she has effectively contributed to the Global Fund and Mercy Corpsโ€™ TB programs, developing new strategies for private sector engagement and gender inclusivity. As a WHO Core Group Member, she actively collaborates on global health initiatives, driving change through strategic planning and program management. ๐Ÿ†๐ŸŒ๐Ÿ’ก

Research Focus:

Aamna Rashid’s research is centered around public health, particularly tuberculosis (TB) control through private sector engagement and gender integration. She specializes in the design and implementation of public-private partnerships (PPM) to improve TB services. Her work focuses on enhancing health systems, advocacy, and social mobilization to increase awareness and access to TB care. Aamna is dedicated to gender-responsive strategies and promoting equitable health outcomes for marginalized communities. Her research aims to optimize global TB care programs, using strategic collaborations to strengthen health systems worldwide. ๐Ÿ’ก๐Ÿ”ฌ๐ŸŒ

Awards and Honors:

  • United Group Research Award for outstanding research (2019) ๐Ÿ…

  • Gold Medal for securing 1st class in Physics (B.Sc. Hons.) ๐Ÿฅ‡

  • Alumni of Emerging Leadership Program โ€“ Mercy Corps & Portland State University ๐ŸŽ“

  • Member of WHOโ€™s Global Public-Private Mix (PPM) Core Group ๐ŸŒ

  • PMD PRO 1 Certified ๐Ÿ“œ

Publication Top Notes

  1. Title: Maximizing tuberculosis services through private provider engagement โ€“ A case study from Pakistan
    Authors: Aamna Rashid, Surbhi Sheokand, Razia Fatima, Hammad Habib, Adeel Tahir, Asim Saleem, Poshan Thapa, Petra Heitkamp
    Journal: Journal of Clinical Tuberculosis and Other Mycobacterial Diseases
    Year: 2025
    Volume: 39
    Article Number: 100506
    DOI: 10.1016/j.jctube.2024.100506

Conclusion:

Aamna rashid stands out as a research-practitioner hybrid who has made sustained, scalable, and evidence-based contributions to global public healthโ€”especially in TB control, gender integration, and health systems strengthening. Her work not only reflects academic merit but also policy influence and on-ground public health transformation.

Her diverse body of work, technical leadership, publication record, and international representation make her an exceptionally worthy candidate for the Best Researcher Award in the field of Public Health and Global Health Systems.

Helena da silva santos rodrigues | Education | Excellence in Research Award

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Prof. Helena da silva santos rodrigues | Education | Excellence in Research Award

Prof. Coordenadora at IPVC – Instituto Politรฉcnico d, Portugal

Helena Maria da Silva Santos Rodrigues, born on September 11, 1968, in Massarelos, Portugal, is an esteemed academic and researcher. With a PhD in Business from Vigo University (Spain), she is an Emeritus Professor at the Universidad de Panamรก and a renowned specialist in innovation and intellectual capital. She has contributed significantly to the development of educational curricula and specialized teaching materials. Helena has also been a driving force in the creation of numerous academic programs in marketing, business, and tourism at Instituto Politรฉcnico de Viana do Castelo. Her work is marked by deep insight into sustainable business practices ๐ŸŒ๐Ÿ“š๐ŸŽ“.

Professional Profile:

Scopus

Education and Experience

  • Emeritus Professor (2016), Universidad de Panamรก ๐Ÿ‘ฉโ€๐Ÿซ

  • Ph.D. (2008), Vigo University (Spain) โ€“ Sobressaliente Cum Laude ๐Ÿ†

  • Diploma in Advanced Studies (2003), Vigo University (Spain) ๐Ÿ“œ

  • MBA in Marketing and International Finances (1997-1998), Lusรณfona University ๐ŸŒ๐Ÿ’ผ

  • Post-Graduation in Marketing and International Finances (1996-1997), Lusรณfona University ๐Ÿ“Š

  • Bachelor’s (5 years) in Administration and Organization Management (1990-1996), Catholic Portuguese University ๐Ÿซ

Professional Development

Helena Maria da Silva Santos Rodrigues has developed various postgraduate programs in management, sustainability, and quality for Central American universities, including the creation of curricula on innovation, international business, and marketing strategies. Her academic journey also includes the proposal and restructuring of multiple master’s and bachelorโ€™s degrees, such as the Marketing and Business Communication courses at Instituto Politรฉcnico de Viana do Castelo. Through her work, Helena has made a lasting impact on the quality of higher education in business and tourism. Her professional development continues to shape academia and enhance industry connections ๐ŸŽ“๐ŸŒ๐Ÿ”ง.

Research Focus

Helena’s research focuses on intellectual capital, innovation capacity, and their application to business sectors, particularly in the context of the automotive industry in the Euroregion of Galicia โ€“ Northern Portugal. She is passionate about understanding how intellectual assets can foster innovation and enhance competitiveness. Her academic interests also extend to the fields of sustainable business practices and marketing strategies, with a special focus on the integration of these concepts in SMEs. Helenaโ€™s work aims to bridge theory and practice, advancing both the academic world and the global business landscape ๐ŸŒฑ๐Ÿ’ก๐Ÿ”.

Awards and Honors

  • PhD Investigation Extraordinary Award (2011), Vigo University ๐Ÿ…

  • Emeritus Professor (2016), Facultad de Administraciรณn de Empresas y Contabilidad de la Universidad de Panamรก ๐ŸŽ–๏ธ

  • โ€œEuropean PhDโ€ Mention (2008), Vigo University ๐ŸŽ“

Publication Top Notes

Title: The Impact of Structural Capital Components on Management Innovation Implementation: PLS-SEM Application on Portuguese Healthcare Professionals
Authors: Helena Santos-Rodrigues, Beatriz Rodrigues Araรบjo

Conclusion:

Dr. Helena Maria da Silva Santos Rodrigues stands out for her research achievements, international collaborations, and significant contributions to curriculum development in the fields of business, innovation, and sustainability. Her research, which addresses real-world challenges such as the role of intellectual capital in innovation, coupled with her extensive teaching experience and leadership in developing educational programs, makes her a deserving candidate for the Excellence in Research Award. Her work not only contributes to academia but also has a lasting impact on industry and international educational standards.

Yufei Lei | Finance | Best Researcher Award

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Dr. Yufei Lei | Finance | Best Researcher Award

Dr. Yufei Lei at Zhongnan University of Economic and Law, China

Lei Yufei is a doctoral candidate in finance at Central China University of Economics and Law. With a strong academic background and a passion for research, he specializes in financial market analysis and risk management. Yufei has gained valuable experience through internships at top institutions like Dongfang Jincheng International Credit Rating and Zhongyuan Bank. He is committed to academic excellence and has contributed to multiple published papers in prestigious journals. Yufei is also an active member of several university organizations, enhancing his leadership and teamwork skills. ๐Ÿ“š๐Ÿ’ผ๐Ÿ“Šโœจ

Professional Profile:

Orcid

Scopus

Education and Experience

  • Education

    • Doctoral Candidate in Finance, Central China University of Economics and Law ๐ŸŽ“

    • Graduate Courses: Advanced Macroeconomics, Econometrics, Empirical Financial Analysis, Monetary Theory ๐Ÿ“–

  • Experience

    • Intern, Dongfang Jincheng International Credit Rating (2024) ๐Ÿ“Š

    • Intern, Zhongyuan Bank Jiaozuo Branch (2018) ๐Ÿ’ต

    • Intern, China Construction Bank Henan Branch (2018) ๐Ÿ’ผ

    • Intern, Prudential (Hong Kong) Insurance (2018) ๐Ÿ›ก๏ธ

    • Assistant to Director, Jiaozuo Municipal Bureau of Commerce (2017) ๐Ÿ›๏ธ

Professional Developmentย 

Yufei is a highly driven finance scholar, continuously improving his professional skills. His internships at prestigious institutions have shaped his expertise in credit rating, financial analysis, and risk management. He has participated in various academic seminars, including the Yangtze River Delta Credit Debt Outlook, and contributed to the formulation of credit rating models. His academic involvement extends beyond research, as he has served as a lecturer, teaching a securities investment course to 110 students. Yufeiโ€™s commitment to his academic and professional growth is evident in his impressive record of research contributions and leadership roles. ๐ŸŒฑ๐Ÿ“ˆ๐ŸŽค

Research Focus

Yufeiโ€™s research focuses on the intersection of finance, risk management, and financial market innovation. He has explored the impact of digital transformation on customer enterprise innovation, the relationship between monetary policy and gold prices, and the role of RMB internationalization in Chinaโ€™s competitiveness. His work on credit ratings and corporate green transformation has also been pivotal in understanding accrual earnings management. Yufei aims to contribute to the financial sector by improving investment strategies, risk management techniques, and international financial policies. His research has been recognized in high-impact journals and continues to shape the academic discourse in finance. ๐Ÿ“‰๐Ÿ’ก๐Ÿ’น

Awards and Honors

  • Huawei Scholarship (2024) ๐Ÿ†

  • Graduate Scholarship (2022-2024) ๐ŸŽ“

  • Graduate Academic Excellence Award “Social Work Award” (2022-2024) ๐Ÿ…

  • Outstanding Communist Youth League Member (2022) ๐ŸŽ–๏ธ

Publication Top Notes

  • “Digital transformation and customer enterprise innovation – From the perspective of supply chain spillover effects”
    Published in Finance Research Letters, April 2025
    DOI: 10.1016/j.frl.2025.106941
    This article explores the impact of digital transformation on customer enterprises, specifically focusing on how supply chain spillover effects influence innovation processes.

  • “Impact of RMB internationalization on Chinaโ€™s competitiveness in financial services trade based on the VAR model: Evidence from China-US”
    Published in PLOS ONE, June 2024
    DOI: 10.1371/journal.pone.0302845
    This study investigates how the internationalization of the Chinese Renminbi (RMB) affects Chinaโ€™s competitiveness in financial services trade, with a specific focus on the trade dynamics between China and the US, using the VAR (Vector Autoregression) model.

Conclusion:

Yufei Lei is a strong candidate for the Best Researcher Award due to his impressive academic achievements, extensive research contributions in high-impact journals, and practical industry experience. His work in the fields of finance, economics, and credit risk management is not only academically rigorous but also highly relevant to contemporary issues in global finance. His commitment to advancing knowledge, coupled with his leadership and international exposure, makes him an excellent choice for this recognition.