Li-Chung Pien | Biological Sensors | Best Researcher Award

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. Gururaj Kudur Jayaprakash | Electroanalysis | Best Researcher Award

Dr. Gururaj Kudur Jayaprakash | Electroanalysis | Best Researcher Award 

Dr. Gururaj Kudur Jayaprakash, Nitte Meenakshi Institute of Technology, India

Dr. Gururaj Kudur Jayaprakash is an accomplished electrochemist and materials scientist, currently serving as an Assistant Professor in the Department of Chemistry at Nitte Meenakshi Institute of Technology (NMIT), affiliated with Visvesvaraya Technological University, India. He holds a Ph.D. in Materials Science from the University of Guadalajara, Mexico, where his doctoral research focused on improving charge transfer kinetics through carbon electrode modifications for advanced voltammetric applications. With a strong foundation in industrial chemistry and biotechnology, Dr. Gururaj has held prestigious academic and research positions at Tsinghua University in China, Shoolini University, and multiple research institutions in India and Mexico. His work spans across electrocatalysis, quantum electrochemistry, and environmental sensing, supported by major grants from the Department of Science and Technology and the Ministry of Electronics & IT, Government of India. Recognized globally, he is among the top 2% cited researchers (Stanford University, Elsevier, 2023) and a recipient of the DRDO Dare to Dream Award. Dr. Gururaj actively contributes to the scientific community through peer-review roles for numerous high-impact journals and has mentored several postgraduate and undergraduate students. His interdisciplinary expertise bridges theoretical modeling, quantum chemistry, and practical electroanalytical techniques, making significant strides in sensor development and pollutant detection.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

Dr. Gururaj Kudur Jayaprakash stands out as an exceptional candidate for the Best Researcher Award. With a rich academic background, significant research contributions, and a consistent record of excellence in electrochemistry, material science, and quantum chemistry, Dr. Jayaprakash has made groundbreaking strides in his field. His research in modifying carbon electrodes and understanding electrocatalysis, along with his innovative work in the realm of quantum chemistry and electrode materials, underscores his potential to drive forward new technological advancements.

Education 🎓

  • Ph.D. in Material Science (2013–2017)
    Department of Material Science, University of Guadalajara, Guadalajara, Mexico
    Grade: 92.67 (Mexican grade)
    Thesis: Modifying carbon electrodes to improve charge transfer kinetics applications in voltammetry and its modeling
    Supervisor: Professor Roberto Flores Moreno

  • M.Sc. in Industrial Chemistry (2009–2011)
    Department of Industrial Chemistry, Kuvempu University, Shankaraghatta, India
    GPA: 7.67 (Indian grade), First Class with Distinction (O grade)
    Thesis: Detection of norepinephrine in presence of ascorbic acid and uric acid using TX-100 surface immobilized carbon paste electrode: A cyclic voltammetric study
    Supervisor: Associate Professor B. E. Kumara Swamy

  • B.Sc. (Biotechnology + Zoology + Chemistry) (2006–2009)
    Tumkur University, Tumkur, India
    GPA: 8.46 (Indian grade), First Class with Distinction (O grade)

Work Experience 💼

  • Assistant Professor (2022/04 – present)
    Department of Chemistry, NMIT, Visvesvaraya Technological University, India

  • Assistant Professor (2019/12 – 2022/03)
    School of Chemistry, Shoolini University, Bajhol, India

  • Postdoctoral Researcher (2017/09 – 2019/09)
    Department of Chemistry, Tsinghua University, Beijing, China

  • Research Assistant (2016/09 – 2017/02)
    Theoretical Chemistry Laboratory, Department of Chemistry, University of Guadalajara, Guadalajara, Mexico

  • Asistente de Profesor (2015/01 – 2016/01)
    Laboratory Chemistry for Engineers, University of Guadalajara, Guadalajara, Mexico

  • Research Assistant (2013/05 – 2013/08)
    Theoretical Chemistry Laboratory, Department of Chemistry, University of Guadalajara, Guadalajara, Mexico

  • Project Graduate Trainee (2012/02 – 2013/02)
    Council for Scientific and Industrial Research, National Aerospace Laboratories, Bengaluru, India

  • Research Assistant (2011/06 – 2012/02)
    Kuvempu University, Shankaraghatta, Karnataka, India

Awards & Honors 🏆

  • Top 2% Cited Researcher (October 2023)
    Listed from Stanford University, Elsevier

  • D.R.D.O Dare to Dream 3.0 Award (October 2022)
    Defence Ministry, Defence Research and Development Organisation, Govt. of India

  • Teachers Associateship for Research Excellence (December 2021)
    Department of Science and Technology-SERB, Govt. of India

  • CONACyT Scholarship (August 2013 – August 2016)
    Government of Mexico for Doctoral Studies in Material Science

  • Postdoctoral Scholarship (2017 – present)
    Tsinghua University, Beijing, P.R. China

  • Gold Medal (December 2017)
    Vasavi Union, Karnataka, India for Doctoral Degree Appreciation

Publication Top Notes:

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