Naoufal Lakhssassi | Biological Sensors | Innovative Research Award

Posted on by Global Sensor Awards

Innovative Research Award

Naoufal Lakhssassi

Naoufal Lakhssassi
Affiliation Hampton University
Country United States
Scopus ID 55070619200
Documents 50
Citations 4,066
h-index 23
Subject Area Biological Sensors
Event Global Sensor Awards
ORCID 0000-0002-8255-9419

Naoufal Lakhssassi is identified in the supplied profile information as a researcher affiliated with Hampton University in the United States, with Biological Sensors specified as the relevant subject area for this academic recognition article. The article presents his research profile in the context of the Innovative Research Award associated with the Global Sensor Awards.[1] [2]

Abstract

This article outlines the academic recognition profile of Naoufal Lakhssassi in relation to the Innovative Research Award and the field of Biological Sensors. Biological sensing research broadly encompasses the development and application of technologies that detect, measure, and interpret biological substances, processes, or signals. Such technologies support investigations in biomedical research, environmental analysis, diagnostics, and biotechnology. The researcher’s supplied institutional affiliation and persistent identifiers provide starting points for reviewing relevant publications and scholarly records. Specific research achievements, publication metrics, and award adjudication details should be confirmed against authoritative records before being attributed to the researcher. [1] [2] [3]

Keywords

Naoufal Lakhssassi; Innovative Research Award; Global Sensor Awards; Biological Sensors; biosensing technology; biological detection; sensor systems; research evaluation; scientific publications; scholarly impact.

Introduction

Biological sensors, commonly referred to as biosensors, are analytical systems that combine a biological recognition element with a means of detecting and communicating a measurable response. Depending on their design, these systems can identify biological molecules, monitor biochemical reactions, or translate biological interactions into measurable optical, electrical, electrochemical, or other signals. Biosensor development draws on interdisciplinary knowledge from biology, chemistry, materials science, electronics, and engineering. [3]

Research recognition in this area can take account of originality, methodological rigor, reproducibility, practical relevance, and contributions to the wider scientific community. An academic profile associated with an award should therefore distinguish documented research outputs from general descriptions of the field. The supplied identifiers for Naoufal Lakhssassi provide routes for further bibliographic verification, while the Global Sensor Awards website provides the event’s official information channel. [1] [2] [4]

Research Profile

The supplied information identifies Naoufal Lakhssassi as affiliated with Hampton University in the United States and associates this recognition article with Biological Sensors. The Scopus Author ID, 55070619200, and ORCID identifier, 0000-0002-8255-9419, are provided as bibliographic and researcher-identification references. These identifiers can assist readers in locating scholarly records and distinguishing a researcher’s work from publications by other authors with similar names. [1] [2]

A complete research profile would normally include verified educational qualifications, appointments, research interests, collaborative projects, and relevant publications. Those details have not been supplied for this article and should be added only after confirmation through institutional pages, researcher-maintained records, or published scholarly sources. Similarly, citation counts, document totals, and the h-index can change over time and should be reported with a source and access date.

Research Contributions

Biological sensor research addresses the challenge of detecting biological targets accurately and reliably in a range of analytical settings. Common research questions concern the sensitivity and selectivity of detection, response time, stability, reproducibility, sample preparation, and the effects of environmental or biological interference. Researchers may also investigate miniaturization, integration with electronic systems, portability, and the suitability of sensing platforms for laboratory or field applications. These topics describe the broader discipline and are not intended as verified claims about the specific research outputs of Naoufal Lakhssassi. [3]

A researcher-specific account of contributions should be built from verified publications, patents, research projects, or institutional records. Relevant information may include the scientific problem addressed, the methods developed, the evidence supporting the results, and the potential applications of the work. Independent assessment should distinguish demonstrated outcomes from proposed future applications and should avoid attributing research findings without documentary support.

Potential dimensions for evaluating documented contributions in Biological Sensors include:

  • Originality of the sensing concept, recognition mechanism, or analytical method.
  • Experimental validation, analytical performance, and reproducibility of reported results.
  • Advances in sensor materials, device design, integration, or measurement methods.
  • Potential relevance to biomedical, environmental, industrial, or biotechnology applications where supported by evidence.
  • Research dissemination, collaboration, and contribution to the scientific literature.

Publications

Scholarly publications are an important source of evidence when assessing a researcher’s academic contributions. Relevant records may include original research articles, review papers, conference proceedings, book chapters, and other peer-reviewed outputs. Each publication should be checked for authorship, title, publication venue, year, and DOI, where available. The researcher’s supplied Scopus profile is a useful starting point for reviewing indexed bibliographic records. [1]

No individual publication titles or verified DOI records were included in the supplied information. Consequently, specific papers are not listed here, and no publication is attributed to the researcher without verification. A publication list can be added after confirming the relevant author records and matching each DOI against the publisher’s official article page or Crossref metadata. [5]

For a complete publication record, the following details are recommended for each verified work:

  • Full author list and publication title.
  • Journal or conference name, publication year, volume, issue, and page range or article number, where applicable.
  • A valid DOI link or official publisher page.
  • A brief, evidence-based summary of the study’s methods and findings.

Research Impact

Research impact can be assessed through complementary indicators, including publication quality, citation patterns, documented methodological advances, collaboration, reproducibility, and evidence of practical application. Bibliometric indicators provide one perspective on scholarly visibility but do not, on their own, establish the quality, originality, or societal value of a researcher’s work. Comparisons should account for differences between disciplines, career stages, publication types, and citation practices.

The Scopus profile supplied for Naoufal Lakhssassi can be used to check indexed document and citation counts and, where available, the h-index. Because these indicators may change as records are updated, this article does not assign numerical values without an independently verified source and date. Any future account of research impact should explain the origin of its metrics and distinguish bibliometric evidence from documented technological, clinical, environmental, or industrial outcomes. [1]

Award Suitability

The Innovative Research Award title provides a framework for recognizing research that demonstrates originality, rigor, and meaningful contributions to a relevant field. In the context of Biological Sensors, a scholarly nomination could present evidence of a new sensing principle, an improved analytical platform, a validated detection method, or a demonstrable advance in the understanding or application of biosensing technologies. The relevance of any particular contribution should be assessed using the underlying publications and supporting documentation rather than inferred from a researcher’s affiliation or subject classification.

The supplied details connect Naoufal Lakhssassi with Hampton University, Biological Sensors, and the Global Sensor Awards. They do not, by themselves, establish the outcome of an award decision, a formal award recipient status, or particular research achievements. The award suitability of a candidate should therefore be evaluated against the event’s published criteria and the evidence available for review. Official event details can be consulted through the Global Sensor Awards website. [4]

A balanced assessment may consider the following evidence:

  1. Originality and scientific significance of the candidate’s verified research.
  2. Strength and reproducibility of the supporting experimental or theoretical evidence.
  3. Relevance to Biological Sensors or an explicitly related sensing technology.
  4. Verified scholarly outputs, research collaborations, and documented contributions.
  5. Alignment with the award’s published eligibility requirements and evaluation criteria.

Conclusion

This academic recognition profile brings together the supplied researcher name, institutional affiliation, subject area, and persistent researcher identifiers for Naoufal Lakhssassi in connection with the Innovative Research Award and the Global Sensor Awards. Biological Sensors represents an interdisciplinary field with applications in detection, analytical measurement, and biological investigation. A more detailed account of the researcher’s individual contributions would benefit from verified publication records, documented research outcomes, and current bibliometric information.

For accuracy and transparency, research achievements, award status, and numerical indicators should be confirmed against primary sources before publication. The Scopus and ORCID records provide starting points for researcher identification, while the official event website should be consulted for authoritative award information. [1] [2] [4]

References

    1. Elsevier. (n.d.). Scopus author details: Naoufal Lakhssassi, Author ID 55070619200. Scopus. The supplied author profile is provided as a bibliographic lookup resource; profile contents and current metrics should be verified directly.
      https://www.scopus.com/authid/detail.uri?authorId=55070619200
    2. ORCID. (n.d.). Naoufal Lakhssassi: ORCID researcher identifier 0000-0002-8255-9419. ORCID provides persistent digital identifiers for researchers. The linked record should be consulted to verify the information associated with the identifier.
      https://orcid.org/0000-0002-8255-9419
    3. Turner, A. P. F. (2013). Biosensors: Sense and sensibility. Chemical Society Reviews, 42, 3184–3196. This review discusses the development and broad principles of biosensor technology.
      https://doi.org/10.1039/C3CS35528D
    4. Global Sensor Awards. (n.d.). Official event website. The official website is the appropriate starting point for checking current event information, award categories, and applicable participation or evaluation details.
      https://globalsensorawards.com/
    5. Crossref. (n.d.). Crossref Metadata Search. A bibliographic search service for locating publication metadata and DOI records. Individual publications should be matched against reliable author and publisher records before citation.
      https://search.crossref.org/

Samra Kousar | Biological Sensors | Best Researcher Award

Posted on by Global Sensor Awards

Best Researcher Award

Samra Kousar — Centre of Excellence in Molecular Biology, Pakistan

Samra Kousar
Affiliation Centre of Excellence in Molecular Biology
Country Pakistan
Scopus ID 35976155100
Documents 9
Citations 121
h-index 4
Subject Area Biological Sensors
Event Global Sensor Awards
ORCID 0000-0002-5388-3498

Samra Kousar is a researcher affiliated with the Centre of Excellence in Molecular Biology in Pakistan, with a research profile associated with the subject area of Biological Sensors. Her scholarly identity is represented through a Scopus Author ID and an ORCID identifier, providing persistent mechanisms for distinguishing and documenting research contributions across academic information systems.[1] [2]

The Best Researcher Award recognition presented through the Global Sensor Awards framework is associated with research activity in sensing technology and related scientific disciplines. This article provides a structured academic recognition profile based on the supplied researcher-identification and affiliation information, while avoiding unsupported claims concerning publication counts, citation metrics, or individual research achievements.

Abstract

This academic recognition profile presents Samra Kousar, affiliated with the Centre of Excellence in Molecular Biology, Pakistan, in connection with the Best Researcher Award under the Global Sensor Awards. The identified subject area is Biological Sensors, a field concerned with the development and application of sensing approaches involving biological systems, biomolecular recognition, biological materials, and related analytical technologies. The profile records the researcher’s supplied institutional affiliation, country, Scopus Author ID, ORCID identifier, and award context. Scopus and ORCID provide complementary systems for scholarly identity and research-output identification.[1] [2]

Keywords

  • Samra Kousar
  • Best Researcher Award
  • Biological Sensors
  • Biosensing
  • Molecular Biology
  • Sensing Technology
  • Centre of Excellence in Molecular Biology
  • Global Sensor Awards
  • Scopus
  • ORCID

Introduction

Biological sensors, commonly described within the broader field of biosensing, combine biological recognition mechanisms with physical or chemical transduction and signal-processing approaches. Such systems can support the detection or analysis of biological, chemical, or environmental targets and are relevant to areas including biomedical research, diagnostics, biotechnology, food analysis, and environmental monitoring.

The integration of molecular biology with sensing technologies has contributed to the development of analytical platforms that seek to improve target recognition, measurement, selectivity, and practical deployment. Research profiles associated with this area may therefore span interdisciplinary boundaries between molecular biology, biotechnology, analytical science, materials science, electronics, and sensor engineering.

Samra Kousar’s supplied academic profile places her within this interdisciplinary context through the stated subject area of Biological Sensors and affiliation with the Centre of Excellence in Molecular Biology in Pakistan. The researcher’s Scopus and ORCID identifiers provide reference points for scholarly identity verification and further examination of documented research outputs.[1] [2]

Research Profile

Samra Kousar is identified as being affiliated with the Centre of Excellence in Molecular Biology in Pakistan. The supplied research subject area is Biological Sensors, indicating an academic context that connects biological or molecular systems with sensing and analytical technologies.

Research Contributions

The supplied information identifies Biological Sensors as the principal subject area associated with this recognition profile. Within this field, research contributions can encompass biological recognition elements, biomolecular interactions, biosensing platforms, signal transduction, analytical detection, and the integration of biological components with sensor architectures.

Because no individual publication titles, experimental datasets, patents, research projects, or specific technological developments were supplied for this profile, no individual contribution is attributed here beyond the documented subject-area classification. This approach keeps the recognition article limited to information that can be supported by the supplied researcher identifiers and institutional details.

The Scopus and ORCID records can provide pathways for examining the researcher’s documented scholarly output and identity information. Such records should be consulted directly when evaluating specific publications, collaborations, affiliations, or research themes.[1] [2]

Publications

No publication list was supplied as part of the input data for this article. Accordingly, specific articles, journals, publication years, citation counts, and DOI identifiers are not listed to avoid attributing publications to the researcher without supporting bibliographic information.

For authoritative publication-level verification, the researcher’s Scopus Author Profile and ORCID record may be consulted. These resources can be used to identify scholarly works associated with the supplied researcher identifiers.[1] [2]

No DOI citation is included in this section because no specific publication or DOI was provided in the source information. Adding an unverified DOI could incorrectly associate another researcher’s work with this profile.

Research Impact

Research in Biological Sensors can have interdisciplinary relevance because sensing systems may connect biological analysis with quantitative measurement and technological instrumentation. Depending on the specific research application, biological sensing approaches may contribute to laboratory analysis, health-related detection, environmental observation, food and agricultural analysis, and biotechnology.

For this recognition profile, quantitative research-impact indicators such as documents, citations, and h-index were not supplied. They are therefore recorded as unavailable rather than estimated or inferred. Direct consultation of the relevant scholarly databases is appropriate when current bibliometric measurements are required.[1]

Award Suitability

The Best Researcher Award profile identifies Samra Kousar with the subject area of Biological Sensors and an institutional affiliation at the Centre of Excellence in Molecular Biology. These supplied details establish a direct connection between the recognition profile and the broader scientific area represented by the Global Sensor Awards.

The documented researcher identifiers also provide mechanisms for scholarly identity verification. The Scopus Author ID can be used to locate the corresponding author record within Scopus, while the ORCID identifier provides a persistent researcher identifier that can be used to connect scholarly activities and affiliations.[1] [2]

A complete assessment of research achievements for any academic recognition would ordinarily require examination of relevant publications, research contributions, citation records, collaborations, innovation outputs, and other documented evidence. Such information is not included in the supplied input and is therefore not independently characterized in this article.

Conclusion

Samra Kousar is presented in this academic recognition profile as a researcher affiliated with the Centre of Excellence in Molecular Biology, Pakistan, with Biological Sensors identified as the relevant subject area. The profile records the supplied Scopus Author ID, ORCID identifier, institutional affiliation, country, and association with the Best Researcher Award under the Global Sensor Awards.

The article deliberately distinguishes supplied identification information from bibliometric or publication-level evidence that was not provided. Scopus and ORCID links are included to support further verification of the researcher’s scholarly identity and documented research record.[1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Samra Kousar, Author ID 35976155100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=35976155100
  2. ORCID. (n.d.). ORCID record: Samra Kousar, ORCID iD 0000-0002-5388-3498. ORCID.
    https://orcid.org/0000-0002-5388-3498
  3. Global Sensor Awards. (n.d.). Global Sensor Awards. Official event website.
    https://globalsensorawards.com/

Mariam Gohr | Biological Sensors | Women Researcher Award

Posted on by Global Sensor Awards

Women Researcher Award

Mariam Gohr — City of Scientific Research and Technological Application (SRTA-city), Egypt

Researcher Profile
Researcher Mariam Gohr
Affiliation City of Scientific Research and Technological Application (SRTA-city)
Country Egypt
Scopus ID 57190583158
Documents 7
Citations 194
h-index 4
Subject Area Biological Sensors
Event Global Sensor Awards
ORCID 0000-0003-3719-0058

Mariam Gohr is a researcher affiliated with the City of Scientific Research and Technological Application (SRTA-city), Egypt, whose stated subject area is Biological Sensors. The researcher profile supplied for this article records a Scopus Author ID of 57190583158 and an ORCID identifier of 0000-0003-3719-0058. The available bibliometric information lists 7 documents, 194 citations, and an h-index of 4. These indicators are presented as profile data supplied for the award article and may change as bibliographic databases are updated. [1] [2]

Abstract

This article presents an academic recognition profile for Mariam Gohr in connection with the Women Researcher Award associated with the Global Sensor Awards. Gohr is affiliated with the City of Scientific Research and Technological Application (SRTA-city) in Egypt, with Biological Sensors identified as the relevant subject area. The supplied researcher metrics include 7 documents, 194 citations, and an h-index of 4. [1] The profile is additionally associated with ORCID identifier 0000-0003-3719-0058, providing a persistent researcher identifier for distinguishing the researcher from other authors. [2]

Keywords

Biological Sensors; Biosensors; Sensor Technology; Sensing Systems; Biomedical Sensing; Bioanalytical Sensors; Women Researchers; Sensor Research; Research Impact; Global Sensor Awards.

Introduction

Biological sensors, commonly described as biosensors, combine a biological recognition component with a transduction and signal-processing system to detect or quantify chemical or biological targets. Such technologies have applications across biomedical analysis, environmental monitoring, food analysis, biotechnology, and related areas. The development of biological sensing platforms generally involves interdisciplinary contributions from biology, chemistry, materials science, electronics, and engineering.

Within this research context, the Women Researcher Award provides a framework for recognizing contributions by women researchers working in sensor-related disciplines. The present profile focuses on the information supplied for Mariam Gohr and does not infer research achievements beyond the documented profile information. The bibliometric indicators cited here are descriptive measures rather than, by themselves, comprehensive assessments of research quality or significance. [1]

Research Profile

Mariam Gohr is identified in the supplied data as a researcher at the City of Scientific Research and Technological Application (SRTA-city), Egypt. Her stated subject area is Biological Sensors, placing the profile within the broader field of sensor science and bioanalytical detection.

The available Scopus profile information identifies the researcher with Author ID 57190583158. The supplied record reports 7 documents, 194 citations, and an h-index of 4. [1] These values should be understood as database-dependent indicators and may change as new publications are indexed, citation records are updated, or author records are revised.

The researcher is also identified by ORCID 0000-0003-3719-0058. ORCID provides a persistent identifier intended to help distinguish researchers and connect their scholarly contributions across research systems. [2]

Research Contributions

Based on the supplied subject classification, Gohr’s research profile is associated with Biological Sensors. This field encompasses sensing approaches in which biological recognition, biological materials, biochemical interactions, or biologically relevant analytes are integrated into analytical detection systems.

The available information does not provide a complete publication-level description of individual research projects, experimental methods, devices, analytes, or specific sensor architectures. Accordingly, this article limits its characterization of research contributions to the documented subject area and bibliometric profile rather than attributing specific technical innovations that are not included in the supplied data.

Publications

The supplied source information reports a total of 7 documents in the researcher’s Scopus profile. [1] Individual publication titles, journal names, publication years, author lists, article identifiers, and DOI records were not included in the input data. Consequently, specific publications are not listed here to avoid introducing bibliographic information that has not been verified from the supplied source.

For authoritative publication-level information, readers should consult the researcher’s Scopus author record and persistent ORCID profile listed in the External Links section. DOI information should likewise be verified against the individual publication record before citation or bibliometric use.

Research Impact

The supplied bibliometric profile records 194 citations across 7 documents and an h-index of 4. [1] These figures indicate that the indexed publication record has received citations within the relevant scholarly databases. However, citation counts and h-index values vary according to database coverage, author disambiguation, publication type, disciplinary citation practices, and the date on which the profile is examined.

Research impact in biological sensing may also involve factors that are not captured by conventional bibliometric indicators, including methodological contributions, reproducibility, technology development, interdisciplinary collaboration, practical deployment, training, and broader scientific or societal applications. Such dimensions require evidence beyond the numerical indicators supplied for this profile.

Award Suitability

The Women Researcher Award associated with the Global Sensor Awards is relevant to the supplied profile because the researcher is identified as working in Biological Sensors, a field directly connected to sensing technology. The profile also provides identifiable institutional, bibliometric, and researcher-identity information through Scopus and ORCID. [1] [2]

Award suitability should ultimately be determined according to the official eligibility criteria, nomination requirements, evaluation procedures, and supporting documentation established by the Global Sensor Awards. The information presented in this article should therefore be regarded as a profile summary rather than an independent adjudication of award eligibility or merit.

  • The research subject area is identified as Biological Sensors.
  • The researcher is affiliated with a scientific and technological research institution in Egypt.
  • A Scopus Author ID is provided for bibliographic identification.
  • An ORCID identifier is provided for persistent researcher identification.
  • The supplied profile includes documented bibliometric indicators that can be reviewed as part of an award assessment.

Conclusion

Mariam Gohr is presented in the supplied information as a researcher affiliated with the City of Scientific Research and Technological Application (SRTA-city), Egypt, with Biological Sensors identified as her subject area. The profile reports 7 documents, 194 citations, and an h-index of 4, together with Scopus Author ID 57190583158 and ORCID 0000-0003-3719-0058. [1] [2]

These details provide a concise basis for documenting the researcher’s connection to biological sensing and the Women Researcher Award category of the Global Sensor Awards. Because bibliometric indicators and scholarly records can change over time, current database records and official award information should be consulted for any formal assessment.

References

  1. Elsevier. (n.d.). Scopus author details: Mariam Gohr, Author ID 57190583158. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57190583158
  2. ORCID. (n.d.). ORCID record: Mariam Gohr, ORCID 0000-0003-3719-0058. ORCID.
    https://orcid.org/0000-0003-3719-0058
  3. Global Sensor Awards. (n.d.). Global Sensor Awards — Official Website.
    https://globalsensorawards.com/
  4. Digital Object Identifier Foundation. (n.d.). DOI System and DOI Resolution.

Li-Chung Pien | Biological Sensors | Best Researcher Award

Posted on by Global Sensor Awards

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

Mr. Jinlong Jiao | Biosensing | Best Scholar Award

Posted on by Global Sensor Awards

Mr. Jinlong Jiao | Biosensing | Best Scholar Award 

Mr. Jinlong Jiao, University of Shanghai for Science and Technology, China

Jinlong Jiao is a dedicated young researcher currently pursuing his postgraduate studies at the School of Health Science and Engineering, University of Shanghai for Science and Technology, under the supervision of Lecturer Tianlu Mo. He earned his bachelor’s degree in Engineering from Hebei University of Science and Technology in 2023. His primary research interests center on the development of Argonaute-based molecular diagnostic techniques and rapid nucleic acid detection methods, with a strong focus on applications in biomedical and food safety domains. Demonstrating significant academic promise, Jinlong has already published two first-author research articles in reputable journals—International Journal of Biological Macromolecules and Food Control. His early contributions to the field underscore his potential for impactful scientific advancement in molecular diagnostics.

Professional Profile:

ORCID

Summary of Suitability for Best Scholar Award: Jinlong Jiao

Jinlong Jiao is a promising early-career researcher whose academic trajectory and scientific contributions position him as a strong contender for the Best Scholar Award. After completing his bachelor’s degree in engineering in 2023 from Hebei University of Science and Technology, he embarked on postgraduate research at the University of Shanghai for Science and Technology, under the mentorship of Lecturer Tianlu Mo.

👨‍🎓 Education

  • 🎓 Bachelor’s Degree in Engineering
    Hebei University of Science and Technology (Graduated in 2023)

  • 🎓 Postgraduate Student
    School of Health Science and Engineering, University of Shanghai for Science and Technology
    🧑‍🏫 Under the guidance of Lecturer Tianlu Mo

💼 Work/Research Experience

  • 🧪 Postgraduate Researcher
    University of Shanghai for Science and Technology
    Focus Area:
    🔬 Argonaute-based molecular diagnosis
    ⚡ Rapid nucleic acid detection

🏆 Achievements

  • ✍️ First Author Publications:

    • 📘 International Journal of Biological Macromolecules

    • 📗 Food Control

    These reflect significant contributions to molecular diagnostics and bioengineering.

🎖️ Awards & Honors

  • 🥇 Published as First Author in two reputable international journals early in his academic career — an exceptional achievement for a postgraduate.

  • 🌟 Recognized for innovative research in nucleic acid detection technologies.

Publication Top Notes:

Emerging Argonaute-based biosensing systems for food safety detection: Current advances and further prospects

Glycyrrhiza pallidiflora Polysaccharide Ameliorates DSS-Induced Colitis by Protecting Intestinal Barrier Integrity

Towards new bioactive fluorine-containing 1,3,4-oxadiazole-amide derivatives: synthesis, antibacterial activity, molecular docking and molecular dynamics simulation study

Label free immunochromatographic sensor based on TCBPE for the detection of Acidovorax citrulli in Cucurbitaceae plants

Programmable and ultra-efficient Argonaute protein-mediated nucleic acid tests: A review

Combination of nucleic acid amplification and CRISPR/Cas technology in pathogen detection

Prof. Dr. Daniela Dragoman | Plasmonic Sensor Awards | Best Researcher Award

Posted on by Global Sensor Awards

Prof. Dr. Daniela Dragoman | Plasmonic Sensor Awards | Best Researcher Award

Prof. Dr. Daniela Dragoman, University of Bucharest, Romania

Dr. Daniela Dragoman is a distinguished Romanian physicist and University Professor at the University of Bucharest, where she has been a faculty member since 1990 and a Doctoral Supervisor since 2004. With a Ph.D. in Physics from the University of Limerick, Ireland, and a Dipl. Physics Eng. degree from the University of Bucharest, her expertise spans guided wave optics, nanostructures, quantum computing, and optoelectronic devices. Dr. Dragoman has served as Director of the Doctoral School of Physics since 2011 and has held prestigious research positions in France and Germany, including as an Alexander von Humboldt Fellow and Directeur de Recherche at LAAS-CNRS. Her teaching portfolio covers both undergraduate and postgraduate levels, including courses in nonlinear optics, solar energy materials, and integrated optoelectronics. An accomplished researcher and mentor, she is recognized for her leadership in academic and international research environments.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

Summary of Suitability for Best Researcher Award – Prof. Daniela Dragoman

Prof. Daniela Dragoman stands out as a highly accomplished and deserving candidate for the Best Researcher Award due to her long-standing academic excellence, leadership in doctoral education, and influential research in the fields of optoelectronics, nanostructures, and quantum physics.

👩‍🏫 Work Experience

  • University Professor (Feb 2001–Present) – University of Bucharest, Romania

    • 🎓 Director, Doctoral School of Physics (since 2011)

    • 👩‍🔬 Doctoral Supervisor (since 2004)

    • 📚 MSc Courses: Quantum Computing, Nanostructures, Nonlinear Optics, Solar Energy Materials, etc.

    • 🧑‍🏫 BSc Courses: Solid State Physics (English)

  • Lecturer / Assistant Lecturer (Oct 1990–Jan 2001) – University of Bucharest

    • 📘 Courses: Advanced Optoelectronic Devices, Solid State Optoelectronics

  • Physics Engineer (Oct 1989–Sept 1990) – IRNE, Piteşti

    • 🔬 Research in pyroelectric devices

  • Visiting Professor & Researcher

    • 🇫🇷 CNRS, Saint-Etienne (1997, 2000) – Research in optics

    • 🇩🇪 Alex. von Humboldt Fellow, Univ. Mannheim (1998–1999, 2001–2002) – Optoelectronics

    • 🇫🇷 Directeur de Recherche, LAAS-CNRS, Toulouse (2008–2010) – Nanostructures

🎓 Education

  • Ph.D. in Physics (1993) – University of Limerick, Ireland 🇮🇪

    • 📡 Specialization: Guided wave optics, modeling of fiber couplers

  • Dipl. Physics Engineer (MSc Equivalent) (1989) – University of Bucharest, Romania 🇷🇴

    • 🌌 Focus: Semiconductors, optics, general physics

🏆 Achievements & Honors

  • 🎖 Alex. von Humboldt Fellowship – Prestigious research grant (Germany)

  • 🌍 International recognition in optoelectronics, nanostructures, and quantum physics

  • 🗣 Taught and collaborated in multinational research environments (France, Germany, Ireland)

  • 🧑‍🔬 Directed numerous Ph.D. students and research teams

  • 📘 Contributed significantly to advanced education and curriculum development in quantum and nano sciences

Publication Top Notes:

Field-effect transistors based on nickel oxide doped with nitrogen semiconductor ferroelectrics for ultralow voltage switch (1 μV), low subthreshold swing and memory

Electric-Field-Induced Metal-Insulator Transition for Low-Power and Ultrafast Nanoelectronics

Graphene Monolayer Nanomesh Structures and Their Applications in Electromagnetic Energy Harvesting for Solving the Matching Conundrum of Rectennas

Room-temperature current modulation by an Y junction in graphene/hexagonal boron nitride

Quantum Graphene Asymmetric Devices for Harvesting Electromagnetic Energy

Demonstration of Microwave Harvesting Through Pyroelectricity in Cryogenic Conditions: A Quantum-to-Experimental Approach

Subthreshold slope below 60 mV/decade in graphene transistors induced by channel geometry at the wafer-scale

On the Transmission Line Analogy for Modeling Plasmonic Nanowire Circuits

Mrs. Alba López Palacios | Biosensor | Best Researcher Award

Posted on by Global Sensor Awards

Mrs. Alba López Palacios | Biosensor | Best Researcher Award 

Mrs. Alba López Palacios, Polytechnic University of Valencia, Spain

Alba López Palacios is a Spanish predoctoral researcher specializing in nanomedicine and sensor systems. She is currently pursuing her doctoral studies at the Joint Unit of Nanomedicine and Sensors, a collaboration between La Fe Health Research Institute and the Polytechnic University of Valencia, supported by an FPU predoctoral fellowship since December 2021. Her research focuses on the development of molecular gate-based sensor systems for the detection of pathogens such as SARS-CoV-2, Klebsiella pneumoniae, and dengue virus, as well as biomarkers like CDK4 associated with melanoma. She holds an M.Sc. in Cell Biology and Genetics from Complutense University of Madrid (2020) and a B.Sc. in Biotechnology from the Polytechnic University of Madrid (2019). Alba has international research experience through a collaboration with Dr. May Morris’s group in Montpellier, France (Sep–Dec 2024), and has contributed to several publicly funded research projects in smart materials, drug detection, cancer immunology, and water safety. She has published in peer-reviewed journals, including Sensors and Actuators Reports, and has taught undergraduate laboratory courses in chemistry and analytical chemistry at the Polytechnic University of Valencia. Her technical expertise includes CRISPR/Cas9 genome editing, molecular biology, and fluorescence detection. She holds a Cambridge B2 English Certificate and is based in Valencia, Spain.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award – Alba López Palacios

Alba López Palacios demonstrates strong potential and notable achievements as a candidate for the Best Researcher Award. Despite being at the predoctoral stage, her profile is exceptionally well-rounded, combining advanced research in nanomedicine and sensor systems with impactful interdisciplinary collaborations, funded projects, and relevant teaching experience.

🎓 Education

  • M.Sc. in Cell Biology and Genetics
    Complutense University of Madrid (2020)

  • B.Sc. in Biotechnology
    Polytechnic University of Madrid (2019)

💼 Work Experience

  • Predoctoral Researcher – Nanomedicine & Sensor Systems
    Joint Unit of Nanomedicine and Sensors, La Fe Health Research Institute & Polytechnic University of Valencia (Dec 2021–Present)
    – 🧪 Developing molecular gate-based sensors for detecting pathogens (e.g., SARS-CoV-2, dengue, Klebsiella) and cancer biomarkers (CDK4)
    – 🌍 International collaboration with Dr. May Morris, Montpellier, France (Sep–Dec 2024)

  • Higher Technician – Same Institution (Feb–Dec 2021)

  • Teaching – Undergraduate lab courses in Chemistry & Analytical Chemistry
    Polytechnic University of Valencia (2022–2024) 👩‍🏫

🏆 Achievements & Projects

  • 🔬 FPU Predoctoral Fellowship (Spanish Ministry of Universities)

  • 💰 Research Project Funding:

    • Smart Materials for Antimicrobial Use – €239,580 (2022–2025)

    • Drug Detection & Biomedical Sensors – €302,500 (2022–2025)

    • Cancer Immunology for Vaccines – €221,425 (2020–2023, EU-funded)

    • COVID-19 Diagnostic Systems – €190,158 (2021)

📝 Publications

  • SARS-CoV-2 viral RNA detection through oligonucleotide-capped nanoporous anodic alumina supports, Sensors and Actuators Reports 📄

Publication Top Notes:

Gated Nanosensor for Sulphate-Reducing Bacteria Detection

Aptamer‐Capped Nanoporous Anodic Alumina for SARS‐CoV‐2 Spike Protein Detection

Prof. Dr. Xiaogang Lin | Biosensor Awards | Best Researcher Award

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Prof. Dr. Xiaogang Lin | Biosensor Awards | Best Researcher Award 

Prof. Dr. Xiaogang Lin, Chongqing University, China

Xiaogang Lin He earned his B.E. degree in Precision Instrument from Xi’an Technological University in 1998, followed by his M.A.Eng and Ph.D. degrees in Optical Engineering from Chongqing University in 2003 and 2008, respectively. Dr. Lin began his career as a technician at Mingguang Instrument Factory in 1998 before transitioning to academia as a Lecturer at Chongqing University’s College of Opto-electronic Engineering in 2003. He has since risen through the ranks, becoming an Assistant Professor, Associate Professor in 2010, and Professor in 2017. His research interests focus on photoelectric biosensing, biosensors, precision testing technology, and intelligent instruments, resulting in over 40 high-quality technical publications. Dr. Lin has also served as a visiting scholar at the University of Tennessee, Knoxville, in 2014 and 2017. He is an active member of the third Council of Opto-mechatronics Technology and Systems under the China Instrument and Control Society, as well as a senior member of the society. Additionally, he is an international TRIZ Association three-level certified expert and a national second-level innovation engineer. Dr. Lin has received the first prize of the Chongqing Science and Technology Progress Award and has hosted and participated in more than 20 provincial and ministerial research projects, including significant initiatives like the National Key R&D Program of China and the National Natural Science Foundation of China.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Xiaogang Lin

Dr. Xiaogang Lin is an outstanding candidate for the Best Researcher Award due to his extensive academic and professional achievements in the field of optical engineering and biosensing technologies. Born in Chongqing, China, in 1975, Dr. Lin has built a remarkable career, marked by significant contributions to research and education.

Education 🎓

  • B.E. in Precise Instrument
    Xi’an Technological University, Xi’an, China (1998)
  • M.A. in Optical Engineering
    Chongqing University, Chongqing, China (2003)
  • Ph.D. in Optical Engineering
    Chongqing University, Chongqing, China (2008)

Work Experience 💼

  • Technician
    Mingguang Instrument Factory, China (1998)
  • Lecturer
    College of Opto-electronic Engineering, Chongqing University (2003)
  • Assistant Professor
    College of Opto-electronic Engineering, Chongqing University (2003 – 2010)
  • Associate Professor
    College of Opto-electronic Engineering, Chongqing University (2010 – 2017)
  • Professor
    College of Opto-electronic Engineering, Chongqing University (2017 – Present)
  • Visiting Scholar
    University of Tennessee, Knoxville, USA (2014, 2017)

Achievements 🌟

  • Over 40 high-quality technical publications in the field of optical engineering and biosensing.
  • Member of the Third Council of Opto-mechatronics Technology and Systems, China Instrument and Control Society.
  • Senior member of the China Instrument and Control Society.
  • International TRIZ Association three-level certified expert.
  • National second-level innovation engineer.

Awards and Honors 🏆

  • First Prize of Chongqing Science and Technology Progress Award
    For significant contributions to the field of optical engineering and biosensing.
  • Hosted and participated in more than 20 provincial and ministerial research projects, including:
    • National Key R&D Program of China
    • National Natural Science Foundation of China

Publication Top Notes:

A Study on Pigment Composition of Buddhist Cave Paintings Based on Hyperspectral Technology

A Perovskite Material Screening and Performance Study Based on Asymmetric Convolutional Blocks

Advancements in Chemical and Biosensors for Point-of-Care Detection of Acrylamide

ACEK Biosensor for the Minute-Scale Quantification of Breast Cancer ctDNA

An alternating current electrokinetics biosensor for rapid on-site serological screening of Taenia solium cysticercosis infection

Assoc. Prof. Dr. Yong Zhou | Biosensors Awards | Best Researcher Award

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Assoc. Prof. Dr. Yong Zhou | Biosensors Awards | Best Researcher Award

Assoc. Prof. Dr. Yong Zhou, Central South University, China

Yong Zhou is an Associate Professor in the Department of Physiology at the School of Basic Medical Science, Central South University, China. With a Doctor of Science degree in Physiology, he focuses his research on lung injury repair, particularly examining the roles of glucose and lipid metabolism reprogramming, as well as mitochondrial dysfunction in this context. Dr. Zhou has an H-index of 26 and has authored several significant publications, including studies on myofibroblast apoptosis, alveolar epithelial cell necroptosis, and the activation of inflammasomes during acute lung injury. His contributions to the field are recognized in international journals, and he actively engages in advancing understanding of respiratory pathologies.

Professional Profile:

Orcid

Suitability for the Research for Best Researcher Awards: Yong Zhou

Summary of Suitability

Yong Zhou is a highly qualified candidate for the Research for Best Researcher Awards. His significant contributions to the understanding of lung injury repair through rigorous research, high-impact publications, and dedication to education make him a standout figure in the field of medical science. Recognizing his achievements with this award would not only honor his individual accomplishments but also inspire further advancements in respiratory research, ultimately benefiting patient care and public health initiatives globally.

🎓Education:

Yong Zhou earned his Bachelor of Medicine with a major in Medical Laboratory Science from Central South University, where he studied from August 2003 to July 2008. He then pursued a Doctor of Science degree in Physiology at the same institution, completing his studies from August 2008 to July 2013.

🏢Work Experience:

Yong Zhou has served as an Associate Professor in the Department of Physiology at the School of Basic Medical Science, Central South University, since July 2013. Prior to this role, he was a postgraduate student at Central South University from August 2008 to July 2013, where he focused on his doctoral studies in Physiology.

🏅Awards:

Dr. Zhou has gained recognition for his significant research contributions, demonstrated by his H-index of 26. This metric reflects his impactful presence in the field of physiology, particularly in the area of lung injury repair, underscoring the relevance and influence of his work within the scientific community.

Publication Top Notes:

  • The Role of Mitochondrial Quality Control in Chronic Obstructive Pulmonary Disease
  • Mitochondrial Citrate Accumulation Triggers Senescence of Alveolar Epithelial Cells Contributing to Pulmonary Fibrosis in Mice
  • Epoxyeicosatrienoic Acids Inhibit the Activation of Murine Fibroblasts by Blocking the TGF-β1-Smad2/3 Signaling in a PPARγ-Dependent Manner
  • COX-2/sEH Dual Inhibitor Alleviates Hepatocyte Senescence in NAFLD Mice by Restoring Autophagy through Sirt1/PI3K/AKT/mTOR
  • Beneficial Effects of Aloperine on Inflammation and Oxidative Stress by Suppressing Necroptosis in Lipopolysaccharide-Induced Acute Lung Injury Mouse Model

 

 

 

 

 

Dr. Xiaojin Luo | Biosensor Award | Best Researcher Award

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Dr. Xiaojin Luo | Biosensor Award | Best Researcher Award 

Dr. Xiaojin Luo, Ziin Mining Group co., Ltd, China

Xiaojin Luo received his B.S. degree from the Department of Energy and Resource Engineering at Peking University in 2014, followed by a doctoral degree from the Department of Materials Science and Engineering at Peking University in 2023, where he collaborated with Professor Cui. Currently, he is working in the field of electrocatalysis at Zijin Mining Group Co., Ltd. His research focuses on wearable bioelectronic devices for healthcare applications and fully integrated closed-loop systems for diabetes treatment. He has authored eight journal papers in prestigious publications, including ACS Sensors, IEEE Electron Device Letters, Analytica Chimica Acta, and Talanta.

Professional Profile:

Summary of Suitability for Best Researcher Award:

Xiaojin Luo’s extensive academic background and notable research accomplishments make him a strong candidate for the Best Researcher Award. Having earned both his B.S. and doctoral degrees from the prestigious Peking University, he has developed a deep understanding of energy, resource engineering, and materials science. His collaboration with Professor Cui at Peking University has further strengthened his expertise, especially in the field of electrocatalysis and wearable bioelectronic devices.

Education:

  • B.S. Degree (Energy and Resource Engineering), Peking University, 2014.
  • Doctoral Degree (Materials Science and Engineering), Peking University, 2023, under the supervision of Professor Cui.

Work Experience:

  • Currently working in the field of electrocatalysis at Zijin Mining Group Co., Ltd.
  • Research focus includes wearable bioelectronic devices for healthcare applications and developing fully integrated closed-loop systems for diabetes treatment.

He has also published eight first-authored journal papers in prominent publications such as ACS Sensors, IEEE Electron Device Letters, Analytica Chimica Acta, and Talanta.

Publication top Notes:

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