Li-Chung Pien | Biological Sensors | Best Researcher Award

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Best Researcher Award

Li-Chung Pien
Department of Nursing, College of Medicine, National Cheng Kung University (NCKU), Taiwan

Li-Chung Pien
Affiliation National Cheng Kung University (NCKU)
Country Taiwan
Scopus ID 54388391800
Documents 47
Citations 925
h-index 16
Subject Area Psychiatric Nursing, Occupational Health, Nursing Education, Biological Sensors
Event Global Sensor Awards
ORCID 0000-0002-4918-8935

Li-Chung Pien is a Taiwanese nursing scholar and researcher whose academic contributions span psychiatric nursing, occupational health, psychosocial workplace hazards, nursing education innovation, and healthcare workforce development. His research has focused on workplace violence, burnout, incivility, psychological capital, and AI-assisted nursing education. Through interdisciplinary collaborations and extensive publication activity in internationally indexed journals, he has contributed to evidence-based nursing practice and healthcare policy development.[1]

Abstract

Li-Chung Pien has established a multidisciplinary research profile combining psychiatric nursing, occupational health, nursing management, educational innovation, and healthcare workforce studies. His work addresses psychosocial workplace hazards affecting nurses and healthcare professionals while simultaneously advancing nursing education through artificial intelligence, simulation-based learning, and flipped classroom methodologies. Through national and international collaborations, funded research projects, editorial leadership, and peer-reviewed publications, he has contributed to strengthening evidence-based nursing practice and workforce well-being.[2]

Keywords

Psychiatric Nursing, Occupational Health, Nursing Education, Artificial Intelligence, Workplace Violence, Burnout, Psychological Capital, Workplace Incivility, Mental Health Nursing, Multilevel Analysis, Scale Development, Healthcare Workforce Research.

Introduction

The growing complexity of healthcare environments requires evidence-based approaches to improve workforce resilience, patient care quality, and nursing education. Li-Chung Pien’s research addresses these challenges through investigations into occupational psychosocial risks, workplace culture, mental health nursing, and technology-enhanced education. His work contributes to understanding the relationship between workplace conditions and nursing outcomes while supporting innovation in nursing training and professional development.[3]

Research Profile

Dr. Pien obtained a Bachelor of Science in Nursing from Taipei Medical University in 2001, a Master of Science in Psychiatric Nursing in 2009, and a Ph.D. in Health Policy and Management from National Taiwan University in 2016. His academic career includes appointments at Taipei Medical University and National Cheng Kung University, where he currently serves as Associate Professor in the Department of Nursing.[2]

  • Principal investigator of multiple national grant-funded projects.
  • Editorial Board Member of Journal of Nursing Management and BMC Nursing.
  • Reviewer for leading international nursing journals.
  • Research collaborator across Taiwan and international healthcare institutions.

Research Contributions

His research contributions focus on psychosocial occupational hazards among healthcare workers, including workplace violence, incivility, burnout, emotional exhaustion, and job satisfaction. He has investigated the impact of organizational environments on nursing retention and workforce sustainability. In parallel, he has pioneered educational initiatives utilizing generative artificial intelligence, chatbot-assisted learning, simulation-based instruction, and flipped classroom methodologies for psychiatric nursing education.[4]

  • AI-PsychLine project integrating generative AI and LINE Bot technology.
  • Research on workplace violence and occupational mental health.
  • Development and validation of nursing assessment scales.
  • Application of multilevel statistical analysis in healthcare research.
  • Evidence-based interventions for nurse resilience and psychological capital.

Publications

Dr. Pien has authored more than 35 peer-reviewed publications in SCI, SSCI, and Scopus-indexed journals. His work has appeared in internationally recognized journals including the Journal of Advanced Nursing, International Journal of Nursing Studies, Journal of Occupational and Environmental Medicine, International Journal of Mental Health Nursing, BMC Nursing, and Journal of Nursing Management.[5]

  • Journal of Advanced Nursing
  • International Journal of Nursing Studies
  • Journal of Occupational and Environmental Medicine
  • BMC Nursing
  • International Journal of Mental Health Nursing
  • Journal of Psychiatric and Mental Health Nursing

A notable recent publication examined workplace incivility and its association with nurses’ job satisfaction and turnover intentions in Taiwan.[6]

Research Impact

The impact of Dr. Pien’s work extends across nursing practice, workforce management, mental health promotion, and educational innovation. His findings have informed discussions regarding nurse retention, workplace safety, and psychosocial risk management. His research has also supported the adoption of digital technologies and AI-enabled learning tools within nursing education programs. These contributions are relevant to healthcare institutions seeking sustainable workforce development and improved clinical education outcomes.[3]

Award Suitability

Li-Chung Pien demonstrates qualifications aligned with the Excellence in Research Award category through sustained scholarly productivity, leadership of externally funded research projects, editorial service, interdisciplinary collaboration, and contributions to healthcare innovation. His integration of artificial intelligence into nursing education and his extensive research on occupational health challenges within healthcare settings represent notable examples of contemporary research addressing practical societal needs.[4]

Conclusion

Dr. Li-Chung Pien has developed a distinguished academic profile characterized by contributions to psychiatric nursing, occupational health research, workforce well-being, and nursing education innovation. Through extensive publication activity, collaborative research networks, and leadership in emerging educational technologies, he continues to contribute to advancing healthcare research and professional nursing practice in Taiwan and internationally.[1]

References

  1. National Cheng Kung University. (2026). Faculty Profile: Li-Chung Pien.
    https://www.ncku.edu.tw
  2. Li-Chung Pien. Academic and professional background information submitted for the International Research Awards on Sensing Technology nomination dossier.
  3. Research project summaries and occupational health nursing studies conducted through National Cheng Kung University and collaborating institutions.
  4. Ministry-funded educational innovation projects integrating generative AI, LINE Bot systems, simulation-based learning, and flipped classroom methodologies.
  5. Elsevier. (n.d.). Scopus author details: Li-Chung Pien, Author ID 54388391800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=54388391800
  6. Bai, Tseng, Cheng & Pien. (2026). Workplace Incivility and Nurses’ Job Satisfaction and Leaving Intentions in Taiwan. Journal of Advanced Nursing.
    https://doi.org/10.1111/jan.70641

Dr. Suman Singh | Biosensors Awards | Distinguished Scientist Award

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Dr. Suman Singh | Biosensors Awards | Distinguished Scientist Award 

Dr. Suman Singh | Biosensors Awards | CSIR-Central Scientific Instruments Organisation | India

Dr. Suman Singh is a Senior Principal Scientist at the Applied Materials & Instrumentation Division, CSIR-Central Scientific Instruments Organisation (CSIR-CSIO), Chandigarh, and serves as Coordinator and Professor at the Academy of Scientific & Innovative Research (AcSIR), Ghaziabad. He earned his Ph.D. from Panjab University, Chandigarh, specializing in nanotechnology and biosensors, and holds an M.Sc. in Inorganic Chemistry and a B.Sc. in Chemistry from Banasthali Vidyapith, Rajasthan. Dr. Suman Singh has a distinguished professional trajectory at CSIR-CSIO, progressing from Junior Scientist to Scientist, Senior Scientist, Principal Scientist, and now Senior Principal Scientist, with extensive experience in research, development, and technology transfer. His research focuses on advanced materials, additive manufacturing, and sensor platforms to address global challenges in sustainable energy, clean water, food safety, and affordable healthcare. He develops portable bio- and chemical sensors for on-site detection of contaminants, photo- and photoelectrocatalytic systems for pollutant degradation, and engineered treatment cartridges for wastewater recycling. In diagnostics, he advances point-of-care and early disease detection through optical and electrochemical transducers, including screen-printed electrodes, thin films, paper microfluidics, and lateral flow devices for cardiac, cancer, glucose, and infectious disease biomarkers. His work in additive manufacturing targets 3D printed electrodes for sustainable energy applications, microbial fuel cells, supercapacitors, and electrochemical synthesis, emphasizing scalability, affordability, and environmental impact. Dr. Suman Singh specializes in functional nanomaterials, metal nanoparticles, semiconductors, quantum dots, 2D materials, carbon-based systems, conducting polymers, ceramic nanocomposites, and molecularly imprinted polymers. He has authored over 100 publications, holds multiple patents, copyrights, and design registrations, and has developed technologies successfully transferred to industry.

Professional Profiles: ORCID | Scopus | Google Scholar  

Selected Publications

  1. S. Singh. (2007). Sensors—An effective approach for the detection of explosives. Journal of Hazardous Materials, 144(1-2), 15–28. Citations: 627

  2. S. Singh, P.R. Solanki, M.K. Pandey, & B.D. Malhotra. (2006). Cholesterol biosensor based on cholesterol esterase, cholesterol oxidase and peroxidase immobilized onto conducting polyaniline films. Sensors and Actuators B: Chemical, 115(1), 534–541. Citations: 257

  3. S. Singh, N. Kumar, M. Kumar, A. Agarwal, & B. Mizaikoff. (2017). Electrochemical sensing and remediation of 4-nitrophenol using bio-synthesized copper oxide nanoparticles. Chemical Engineering Journal, 313, 283–292. Citations: 196

  4. S. Singh, A. Chaubey, & B.D. Malhotra. (2004). Amperometric cholesterol biosensor based on immobilized cholesterol esterase and cholesterol oxidase on conducting polypyrrole films. Analytica Chimica Acta, 502(2), 229–234. Citations: 190

  5. S.K. Tuteja, R. Chen, M. Kukkar, C.K. Song, R. Mutreja, S. Singh, & A.K. Paul. (2016). A label-free electrochemical immunosensor for the detection of cardiac marker using graphene quantum dots (GQDs). Biosensors and Bioelectronics, 86, 548–556. Citations: 176

  6. S. Singh, P.R. Solanki, M.K. Pandey, & B.D. Malhotra. (2006). Covalent immobilization of cholesterol esterase and cholesterol oxidase on polyaniline films for application to cholesterol biosensor. Analytica Chimica Acta, 568(1-2), 126–132. Citations: 154

  7. R. Rani, A. Deep, B. Mizaikoff, & S. Singh. (2019). Enhanced hydrothermal stability of Cu MOF by post synthetic modification with amino acids. Vacuum, 164, 449–457. Citations: 126

Dr. Zheng Hu | Biosensor Awards | Best Researcher Award

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Dr. Zheng Hu | Biosensor Awards | Best Researcher Award

Dr. Zheng Hu, University of Chinese Academy of Sciences , Beijing, China

Dr. Zheng Hu is an Associate Professor and Deputy Director at the Translational Medicine Institute of South China University, based at The First People’s Hospital of Chenzhou, Hunan, China. With a Ph.D. in Biochemistry and Molecular Biology from the University of Chinese Academy of Sciences, his research focuses on gene editing technology, cancer biomarkers, and screening of anti-tumor compounds from traditional Chinese herbs. He has made significant contributions to cancer screening and nucleic acid detection, with several publications in high-impact journals. Dr. Hu is also recognized for his work on CRISPR-based detection systems and molecular pathogenesis in various cancers.

Professional Profile:

Orcid

Summary of Suitability:

Dr. Zheng Hu is an outstanding candidate for the Best Researcher Award due to his prolific research contributions, particularly in gene editing and cancer biomarker development. His innovative approach to applying cutting-edge technologies like CRISPR in clinical settings, along with his strong publication record and leadership, makes him highly deserving of recognition. His research has the potential to revolutionize cancer diagnostics and treatments, underscoring his impact in the biomedical field.

🎓Education:

Dr. Zheng Hu earned his Ph.D. in Biochemistry and Molecular Biology from the University of Chinese Academy of Sciences in Beijing, China, between 2011 and 2014. Prior to that, he completed his M.S. in Genetics from Xiangya Medical School of Central South University in Changsha, China, from 2001 to 2005. He also holds a B.S. in Biology, which he obtained from the School of Life Science at Central China Normal University in Wuhan, China, during 1994 to 1998.

🏢Work Experience:

Dr. Zheng Hu has held the position of Associate Professor at the Translational Medicine Institute of South China University, located at The First People’s Hospital of Chenzhou, Hunan, China, since 2018. Prior to this role, he worked as a Postdoctoral Research Fellow at Xiangya Hospital, Central South University, in Changsha, from 2015 to 2018. Between 2014 and 2015, Dr. Hu served as an Assistant Investigator at the same institute where he is now a professor. He also worked as an Assistant Investigator at the Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, from 2010 to 2011, and as a Research Associate at the same institute from 2005 to 2010. Earlier in his career, between 1998 and 2001, he was a Technician and Teaching Assistant at Xiangya Medical School of Central South University in Changsha.

🏅Awards and Honors:

Dr. Zheng Hu is recognized for his significant contributions to the development of CRISPR-based detection systems and cancer biomarker research. He has published extensively in high-impact journals, earning recognition for his advancements in cancer screening and gene editing technology. His work has greatly influenced the fields of translational medicine and molecular biology, showcasing innovative approaches to cancer detection and treatment.

Publication Top Notes:

  1. Targeted disruption of the BCR-ABL fusion gene by Cas9/dual-sgRNA inhibits proliferation and induces apoptosis in chronic myeloid leukemia cells
  2. Rapid, portable Epstein‒Barr virus DNA detection using enzymatic recombinase amplification combined with the CRISPR–Cas12a system
  3. CRISPR/Cas13a-based supersensitive circulating tumor DNA assay for detecting EGFR mutations in plasma
  4. SARS-CoV-2 and Its Omicron Variants Detection with RT-RPA-CRISPR/Cas13a-Based Method at Room Temperature
  5. Stabilization of UCA1 by N6-methyladenosine RNA methylation modification promotes colorectal cancer progression