yuanpeng li | Hyperspectral Imaging | Best Researcher Award | 13378

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Assoc. Prof. Dr. yuanpeng li | Hyperspectral Imaging | Best Researcher Award 

Assoc. Prof. Dr. yuanpeng li, Guangxi Normal University, China

Assoc. Prof. Dr. Yuanpeng Li is a dedicated researcher at the School of Physical Science and Technology, Guangxi Normal University, China. With a Ph.D. in Biomedical Engineering from Jinan University, his work focuses on biomedical engineering, optical spectroscopy, and machine learning. He has led numerous national and provincial research projects, producing over 20 peer-reviewed publications in non-invasive diagnostics, food quality assessment, and disease detection. His innovative research combines advanced spectroscopy techniques with artificial intelligence to drive breakthroughs in healthcare and food science.

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🎓 Early Academic Pursuits

Dr. Yuanpeng Li’s academic journey began with a strong foundation in physics, earning his Bachelor of Science in Physics (2009–2013) from Guangxi Normal University in Guilin, China. His interest in the physical sciences quickly evolved into a passion for optics and biomedical applications, leading him to pursue a Master’s degree in Optics (2013–2016) at Jinan University in Guangzhou. During his master’s program, he began delving into advanced optical techniques and their application in biological systems.

His academic curiosity and commitment to research excellence culminated in a Ph.D. in Biomedical Engineering (2016–2019), also from Jinan University. There, he developed a strong interdisciplinary foundation that blended physics, engineering, biology, and computer science, paving the way for his future innovations in medical diagnostics and food quality assessment using optical spectroscopy and machine learning.

👨‍🏫 Professional Endeavors

Since 2019, Dr. Li has been serving as an Associate Professor at the School of Physical Science and Technology, Guangxi Normal University. In this role, he has not only conducted cutting-edge research but also mentored graduate students and fostered interdisciplinary collaboration across departments.

Dr. Li has successfully led and participated in several national and provincial-level research projects, many of which focus on non-invasive detection technologies and real-world applications of machine learning in biomedical fields. His academic leadership is evident in his role as both a researcher and an educator, contributing significantly to both the knowledge base and the training of the next generation of scientists.

🔬 Contributions and Research Focus

Dr. Li’s research lies at the intersection of biomedical engineering, spectroscopy, and artificial intelligence. His primary focus is the development of non-invasive, rapid, and accurate diagnostic tools using optical technologies like Raman spectroscopy, near-infrared (NIR) spectroscopy, and hyperspectral imaging. He has demonstrated remarkable success in applying these technologies to food quality assessment, disease detection, and environmental monitoring.

Some of his notable research contributions include:

  • ✅ Rapid analysis of flaxseed oil quality using Raman spectroscopy, ensuring food safety and authenticity.

  • 🦠 Identification of Nosema bombycis spores at the single-cell level with deep learning, advancing agricultural biosecurity.

  • 🍊 Non-destructive detection of citrus granulation, improving post-harvest fruit quality management.

  • 🛢️ Oil authentication through innovative “oil microscopy” methods.

  • 🦴 Early diagnosis of osteoarthritis using aquaphotomics and NIR, offering new hope for non-invasive medical diagnostics.

To date, he has published over 20 peer-reviewed journal articles, many in high-impact international journals such as Analytical Chemistry, Journal of Food Science, and Spectrochimica Acta Part A.

🏅 Accolades and Recognition

Dr. Yuanpeng Li’s pioneering work has been supported by multiple national and provincial grants, a testament to the scientific value and societal relevance of his research. His role as a co-communicating author in many top-tier publications showcases his leadership in collaborative research.

His achievements have earned him recognition within both academic and industrial communities, especially in the realms of biophotonics, machine learning in diagnostics, and food quality control. Through conferences, invited talks, and mentorship, he continues to build a strong academic presence in China and beyond.

🌍 Impact and Influence

Dr. Li’s contributions are making a tangible difference across multiple domains:

  • In healthcare, his research is improving the early detection of diseases, reducing the need for invasive procedures.

  • In the agricultural and food industries, his work enhances food safety, authenticity, and quality monitoring, using fast and portable techniques.

  • In academic research, his integration of machine learning with spectroscopy serves as a model for modern interdisciplinary innovation.

His multidisciplinary approach is influencing how future scientists think about diagnostics—moving from conventional laboratory-based techniques to portable, AI-driven, field-deployable solutions.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Yuanpeng Li is poised to make even more significant contributions to smart diagnostics and precision monitoring systems. His vision includes the development of AI-integrated handheld spectroscopic devices for use in clinics, farms, and food supply chains—ensuring real-time decision-making and broader access to quality control tools.

As an academic, he continues to mentor young researchers, instilling in them the values of scientific rigor, interdisciplinary thinking, and societal responsibility. His legacy is not only in the publications and technologies he produces but also in the communities of researchers he inspires and the lives his innovations will impact.

📚 Publication Top Notes

A study on the off-flavor in the storage of citrus, based on Raman spectroscopy combined with machine learning

Contributors: Rui Liu; Shan Tu; Yuanpeng Li; Lingli Liu; Ping Liu; Mengjiao Xue; Meiyuan Chen; Jian Tang; Tinghui Li; Junhui Hu
Journal: Food Composition and Analysis
Year: 2025

A rapid, non‐destructive, and accurate method for identifying citrus granulation using Raman spectroscopy and machine learning

Contributors: Rui Liu; Yuanpeng Li; Tinghui Li; Ping Liu; Wenchang Huang; Lingli Liu; Rui Zeng; Yisheng Hua; Jian Tang; Junhui Hu
Journal: Food Science
Year: 2024

Differentiation of Gelsemium elegans-Containing Toxic Honeys and Non-Toxic Honeys by Near Infrared Spectroscopy Combined with Aquaphotomics

Contributors: Wenchang Huang; Lingli Liu; Yuancui Su; Chuanmei Yang; Chengsen Tan; Yuanpeng Li; Shan Tu; Siqi Zhu; Yongmei Wang; Lihu Wang et al.
Journal: Food Analytical Methods
Year: 2023

Guoxin Huang | Aging | Young Scientist Award | 13377

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Mr. Guoxin Huang | Aging | Young Scientist Award 

Mr. Guoxin Huang, Xiangyang No.1 People’s Hospital, China

Huang Guoxin, a dedicated physician and researcher from Xiangyang, Hubei Province, holds a Bachelor’s degree in Clinical Medicine and a Master’s degree in Epidemiology and Health Statistics. Currently based at Xiangyang First People’s Hospital, he works at the intersection of clinical practice and research within the Cell Therapy and Evidence-Based Medicine Centers. His expertise lies in regenerative medicine, particularly cell-based therapies for degenerative diseases. Huang has actively contributed to multiple clinical trials and authored over 20 scientific publications. With strong skills in clinical research design, statistical analysis, and GCP protocols, he is recognized for advancing innovative treatments and evidence-based practices in modern medicine.

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🌱 Early Academic Pursuits

Huang Guoxin, born in 1993 in Xiangyang City, Hubei Province, began his academic journey with a strong passion for the medical sciences. He pursued a Bachelor’s degree in Clinical Medicine at the School of Pharmacy and Nursing, Hubei University of Medicine, from 2014 to 2019. During his undergraduate years, his interest in scientific research blossomed early — starting from 2016, he engaged in research activities alongside his academic curriculum. This foundation not only laid the groundwork for a clinically sound understanding of human health but also sparked a sustained commitment to evidence-based medicine.

Continuing his pursuit of advanced knowledge, Huang enrolled in the Master’s program in Epidemiology and Health Statistics at Hubei University of Medicine in 2021, further sharpening his skills in research methodology, statistical analysis, and public health investigations.

🏥 Professional Endeavors

Upon graduation in 2019, Huang joined Xiangyang First People’s Hospital, where he became an integral part of the Cell Therapy Center and Evidence-Based Medicine Center — a combined unit focusing on cutting-edge treatments and rigorous clinical research. His professional scope encompasses both clinical services and scientific investigations, marking him as a multi-talented physician-researcher.

In 2020, Huang was temporarily assigned to the Good Clinical Practice (GCP) Office, where he gained hands-on experience in clinical trial regulation, patient safety protocols, and quality control processes — enriching his understanding of clinical research ethics and governance.

🔬 Contributions and Research Focus

Huang Guoxin’s contributions are multifaceted — ranging from direct patient care to advanced clinical trial design. He specializes in biological and cell therapy techniques, having mastered technologies involving autologous bone marrow and peripheral blood mononuclear cells, SVF, PRP, LR-PRP, PRF, PRG, CGF, among others. His work targets degenerative and regenerative disorders, such as:

  • Spinal cord injury

  • Knee osteoarthritis

  • Diabetic foot

  • Femoral head necrosis

  • Osteomyelitis

  • Refractory ulcers

  • Facial rejuvenation and hair loss

He has actively participated in major clinical studies, including:

  • A clinical trial on autologous NK cell therapy for non-Hodgkin B-cell lymphoma (NCT05909098)

  • Two trials in collaboration with Yunnan Yanling Biotech (ChiCTR2000029569, ChiCTR2200063268)
    In these, Huang contributed significantly to trial design, ethics review, CRF development, and trial registration.

In primary research, he led over ten disease-specific cohorts, involving patient admission, surgical participation, and long-term follow-up. His secondary research work covers meta-analyses, GBD and NHANES database studies, literature visualization, and Mendelian randomization. He has authored/co-authored 20+ research papers, underlining his prolific scholarly output.

🏆 Accolades and Recognition

Huang has garnered several honors that recognize both his academic and practical contributions:

  • 🧪 National Innovation and Entrepreneurship Project grant: ¥23,000 for a study on intra-articular drug injection for knee osteoarthritis

  • 🧫 Hospital Research Grant: ¥2,000 for a randomized double-blind study on spinal cord injury in rats

  • 🎓 GCP Certificate issued by the National Medical Products Administration in 2020

  • 🩺 Licensed Practitioner Certificate (Surgery) obtained in 2020

  • 🖥️ Co-developer of a COVID-19 diagnostic software system (second author) — awarded Software Copyright Certificate in 2022

  • 📚 Co-translator of the professional book “Physical Examination of the Spine and Limbs”

He is also an active peer reviewer for several international journals such as:

  • BMC Musculoskeletal Disorders

  • Clinical Nutrition Open Science

  • Nutrition Journal

  • Journal of Back and Musculoskeletal Rehabilitation

🌍 Impact and Influence

Huang Guoxin stands as a dynamic example of how clinical excellence and scientific rigor can merge to advance patient care and medical knowledge. His unique skill set — spanning clinical interventions, trial design, data analysis, and peer engagement — continues to elevate the standards of translational medicine. He’s particularly known for integrating real-world patient care with evidence-based approaches, setting benchmarks in regenerative treatment methods.

Moreover, his proficiency with research tools like R, RevMan, Stata, Photoshop, and GCP procedures makes him a go-to expert within interdisciplinary research teams.

🌟 Legacy and Future Contributions

With a career rooted in compassion, curiosity, and commitment, Huang is poised to be a future leader in clinical research and regenerative medicine. His active involvement in the application for the Hubei Science and Technology Progress Award is indicative of the high-impact work his team is accomplishing. Going forward, Huang is expected to:

  • Lead multi-center trials

  • Drive interdisciplinary collaborations

  • Mentor emerging clinical researchers

  • Contribute to national health innovation policies

Publication Top Notes

Added sugars and risk of osteoarthritis in adults: A case-control study based on National Health and Nutrition Examination Survey 2007–2018

Contributors: Xiaolong Liao; Santhi Silambanan; Xiali Chen; Yumei Zhou; Limin Xing; Yihua Shi; Guoxin Huang
Journal: PLOS ONE
Year: 2024

Jianping Zeng | Chemistry | Best Academic Researcher Award | 13376

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Mr. Jianping Zeng | Chemistry | Best Academic Researcher Award

Mr. Jianping Zeng, Yancheng Institute of Technology, China

Mr. Jianping Zeng is an Associate Professor in the Department of Applied Chemistry at the School of Chemistry and Chemical Engineering, Yancheng Institute of Technology, Jiangsu Province, China. He holds a Ph.D. in Materials Science and Engineering from Nanjing University of Science and Technology. His research focuses on first-principles and molecular dynamics simulations, particularly the interactions between solutions and crystals. He has published several papers in leading journals such as Electrochimica Acta and Journal of Molecular Liquids. He was also a visiting scholar at the Australian National University from 2018 to 2019.

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🎓 Early Academic Pursuits

Jianping Zeng began his academic journey with a solid foundation in chemical education. He completed his junior college degree in Chemical Education at the East China University of Technology in 1999. Recognizing his keen interest in the fundamentals of chemical interactions and materials behavior, he pursued a Master’s degree in Physical Chemistry at the prestigious Nanjing University of Science and Technology, graduating in 2004. His deepening curiosity and academic excellence led him to undertake doctoral studies in Materials Science and Engineering at the same institution. He earned his Ph.D. in 2013, setting the stage for a dynamic academic and research career. These formative years equipped him with a blend of theoretical insight and practical laboratory skills, laying the groundwork for his future innovations in molecular simulation and material interaction research.

🧑‍🏫 Professional Endeavors

After earning his Ph.D., Mr. Zeng joined the Department of Applied Chemistry at the Yancheng Institute of Technology in Jiangsu Province. He began his professional teaching career as a Lecturer in 2005. His dedication to both teaching and research was quickly recognized, and by August 2011, he was promoted to Associate Professor. Over the years, Mr. Zeng has taught numerous undergraduate and postgraduate students, mentoring them in both classroom and research settings. His commitment to academic excellence is not limited to teaching—he has also played a vital role in fostering a research-driven environment in his department, contributing to the institute’s reputation in applied chemistry and materials science.

🔬 Contributions and Research Focus

Dr. Zeng’s primary research focus lies in first-principles calculations and molecular dynamics (MD) simulations, particularly studying the interactions between chemical solutions and crystals. His work explores how molecules interact at the atomic level in various solvents and ionic liquids, with significant applications in corrosion inhibition, surface science, and green chemistry. Among his noteworthy studies are simulations involving nitrobenzene in ionic liquids, benzotriazole derivatives interacting with Cu₂O crystals, and polymer inhibitors on anhydrite surfaces.

His publications, featured in top-tier journals like Electrochimica Acta, Journal of Molecular Liquids, and Surface and Interface Analysis, have been well received by the global scientific community. His collaborative work with other researchers reflects his openness to interdisciplinary exploration and academic networking. Furthermore, his research during his one-year visiting scholarship at the Research School of Chemistry, Australian National University (2018–2019), provided him exposure to cutting-edge developments and broadened his academic perspective.

🏆 Accolades and Recognition

In recognition of his outstanding work in research and innovation, Jianping Zeng was awarded the Municipal Third Prize for Progress in Science and Technology in 2011. This accolade is a testament to the practical impact and scientific value of his research within the regional and national context. His active participation in international and national academic forums—such as the International Conference on Electrochemical Energy Science and Technology (2016) and the 12th National Conference of Quantum Chemistry (2014)—also highlights his professional standing and dedication to continuous learning and contribution to the scientific dialogue.

🌏 Impact and Influence

Jianping Zeng has significantly influenced the scientific community through his simulations that help better understand molecular interactions relevant to environmental protection, chemical manufacturing, and materials engineering. His insights into corrosion inhibitors and solvent behaviors not only support the theoretical modeling community but also provide practical implications for industries seeking sustainable and effective chemical processes.

As a professor and mentor, his guidance has helped shape the careers of many young chemists and engineers. His ability to translate complex theoretical models into understandable and applicable knowledge has made him a valued educator and researcher in his institution.

🌱 Legacy and Future Contributions

Looking ahead, Mr. Zeng is well-positioned to make further impactful contributions in the realms of computational materials science, green chemistry, and crystal-solution interaction studies. With the ever-increasing relevance of simulation tools in modern chemistry, his expertise is likely to play a pivotal role in developing eco-friendly materials and enhancing the predictive modeling of chemical behaviors. His international experience, collaborative mindset, and proven research capabilities suggest that his influence will continue to expand both within China and globally.

By training future scientists and pursuing high-impact research, Jianping Zeng is contributing to a legacy that bridges theoretical innovation with real-world chemical engineering challenges. As computational methods become more integrated with experimental chemistry, his work will remain crucial in driving advancements in sustainable materials science.

📘Publication Top Notes

Molecular dynamics simulation of interaction between NaOH solution and AgCo/C electrode

Author: J., Zeng, Jianping, C., Wang, Chunfu, S., Zeng, Siyuan, … W., Li, Wenao, S., Chen, Song

Journal: Molecular Liquids

Year: 2024

First-principles calculation on electronic properties of hydrogen evolution reaction of Ni-based electrode surfaces with different monatomic doping

Author: J., Zeng, Jianping, Y., Zhang, Yan, S., Zeng, Shuyu, … L., Pubu, Luobu, S., Chen, Song

Journal: Molecular Graphics and Modelling

Year: 2024

Xiaoshu sun | Environmental economics | Best Researcher Award | 13371

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Ms. Xiaoshu sun | Environmental economics | Best Researcher Award 

Ms. Xiaoshu sun, Northeastern University, China

Ms. Xiaoshu Sun is currently pursuing her Ph.D. in Applied Economics at Northeastern University, Shenyang, China. Her research focuses on the digital economy, green economy, and income distribution. She has published multiple papers in reputed journals including SSCI, SCI, and Scopus-indexed publications. Her recent work explores the impact of digital technology on rural-urban income disparity and the coupling between digital transformation and green manufacturing efficiency in China. Using advanced models like the non-expected SBM-DEM, she has contributed valuable insights into regional development dynamics. Ms. Sun also serves on the editorial board of Asia Pacific Economic and Management Review.

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🎓 Early Academic Pursuits

Ms. Xiaoshu Sun began her academic journey with a strong foundation in economics, demonstrating a keen interest in understanding the evolving dynamics of modern economies. Her passion for exploring the intersections between technology, sustainability, and economic equity led her to pursue a Ph.D. in Applied Economics at Northeastern University, Shenyang, China. From early in her academic career, she was drawn to complex issues such as income distribution, the digital economy, and environmental sustainability. This solid academic base has equipped her with both the theoretical knowledge and practical skills necessary to tackle pressing global economic challenges.

💼 Professional Endeavors

Though currently a Ph.D. student, Ms. Sun’s professional contributions are already noteworthy. She has authored and co-authored several research papers published in internationally recognized journals such as Economic Research-Ekonomska Istrazivanja, Journal of Environmental Planning and Management, Frontiers in Environmental Science, and PLOS ONE. These publications have addressed vital questions surrounding economic modernization, particularly in the context of China’s rapid digital transformation and green development initiatives.

In addition to her academic publishing, Ms. Sun holds an editorial appointment with the Asia Pacific Economic and Management Review, where she contributes to the peer review and knowledge dissemination processes. Her work reflects a deep commitment to advancing scholarly dialogue in her fields of interest.

🧠 Contributions and Research Focus

Ms. Xiaoshu Sun’s research is primarily focused on three interconnected areas:

  • Digital Economy

  • Green Economy

  • Income Distribution

One of her most significant contributions involves using the non-expected SBM-DEM model to measure green manufacturing efficiency across 274 prefecture-level cities in China. This empirical study has revealed that the coupling coordination between digitalization and green efficiency remains relatively low, with stark regional disparities. Notably, her findings emphasize that the digital economy exerts a positive “radiation effect”, meaning it not only boosts green manufacturing efficiency within a region but also benefits neighboring areas through technological spillovers. She further discovered that industrial agglomeration serves as a partial mediating factor in this process, highlighting the importance of industrial clustering in enhancing regional development.

Her published works reflect a strong methodological foundation, including the application of Spatial Durbin Modelling to analyze spatial effects and interdependencies. These insights are vital for policymakers aiming to bridge the digital divide and promote environmentally sustainable industrial growth.

🏆 Accolades and Recognition

While Ms. Sun is still in the early stages of her professional journey, her scholarly output has already earned international attention through publications in SSCI, SCI, and Scopus-indexed journals. This achievement is significant, especially for a Ph.D. candidate, and points to the rigorous quality and relevance of her work. Furthermore, her appointment to the editorial board of an academic journal at this stage of her career is a testament to her growing recognition within the academic community.

🌍 Impact and Influence

Ms. Sun’s research has direct implications for economic policy, urban planning, and sustainable development in China and other emerging economies. By highlighting the nuanced interactions between digital innovation and green growth, she offers a valuable roadmap for achieving sustainable economic modernization. Her findings advocate for targeted policy interventions to enhance digital infrastructure, foster industrial clusters, and balance regional development.

Moreover, her work contributes to global academic conversations around the UN Sustainable Development Goals (SDGs), particularly in areas such as industry innovation (SDG 9), reduced inequalities (SDG 10), and sustainable cities and communities (SDG 11).

🌟 Legacy and Future Contributions

Looking ahead, Ms. Xiaoshu Sun is poised to become a leading scholar in applied economics with a particular focus on the digital-green transition. As she progresses in her academic career, she is likely to engage in policy consultancy, interdisciplinary collaborations, and potentially take on advisory roles in governmental or international organizations. Her ability to bridge the gap between theoretical research and real-world application will be instrumental in shaping the next generation of sustainable economic policies.

With her proven analytical skills, dedication to sustainability, and commitment to academic excellence, Ms. Sun is set to leave a lasting impact not only in China but also on the broader global stage.

Publication Top Notes

How the digital economy can contribute to green manufacturing efficiency

Contributors: Xiaoshu Sun; Wanyu Zhang; Xianming Kuang
Journal: Frontiers in Environmental Science
Year: 2024

Will advances in digital technology reduce the rural-urban income gap?

Contributors: Xiaoshu Sun; Xianming Kuang
Journal: Economic Research-Ekonomska Istraživanja
Year: 2023

A study of industrial structure, government attention, and coupling coordination of digital-green economy in China

Contributors: Xiaoshu Sun; Jie Tao; Xianming Kuang
Journal: Environmental Planning and Management
Year: 2023

JAYAPRAKASH BEHERA | Chemistry | Best Researcher Award | 13370

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Mr. JAYAPRAKASH BEHERA | Chemistry | Best Researcher Award 

Mr. JAYAPRAKASH BEHERA, CSIR-IIIM JAMMU, India

Mr. Jayaprakash Behera is a distinguished researcher currently pursuing a Ph.D. at CSIR-IIIM Jammu under AcSIR. With a strong academic background in chemistry and material science, he holds an M.Phil. from VSSUT Burla and an M.Sc. in Organic Chemistry from Galgotias University. He has served in key roles within the CSIR Aroma Mission and has previously contributed to prestigious research projects at IIT Guwahati and IIT Delhi. A recipient of over 30 international and national awards—including the Dr. A.P.J. Abdul Kalam Nation Star Award and the Nelson Mandela International Award—he is also a five-time world record holder. Mr. Behera has authored several scientific articles, developed innovative products, and is an active member of multiple scientific organizations globally.

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🌱 Early Academic Pursuits

Mr. Jayaprakash Behera’s journey into the scientific world began with a solid foundation in chemistry. He completed his B.Sc. in Chemistry from BJB Autonomous College, Bhubaneswar, affiliated with Utkal University in 2013. Driven by a passion for organic and material sciences, he pursued an M.Sc. in Organic Chemistry from the School of Basic and Applied Sciences at Galgotias University, Uttar Pradesh, in 2017. His academic trajectory continued to climb as he earned an M.Phil. in Polymer Chemistry and Material Science from the Department of Chemistry at Veer Surendra Sai University of Technology (VSSUT), Burla in 2020.

Currently, Mr. Behera is advancing his academic journey by pursuing a Ph.D. at CSIR–IIIM Jammu under the AcSIR program, focusing on interdisciplinary research that bridges organic chemistry, materials science, and applied industrial innovation.

🧪 Professional Endeavors

Mr. Behera’s professional experience is a testament to his dynamic involvement in various cutting-edge research projects. He is currently serving as a Project Associate-I under the prestigious CSIR Aroma Mission Phase-III, a national initiative aimed at promoting aromatic crops and developing value-added products.

Previously, he contributed significantly as a Project Assistant-I during Phase-II of the Aroma Mission (2021–2023), where his work involved developing applications from essential oils and natural extracts. His career also includes a pivotal stint as a Junior Research Fellow (JRF) in a DST-funded project at Malaviya National Institute of Technology (MNIT), Jaipur, from 2017 to 2019.

His research exposure was further enriched by hands-on project work at IIT Guwahati and IIT Delhi, where he worked on minor and major research projects related to chemical synthesis and materials science.

🔬 Contributions and Research Focus

Mr. Behera’s research focuses span a broad spectrum, including organic synthesis, polymer chemistry, material science, and ethnopharmacology. His work emphasizes creating innovative solutions for skin and hair care, developing nanoparticles for seed coating, and designing medicinal soaps for skin ailments.

He has also made notable contributions through international publications, with two articles published in Springer Nature and one in Wiley, underscoring his commitment to advancing global scientific discourse. Furthermore, he has successfully developed three international products and holds a trademark for a medicinal soap, showcasing his entrepreneurial spirit in translating lab research into real-world applications.

🏆 Accolades and Recognition

A true polymath, Mr. Behera is a five-time world record holder, recognized by institutions such as:

  • London Book of World Records

  • USA Book of World Records (twice)

  • Prestigious Book of World Records

  • Orient Book of World Records

His dedication and innovation have earned him over 30 national and international awards, including:

  • Dr. A.P.J. Abdul Kalam Nation Star Award

  • Young Scientist Award (multiple times)

  • Nelson Mandela International Award (2025)

  • Rabindranath Tagore Hall of Fame Award

  • Mother Teresa Social Reformer Award

  • Global Icon Award

  • International Icon Award (2025)

These awards recognize not only his scientific brilliance but also his humanitarian and educational contributions.

🌍 Impact and Influence

Mr. Behera’s work has reached far beyond the lab. His participation in international exhibitions like GLOBAL BIO INDIA 2023 and five national exhibitions has helped showcase indigenous innovations in sustainable chemistry and healthcare.

He holds lifetime memberships in numerous respected scientific bodies such as:

  • Indian Science Congress

  • Society for Ethnopharmacology

  • International Association of Oncology

  • Eudoxia Research University

  • All India Council for Technical Skill Development

  • SRMS Foundation

These affiliations underline his influence in multiple domains—research, policy, education, and community outreach.

🚀 Legacy and Future Contributions

Looking ahead, Mr. Behera is poised to make even greater contributions. His trajectory is clearly aimed at bridging the gap between traditional science and modern technology. Through sustainable product development, community engagement, and international collaboration, he is creating a legacy of scientific excellence paired with social impact.

With his unique blend of academic rigor, innovation, and humanitarian vision, Mr. Jayaprakash Behera is not just shaping the future of scientific research in India—he is influencing global perspectives on integrative and sustainable science. His continued contributions promise to elevate research that improves lives, encourages innovation, and promotes knowledge sharing across borders.

Publication Top Notes

Nano boron nitride laminated poly (ethyl methacrylate)/poly (vinyl alcohol) composite films imprinted with silver nanoparticles as gas barrier and bacteria resistant packaging

Author: J Behera, S Patra, S Nazrul, SK Sharma, D Kumar, MK Verma, AK Katare, …
Journal: Applied Polymer Science
Year: 2024

Bioassay-guided fractionations of Cannabis sativa extract and HPLC-assisted purifications of anti-proliferative active fractions lead to the isolation of 16

Author: Y Nalli, S Bharti, T Amin, R Singh, J Behera, SS Bhayye, YP Bharitkar, …
Journal: Medicinal Chemistry Research
Year: 2024

Nuzhat Prova | Data Science | Excellence in Research Award| 13363

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Ms. Nuzhat Prova | Data Science | Excellence in Research Award

Ms. Nuzhat Prova, Pace University, United States

Ms. Nuzhat Prova is a seasoned Data Scientist with over 12 years of IT experience, including more than 7 years in data science and advanced analytics. Based in New York, she specializes in machine learning, predictive modeling, and data visualization, with extensive expertise in Python, R, SQL, and cloud platforms such as Azure and AWS. Currently at UnitedHealth Group, she leads the development of AI-driven solutions for healthcare optimization. Ms. Prova holds a strong academic foundation from Pace University and is recognized for her impactful work in healthcare data science, cloud migration strategies, and AI integration in compliance with HIPAA standards.

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🎓 Early Academic Pursuits

Ms. Nuzhat Prova’s journey into the world of data science and technology began with a strong academic foundation rooted in analytical thinking and problem-solving. Her passion for mathematics, logic, and data interpretation led her to pursue studies that honed her computational and statistical skills. Her academic journey culminated at Pace University, United States, where she received training that not only deepened her understanding of information systems but also introduced her to advanced concepts in data analysis, machine learning, and artificial intelligence. This academic background provided her with the tools and insights necessary to thrive in a data-driven world and empowered her to take on real-world challenges with scientific rigor.

💼 Professional Endeavors

With more than 12 years of experience in IT, including 7+ years in data science and 5 years in data analysis, Ms. Prova has had a dynamic and impactful career. Her professional journey includes roles of increasing responsibility and technical depth across a range of industries, with a current focus in the healthcare sector. At UnitedHealth Group, one of the largest health insurance companies in the U.S., she has played a key role in designing and deploying data-driven solutions that have real-life implications for public health.

Her work spans end-to-end machine learning model development, cloud data warehouse migrations, and advanced analytics to predict and manage chronic conditions. She has contributed to reducing hospital readmission rates, increasing patient retention, and enhancing preventive care strategies by building sophisticated predictive models using tools such as Python, Scikit-learn, Azure ML, and SQL.

She also actively contributes to data engineering processes, managing large datasets using Apache Spark, Scala, and Azure Data Factory, and supports migration efforts from on-premise systems to Azure and Snowflake, ensuring data security, integrity, and accessibility.

🔍 Contributions and Research Focus

Ms. Prova’s research and professional contributions focus primarily on applying AI and machine learning to improve healthcare outcomes. Her key interests include predictive analytics, chronic disease modeling, natural language processing (NLP) using Transformers and OpenAI APIs, and privacy-compliant data solutions.

One of her standout achievements includes developing churn prediction models that helped increase member retention rates. Additionally, she has worked on retrieval-augmented generation (RAG) architecture for smarter data access and implemented AI search tools that comply with HIPAA and FHIR standards.

Her technical repertoire includes a vast array of tools and frameworks like TensorFlow Federated, SHAP, LIME (for explainability), AutoML, DVC, and Kubeflow, making her a well-rounded data scientist with a research-driven mindset.

🏆 Accolades and Recognition

Throughout her career, Ms. Prova has earned recognition for her exceptional ability to bridge technical expertise with real-world application. Her leadership in cloud migration projects and AI-based healthcare solutions has been acknowledged internally within organizations she’s worked with. Moreover, her improvements in model accuracy—enhancing predictions from 65% to 86% using SVM algorithms—speak volumes about her dedication and technical acumen.

She is often entrusted with high-stakes projects involving sensitive data and cross-functional collaborations, a testament to the confidence and trust she has earned over time. Her professional presence is also reflected through her LinkedIn profile, where she connects with peers, shares insights, and stays updated with the evolving tech landscape.

🌍 Impact and Influence

Ms. Prova’s work in healthcare data science has had a tangible impact on patients’ lives. From reducing healthcare costs through improved forecasting to enhancing treatment pathways, her contributions have been both strategic and humanitarian. She embodies the modern data scientist—technically adept, ethically grounded, and results-oriented.

Her interdisciplinary approach—combining technology, healthcare, and policy compliance—has influenced how data science solutions are designed for the public good. Furthermore, she mentors and collaborates with other professionals, encouraging diversity and inclusion in the tech community.

🛤️ Legacy and Future Contributions

Ms. Prova’s legacy is being shaped by her consistent drive to integrate cutting-edge technologies with meaningful applications. Looking ahead, she aims to deepen her engagement with explainable AI, federated learning, and ethical machine learning frameworks. Her vision includes building intelligent systems that not only optimize performance but also respect user privacy and promote equitable outcomes.

As AI continues to influence healthcare delivery, Ms. Prova is poised to remain at the forefront—guiding the evolution of AI strategies and contributing to policy, governance, and community-based initiatives. Her future endeavors will likely include publishing research, speaking at conferences, and contributing to open-source healthtech platforms.

Publication Top Notes

Healthcare Fraud Detection Using Machine Learning

Author: NNI Prova
Journal: Second International Conference on Intelligent Cyber Physical Systems
Year: 2024

Deep Learning Approaches for Multi Class Leather Texture Defect Classifcation

Author: T Akter, ASA Samman, AH Lily, MS Rahman, NNI Prova, MIK Joy
Journal: International Conference on Computing Communication and Networking
Year: 2024

Exploring Bengali speech for gender classification: machine learning and deep learning approaches

Author: HD Arpita, A Al Ryan, MF Hossain, MS Rahman, M Sajjad, NNI Prova
Journal: Bulletin of Electrical Engineering and Informatics
Year: 2025

Yunxia Chen | Data Science | Best Researcher Award | 13362

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Prof. Yunxia Chen | Data Science | Best Researcher Award 

Prof. Yunxia Chen, School of Reliability and Systems Engineering, Beihang University, China

Prof. Yunxia Chen is a distinguished researcher and professor at the School of Reliability and Systems Engineering, Beihang University, China. Her pioneering work in system reliability has led to significant advancements in failure mechanism modeling, life prediction, and high-reliability design. With over 57 SCI publications, 43 patents, and leadership in multiple national projects, she has shaped both academic and industrial practices. Prof. Chen’s collaborations with top international researchers and her leadership roles in global conferences reflect her influence in the field. Her contributions have earned her two prestigious National Defense Science and Technology Progress Awards.

Profile

Scopus

🌱 Early Academic Pursuits

Prof. Yunxia Chen’s academic journey began with a deep-rooted interest in systems engineering and mechanical reliability—fields that demand both precision and vision. Her early education laid a strong foundation in engineering principles, which she further solidified through her pursuit of a doctoral degree. Earning her Ph.D. equipped her with advanced knowledge and skills to tackle the complexities of system reliability. These formative years were marked by curiosity, discipline, and a relentless pursuit of knowledge—traits that would define her future contributions to engineering science.

🏛️ Professional Endeavors

Prof. Chen currently serves as a Professor and Research Dean at the School of Reliability and Systems Engineering, Beihang University, one of China’s premier research institutions. Over the years, she has built a robust portfolio of leadership roles in research and academia. Her professional scope extends beyond traditional academic duties to include shaping national and international engineering standards, managing high-impact research projects, mentoring emerging scholars, and fostering interdisciplinary collaborations.

Her commitment to innovation and academic excellence is evidenced by her role in the development of two national industry standards, showcasing her impact on policy as well as practice. Moreover, her ability to balance administrative, teaching, and research responsibilities highlights her dynamic and multifaceted academic persona.

🔬 Contributions and Research Focus

Prof. Chen has made groundbreaking contributions in the domain of complex system reliability, particularly in understanding failure mechanism evolution, failure behavior propagation, and data-physics-driven prognostics. Her research interests span:

  • Reliability modeling and simulation of complex systems

  • High-reliability and long-lifetime design techniques

  • Experimental methodologies for small-sample evaluation

  • Fault-physics based verification systems

  • Advanced prognostics and health management systems (PHM)

Notably, she has authored over 57 SCI-indexed journal papers, published a monograph, and holds 43 authorized invention patents. Her research has had over 1200 citations, including 31 publications in top-tier journals and one highly cited paper, demonstrating her work’s relevance and influence.

Prof. Chen’s research portfolio includes 12 major projects, 35 consultancy assignments, and numerous editorial responsibilities. Her active involvement as an Area Editor, Program Committee Member, and Organizing Chair for prestigious international conferences further underscores her commitment to the global scientific community.

🏆 Accolades and Recognition

Prof. Chen’s scholarly achievements have been recognized with two First Prizes in the National Defense Science and Technology Progress Awards—one of the highest honors in China’s scientific community. These awards celebrate her pioneering work in system reliability research and her impactful role in advancing national defense technologies.

In addition, she holds several editorial and leadership positions in major technical journals and societies, including:

  • Executive Committee Member, Reliability Engineering Branch (CSME)

  • Vice Chairman, Reliability Branch of the China Electronics Society

Her leadership and expertise are widely acknowledged within both academic and industrial circles, further validating her status as a thought leader in her field.

🌍 Impact and Influence

Prof. Chen’s influence extends beyond borders. She has engaged in high-impact collaborations with renowned scholars such as Professor Frank Lam, Professor Terje Haukaas, and Professor Gadala Mohamed S. at the University of British Columbia, Canada. These collaborations explore reliability system modeling based on fault physics, facilitating knowledge exchange and co-development of innovative solutions.

Her work has shaped engineering practices, industry standards, and higher education curricula, setting benchmarks for excellence in system reliability engineering. As a mentor, she has inspired and guided numerous young researchers who are now making their own contributions to the field.

🌟 Legacy and Future Contributions

As she continues to lead cutting-edge research and influence future generations, Prof. Chen’s legacy lies in her integrative approach to engineering challenges—combining theory, practice, data, and innovation. She envisions a future where smart, self-healing systems proactively adapt to environmental and operational stresses, thus minimizing failure and maximizing safety and efficiency.

In the coming years, her focus will include:

  • Enhancing AI-integrated reliability prediction systems

  • Developing intelligent, adaptive maintenance strategies

  • Expanding international research networks for collaborative problem-solving

Publication Top Notes

Causal graph-based spatial–temporal attention network for RUL prediction of complex systems

Author: S., Zheng, Shuwen, J., Liu, Jie, Y., Chen, Yunxia, Y., FAN, Yu, D., Xu, Dan
Journal: Computers and Industrial Engineering, 
Year: 2025

Meta-learning collaborative optimization for lifetime prediction of lithium-ion batteries considering label noise

Author: G., Wang, Guisong, C., Wang, Cong, Y., Chen, Yunxia, J., Liu, Jie

Journal: Energy Storage,

Year: 2025

Unsupervised dynamic prognostics for abnormal degradation of lithium-ion battery

Author: C., Wang, Cong, Y., Chen, Yunxia

Journal: Applied Energy,

Year: 2024

 

 

Zhigang Yu | Alloys Design | Best Researcher Award | 13361

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Assoc. Prof. Dr. Zhigang Yu | Alloys Design | Best Researcher Award

Assoc. Prof. Dr. Zhigang Yu, Shanghai University, China

Assoc. Prof. Dr. Zhigang Yu is a faculty member at Shanghai University, China, specializing in thermodynamics and design of magnesium alloys through multi-scale computational methods and machine learning. He earned his Ph.D. in 2019 from Shanghai University and currently serves as an Associate Professor in the School of Materials Science and Engineering. Dr. Yu has published extensively in high-impact journals such as Journal of Materials Science & Technology and J. Chem. Theory Comput., and is a corresponding author on several pioneering works. He is a recipient of the prestigious Shanghai Oriental Talents Program (2023) and serves on the Youth Committee of the Journal of Materials Informatics. His contributions to the field have been recognized through awards and invitations as a speaker and conference chair in prominent materials science forums.

Profile

Orcid

🎓 Early Academic Pursuits

From the very beginning of his academic journey, Dr. Zhigang Yu demonstrated an exceptional passion for materials science and engineering. Born in 1989 in China, he pursued his undergraduate studies at Yantai University, earning a Bachelor of Science in 2012. His early exposure to materials and mechanical processes sparked a deep curiosity that led him to pursue higher education at Shanghai University, one of China’s leading research institutions.

At Shanghai University, he obtained his Master of Arts in 2015, followed by a Ph.D. in 2019, focusing on thermodynamics and alloy behavior. Throughout his academic development, Dr. Yu showed consistent dedication, a thirst for scientific exploration, and an ability to connect theoretical knowledge with practical application. His academic performance and research aptitude set a strong foundation for what would become a promising and impactful career in research and innovation.

💼 Professional Endeavors

Dr. Yu’s professional trajectory is marked by steady growth and consistent excellence. After completing his doctorate, he joined Shanghai University as a Postdoctoral Research Fellow from January 2020 to September 2022. This period allowed him to deepen his research in material thermodynamics and begin independent investigations, particularly in computational alloy modeling.

In October 2022, he was appointed as an Associate Professor at the university, a role that recognizes his academic maturity and leadership potential. As a teacher and mentor, Dr. Yu plays a vital role in training the next generation of engineers and materials scientists while advancing his own research on magnesium alloy design and artificial intelligence integration.

🔬 Contributions and Research Focus

Dr. Yu’s research sits at the intersection of traditional metallurgy and modern computational science. His primary research areas include:

  • Thermodynamics of Magnesium Alloys 🔩

  • Multi-scale Calculation Methods 🧮

  • Machine Learning-Assisted Alloy Design 🤖

He applies cutting-edge multi-scale modeling techniques to predict the thermodynamic behavior of magnesium alloys, making them more lightweight, efficient, and suitable for industrial applications such as aerospace, automotive, and electronics. Additionally, Dr. Yu’s work in applying machine learning algorithms to materials design is revolutionary, contributing significantly to the growing field of materials informatics.

He has published extensively, with over 10 high-impact journal articles, many as first or corresponding author, in esteemed journals such as Journal of Materials Science & Technology, J. Chem. Theory Comput., Materials & Design, and Ceramics International.

🏆 Accolades and Recognition

Dr. Yu’s work has not gone unnoticed. Over the years, he has received numerous prestigious awards and honors, including:

  • 🥇 Best Paper in Magnesium Alloy Section at the 4th International Conference of Non-Ferrous Materials (2024)

  • 🧠 Awardee of the Shanghai Oriental Talents Program (2023), a significant recognition for promising young scientists

  • 🎤 Invited Speaker at the 8th Asian Conference on Materials and Data (2024)

  • 📘 Youth Committee Member, Journal of Materials Informatics (2025–2026)

  • 🎓 Conference Chair, 6th National Hydrogen Energy Doctoral Academic Forum (2017)

These recognitions reflect both the scientific merit of his work and his leadership within the academic community.

🌍 Impact and Influence

Dr. Zhigang Yu’s research has a far-reaching impact on both academic and industrial fields. His pioneering efforts in alloy design and modeling contribute directly to the development of sustainable and high-performance materials. Through his work, industries can develop lighter and stronger alloys, leading to improved fuel efficiency and environmental sustainability.

As a mentor, Dr. Yu is deeply involved in guiding students, fostering interdisciplinary thinking, and promoting scientific excellence. His research collaborations and publications influence peers globally, making him a recognized voice in the field of materials science.

🌟 Legacy and Future Contributions

Looking ahead, Assoc. Prof. Dr. Zhigang Yu is well-positioned to become a leading figure in the integration of artificial intelligence with materials science. His ability to blend classical metallurgical concepts with modern computation and machine learning gives him a unique edge in shaping the future of smart materials and sustainable technologies.

He aims to further expand his research by building interdisciplinary collaborations, participating in international research consortia, and mentoring young scholars to carry forward the torch of scientific discovery. His commitment to innovation, education, and societal benefit ensures a lasting legacy within and beyond the academic community.

Publication Top Notes

Computational design of corrosion-resistant Mg-Al-RE alloys with electrochemical potential of phases

Contributors: Zhigang Yu; Yu Li; Shuai Jiang; Lei Shi; Jun Luan; Hongqiang Fan; Yunying Fan; Kuochih Chou
Journal: Alloys and Compounds
Year: 2025

Local chemical fluctuation-tailored hierarchical heterostructure overcomes strength-ductility trade-off in high entropy alloys

Contributors: Pengcheng Cai; Jiaheng Liu; Jun Luan; Junwei Chen; Jianhua Chen; Xionggang Lu; Zhigang Yu; Kuochih Chou
Journal: Materials Science & Technology
Year: 2025

VASE: A High-Entropy Alloy Short-Range Order Structural Descriptor for Machine Learning

Contributors: Jiaheng Liu; Pengbo Wang; Jun Luan; Junwei Chen; Pengcheng Cai; Jianhua Chen; Xionggang Lu; Yunying Fan; Zhigang Yu; Kuochih Chou
Journal: Chemical Theory and Computation
Year: 2024

 

Yong-Nan Liu | Macrofungi | Best Researcher Award | 13358

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Prof. Yong-Nan Liu | Macrofungi | Best Researcher Award

Prof. Yong-Nan Liu, Central South University of Forestry and Technology, China

Prof. Yong-Nan Liu is an Associate Professor at Central South University of Forestry and Technology, China, specializing in microbiology with a focus on medicinal mushrooms. His groundbreaking research has elucidated molecular pathways regulating ganoderic acid biosynthesis under stress conditions, including the role of phosphatidic acid, mTOR, and SREBP. He has led several national and provincial research projects and published extensively in high-impact journals such as Communications Biology and Environmental Microbiology. His contributions significantly advance the understanding of bioactive compounds in fungi with pharmaceutical potential, earning him recognition as a leading figure in fungal biotechnology.

Profile

Orcid

🎓 Early Academic Pursuits

Prof. Yong-Nan Liu began his scholarly journey with a deep-rooted interest in the biological sciences, which eventually led him to pursue a Ph.D. in Microbiology. His early academic pursuits were marked by a profound curiosity about the molecular mechanisms underlying the development of mushrooms, especially those with medicinal properties. From the beginning, Prof. Liu demonstrated a keen eye for cellular biochemistry and fungal physiology, distinguishing himself as a student with both analytical brilliance and a drive for discovery. His doctoral work laid a strong foundation for his future research into the bioactive compounds produced by fungi, focusing on their nutritional and pharmacological potential.

👨‍🏫 Professional Endeavors

As an Associate Professor at the Central South University of Forestry and Technology in China, Prof. Liu has emerged as a dedicated educator and leading researcher. His professional career is defined by a dual commitment to mentoring young scientists and conducting high-impact research. He has undertaken several pivotal projects funded by the National Natural Science Foundation of China, the China Postdoctoral Science Foundation, and provincial bodies like the Hunan Science and Technology Innovation Program.

His laboratory is a hub of cutting-edge research in fungal biology, where he explores the metabolic pathways and stress responses of medicinal fungi such as Ganoderma lingzhi and Sanghuangporus lonicericola. Prof. Liu integrates advanced biochemical and molecular techniques to understand how environmental factors, such as heat stress or lipid exposure, influence secondary metabolite production in mushrooms.

🔬 Contributions and Research Focus

Prof. Liu’s most notable scientific contributions revolve around the discovery of how specific molecular pathways regulate the biosynthesis of ganoderic acid and other terpenoids in mushrooms. His groundbreaking research revealed that phosphatidic acid directly activates the mTOR signaling pathway, which in turn regulates SREBP—a key transcription factor—in the biosynthesis of ganoderic acid under heat stress conditions in Ganoderma lingzhi. This discovery has significant implications for optimizing mushroom cultivation for pharmaceutical applications.

He further explored the molecular mechanisms of unsaturated fatty acid-induced terpenoid biosynthesis in Sanghuangporus lonicericola, expanding the understanding of how lipids influence fungal metabolism. His multi-omics approach, combined with deep molecular analysis, places him at the forefront of fungal biotechnology.

🏅 Accolades and Recognition

Prof. Liu’s excellence in research has been recognized with prestigious grants, including multiple national and provincial projects. His publications in high-impact journals such as Communications Biology, Environmental Microbiology, and NPJ Science of Food have garnered significant academic attention. Several of his papers are authored as first or corresponding author, a testament to his leadership in the field.

He has received support from elite funding agencies such as:

  • National Natural Science Foundation of China (Grant No. 31900027)

  • China Postdoctoral Science Foundation (Grant No. 2020M682601)

  • Natural Science Foundation of Hunan Province (Grant No. 2024JJ5629)

Though Prof. Liu has not yet published books or secured patents, his work has laid a solid groundwork for future technological innovations and industry collaborations.

🌏 Impact and Influence

Prof. Liu’s research has broad implications not only in academic circles but also for pharmaceutical and nutraceutical industries. By deciphering the biochemical basis of ganoderic acid and terpenoid biosynthesis, his work contributes to improving the commercial cultivation of medicinal fungi. His findings aid in the development of functional foods, natural therapeutics, and bioproducts, boosting both public health and bioeconomy sectors.

In addition, he actively mentors graduate students and young researchers, fostering a new generation of scientists equipped with both theoretical knowledge and practical skills. His lab acts as a training ground for innovative thinkers passionate about mushroom biotechnology and bioactive compounds.

🌟 Legacy and Future Contributions

Prof. Yong-Nan Liu is steadily building a legacy as a pioneering researcher in the molecular biology of medicinal fungi. With a solid foundation of impactful research and funding support, his future contributions are poised to further transform the fields of mycology, biochemistry, and natural product pharmacology. He plans to extend his work into exploring genome editing techniques, synthetic biology applications, and AI-based modeling of metabolic pathways in fungi.

As a scientist dedicated to both knowledge creation and societal benefit, Prof. Liu embodies the ideal of a modern researcher—innovative, collaborative, and impactful. His continued contributions promise to expand the understanding of fungal secondary metabolism and its applications in health, nutrition, and sustainable biotechnology.

📂Publication Top Notes

Paclobutrazol induces triterpenoid biosynthesis via downregulation of the negative transcriptional regulator SlMYB in Sanghuangporus lonicericola

Contributors: Dong-Xue Zhang, Bi-Yang Liu, Fei-Fei Xue, Yu-Lin Tang, Meng-Jiao Yan, Si-Xian Wang, Lu Guo, Tian Tong, Li-Nan Wan, Yong-Nan Liu et al.
Journal: Communications Biology
Year: 2025

Phosphatidic acid directly activates mTOR and then regulates SREBP to promote ganoderic acid biosynthesis under heat stress in Ganoderma lingzhi

Contributors: Yong-Nan Liu; Yu-Lin Chen; Zi-Juan Zhang; Feng-Yuan Wu; Hao-Jin Wang; Xiao-Ling Wang; Gao-Qiang Liu
Journal: Communications Biology
Year: 2024

Chitinase Is Involved in the Fruiting Body Development of Medicinal Fungus Cordyceps militaris

Contributors: Zi-Juan Zhang; Yuan-Yuan Yin; Yao Cui; Yue-Xuan Zhang; Bi-Yang Liu; You-Chu Ma; Yong-Nan Liu; Gao-Qiang Liu
Journal: Life
Year: 2023

 

 

Keying Song | Fitness Science | Best Researcher Award | 13356

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Dr. Keying Song | Fitness Science | Best Researcher Award 

Dr. Keying Song, Gdansk University of Physical Education and Sport, Poland

Dr. Keying Song is a university lecturer and researcher at the Gdańsk University of Physical Education and Sport in Poland, specializing in sports science with a focus on sports dance, aerobics, and cheerleading. She holds a Ph.D. in Sport and Fitness Science and has a strong academic foundation in both physical education and music performance. Dr. Song has published multiple peer-reviewed articles in Q2 journals on topics related to aging, mental health, and physical activity. With extensive teaching experience at Zhengzhou Business University and Wenzhou Polytechnic College in China, she is recognized for her innovative curriculum design, successful coaching of award-winning student teams, and contributions to educational reform through blended learning and flipped classroom models.

Profile

Orcid

🎓 Early Academic Pursuits

Dr. Keying Song’s academic journey is marked by a unique blend of artistic and athletic disciplines. Born on June 4, 1992, in China, she began her higher education at Zhengzhou University, where she earned a Bachelor’s Degree in Music Performance (2011–2015). During this period, she honed her skills in choreography and musical interpretation, laying the groundwork for her future integration of music and movement through sports dance.

She furthered her education with a Master’s Degree in Physical Education (2016–2018), also at Zhengzhou University. Her master’s studies focused on pedagogical methodologies in physical education and the development of competitive training programs. This dual academic foundation in both the arts and physical education positioned her uniquely in the field of sports science.

Currently, Dr. Song is pursuing her Ph.D. in Sport and Fitness Science at the Gdańsk University of Physical Education and Sport in Poland (since 2022). Her doctoral work is grounded in both theoretical and applied aspects of physical education, with a specialization in sports dance, aerobics, and cheerleading.

👩‍🏫 Professional Endeavors

Dr. Song’s professional career reflects a deep commitment to education, student development, and curriculum innovation. She began her academic teaching career as a Physical Education Lecturer at Wenzhou Polytechnic College (2018–2019), where she taught cheerleading and sports dance while actively leading extracurricular activities that strengthened student participation and campus life.

From 2019 to the present, she has served as a Physical Education Lecturer at Zhengzhou Business University, where she has made notable strides in curriculum development. Dr. Song integrated innovative teaching models such as blended learning and the flipped classroom into sports education. These approaches revolutionized traditional teaching paradigms and improved student engagement and performance.

Her leadership in coaching has also been exemplary, with student teams under her guidance winning over 20 national and provincial-level awards in sports dance and aerobics. Her commitment to the “Course Ideology and Politics” initiative reflects her role in aligning physical education with China’s broader educational reform strategies.

📚 Contributions and Research Focus

Dr. Song has made significant scholarly contributions in the interdisciplinary areas of physical education, public health, and gerontology. She has published three research papers in reputable, Q2-ranked journals, focusing on the relationships between social engagement, mental health, aging, and physical activity. These include:

  1. “Receiving financial support and its association with late-age depression: The mediating role of social engagement” – Experimental Gerontology (2025)

  2. “Urban-rural differences in the successful aging among older adults in China” – PLOS ONE (2025)

  3. “Leisure Activities, Self-reported Health, Anxiety, and Depression in Chinese Older Adults” – Frontiers in Public Health (Forthcoming)

In addition to her publications, Dr. Song has participated in seven academic research projects, acting as project lead, co-lead, or collaborator. Her research interests lie at the intersection of sports pedagogy, mental wellness, cultural studies, and community health.

🏆 Accolades and Recognition

Dr. Song’s dedication and excellence have been widely recognized. She has earned several prestigious awards, including:

  • Outstanding Coach (2019–2021) – awarded by the Chinese Sports Dance Federation.

  • Excellent Teaching Materials Award – Third Prize (2021) for her creative and impactful curriculum design.

  • Outstanding Teacher of the Year – awarded for three consecutive years (2019–2021) for her exemplary teaching and mentorship.

In the realm of performance, she has also achieved first-place victories in national-level sports dance competitions, including:

  • Champion, Henan Provincial Sports Dance Championships (2017)

  • First Place, National Youth Sports Dance Invitational (2018)

🌍 Impact and Influence

Dr. Song’s influence extends beyond the classroom and dance floor. Her academic and practical contributions have enriched both the educational systems and cultural heritage of physical education in China. Through her research, she has shed light on the socio-psychological benefits of physical activity in aging populations—contributions that are increasingly relevant in the context of global demographic changes.

Her innovative teaching practices have served as models for other educators, particularly in the integration of traditional physical education with digital pedagogical tools. She has played a pivotal role in shaping the academic discourse around sports dance and its significance in both education and community well-being.

🔮 Legacy and Future Contributions

Looking ahead, Dr. Song is poised to leave a lasting legacy in sports science education and research. Her ongoing Ph.D. studies in Poland underscore her commitment to international academic exchange and knowledge development. She envisions expanding her work to explore the global applications of sports dance in mental health, cultural expression, and active aging.

Her ability to seamlessly integrate music, movement, pedagogy, and research positions her as a forward-thinking leader in the field. With a proven record of excellence, innovation, and impact, Dr. Keying Song is set to shape the next generation of sports science scholars, educators, and practitioners—both in China and internationally.

Publication Top  Notes

Receiving financial support and its association with late-age depression: The mediating role of social engagement

Contributors: Keying Song; Zijian Zhao; Amiya Saha; Jhumki Kundu
Journal: Experimental Gerontology
Year: 2025

Urban-rural differences in the successful aging among older adults in China

Contributors: Keying Song; Thalía Fernández; Jiedan Luo; Xiaodong Cao; Zijian Zhao
Journal: PLOS ONE
Year: 2025