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

Prof. Kheibar Dashtian | Sensing | Best Researcher Award

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Prof. Kheibar Dashtian | Sensing | Best Researcher Award 

Prof. Kheibar Dashtian, Materials and Energy Research Center, Iran

Dr. Kheibar Dashtian, Ph.D. in Analytical Chemistry from Iran University of Science and Technology, is a renowned expert in photo/spectro-electrochemistry, stimuli-responsive nanomaterials, and related fields. With over 150 ISI-indexed publications and an impressive h-index of 53, Dr. Dashtian is highly regarded in the scientific community, having delivered 15 invited seminars and contributed 15 book chapters to scientific literature. He has been recognized with several prestigious awards, including the 24th Kharazmi Youth Festival Award and a ranking among the top 57 leading scientists in Iran in 2023. His contributions to research have earned him recognition as a Highly Cited ISC Scientist and ISI Scientist. Dr. Dashtian is a visiting lecturer at Iran University of Science and Technology and Yasouj University, and he has supervised 45 MSc graduates and 10 PhD graduates. With a keen focus on material development and device fabrication, he has developed systems such as gas sensing devices, microfluidic platforms, and photoelectrochemical systems. Additionally, he holds two patents pending and has made significant contributions to intellectual property. Dr. Dashtian is also actively involved in numerous research collaborations and has completed five postdoctoral research fellowships. He serves on the editorial boards of four ISI-indexed scientific journals and has reviewed over 300 scientific papers.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

🏆 Summary of Suitability for Best Researcher Award

Dr. Kheibar Dashtian demonstrates extraordinary merit as a researcher in analytical chemistry, with a strong record of scientific innovation, publication, and academic leadership. His accomplishments reflect a rare blend of depth, impact, and consistency across various dimensions of modern research. The following highlights support his high suitability for the Research for Best Researcher Award.

Education 🎓:

  • Ph.D. in Analytical Chemistry
    Yasouj University, Iran (Sep 2014 – Jun 2019)
    Research in nanomaterial preparation and applications in sensing and wastewater treatment.
    Thesis: “Design and preparation of photoelectrochemical biosensors based on the junction of optically active nanostructured semiconductors and polymers for the determination of biological compounds and Cr(VI) ion.”

  • M.Sc. in Analytical Chemistry
    Iran University of Science and Technology, Tehran, Iran (Sep 2012 – Sep 2014)
    Research on the synthesis, surface modification, and applications of mesoporous SBA-15 for optical sensors.
    Thesis: “Design of optical sensors for determination and removal of heavy metals (Ce, La, Pb, Pr) from aqueous media.”

  • B.Sc. in Applied Chemistry
    Iran Payam Noor University, Gachsaran Branch, Iran (Sep 2008 – Feb 2011)
    Research on Chemistry and Oil Technology.

Work Experience 💼:

  • Visiting Lecturer
    Iran University of Science and Technology & Yasouj University
    Delivering lectures in the field of analytical chemistry and nanomaterials.

Achievements 🏆:

  • Publications: Over 150 ISI-indexed articles with an h-index of 53, i10-index of 117, and citations exceeding 7,700.

  • Presentations: Delivered 15 invited seminars at national and international conferences.

  • Book Chapters: Contributed 15 invited chapters to scientific books.

  • Peer Review: Reviewed over 300 scientific papers for more than 100 ISI-indexed journals.

  • Supervision: Advisor to 45 MSc graduates and 10 PhD graduates.

  • Research Collaboration: Involved in 5 major research projects.

Awards & Honors 🏅:

  • 24th Kharazmi Youth Festival Award 🏆

  • Ranked among the top 57 leading scientists in Iran (2023) 🇮🇷

  • Highly Cited ISC Scientist (Top 1%, ESI-recognized, 2019–2023) 🌟

  • Highly Cited ISI Scientist (Top 2%, ESI-recognized, 2019–2023) 🌟

  • Researcher of the Year award recipient in Yasouj, Iran 🥇

Intellectual Property 💡:

  • 2 patents pending related to gas sensing devices, electrospray pyrolysis systems, and microfluidic platforms.

Editorial Roles 📚:

  • Editorial board member of 4 ISI-indexed scientific journals.

  • Referee for scientific papers across various journals.

Publication Top Notes:

Carbon dot-ZIF-67-infused tragacanth hydrogel films: leveraging tunable luminescence through displacement mechanisms for anthrax detection

Recent advancements in biosensors for diagnosis of ovarian cancer: Analytical approaches

Biological Ce/Fe-metal organic framework multifunctional nanozyme-based colorimetric sensor array for multi-analyte detection in human sweat

Transformative personalized oxalate biomarker analysis through a wrist-worn microneedle device integrated with duplex nanozyme toolbox

Molecularly imprinted polymer based on MIL-101 (Cr) MOF incorporated polyvinylidene for selective adsorption and separation dye with improved antifouling properties

Dispersive micro-solid phase extraction coupled with spectrophotometric using (MgFe CLDH)/GO magnetically separable sorbent for pre-concentration of anionic food dyes in water samples

CoMoO4 nano-architecture-based supercapacitors: Tunable properties, performance optimization, and prospective applications

Assist. Prof. Dr. Patima Nizamidin | Waveguide Sensor Awards | Best Researcher Award

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Assist. Prof. Dr. Patima Nizamidin | Waveguide Sensor Awards | Best Researcher Award

Assist. Prof. Dr. Patima Nizamidin, Xinjiang University, China

Patima Nizamidin is a researcher in analytical chemistry specializing in optical waveguide gas sensors, metal-organic framework (MOF) thin films, and the adsorption and transformation of environmental pollutants. She earned her Ph.D. from Xinjiang University, where she has been working in the College of Chemistry since September 2013. Her research focuses on developing advanced gas sensing materials and investigating adsorption kinetics. She has led multiple research projects funded by the National Natural Science Foundation of China and the Xinjiang Uygur Autonomous Region. Patima has published extensively in high-impact journals, contributing significant advancements in optical gas sensing technologies.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Patima Nizamidin

Patima Nizamidin is a highly qualified candidate for the Best Researcher Award based on her strong academic background, extensive research contributions, and impact in analytical chemistry and optical gas sensing.

🎓 Education & Work Experience

  • Ph.D. in Analytical Chemistry from Xinjiang University, China.
  • 👩‍🏫 Work Experience:
    • 2013.09 – Present: Working in the College of Chemistry, Xinjiang University, China.

🏆 Achievements & Research Contributions

  • 🔬 Research Interests:

    • Optical waveguide gas sensors.
    • Metal-organic framework (MOF) thin films and gas adsorption mechanisms/kinetics.
    • Adsorption and transformation of environmental pollutants.

  • 📑 Scientific Research Projects:

    • National Natural Science Foundation of China (NSFC) Grants:
      • (Grant No. 22464018) (2025/01-2028/12).
      • (Grant No. 22164019) (2022/01-2025/12).
    • 🏅 Natural Science Foundation of Xinjiang Uygur Autonomous Region (2021/06-2024/06).
    • 🎓 Youth Foundation of the Education Department of Xinjiang Uygur Autonomous Region (2019/09-2021/07).

  • 📚 Notable Publications:

    • Published multiple high-impact journal papers in Sensors & Actuators B: Chemical, Advanced Optical Materials, Optical & Laser Technology, Journal of Chemical Physics, and more.
    • Research focuses on MOF-based optical gas sensors, optical waveguides, and gas adsorption studies.

🏅 Awards & Honors

  • 🔬 Recognized for outstanding research contributions in the field of analytical chemistry and gas sensing technology.
  • 🏆 Recipient of prestigious NSFC grants for cutting-edge research in optical gas sensing.
  • 🎖 Multiple high-impact publications, contributing significantly to the advancement of MOF-based sensors.

Publication Top Notes:

A Nanoporous Covalent Organic Framework Film-Based Optical Waveguide Sensor for H2S Gas Detection

Rapid development of Nb-BIPA-TC-MOF film based optical wave- guides for the ‘turn-on-off’ detection of acidic-basic gases

Fast fabrication, gas sense characteristics and kinetics of cubic Ti-BIPA-TC-MOF film composite optical waveguides

Gas sensing properties of a maghemite-coupled porphyrin thin film–based optical waveguide sensor